AI Vision Autonomous Driving Sandbox Map Tracking Unmanned Robot Car Model Training 2m*1.5m with Traffic Light Accessories

Designed for autonomous driving, suitable for visual model training and smart car autonomous driving scenarios.; Supports two line patrol modes, using K210 visual module to achieve visual line patrol, and can also be used with infrared sensors to achieve infrared line patrol function. Yahboom's Tinybit Pro and Raspbot are both applicable.; High-quality material, using PVC (polyvinyl chloride) material, UV printing process, with durability, waterproof and easy to clean characteristics. The surface is covered with a layer of frosted matte film, which can play a protective role and extend the service life of the map sandbox.

2M* 1.5M, light material, easy to carry; Gameplay display, supports small robot cars with a body width of no more than 20cm, and the list comes with traffic lights and various traffic signs. The car can realize steering, honking, traffic light recognition, and line patrol functions.; Application of a variety of scenarios, the map can be used in school training competition projects, robot laboratories, etc., and is suitable for a variety of models, whether you are Microbit, raspberry pi, jetson master robot, or virtual machine version, can be used with this autonomous driving sandbox