Key Features
- Smart Traffic Light Recognition: Radar & camera for pedestrian, vehicle, and signal detection.
- Multi-sensor Learning: Sensor integration with fault diagnosis.
- Sensor Calibration: Analyze & calibrate visual, lidar, IMU data for accuracy.
- Autonomous Driving Simulation Software: Safe virtual testing to optimize algorithms and verify functions.
- Map & Path Planning: Use pose and obstacle data for navigation.
- Extensive Teaching Resources: Learn ROS & Autoware, develop sensor systems, and enhance programming through real-vehicle practice.
Specifications
| Movement Mode | Ackermann front-to-rear wheel drive |
| Dimensions | 1560*890*1541 (L*W*H) (mm) |
| Maximum Speed | 8km/h |
| Self-weight | 200kg |
| Vertical Load | 200kg |
| Maximum gradient | 10% (fully loaded) |
| Navigation Method | 3D SLAM laser navigation, RTK navigation |
| Positioning accuracy | ± 10cm |
| Battery Capacity | 48V 40Ah |
| Control Mode | CAN communication |
| Supported Systems | ROS, Ubuntu |
| Sensors and accessories | 16-line 3D laser radar RTK positioning module Ultrasonic module Millimeter wave radar Infrared array radar (optional) Navigation industrial control computer Monocular camera 15.6-inch display screen ROS high-precision inertial measurement module (IMU-Sealand) Anti-collision bar |
