Update index.html
Browse files- index.html +367 -275
index.html
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<head>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<meta name="description" content="Interactive Embodied AI Autonomous Vehicle Simulator - Real-time AI decision making and navigation">
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<meta name="keywords" content="AI, autonomous vehicles, simulation, embodied AI, robotics, machine learning">
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<meta name="author" content="Embodied AI Research">
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<title>🚗 Embodied AI - Autonomous Vehicle Simulator</title>
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<!-- Open Graph Meta Tags for Social Sharing -->
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<meta property="og:title" content="Embodied AI Vehicle Simulator">
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<meta property="og:description" content="Interactive demonstration of autonomous vehicle AI with real-time decision making">
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<meta property="og:type" content="website">
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<meta property="og:image" content="https://via.placeholder.com/1200x630/667eea/ffffff?text=Embodied+AI+Vehicle+Simulator">
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<!-- Favicon -->
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<link rel="icon" href="data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 100 100'><text y='.9em' font-size='90'>🚗</text></svg>">
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<style>
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* {
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margin: 0;
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text-align: center;
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backdrop-filter: blur(10px);
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border-bottom: 1px solid rgba(255, 255, 255, 0.1);
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position: relative;
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}
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.header h1 {
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font-size: clamp(1.8rem, 4vw, 2.5rem);
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margin-bottom: 10px;
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text-shadow: 2px 2px 4px rgba(0, 0, 0, 0.3);
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background: linear-gradient(45deg, #fff, #e0e0e0);
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-webkit-background-clip: text;
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-webkit-text-fill-color: transparent;
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background-clip: text;
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}
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.header p {
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font-size: clamp(0.9rem, 2.5vw, 1.1rem);
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opacity: 0.9;
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}
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.hf-badge {
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position: absolute;
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top: 10px;
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right: 20px;
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background: rgba(255, 255, 255, 0.2);
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padding: 5px 10px;
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border-radius: 15px;
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font-size: 0.8rem;
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backdrop-filter: blur(5px);
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}
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.main-container {
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@@ -86,7 +53,6 @@
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padding: 20px;
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backdrop-filter: blur(10px);
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border: 1px solid rgba(255, 255, 255, 0.2);
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box-shadow: 0 8px 32px rgba(0, 0, 0, 0.1);
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}
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.canvas-container {
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@@ -96,7 +62,6 @@
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background: #1a1a2e;
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border-radius: 10px;
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overflow: hidden;
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box-shadow: 0 10px 30px rgba(0, 0, 0, 0.3);
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border: 2px solid rgba(255, 255, 255, 0.1);
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}
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@@ -115,7 +80,6 @@
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backdrop-filter: blur(10px);
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border: 1px solid rgba(255, 255, 255, 0.2);
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height: fit-content;
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box-shadow: 0 8px 32px rgba(0, 0, 0, 0.1);
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}
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.control-section {
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@@ -128,9 +92,6 @@
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color: #fff;
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border-bottom: 2px solid rgba(255, 255, 255, 0.3);
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padding-bottom: 8px;
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display: flex;
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align-items: center;
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gap: 8px;
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}
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.control-group {
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@@ -145,26 +106,6 @@
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font-size: 0.9rem;
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}
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.control-group input, .control-group select {
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width: 100%;
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padding: 10px 12px;
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border: none;
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border-radius: 8px;
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background: rgba(255, 255, 255, 0.2);
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color: white;
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font-size: 14px;
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transition: background 0.3s ease;
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}
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.control-group input:focus, .control-group select:focus {
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outline: 2px solid rgba(255, 255, 255, 0.5);
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background: rgba(255, 255, 255, 0.3);
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}
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.control-group input::placeholder {
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color: rgba(255, 255, 255, 0.6);
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}
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.slider-container {
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display: flex;
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align-items: center;
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.slider-container input[type="range"] {
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flex: 1;
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}
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.slider-value {
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text-align: center;
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}
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.btn {
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width: 100%;
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padding: 12px;
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@@ -194,41 +147,21 @@
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cursor: pointer;
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transition: all 0.3s ease;
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margin-bottom: 10px;
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position: relative;
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overflow: hidden;
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}
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.btn::before {
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content: '';
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position: absolute;
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top: 0;
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left: -100%;
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width: 100%;
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height: 100%;
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background: linear-gradient(90deg, transparent, rgba(255,255,255,0.2), transparent);
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transition: left 0.5s;
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}
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.btn:hover::before {
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left: 100%;
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}
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.btn-primary {
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background: linear-gradient(45deg, #4CAF50, #45a049);
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color: white;
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box-shadow: 0 4px 15px rgba(76, 175, 80, 0.3);
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}
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.btn-secondary {
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background: linear-gradient(45deg, #2196F3, #1976D2);
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color: white;
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box-shadow: 0 4px 15px rgba(33, 150, 243, 0.3);
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}
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.btn-danger {
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background: linear-gradient(45deg, #f44336, #d32f2f);
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color: white;
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box-shadow: 0 4px 15px rgba(244, 67, 54, 0.3);
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}
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.btn:hover {
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@@ -236,10 +169,6 @@
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box-shadow: 0 6px 20px rgba(0, 0, 0, 0.3);
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}
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.btn:active {
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transform: translateY(0);
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}
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.btn:disabled {
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opacity: 0.6;
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cursor: not-allowed;
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@@ -254,12 +183,6 @@
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border: 1px solid rgba(255, 255, 255, 0.1);
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}
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.stats h4 {
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margin-bottom: 12px;
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color: #fff;
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font-size: 1.1rem;
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}
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.stat-item {
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display: flex;
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justify-content: space-between;
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@@ -268,10 +191,6 @@
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padding: 4px 0;
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}
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.stat-label {
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color: #ccc;
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}
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.stat-value {
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color: #4CAF50;
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font-weight: 600;
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border-radius: 8px;
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margin-top: 15px;
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font-size: 13px;
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line-height: 1.5;
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border: 1px solid rgba(255, 255, 255, 0.1);
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}
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.ai-info h4 {
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margin-bottom: 10px;
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color: #fff;
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}
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.ai-info ul {
