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L4 low-speed autonomous driving teaching and training platform

Minimum Order :         1 Set
Warranty:                      2 years
Delivery:                        EXW Guangzhou
Shipping Way:              By Sea / Air / Express
Certification:                ISO / GPSR / Copyrights / Patents...
OEM Service:               Accept OEM Accept ODM
Customization:            Logo / Size / Appearance / Material...
Technical Support:     Software / Manual / Video / Technician

  • Overview
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Product Overview:

The ROS Intelligent Vehicle integrates a highly realistic drive-by-wire chassis structure and uses proportionally scaled components to simulate autonomous vehicles, including but not limited to cameras, ultrasonic radar, lidar, GPS, indoor communication networks, encoders, and inertial navigation. Based on this training platform, students can learn to assemble and understand the components of an autonomous vehicle, implement the functions of intelligent sensors, and operate the autonomous driving system.

Features:

1. Enables intelligent driving functions, including human-machine interaction, sensing, drive-by-wire control, and execution. It has interfaces for map acquisition, line tracking, and obstacle detection, and provides real-time data.

2. Enables automatic driving, automatic parking, obstacle avoidance, cornering, turning, and U-turns.

3. Enables autonomous localization and navigation using laser SLAM, allowing for autonomous driving in closed environments.

Training Projects:

Single-line LiDAR Training:
1. Single-line LiDAR driver installation and compilation
2. Single-line LiDAR parameter configuration
3. Single-line LiDAR point cloud visualization
4. Single-line LiDAR SLAM mapping
5. Single-line LiDAR autonomous navigation

Monocular Camera Training:
1. Monocular camera driver installation and compilation
2. Monocular camera parameter configuration
3. Monocular camera calibration
4. Monocular camera lane line detection and recognition
5. Monocular camera lane following

Depth Camera Training:
1. Depth camera driver installation and compilation
2. Depth camera parameter configuration
3. Depth camera map building

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