WSL Support

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A complete simulation environment for UAV (drone) and UGV (ground vehicle) development using **GPS-denied navigation** with vision-based localization, while maintaining GPS-based geofencing for safety.
## 🎯 Key Feature: GPS-Denied Navigation
## Key Feature: GPS-Denied Navigation
**Navigation Mode**: All vehicles navigate using **relative positioning** only:
- Visual odometry from cameras
- Optical flow sensors
- IMU integration
- Visual landmark tracking
- Local coordinate frames
- Visual odometry from cameras
- Optical flow sensors
- IMU integration
- Visual landmark tracking
- Local coordinate frames
**GPS Usage**: GPS is ONLY used for:
- Geofencing (safety boundaries)
- Initial position reference (optional)
- NOT used for waypoint navigation
- NOT used for position control
- Geofencing (safety boundaries)
- Initial position reference (optional)
- NOT used for waypoint navigation
- NOT used for position control
This simulates real-world GPS-denied environments like:
- Indoor spaces
@@ -26,31 +26,41 @@ This simulates real-world GPS-denied environments like:
## Features
- 🚁 **Iris quadcopter** with dual cameras (forward + downward)
- 🚗 **Ground vehicle (UGV)** with vision sensors
- 📷 **Visual odometry** - camera-based position estimation
- 👁️ **Optical flow** - velocity estimation from downward camera
- 🗺️ **Landmark navigation** - visual feature tracking
- 🛡️ **GPS geofencing** - safety boundaries only
- 🎮 **Single command launch** - everything runs from one script
- 🖥️ **NVIDIA GPU acceleration** support
- 🐍 **Python virtual environment** for isolated dependencies
- 🌍 **GPS-denied worlds** - indoor and urban environments
- **Iris quadcopter** with dual cameras (forward + downward)
- **Ground vehicle (UGV)** with vision sensors
- **Visual odometry** - camera-based position estimation
- **Optical flow** - velocity estimation from downward camera
- **Landmark navigation** - visual feature tracking
- **GPS geofencing** - safety boundaries only
- **Single command launch** - everything runs from one script
- **NVIDIA GPU acceleration** support
- **Python virtual environment** for isolated dependencies
- **GPS-denied worlds** - indoor and urban environments
## System Requirements
- Ubuntu 22.04 LTS
- Python 3.10
- ROS 2 Humble
- **Ubuntu 22.04 LTS** (or 24.04 with ROS 2 Jazzy)
- **Python 3.10+**
- **ROS 2 Humble** (or Jazzy for Ubuntu 24.04)
- 8GB RAM minimum (16GB recommended)
- NVIDIA GPU recommended
### WSL2 Support (Windows)
This project supports **Windows Subsystem for Linux (WSL2)**:
- Windows 10 (21H2+) or Windows 11
- WSL2 with Ubuntu 22.04
- GUI support via WSLg (Windows 11) or VcXsrv (Windows 10)
- See [WSL Setup Guide](docs/wsl_setup_guide.md) for detailed instructions
## Quick Start
### Linux (Native)
```bash
# 1. Clone repository
cd ~/ros2_ws/src
git clone <your-repo-url> uav_ugv_simulation
git clone https://git.sirblob.co/SirBlob/simulation.git uav_ugv_simulation
cd uav_ugv_simulation
# 2. Run setup (installs everything)
@@ -64,6 +74,30 @@ source activate_venv.sh
bash scripts/run_simulation.sh
```
### WSL2 (Windows)
```bash
# 1. Clone repository
cd ~
git clone https://git.sirblob.co/SirBlob/simulation.git uav_ugv_simulation
cd uav_ugv_simulation
# 2. Run WSL-specific setup
bash scripts/setup_wsl.sh
# 3. Restart terminal
exit
# Reopen WSL terminal
# 4. Run simulation
cd ~/uav_ugv_simulation
source activate_venv.sh
bash scripts/run_simulation.sh
# If graphics are slow, use software rendering:
bash scripts/run_simulation.sh --software-render
```
## GPS-Denied Navigation Architecture
```
@@ -178,7 +212,8 @@ mission_waypoints = [
## Documentation
- [Setup Guide](docs/setup_guide.md)
- [Setup Guide](docs/setup_guide.md) - Linux installation
- [WSL Setup Guide](docs/wsl_setup_guide.md) - Windows WSL2 installation
- [Usage Guide](docs/usage.md)
- [Architecture Overview](docs/architecture.md)
- [GPS-Denied Navigation](docs/gps_denied_navigation.md)
@@ -191,7 +226,7 @@ mission_waypoints = [
| Position Source | GPS satellites | Visual odometry + sensors |
| Waypoint Type | GPS coordinates | Relative coordinates (x,y,z) |
| Reference Frame | Global (lat/lon) | Local (relative to start) |
| Indoor Capability | No | Yes |
| Indoor Capability | No | Yes |
| Drift | Minimal | Accumulates over time |
| Geofencing | GPS-based | GPS-based (safety only) |
| Use Cases | Outdoor, open sky | Indoor, urban, GPS-jammed |