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margin-left: 15px;
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margin-top: 8px;
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}
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.ai-info li {
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margin-bottom: 4px;
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color: #e0e0e0;
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}
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.current-decision {
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@@ -334,29 +236,8 @@
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width: 16px;
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height: 16px;
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border-radius: 50%;
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box-shadow: 0 2px 4px rgba(0, 0, 0, 0.3);
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}
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.footer {
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background: rgba(0, 0, 0, 0.3);
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padding: 15px;
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text-align: center;
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backdrop-filter: blur(10px);
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border-top: 1px solid rgba(255, 255, 255, 0.1);
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font-size: 0.9rem;
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color: rgba(255, 255, 255, 0.8);
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}
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.footer a {
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color: #4CAF50;
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text-decoration: none;
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}
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.footer a:hover {
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text-decoration: underline;
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}
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/* Mobile Responsive */
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@media (max-width: 768px) {
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.main-container {
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flex-direction: column;
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.canvas-container {
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height: 400px;
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}
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.header {
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padding: 15px;
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}
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.hf-badge {
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position: static;
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margin-top: 10px;
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display: inline-block;
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}
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}
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/* Loading Animation */
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.loading {
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display: flex;
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justify-content: center;
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align-items: center;
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position: absolute;
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top: 0;
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left: 0;
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right: 0;
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bottom: 0;
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background: rgba(26, 26, 46, 0.9);
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color: white;
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font-size: 18px;
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}
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.loading::after {
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content: '';
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width: 40px;
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height: 40px;
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border: 4px solid rgba(255, 255, 255, 0.3);
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border-top: 4px solid #4CAF50;
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border-radius: 50%;
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animation: spin 1s linear infinite;
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margin-left: 15px;
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}
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@keyframes spin {
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0% { transform: rotate(0deg); }
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100% { transform: rotate(360deg); }
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}
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/* Pulse animation for status indicators */
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.pulse {
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animation: pulse 2s infinite;
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}
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@keyframes pulse {
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0% { opacity: 1; }
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50% { opacity: 0.5; }
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100% { opacity: 1; }
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}
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</style>
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</head>
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<body>
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<div class="header">
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<div class="hf-badge">🤗 Hugging Face Space</div>
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<h1>🚗 Embodied AI Vehicle Simulator</h1>
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<p>Interactive autonomous vehicle navigation with real-time AI decision making</p>
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</div>
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<div class="simulation-area">
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<div class="canvas-container">
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<canvas id="simulationCanvas"></canvas>
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<div class="loading" id="loadingIndicator">
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Initializing AI System...
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</div>
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</div>
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<div class="legend">
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<div class="control-group">
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<label>Vehicle Speed</label>
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<div class="slider-container">
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<input type="range" id="speedSlider" min="0" max="5" value="2" step="0.5">
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<span class="slider-value" id="speedValue">2.0</span>
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</div>
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</div>
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<div class="stats">
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<h4>📊 Performance Metrics</h4>
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<div class="stat-item">
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<span
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<span class="stat-value" id="distanceTraveled">0m</span>
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</div>
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<div class="stat-item">
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<span
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<span class="stat-value" id="targetsReached">0</span>
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</div>
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<div class="stat-item">
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<span
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<span class="stat-value" id="obstaclesAvoided">0</span>
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</div>
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<div class="stat-item">
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<span
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<span class="stat-value
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</div>
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</div>
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<div class="ai-info">
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<h4>🧠 AI Decision Engine</h4>
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<div class="current-decision" id="currentDecision">
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<p><strong>
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<ul>
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<li>Real-time sensor processing</li>
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<li>Dynamic path planning</li>
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<li>
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<li>
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<li>Environmental coupling</li>
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</ul>
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</div>
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</div>
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</div>
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<div class="footer">
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<p>
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Built with ❤️ for the AI community •
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<a href="https://huggingface.co/spaces" target="_blank">Hugging Face Spaces</a> •
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Click to add targets, Shift+Click for obstacles
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</p>
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</div>
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<script>
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//
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const canvas = document.getElementById('simulationCanvas');
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const ctx = canvas.getContext('2d');
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const loadingIndicator = document.getElementById('loadingIndicator');
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// Performance optimization
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let devicePixelRatio = window.devicePixelRatio || 1;
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function resizeCanvas() {
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const container = canvas.parentElement;
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const rect = container.getBoundingClientRect();
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canvas.
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canvas.height = rect.height * devicePixelRatio;
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canvas.style.width = rect.width + 'px';
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canvas.style.height = rect.height + 'px';
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ctx.scale(devicePixelRatio, devicePixelRatio);
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}
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resizeCanvas();
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window.addEventListener('resize', resizeCanvas);
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// Simulation
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let isRunning = false;
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let isPaused = false;
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let animationId = null;
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let
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let decisionCount = 0;
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let lastDecisionTime =
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let frameCount = 0;
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//
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class AutonomousVehicle {
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constructor(x, y) {
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this.x = x;
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this.vy = 0;
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this.angle = 0;
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this.speed = 2;
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this.maxSpeed = 5;
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this.size = 15;
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this.sensorRange = 100;
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this.sensors = [];
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this.path = [];
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this.currentTarget = null;
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this.distanceTraveled = 0;
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this.lastX = x;
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this.lastY = y;
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this.
