A stadium intelligent miniature vehicle teaching device

Abstract

The invention provides a stadium intelligent microscopic vehicle teaching device. According to the stadium intelligent microscopic vehicle teaching device, a vehicle body serves as a carrier, a vision sensor, a GPS and a laser radar are used for information collection and location, a power and steering driving system is used for performing the decision of a master processor, a feed-back system is used for feeding back current velocity information to a master controller, a man-machine interactive system is used for real-time online monitoring and managing current running status, a battery pack supplies power source, a communication device is used for monitoring and remotely managing the master controller, an emergency switch is used for emergency braking and stopping, the master processor is used for information fusion, scenario analysis and image processing and deciding and controlling the steering and power driving system, and meanwhile, an external emergency stopping instruction is prior received. The stadium intelligent microscopic vehicle teaching device is beneficial to teaching discussion study of unmanned vehicle technology, meanwhile, the national popularization of quality-oriented sport robot movement is facilitated, and the fusion of teaching and the quality-oriented sport is achieved.

Description

technical field [0001] The invention relates to a wheeled mobile robot device, in particular to a stadium 1:5 intelligent miniature vehicle teaching device with the function of scene analysis and autonomous driving. Background technique [0002] In the information age, with the rapid development of the automobile industry, intelligent driving will be an important development direction and trend of future automobiles. In order to promote the development of unmanned vehicles, domestic and foreign researches are mainly focused on unmanned vehicles in real road environment and small miniature vehicles on indoor miniature roads. Overseas, DARPA, the U.S. Defense Advanced Research Projects Agency, has organized several unmanned vehicle super challenges, and the National Natural Science Foundation of China has hosted the China Smart Vehicle Future Challenge every year since 2009. [0003] Research on autonomous driving based on the real road environment is still facing many diffic...

AI Technical Summary

Problems solved by technology

However, this invention is mainly applicable to the indoor environment, completely separated from the more complicated real environment outside, and cannot analyze the current real scene, such as the sky, the ground surface, etc., and at the same time, lacks many disturbances in the real environment, such as natural light and shadows, etc. There is still a large gap with the real environment, which is not conducive to the research and teaching of real vehicle autonomous driving behavior and environmental processing

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