Intelligent Connected Passenger Vehicle (Wuling Mini) Basic Training Development Platform
This equipment is based on the mass-produced Wuling Mini passenger vehicle, modified for intelligent connectivity and drive-by-wire functionality. It integrates a drive-by-wire chassis system and an a
Product Overview
This equipment is based on the mass-produced Wuling Mini passenger vehicle, modified for intelligent connectivity and drive-by-wire functionality. It integrates a drive-by-wire chassis system and an autonomous driving system, forming a practical training platform for intelligent connected vehicles that can be used for teaching and skill training. Built on a real vehicle platform, it can demonstrate core operational processes such as environmental perception, data collection, path planning, and vehicle control. It supports students in conducting practical training tasks such as understanding the structure of intelligent connected vehicle systems, sensor installation and debugging, data analysis, and system integration. It is suitable for vocational schools, technical schools, and intelligent connected vehicle training bases for related course teaching and skill assessments.
Core Advantages
Real Components and System Display
Modified based on a mass-produced passenger vehicle chassis, it integrates a drive-by-wire chassis system and an autonomous driving system, showcasing the composition and coordination of the power execution and control systems of an intelligent connected vehicle.
System Structure and Installation Position Recognition
Integrated with multi-source sensors such as cameras, LiDAR, millimeter-wave radar, and ultrasonic radar, it can be used to recognize the placement of vehicle sensors and their functional roles in the environmental perception system.
Data Collection and Visualization
Sensor data is processed through the autonomous driving computing platform, enabling the collection and output of images, point clouds, and target information, which can be used for visual analysis of environmental perception data.
Installation, Calibration, and Debugging
Supports training in the installation, debugging, and calibration of sensors such as cameras, LiDAR, and millimeter-wave radar, as well as parameter configuration for integrated positioning and perception systems.
Perception Function Testing
Based on multi-source sensor data, it enables testing of obstacle detection and environmental recognition functions, including target identification, distance measurement, and dynamic target perception verification.
Multi-Sensor Fusion
Fuses data from cameras, LiDAR, millimeter-wave radar, and ultrasonic radar to achieve multi-source perception information integration and environmental modeling analysis.
Algorithm Verification and Secondary Development
Supports perception and path planning algorithm verification based on the autonomous driving computing platform, enabling training in target detection, path planning, and control strategy optimization.
Drive-by-Wire Chassis Control
Achieves vehicle driving, steering, and braking control through the drive-by-wire system, and supports vehicle status information collection and execution feedback analysis.
Fault Setting and Diagnosis
Supports training in the analysis of operational anomalies and troubleshooting of autonomous driving systems and drive-by-wire systems, including learning to diagnose sensor, communication, and control anomalies.
Safety Protection and Stable Operation
Configured with an operational safety management mechanism, it supports emergency stop, manual takeover, speed limitation, and test area operation constraints to ensure the safety and controllability of the training process.
Teaching Content & Training Projects
Hands-on training covering the following topics:
- Camera structure cognition
- LiDAR structure cognition
- Millimeter-wave radar structure cognition
- Camera installation and calibration
- LiDAR installation and calibration
- Millimeter-wave radar installation and debugging
- Point cloud data collection and analysis
- Image data collection and object recognition
- Positioning and posture data analysis
- Autonomous driving function testing
- Obstacle detection function testing
- Multi-sensor fusion system joint debugging
Technical Specifications
| Parameter | Value |
|---|---|
| Dimensions | 2917×1492×1621mm |
| Wheelbase | 1900mm |
| Range | 120km |
| Maximum Speed | 100km/h |
| Drive Type | Rear-engine, rear-wheel drive |
| Braking Type | Front disc, rear drum |
| Computing Platform CPU | 6 cores, 12 threads, base frequency 2.9GHz |
| GPU | 12GB DDR6, 3584 CUDA cores |
| Storage | 500GB SSD |
| LiDAR Line Count | 16 lines |
| LiDAR Detection Range | 70-200m |
| Millimeter-wave Radar Detection Range | 0.2-250m |
| Ultrasonic Radar Distance Measurement Range | 130-5000mm |
| Camera Resolution | 1920×1080 |
| Camera Frame Rate | Up to 50fps |
What's Included
- ✓ Front-view Camera
- ✓ 16-line LiDAR
- ✓ Millimeter-wave Radar
- ✓ Ultrasonic Radar
- ✓ Autonomous Driving Computing Unit
- ✓ Steer-by-wire chassis system
- ✓ Intelligent connected passenger vehicle (Wuling Mini) platform
Product Category
Automotive teaching equipment — suitable for vocational colleges, technical schools, and automotive training institutions.
Get a Quote for Intelligent Connected Passenger Vehicle (Wuling Mini) Basic Training Development Platform
Contact StarBrain for technical specifications, custom configurations, and delivery timeline.