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this.avoidanceVector = { x: 0, y: 0 };
|
| 602 |
-
this.stuckCounter = 0;
|
| 603 |
-
this.lastPosition = { x: x, y: y };
|
| 604 |
-
this.wanderAngle = 0;
|
| 605 |
}
|
| 606 |
|
| 607 |
updateSensors() {
|
| 608 |
this.sensors = [];
|
| 609 |
-
const numSensors =
|
| 610 |
|
| 611 |
for (let i = 0; i < numSensors; i++) {
|
| 612 |
const angle = (i / numSensors) * 2 * Math.PI;
|
| 613 |
-
const endX = this.x + Math.cos(angle) * this.sensorRange;
|
| 614 |
-
const endY = this.y + Math.sin(angle) * this.sensorRange;
|
| 615 |
-
|
| 616 |
let distance = this.sensorRange;
|
| 617 |
-
let hitObstacle = false;
|
| 618 |
|
| 619 |
-
// Check
|
| 620 |
for (let obstacle of obstacles) {
|
| 621 |
const dx = obstacle.x - this.x;
|
| 622 |
const dy = obstacle.y - this.y;
|
| 623 |
const distToObstacle = Math.sqrt(dx * dx + dy * dy);
|
|
|
|
|
|
|
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|
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|
|
| 624 |
|
| 625 |
-
if (
|
| 626 |
-
|
| 627 |
-
let angleDiff = Math.abs(angle - angleToObstacle);
|
| 628 |
-
if (angleDiff > Math.PI) angleDiff = 2 * Math.PI - angleDiff;
|
| 629 |
-
|
| 630 |
-
const detectionCone = 0.3; // Wider detection cone
|
| 631 |
-
if (angleDiff < detectionCone) {
|
| 632 |
-
const actualDistance = Math.max(0, distToObstacle - obstacle.size - 5);
|
| 633 |
-
if (actualDistance < distance) {
|
| 634 |
-
distance = actualDistance;
|
| 635 |
-
hitObstacle = true;
|
| 636 |
-
}
|
| 637 |
-
}
|
| 638 |
}
|
| 639 |
}
|
| 640 |
|
| 641 |
-
// Check
|
| 642 |
-
const
|
| 643 |
-
|
| 644 |
-
|
| 645 |
-
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|
| 646 |
|
| 647 |
this.sensors.push({
|
| 648 |
angle: angle,
|
| 649 |
distance: distance,
|
| 650 |
x: this.x + Math.cos(angle) * distance,
|
| 651 |
-
y: this.y + Math.sin(angle) * distance
|
| 652 |
-
hitObstacle: hitObstacle
|
| 653 |
});
|
| 654 |
}
|
| 655 |
}
|
| 656 |
|
| 657 |
-
|
| 658 |
-
|
| 659 |
-
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| 660 |
|
| 661 |
-
|
| 662 |
-
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| 663 |
|
| 664 |
-
let
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| 665 |
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| 666 |
-
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| 667 |
-
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| 668 |
-
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| 669 |
-
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|
| 670 |
}
|
| 671 |
|
| 672 |
-
|
| 673 |
-
|
| 674 |
-
|
| 675 |
-
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| 676 |
}
|
| 677 |
|
| 678 |
-
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|
| 679 |
}
|
| 680 |
}
|
| 681 |
-
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|
| 3 |
<head>
|
| 4 |
<meta charset="UTF-8">
|
| 5 |
<meta name="viewport" content="width=device-width, initial-scale=1.0">
|
|
|
|
|
|
|
|
|
|
| 6 |
<title>🚗 Embodied AI - Autonomous Vehicle Simulator</title>
|
| 7 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
| 8 |
<style>
|
| 9 |
* {
|
| 10 |
margin: 0;
|
|
|
|
| 28 |
text-align: center;
|
| 29 |
backdrop-filter: blur(10px);
|
| 30 |
border-bottom: 1px solid rgba(255, 255, 255, 0.1);
|
|
|
|
| 31 |
}
|
| 32 |
|
| 33 |
.header h1 {
|
| 34 |
font-size: clamp(1.8rem, 4vw, 2.5rem);
|
| 35 |
margin-bottom: 10px;
|
| 36 |
text-shadow: 2px 2px 4px rgba(0, 0, 0, 0.3);
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
| 37 |
}
|
| 38 |
|
| 39 |
.main-container {
|
|
|
|
| 53 |
padding: 20px;
|
| 54 |
backdrop-filter: blur(10px);
|
| 55 |
border: 1px solid rgba(255, 255, 255, 0.2);
|
|
|
|
| 56 |
}
|
| 57 |
|
| 58 |
.canvas-container {
|
|
|
|
| 62 |
background: #1a1a2e;
|
| 63 |
border-radius: 10px;
|
| 64 |
overflow: hidden;
|
|
|
|
| 65 |
border: 2px solid rgba(255, 255, 255, 0.1);
|
| 66 |
}
|
| 67 |
|
|
|
|
| 80 |
