Open-source Autonomous Driving Vehicle Training and Development Platform
This equipment is based on automotive-grade environmental perception sensors, autonomous driving computing platforms, and drive-by-wire chassis systems, combined with a vehicle training platform for e
Product Overview
This equipment is based on automotive-grade environmental perception sensors, autonomous driving computing platforms, and drive-by-wire chassis systems, combined with a vehicle training platform for educational design. The equipment can be used to demonstrate environmental perception data collection, multi-sensor fusion positioning, drive-by-wire chassis execution control, path planning and autonomous driving operation, vehicle status monitoring, and human-machine interaction. It meets the teaching needs for vehicle structure cognition, system assembly and debugging, sensor layout and calibration, data analysis and functional testing, system integration, and operational verification. It is suitable for vocational colleges, technical schools, and intelligent connected vehicle training bases to conduct autonomous driving-related course teaching and training.
Core Advantages
Real Components and System Display
Integrates automotive-grade LiDAR, cameras, ultrasonic radars, integrated navigation systems, autonomous driving computing platforms, and drive-by-wire chassis systems to showcase the real composition and operational architecture of autonomous driving vehicle systems.
System Structure and Installation Position Cognition
Demonstrates the installation layout of various types of sensors on the vehicle, including the placement and functional correspondence of LiDAR, cameras, ultrasonic radars, and integrated navigation systems, to understand the structural design logic of autonomous driving systems.
Data Collection and Visualization
Real-time display of environmental perception data, vehicle status information, positioning information, and multi-sensor operational data through an in-vehicle Android interactive screen and external display system, enabling data visualization for teaching demonstrations.
Installation, Calibration, and Debugging
Supports sensor installation debugging and integrated navigation system configuration operations, providing training for adjusting the installation positions of LiDAR and cameras and basic calibration.
Perception Function Testing
Supports testing of perception functions such as obstacle detection, vehicle and pedestrian recognition, traffic cone recognition, and environmental target detection, verifying the environmental perception capabilities of multi-sensors.
Multi-Sensor Fusion
Fuses data from LiDAR, cameras, ultrasonic radars, and integrated navigation systems to achieve environmental modeling, target recognition, and vehicle positioning information fusion processing.
Drive-by-Wire Chassis Control
Based on the drive-by-wire chassis system, demonstrates the processes of steering, braking, and driving control, and supports four-wheel steering and path tracking operation verification.
Safety Protection and Stable Operation
Supports remote control driving, manual takeover, and remote monitoring modes, with real-time vehicle status monitoring and operational management functions to ensure the safe operation of outdoor autonomous driving training.
Digital Interaction and Assessment
Equipped with a teaching display screen and human-machine interaction system, supporting multimedia content publishing, vehicle status display, and teaching auxiliary demonstration functions.
Teaching Content & Training Projects
Hands-on training covering the following topics:
- Lidar Structure Cognition
- Vision Sensor Structure Cognition
- Integrated Navigation System Structure Cognition
- Lidar Installation and Calibration
- Camera Installation and Calibration
- Integrated Navigation System Installation and Configuration
- Point Cloud Data Collection and Analysis
- Image Data Collection and Target Recognition
- Position and Attitude Data Analysis
- Obstacle Detection Testing
- Path Tracking Function Testing
- Multi-Sensor Fusion Joint Debugging
Technical Specifications
| Parameter | Value |
|---|---|
| External Dimensions | Length 1800-2000mm; Width 900-1000mm; Height ≥1900mm |
| Vehicle Weight | ≤500kg |
| Input Power Supply | AC 220V 50Hz (external equipment power supply) |
| Computing Platform Performance | Computing power 200 TOPS; CPU frequency 2.2GHz; 8 GMSL2 interfaces; 4 Ethernet interfaces; IP65 protection level |
| Navigation positioning accuracy | ±2cm (2σ) |
| Integrated navigation startup time | ≤35s |
| Display system | 10.1-inch Android touch screen; two 43-inch HD displays (1080P, brightness ≥3500nits) |
| Vehicle steering capability | Minimum turning radius ≤2m; supports four-wheel steering |
| Climbing capability | ≥20% |
| Wheel specifications | Rim size ≥12 inches |
| LiDAR | 16-line LiDAR; horizontal 360°; horizontal resolution ≥0.18°@10Hz; vertical field of view 30°; vertical resolution ≥2° |
| Single-line LiDAR | 2 units; field of view 120°; resolution ≥0.12° |
| Vision cameras | 2MP HD cameras ×2; field of view 120°; 2MP fisheye cameras ×2; field of view 180° |
| Ultrasonic radar | 14 units |
| Integrated navigation system | Positioning accuracy ±2cm (2σ); startup time ≤35s |
What's Included
- ✓ 16-line LiDAR
- ✓ Single-line LiDAR ×2
- ✓ HD cameras ×2
- ✓ Fisheye cameras ×2
- ✓ Ultrasonic radar ×14
- ✓ Integrated navigation system
- ✓ Drive-by-wire chassis system
- ✓ Autonomous Driving High-Performance Computing Platform
- ✓ 10.1-inch Android Touchscreen
- ✓ 43-inch HD Display ×2
- ✓ Wireless Keyboard and Mouse Kit
- ✓ Front Dot-Matrix LED Status Display
- ✓ Industrial-Grade 4G Router
- ✓ Ethernet Communication Interface Module
- ✓ GMSL2 Interface System
- ✓ Autonomous Driving Vehicle Platform Chassis
- ✓ Fiberglass Vehicle Body Structure (Detachable Modules ≥10)
- ✓ Detachable Roof Structure
- ✓ Vehicle Cooling Structure and Fan System
Product Category
Automotive teaching equipment — suitable for vocational colleges, technical schools, and automotive training institutions.
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