|
|
--- |
|
|
license: mit |
|
|
task_categories: |
|
|
- robotics |
|
|
- reinforcement-learning |
|
|
- tabular-regression |
|
|
tags: |
|
|
- drone |
|
|
- slam |
|
|
- physics |
|
|
- art |
|
|
- telemetry |
|
|
- obstacle-avoidance |
|
|
- synthetic |
|
|
- robotics |
|
|
--- |
|
|
|
|
|
[](https://webxos.netlify.app) |
|
|
[](https://github.com/webxos/webxos) |
|
|
[](https://huggingface.co/webxos) |
|
|
[](https://x.com/webxos) |
|
|
|
|
|
<div style=" |
|
|
background: #00FF00; |
|
|
border-left: 4px solid #00FF00; |
|
|
padding: 1.5rem; |
|
|
margin: 2rem 0; |
|
|
font-family: 'Fira Code', 'Courier New', monospace; |
|
|
color: #00FF00; |
|
|
border-radius: 0 8px 8px 0; |
|
|
"> |
|
|
<pre style=" |
|
|
font-size: 8px; |
|
|
line-height: 1.2; |
|
|
margin: 0; |
|
|
overflow-x: auto; |
|
|
color: #00FF00; |
|
|
"> |
|
|
_ _ __ _ _ ____ ____ ____ _ _ ____ ____ ____ |
|
|
( \/\/ ) /__\( \/ )( ___)( _ \( ___)( \( )( _ \( ___)( _ \ |
|
|
) ( /(__)\\ / )__) ) _ < )__) ) ( )(_) ))__) ) / |
|
|
(__/\__)(__)(__)\/ (____)(____/(____)(_)\_)(____/(____)(_)\_) |
|
|
|
|
|
</div> |
|
|
|
|
|
# V2 |
|
|
|
|
|
*UNDER DEVELOPMENT* |
|
|
|
|
|
*This dataset was generated using the WAVEBENDER app by webXOS* |
|
|
|
|
|
LINK: https://huggingface.co/datasets/webxos/wavebender_dataset/tree/main/generator |
|
|
(Download this app to create your own similar datasets) |
|
|
|
|
|
Generated synthetic dataset for drone autonomy ML training, including telemetry signals |
|
|
(acceleration, gyro, altitude, velocity, battery, GPS), SLAM (obstacle detection/mapping), |
|
|
and avoidance maneuvers in simulated 3D environments with configurable parameters (complexity, |
|
|
noise, frequency, dynamic obstacles). Synthetic drone datasets are generally used to overcome |
|
|
real-world data limitations for unmanned aerial vehicles (UAVs). |
|
|
|
|
|
## Key Features |
|
|
|
|
|
- Realistic 3D simulated environments |
|
|
- Configurable parameters: scene complexity, sensor noise, update frequency, dynamic/moving obstacles |
|
|
- Multi-modal data: raw telemetry + processed SLAM + maneuver labels |
|
|
|
|
|
## Included Signals |
|
|
|
|
|
- **Telemetry** |
|
|
- Acceleration (3-axis) |
|
|
- Gyroscope (3-axis) |
|
|
- Altitude (barometric / fusion) |
|
|
- Velocity vector |
|
|
- Battery level / voltage |
|
|
- GPS position & velocity |
|
|
|
|
|
- **SLAM / Perception** |
|
|
- Obstacle detection & mapping output |
|
|
- Distance to nearest obstacles |
|
|
|
|
|
- **Labels / Actions** |
|
|
- Avoidance maneuver executed (direction, type, intensity) |
|
|
|
|
|
## Status |
|
|
|
|
|
Under active development — v2 expands variety, realism, and annotation quality over v1 (link below) |
|
|
https://huggingface.co/datasets/webxos/wavebender_dataset |