backdrop-filter: blur(10px);
|
| 81 |
border: 1px solid rgba(255, 255, 255, 0.2);
|
| 82 |
height: fit-content;
|
|
|
|
| 83 |
}
|
| 84 |
|
| 85 |
.control-section {
|
|
|
|
| 92 |
color: #fff;
|
| 93 |
border-bottom: 2px solid rgba(255, 255, 255, 0.3);
|
| 94 |
padding-bottom: 8px;
|
|
|
|
|
|
|
|
|
|
| 95 |
}
|
| 96 |
|
| 97 |
.control-group {
|
|
|
|
| 106 |
font-size: 0.9rem;
|
| 107 |
}
|
| 108 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 109 |
.slider-container {
|
| 110 |
display: flex;
|
| 111 |
align-items: center;
|
|
|
|
| 114 |
|
| 115 |
.slider-container input[type="range"] {
|
| 116 |
flex: 1;
|
| 117 |
+
background: rgba(255, 255, 255, 0.2);
|
| 118 |
+
border-radius: 5px;
|
| 119 |
}
|
| 120 |
|
| 121 |
.slider-value {
|
|
|
|
| 127 |
text-align: center;
|
| 128 |
}
|
| 129 |
|
| 130 |
+
select {
|
| 131 |
+
width: 100%;
|
| 132 |
+
padding: 10px;
|
| 133 |
+
border: none;
|
| 134 |
+
border-radius: 8px;
|
| 135 |
+
background: rgba(255, 255, 255, 0.2);
|
| 136 |
+
color: white;
|
| 137 |
+
font-size: 14px;
|
| 138 |
+
}
|
| 139 |
+
|
| 140 |
.btn {
|
| 141 |
width: 100%;
|
| 142 |
padding: 12px;
|
|
|
|
| 147 |
cursor: pointer;
|
| 148 |
transition: all 0.3s ease;
|
| 149 |
margin-bottom: 10px;
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 150 |
}
|
| 151 |
|
| 152 |
.btn-primary {
|
| 153 |
background: linear-gradient(45deg, #4CAF50, #45a049);
|
| 154 |
color: white;
|
|
|
|
| 155 |
}
|
| 156 |
|
| 157 |
.btn-secondary {
|
| 158 |
background: linear-gradient(45deg, #2196F3, #1976D2);
|
| 159 |
color: white;
|
|
|
|
| 160 |
}
|
| 161 |
|
| 162 |
.btn-danger {
|
| 163 |
background: linear-gradient(45deg, #f44336, #d32f2f);
|
| 164 |
color: white;
|
|
|
|
| 165 |
}
|
| 166 |
|
| 167 |
.btn:hover {
|
|
|
|
| 169 |
box-shadow: 0 6px 20px rgba(0, 0, 0, 0.3);
|
| 170 |
}
|
| 171 |
|
|
|
|
|
|
|
|
|
|
|
|
|
| 172 |
.btn:disabled {
|
| 173 |
opacity: 0.6;
|
| 174 |
cursor: not-allowed;
|
|
|
|
| 183 |
border: 1px solid rgba(255, 255, 255, 0.1);
|
| 184 |
}
|
| 185 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 186 |
.stat-item {
|
| 187 |
display: flex;
|
| 188 |
justify-content: space-between;
|
|
|
|
| 191 |
padding: 4px 0;
|
| 192 |
}
|
| 193 |
|
|
|
|
|
|
|
|
|
|
|
|
|
| 194 |
.stat-value {
|
| 195 |
color: #4CAF50;
|
| 196 |
font-weight: 600;
|
|
|
|
| 203 |
border-radius: 8px;
|
| 204 |
margin-top: 15px;
|
| 205 |
font-size: 13px;
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
| 206 |
}
|
| 207 |
|
| 208 |
.current-decision {
|
|
|
|
| 236 |
width: 16px;
|
| 237 |
height: 16px;
|
| 238 |
border-radius: 50%;
|
|
|
|
| 239 |
}
|
| 240 |
|
|
|
|
|
|
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|
|
| 241 |
@media (max-width: 768px) {
|
| 242 |
.main-container {
|
| 243 |
flex-direction: column;
|
|
|
|
| 251 |
.canvas-container {
|
| 252 |
height: 400px;
|
| 253 |
}
|
|
|
|
|
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|
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|
| 254 |
}
|
| 255 |
</style>
|
| 256 |
</head>
|
| 257 |
<body>
|
| 258 |
<div class="header">
|
|
|
|
| 259 |
<h1>🚗 Embodied AI Vehicle Simulator</h1>
|
| 260 |
<p>Interactive autonomous vehicle navigation with real-time AI decision making</p>
|
| 261 |
</div>
|
|
|
|
| 264 |
<div class="simulation-area">
|
| 265 |
<div class="canvas-container">
|
| 266 |
<canvas id="simulationCanvas"></canvas>
|
|
|
|
|
|
|
|
|
|
| 267 |
</div>
|
| 268 |
|
| 269 |
<div class="legend">
|
|
|
|
| 299 |
<div class="control-group">
|
| 300 |
<label>Vehicle Speed</label>
|
| 301 |
<div class="slider-container">
|
| 302 |
+
<input type="range" id="speedSlider" min="0.5" max="5" value="2" step="0.5">
|
| 303 |
<span class="slider-value" id="speedValue">2.0</span>
|
| 304 |
</div>
|
| 305 |
</div>
|
|
|
|
| 330 |
<div class="stats">
|
| 331 |
<h4>📊 Performance Metrics</h4>
|
| 332 |
<div class="stat-item">
|
| 333 |
+
<span>Distance Traveled:</span>
|
| 334 |
