Intelligent Connected Passenger Vehicle (GAC AION LX) Advanced Training Development Platform
This equipment is an intelligent connected vehicle teaching platform modified from the mass-produced GAC AION LX intelligent connected passenger vehicle. It is designed for teaching purposes based on
Product Overview
This equipment is an intelligent connected vehicle teaching platform modified from the mass-produced GAC AION LX intelligent connected passenger vehicle. It is designed for teaching purposes based on the core foundations of the drive-by-wire chassis system and autonomous driving system, combined with high-precision positioning and multi-sensor fusion architecture. The equipment is used to demonstrate the system composition and workflow of intelligent connected vehicles in key areas such as environmental perception, positioning and mapping, decision-making and planning, and execution control. It supports students in conducting practical training in autonomous driving system structure cognition, system debugging, and data analysis. It is suitable for vocational colleges, technical schools, and intelligent connected vehicle training bases to carry out comprehensive vehicle-level training and teaching.
Core Advantages
Real Components and System Display
Based on a mass-produced intelligent connected vehicle platform, it integrates the drive-by-wire chassis system, autonomous driving system, high-precision positioning system, and various sensors and control systems to demonstrate the composition and collaborative relationships of vehicle-level intelligent driving systems.
System Structure and Installation Position Cognition
It can display the installation positions and functional distribution relationships of LiDAR, millimeter-wave radar, forward-facing cameras and surround-view cameras, ultrasonic radar, and GNSS/IMU integrated positioning systems on the vehicle.
Data Collection and Visualization
Through the autonomous driving system computing unit, sensor data can be collected and processed, enabling real-time output and analysis of point clouds, images, radar target information, and positioning data.
Installation, Calibration, and Debugging
Supports installation, debugging, and calibration operations of multi-sensor systems, including LiDAR calibration, camera calibration, and GNSS/IMU integrated positioning system configuration and debugging training.
Perception Function Testing
Supports testing of environmental perception functions such as obstacle recognition, lane line recognition, and target detection, to verify the recognition and response capabilities of multi-sensor perception systems.
Multi-Sensor Fusion
Fuses data from LiDAR, millimeter-wave radar, cameras, and integrated positioning systems to achieve training in environmental modeling, target recognition, and positioning information fusion processing.
Drive-by-Wire Chassis Control
Based on the drive-by-wire chassis system, it enables data collection and feedback analysis of vehicle driving and braking control. It can read information such as vehicle speed, braking, and power output status, achieving execution system linkage training.
Fault Setting and Diagnosis
Supports training in detecting and diagnosing typical faults such as sensor anomalies, communication anomalies, and execution system anomalies, to cultivate system fault analysis and troubleshooting capabilities.
Safety Protection and Stable Operation
The vehicle training process supports speed-limited operation, manual takeover, and emergency stop control mechanisms, and sets operational boundaries for the test site to ensure training safety.
Teaching Content & Training Projects
Hands-on training covering the following topics:
- Lidar Structure Cognition
- Millimeter-Wave Radar Structure Cognition
- Vision Sensor Structure Cognition
- Lidar Installation and Calibration
- Camera Installation and Calibration
- GNSS/IMU Installation and Configuration
- Point Cloud Data Collection and Analysis
- Image Data Collection and Target Recognition
- Positioning Data Analysis
- Multi-Sensor Fusion System Joint Debugging
- Drive-by-Wire Chassis System Joint Debugging
- Autonomous Driving Vehicle System Joint Debugging
Technical Specifications
| Parameter | Value |
|---|---|
| Maximum Speed | 100km/h |
| Range Capability | ≥120km |
| Drive Motor Power | 150kW |
| Braking Deceleration | 0.5g |
| Computing Unit | 6-core 12-thread CPU, 12GB video memory, 500GB solid-state drive |
| LiDAR | 80 lines, detection range 70m-200m |
| Millimeter-wave Radar | Detection range 0.2m-250m |
| Ultrasonic Radar | Measuring range 130mm-5000mm |
| Camera Resolution | 1920×1536, supports YUV422 output |
| Integrated Positioning System | Supports RTK, GNSS, IMU integrated positioning |
What's Included
- ✓ LiDAR System
- ✓ Millimeter-wave Radar System
- ✓ Surround-view Camera System
- ✓ Forward-view Camera System
- ✓ Ultrasonic Radar System
- ✓ GNSS/IMU Integrated Positioning System
- ✓ Autonomous Driving Computing Unit
- ✓ Wire-controlled Chassis Control System
- ✓ Intelligent Connected Passenger Vehicle Platform (GAC AION LX)
Product Category
Automotive teaching equipment — suitable for vocational colleges, technical schools, and automotive training institutions.
Get a Quote for Intelligent Connected Passenger Vehicle (GAC AION LX) Advanced Training Development Platform
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