Intelligent connected vehicle technology comprehensive test vehicle

Product Overview:

1. Hardware System Integration Line Control Chassis: Utilizes fully electric drive and line control technology, supporting high-precision electronic control of steering, braking, and drive systems. For example, a training vehicle with 850mm wheelbase, 40km range, and 18km/h top speed is equipped with EHB line-controlled hydraulic disc brakes and Ackermann steering system, capable of achieving ±10-degree slope climbing and 200mm obstacle clearance. Another training car with 1300mm wheelbase supports front-wheel drive with rear-wheel drive, 25km/h top speed, and IP56 protection rating, ideal for complex road testing. Multi-Sensor Fusion: -LiDAR: 16-channel TOF lidar with 3cm range accuracy ±, 5-20Hz scanning frequency, generating 320,000-point/second 3D point cloud data for obstacle detection and environmental modeling. -Millimeter-wave Radar: 77GHz band with up to 250m detection range, identifies target speed, angle, and distance, supporting multi-target differentiation (up to ±0.40m at distance and ±0.10m at close range). -Vision System: Dual-camera setup enables 360-degree panoramic viewing, lane line recognition, and infrared/deep imaging. Front-facing camera features 1920×1080 resolution and 50fps frame rate, recognizing traffic signs, traffic lights, and pedestrians. -Integrated Navigation: Combines RTK-GNSS with IMU for centimeter-level positioning (1cm+1ppm in RTK mode) and 0.1-degree attitude accuracy, supporting dynamic path planning and trajectory following.
2. Software and Control Systems Autonomous Driving Algorithm Validation: Supports open-source platforms such as Autoware and Apollo, enabling algorithm development for SLAM mapping, path planning, and decision-making control. For instance, an experimental vehicle achieves L4 autonomous driving through multi-sensor fusion, capable of active obstacle avoidance, station docking, and local path planning. Simulation and Cloud Platform Monitoring: Integrates virtual simulation systems (e. g., CARLA) with cloud management platforms to remotely monitor vehicle status, transmit real-time data, and simulate extreme environments like rain, fog, and electromagnetic interference. Fault Injection and Detection: Utilizes hardware-based online simulation and fault detection modules to simulate scenarios such as sensor failures and communication disruptions, training technicians' troubleshooting capabilities.