<span class="stat-value" id="distanceTraveled">0m</span>
|
| 335 |
</div>
|
| 336 |
<div class="stat-item">
|
| 337 |
+
<span>Targets Reached:</span>
|
| 338 |
<span class="stat-value" id="targetsReached">0</span>
|
| 339 |
</div>
|
| 340 |
<div class="stat-item">
|
| 341 |
+
<span>Obstacles Avoided:</span>
|
| 342 |
<span class="stat-value" id="obstaclesAvoided">0</span>
|
| 343 |
</div>
|
| 344 |
<div class="stat-item">
|
| 345 |
+
<span>AI Decisions/sec:</span>
|
| 346 |
+
<span class="stat-value" id="decisionsPerSec">0</span>
|
| 347 |
</div>
|
| 348 |
</div>
|
| 349 |
|
| 350 |
<div class="ai-info">
|
| 351 |
<h4>🧠 AI Decision Engine</h4>
|
| 352 |
+
<div class="current-decision" id="currentDecision">Ready to start simulation</div>
|
| 353 |
|
| 354 |
+
<p><strong>Features:</strong></p>
|
| 355 |
<ul>
|
| 356 |
<li>Real-time sensor processing</li>
|
| 357 |
<li>Dynamic path planning</li>
|
| 358 |
+
<li>Obstacle avoidance</li>
|
| 359 |
+
<li>Target seeking behavior</li>
|
|
|
|
| 360 |
</ul>
|
| 361 |
</div>
|
| 362 |
</div>
|
| 363 |
</div>
|
| 364 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 365 |
<script>
|
| 366 |
+
// Canvas setup
|
| 367 |
const canvas = document.getElementById('simulationCanvas');
|
| 368 |
const ctx = canvas.getContext('2d');
|
|
|
|
|
|
|
|
|
|
|
|
|
| 369 |
|
| 370 |
function resizeCanvas() {
|
| 371 |
const container = canvas.parentElement;
|
| 372 |
const rect = container.getBoundingClientRect();
|
| 373 |
+
canvas.width = rect.width;
|
| 374 |
+
canvas.height = rect.height;
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 375 |
}
|
| 376 |
|
| 377 |
resizeCanvas();
|
| 378 |
window.addEventListener('resize', resizeCanvas);
|
| 379 |
|
| 380 |
+
// Simulation variables
|
| 381 |
let isRunning = false;
|
|
|
|
| 382 |
let animationId = null;
|
| 383 |
+
let vehicle = null;
|
| 384 |
+
let obstacles = [];
|
| 385 |
+
let targets = [];
|
| 386 |
+
let stats = {
|
| 387 |
+
distanceTraveled: 0,
|
| 388 |
+
targetsReached: 0,
|
| 389 |
+
obstaclesAvoided: 0,
|
| 390 |
+
decisionsPerSecond: 0
|
| 391 |
+
};
|
| 392 |
let decisionCount = 0;
|
| 393 |
+
let lastDecisionTime = Date.now();
|
|
|
|
| 394 |
|
| 395 |
+
// Vehicle class
|
| 396 |
class AutonomousVehicle {
|
| 397 |
constructor(x, y) {
|
| 398 |
this.x = x;
|
|
|
|
| 401 |
this.vy = 0;
|
| 402 |
this.angle = 0;
|
| 403 |
this.speed = 2;
|
|
|
|
| 404 |
this.size = 15;
|
| 405 |
this.sensorRange = 100;
|
| 406 |
this.sensors = [];
|
|
|
|
|
|
|
|
|
|
| 407 |
this.lastX = x;
|
| 408 |
this.lastY = y;
|
| 409 |
+
this.wanderAngle = Math.random() * Math.PI * 2;
|
|
|
|
|
|
|
|
|
|
|
|
|
| 410 |
}
|
| 411 |
|
| 412 |
updateSensors() {
|
| 413 |
this.sensors = [];
|
| 414 |
+
const numSensors = 8;
|
| 415 |
|
| 416 |
for (let i = 0; i < numSensors; i++) {
|
| 417 |
const angle = (i / numSensors) * 2 * Math.PI;
|
|
|
|
|
|
|
|
|
|
| 418 |
let distance = this.sensorRange;
|
|
|
|
| 419 |
|
| 420 |
+
// Check obstacles
|
| 421 |
for (let obstacle of obstacles) {
|
| 422 |
const dx = obstacle.x - this.x;
|
| 423 |
const dy = obstacle.y - this.y;
|
| 424 |
const distToObstacle = Math.sqrt(dx * dx + dy * dy);
|
| 425 |
+
const angleToObstacle = Math.atan2(dy, dx);
|
| 426 |
+
|
| 427 |
+
let angleDiff = Math.abs(angle - angleToObstacle);
|
| 428 |
+
if (angleDiff > Math.PI) angleDiff = 2 * Math.PI - angleDiff;
|
| 429 |
|
| 430 |
+
if (angleDiff < 0.5 && distToObstacle < distance) {
|
| 431 |
+
distance = Math.max(0, distToObstacle - obstacle.size);
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 432 |
}
|
| 433 |
}
|
| 434 |
|
| 435 |
+
// Check boundaries
|
| 436 |
+
const cos = Math.cos(angle);
|
| 437 |
+
const sin = Math.sin(angle);
|
| 438 |
+
|
| 439 |
+
if (cos > 0) distance = Math.min(distance, (canvas.width - this.x) / cos);
|
| 440 |
+
else if (cos < 0) distance = Math.min(distance, -this.x / cos);
|
| 441 |
+
|
| 442 |
+
