#pragma once #include "types.hpp" #include #include #include namespace madrona_gpudrive { namespace rasterizer { // Convert ego-relative position (meters) to grid coordinates inline std::pair toGridCoords( const madrona::math::Vector2 &rel_pos, float radius, int resolution) { float scale_m = resolution / (2 * radius); int x_grid = static_cast((rel_pos.x + radius) * scale_m); int y_grid = static_cast((rel_pos.y + radius) * scale_m); return { std::min(std::max(0, x_grid), resolution - 1), std::min(std::max(0, y_grid), resolution - 1) }; } // Rasterize rectangle into grid inline void rasterizeRotatedRectangle( BevObservations &grid, const madrona::math::Vector2 ¢er, float yaw, float length, float width, size_t type, float radius, int resolution) { float half_w = width / 2.0f; float half_l = length / 2.0f; float scale_px = (2 * radius) / resolution; auto [gx, gy] = toGridCoords(center, radius, resolution); // Sub-optimal method which finds maximum bounding box of object float max_side = std::max(half_w, half_l); int box_radius = static_cast(std::ceil( std::sqrt(2 * (max_side * max_side)) / scale_px)); float cos_yaw = std::cos(-yaw); float sin_yaw = std::sin(-yaw); for (int dy = -box_radius; dy <= box_radius; dy++) { for (int dx = -box_radius; dx <= box_radius; dx++) { int x = gx + dx; int y = gy + dy; if (x < 0 || x >= resolution || y < 0 || y >= resolution) continue; float px = x * scale_px - radius; float py = y * scale_px - radius; float local_dx = px - center.x; float local_dy = py - center.y; float local_x = local_dx * cos_yaw - local_dy * sin_yaw; float local_y = local_dx * sin_yaw + local_dy * cos_yaw; constexpr float epsilon = 1e-3f; if (std::abs(local_x) <= half_l + epsilon && std::abs(local_y) <= half_w + epsilon) { grid.obs[y][x].type = type; } } } } } }