if (sin > 0) distance = Math.min(distance, (canvas.height - this.y) / sin);
|
| 443 |
+
else if (sin < 0) distance = Math.min(distance, -this.y / sin);
|
| 444 |
+
|
| 445 |
+
distance = Math.max(0, distance - 10);
|
| 446 |
|
| 447 |
this.sensors.push({
|
| 448 |
angle: angle,
|
| 449 |
distance: distance,
|
| 450 |
x: this.x + Math.cos(angle) * distance,
|
| 451 |
+
y: this.y + Math.sin(angle) * distance
|
|
|
|
| 452 |
});
|
| 453 |
}
|
| 454 |
}
|
| 455 |
|
| 456 |
+
makeDecision() {
|
| 457 |
+
decisionCount++;
|
| 458 |
+
let decision = 'Exploring';
|
| 459 |
|
| 460 |
+
// Find closest target
|
| 461 |
+
let closestTarget = null;
|
| 462 |
+
let minTargetDist = Infinity;
|
| 463 |
|
| 464 |
+
for (let target of targets) {
|
| 465 |
+
const dist = Math.sqrt((target.x - this.x) ** 2 + (target.y - this.y) ** 2);
|
| 466 |
+
if (dist < minTargetDist) {
|
| 467 |
+
minTargetDist = dist;
|
| 468 |
+
closestTarget = target;
|
| 469 |
+
}
|
| 470 |
+
}
|
| 471 |
|
| 472 |
+
// Calculate avoidance
|
| 473 |
+
let avoidX = 0, avoidY = 0;
|
| 474 |
+
let hasObstacle = false;
|
| 475 |
+
|
| 476 |
+
for (let sensor of this.sensors) {
|
| 477 |
+
if (sensor.distance < this.sensorRange * 0.6) {
|
| 478 |
+
hasObstacle = true;
|
| 479 |
+
const strength = (this.sensorRange * 0.6 - sensor.distance) / (this.sensorRange * 0.6);
|
| 480 |
+
avoidX -= Math.cos(sensor.angle) * strength;
|
| 481 |
+
avoidY -= Math.sin(sensor.angle) * strength;
|
| 482 |
+
}
|
| 483 |
}
|
| 484 |
|
| 485 |
+
// Apply forces
|
| 486 |
+
if (hasObstacle) {
|
| 487 |
+
decision = 'Avoiding obstacle';
|
| 488 |
+
this.vx += avoidX * 0.5;
|
| 489 |
+
this.vy += avoidY * 0.5;
|
| 490 |
+
stats.obstaclesAvoided++;
|
| 491 |
+
} else if (closestTarget && minTargetDist < 300) {
|
| 492 |
+
decision = `Pursuing target (${Math.round(minTargetDist)}px away)`;
|
| 493 |
+
const dx = closestTarget.x - this.x;
|
| 494 |
+
const dy = closestTarget.y - this.y;
|
| 495 |
+
const dist = Math.sqrt(dx * dx + dy * dy);
|
| 496 |
+
|
| 497 |
+
if (dist > 0) {
|
| 498 |
+
this.vx += (dx / dist) * 0.2;
|
| 499 |
+
this.vy += (dy / dist) * 0.2;
|
| 500 |
+
}
|
| 501 |
+
} else {
|
| 502 |
+
decision = 'Wandering and exploring';
|
| 503 |
+
this.wanderAngle += (Math.random() - 0.5) * 0.3;
|
| 504 |
+
this.vx += Math.cos(this.wanderAngle) * 0.1;
|
| 505 |
+
this.vy += Math.sin(this.wanderAngle) * 0.1;
|
| 506 |
}
|
| 507 |
|
| 508 |
+
document.getElementById('currentDecision').textContent = decision;
|
| 509 |
+
return decision;
|
| 510 |
+
}
|
| 511 |
+
|
| 512 |
+
update() {
|
| 513 |
+
this.speed = parseFloat(document.getElementById('speedSlider').value);
|
| 514 |
+
this.sensorRange = parseInt(document.getElementById('sensorRange').value);
|
| 515 |
+
|
| 516 |
+
this.updateSensors();
|
| 517 |
+
this.makeDecision();
|
| 518 |
+
|
| 519 |
+
// Limit velocity
|
| 520 |
+
const vel = Math.sqrt(this.vx * this.vx + this.vy * this.vy);
|
| 521 |
+
if (vel > this.speed) {
|
| 522 |
+
this.vx = (this.vx / vel) * this.speed;
|
| 523 |
+
this.vy = (this.vy / vel) * this.speed;
|
| 524 |
+
}
|
| 525 |
+
|
| 526 |
+
// Update position
|
| 527 |
+
this.lastX = this.x;
|
| 528 |
+
this.lastY = this.y;
|
| 529 |
+
this.x += this.vx;
|
| 530 |
+
this.y += this.vy;
|
| 531 |
+
|
| 532 |
+
// Boundary collision
|
| 533 |
+
if (this.x < this.size) {
|
| 534 |
+
this.x = this.size;
|
| 535 |
+
this.vx = Math.abs(this.vx);
|
| 536 |
+
}
|
| 537 |
+
if (this.x > canvas.width - this.size) {
|
| 538 |
+
this.x = canvas.width - this.size;
|
| 539 |
+
this.vx = -Math.abs(this.vx);
|
| 540 |
+
}
|
| 541 |
+
if (this.y < this.size) {
|
| 542 |
+
this.y = this.size;
|
| 543 |
+
this.vy = Math.abs(this.vy);
|
| 544 |
+
}
|
| 545 |
+
if (this.y > canvas.height - this.size) {
|
| 546 |
+
this.y = canvas.height - this.size;
|
| 547 |
+
this.vy = -Math.abs(this.vy);
|
| 548 |
+
}
|
| 549 |
+
|
| 550 |
+
// Update stats
|
| 551 |
+
const distance = Math.sqrt((this.x - this.lastX) ** 2 + (this.y - this.lastY) ** 2);
|
| 552 |
+
stats.distanceTraveled += distance;
|
| 553 |
+
|
| 554 |
+
// Check target collisions
|
| 555 |
+
targets = targets.filter(target => {
|
| 556 |
+
const dist = Math.sqrt((target.x - this.x) ** 2 + (target.y - this.y) ** 2);
|
| 557 |
+
if (dist < this.size + target.size) {
|
| 558 |
+
stats.targetsReached++;
|
| 559 |
+
return false;
|
| 560 |
+
}
|
| 561 |
+
return true;
|
| 562 |
+
});
|
| 563 |
+
|
| 564 |
+
// Apply friction
|
| 565 |
+
this.vx *= 0.98;
|
| 566 |
+
this.vy *= 0.98;
|
| 567 |
+
}
|
| 568 |
+
|
| 569 |
+
draw() {
|
| 570 |
+
// Draw sensors
|
| 571 |
+
ctx.strokeStyle = 'rgba(255, 193, 7, 0.3)';
|
| 572 |
+
ctx.lineWidth = 1;
|
| 573 |
+
for (let sensor of this.sensors) {
|
| 574 |
+
ctx.beginPath();
|
| 575 |
+
ctx.moveTo(this.x, this.y);
|
| 576 |
+
ctx.lineTo(sensor.x, sensor.y);
|
| 577 |
+
ctx.stroke();
|
| 578 |
+
}
|
| 579 |
+
|
| 580 |
+
// Draw vehicle
|
| 581 |
+
ctx.fillStyle = '#4CAF50';
|
| 582 |
+
ctx.beginPath();
|
| 583 |
+
ctx.arc(this.x, this.y, this.size, 0, Math.PI * 2);
|
| 584 |
+
ctx.fill();
|
| 585 |
+
|
| 586 |
+
// Draw direction indicator
|
| 587 |
+
ctx.strokeStyle = '#ffffff';
|
| 588 |
+
ctx.lineWidth = 3;
|
| 589 |
+
ctx.beginPath();
|
| 590 |
+
ctx.moveTo(this.x, this.y);
|
| 591 |
+
ctx.lineTo(this.x + this.vx * 5, this.y + this.vy * 5);
|
| 592 |
+
ctx.stroke();
|
| 593 |
+
}
|
| 594 |
+
}
|
| 595 |
+
|
| 596 |
+
// Obstacle class
|
| 597 |
+
class Obstacle {
|
| 598 |
+
constructor(x, y, size = 20) {
|
| 599 |
+
this.x = x;
|
| 600 |
+
this.y = y;
|
| 601 |
+
this.size = size;
|
| 602 |
+
}
|
| 603 |
+
|
| 604 |
+
draw() {
|
| 605 |
+
ctx.fillStyle = '#f44336';
|
| 606 |
+
ctx.beginPath();
|
| 607 |
+
ctx.arc(this.x, this.y, this.size, 0, Math.PI * 2);
|
| 608 |
+
ctx.fill();
|
| 609 |
+
}
|
| 610 |
+
}
|
| 611 |
+
|
| 612 |
+
// Target class
|
| 613 |
+
class Target {
|
| 614 |
+
constructor(x, y, size = 15) {
|
| 615 |
+
this.x = x;
|
| 616 |
+
this.y = y;
|
| 617 |
+
this.size = size;
|
| 618 |
+
this.pulse = 0;
|
| 619 |
+
}
|
| 620 |
+
|
| 621 |
+
update() {
|
| 622 |
+
this.pulse += 0.1;
|
| 623 |
+
}
|
| 624 |
+
|
| 625 |
+
draw() {
|
| 626 |
+
const alpha = 0.5 + 0.3 * Math.sin(this.pulse);
|
| 627 |
+
ctx.fillStyle = `rgba(33, 150, 243, ${alpha})`;
|
| 628 |
+
ctx.beginPath();
|
| 629 |
+
ctx.arc(this.x, this.y, this.size + 3 * Math.sin(this.pulse), 0, Math.PI * 2);
|
| 630 |
+
ctx.fill();
|
| 631 |
}
|
| 632 |
}
|
| 633 |
+
|
| 634 |
+
// Animation loop
|
| 635 |
+
function animate() {
|
| 636 |
+
if (!isRunning) return;
|
| 637 |
+
|
| 638 |
+
ctx.clearRect(0, 0, canvas.width, canvas.height);
|
| 639 |
+
|
| 640 |
+
// Update and draw vehicle
|
| 641 |
+
if (vehicle) {
|
| 642 |
+
vehicle.update();
|
| 643 |
+
vehicle.draw();
|
| 644 |
+
}
|
| 645 |
+
|
| 646 |
+
// Update and draw targets
|
| 647 |
+
targets.forEach(target => {
|
| 648 |
+
target.update();
|
| 649 |
+
target.draw();
|
| 650 |
+
});
|
| 651 |
+
|
| 652 |
+
// Draw obstacles
|
| 653 |
+
obstacles.forEach(obstacle => obstacle.draw());
|
| 654 |
+
|
| 655 |
+
// Update UI stats
|
| 656 |
+
updateStats();
|
| 657 |
+
|
| 658 |
+
animationId = requestAnimationFrame(animate);
|
| 659 |
+
}
|
| 660 |
+
|
| 661 |
+
function updateStats() {
|
| 662 |
+
document.getElementById('distanceTraveled').textContent = Math.round(stats.distanceTraveled) + 'm';
|
| 663 |
+
document.getElementById('targetsReached').textContent = stats.targetsReached;
|
| 664 |
+
document.getElementById('obstaclesAvoided').textContent = stats.obstaclesAvoided;
|
| 665 |
+
|
| 666 |
+
// Calculate decisions per second
|
| 667 |
+
const now = Date.now();
|
| 668 |
+
if (now - lastDecisionTime >= 1000) {
|
| 669 |
+
stats.decisionsPerSecond = decisionCount;
|
| 670 |
+
document.getElementById('decisionsPerSec').textContent = stats.decisionsPerSecond;
|
| 671 |
+
decisionCount = 0;
|
| 672 |
+
lastDecisionTime = now;
|
| 673 |
+
}
|
| 674 |
+
}
|
| 675 |
+
|
| 676 |
+
// Initialize simulation
|
| 677 |
+
function initSimulation() {
|
| 678 |
+
vehicle = new AutonomousVehicle(100, 100);
|
| 679 |
+
|
| 680 |
+
// Add some initial obstacles and targets
|
| 681 |
+
obstacles.push(new Obstacle(300, 200, 25));
|
| 682 |
+
obstacles.push(new Obstacle(500, 400, 30));
|
| 683 |
+
targets.push(new Target(600, 150));
|
| 684 |
+
targets.push(new Target(200, 400));
|
| 685 |
+
|
| 686 |
+
document.getElementById('currentDecision').textContent = 'Ready - Click Start!';
|
| 687 |
+
}
|
| 688 |
+
|
| 689 |
+
// Control functions
|
| 690 |
+
function startSimulation() {
|
| 691 |
+
if (!vehicle) initSimulation();
|
| 692 |
+
isRunning = true;
|
| 693 |
+
document.getElementById('startBtn').disabled = true;
|
| 694 |
+
document.getElementById('pauseBtn').disabled = false;
|
| 695 |
+
animate();
|
| 696 |
+
}
|
| 697 |
+
|
| 698 |
+
function pauseSimulation() {
|
| 699 |
+
isRunning = false;
|
| 700 |
+
document.getElementById('startBtn').disabled = false;
|
| 701 |
+
document.getElementById('pauseBtn').disabled = true;
|
| 702 |
+
if (animationId) {
|
| 703 |
+
cancelAnimationFrame(animationId);
|
| 704 |
+
}
|
| 705 |
+
}
|
| 706 |
+
|
| 707 |
+
function resetSimulation() {
|
| 708 |
+
isRunning = false;
|
| 709 |
+
if (animationId) {
|
| 710 |
+
cancelAnimationFrame(animationId);
|
| 711 |
+
}
|
| 712 |
+
|
| 713 |
+
obstacles = [];
|
| 714 |
+
targets = [];
|
| 715 |
+
stats = { distanceTraveled: 0, targetsReached: 0, obstaclesAvoided: 0, decisionsPerSecond: 0 };
|
| 716 |
+
decisionCount = 0;
|
| 717 |
+
|
| 718 |
+
document.getElementById('startBtn').disabled = false;
|
| 719 |
+
document.getElementById('pauseBtn').disabled = true;
|
| 720 |
+
|
| 721 |
+
ctx.clearRect(0, 0, canvas.width, canvas.height);
|
| 722 |
+
initSimulation();
|
| 723 |
+
}
|
| 724 |
+
|
| 725 |
+
// Event listeners
|
| 726 |
+
document.getElementById('startBtn').addEventListener('click', startSimulation);
|
| 727 |
+
document.getElementById('pauseBtn').addEventListener('click', pauseSimulation);
|
| 728 |
+
document.getElementById('resetBtn').addEventListener('click', resetSimulation);
|
| 729 |
+
|
| 730 |
+
document.getElementById('addObstacleBtn').addEventListener('click', () => {
|
| 731 |
+
const x = Math.random() * (canvas.width - 100) + 50;
|
| 732 |
+
const y = Math.random() * (canvas.height - 100) + 50;
|
| 733 |
+
obstacles.push(new Obstacle(x, y, 20 + Math.random() * 20));
|
| 734 |
+
});
|
| 735 |
+
|
| 736 |
+
document.getElementById('addTargetBtn').addEventListener('click', () => {
|
| 737 |
+
const x = Math.random() * (canvas.width - 100) + 50;
|
| 738 |
+
const y = Math.random() * (canvas.height - 100) + 50;
|
| 739 |
+
targets.push(new Target(x, y));
|
| 740 |
+
});
|
| 741 |
+
|
| 742 |
+
document.getElementById('clearBtn').addEventListener('click', () => {
|
| 743 |
+
obstacles = [];
|
| 744 |
+
targets = [];
|
| 745 |
+
});
|
| 746 |
+
|
| 747 |
+
// Canvas click events
|
| 748 |
+
canvas.addEventListener('click', (e) => {
|
| 749 |
+
const rect = canvas.getBoundingClientRect();
|
| 750 |
+
const x = e.clientX - rect.left;
|
| 751 |
+
const y = e.clientY - rect.top;
|
| 752 |
+
|
| 753 |
+
if (e.shiftKey) {
|
| 754 |
+
obstacles.push(new Obstacle(x, y));
|
| 755 |
+
} else {
|
| 756 |
+
targets.push(new Target(x, y));
|
| 757 |
+
}
|
| 758 |
+
});
|
| 759 |
+
|
| 760 |
+
// Slider updates
|
| 761 |
+
document.getElementById('speedSlider').addEventListener('input', (e) => {
|
| 762 |
+
document.getElementById('speedValue').textContent = e.target.value;
|
| 763 |
+
});
|
| 764 |
+
|
| 765 |
+
document.getElementById('sensorRange').addEventListener('input', (e) => {
|
| 766 |
+
document.getElementById('sensorValue').textContent = e.target.value;
|
| 767 |
+
});
|
| 768 |
+
|
| 769 |
+
// Initialize on load
|
| 770 |
+
initSimulation();
|
| 771 |
+
</script>
|
| 772 |
+
</body>
|
| 773 |
+
</html>
|