Safety people-vehicle-road three-in-one method for unmanned vehicle

Abstract

Unmanned vehicles are the most important application at present, but numerous problems still exist in the commercialization process, and the idea that traditional manned vehicles are changed into theunmanned vehicles simply relying on the artificial intelligence mode is defective. According to a safety people-vehicle-road three-in-one method for an unmanned vehicle, the usual design idea of the traditional vehicles is abandoned, and the unmanned vehicle is redesigned, specifically, front and rear windshields are removed, a seat cabin is completely independent for safety strengthening, vacuumsuction cups are ejected for shortening the braking distance, an intelligent buffer ring is arranged on the periphery of the vehicle, and a safety air bag is arranged outside the original front windshield to form a lotus-type protective cushion to protect collided people and objects; meanwhile, people and roads are comprehensively considered together as a whole; and the surface of a lane is coatedwith magnetic strips and passive radio frequency card chips with information to assist in accurate positioning, and an automatic people walking door is arranged when necessary. The safety of the unmanned vehicle can be greatly enhanced, the commercialization process of the unmanned vehicle is greatly improved, and numerous benefits are brought to the traditional vehicles.

Description

technical field [0001] The invention relates to the fields of automation control and robotics, and is a systematic method for improving the safety factor of unmanned vehicles, that is, by comprehensively considering the three most important elements involved in unmanned vehicles: people, vehicles, and roads, a A systematic method for unmanned vehicles is the three-in-one safety method of human, vehicle and road. This method can greatly improve the driving safety factor of unmanned vehicles and accelerate the commercialization of unmanned vehicles. Background technique [0002] With the increasing maturity of artificial intelligence and the rapid development of sensing technology, the world has begun to prepare for the era of unmanned vehicles; at present, major Internet companies and automobile manufacturers have entered the research boom of unmanned vehicles; The big technology route is: Automobile manufacturers tend to assist driving; Internet companies such as GOOGLE,...

AI Technical Summary

Problems solved by technology

[0002] With the increasing maturity of artificial intelligence and the rapid development of sensing technology, the world has begun to prepare for the era of unmanned vehicles; at present, major Internet companies and automobile manufacturers have entered the research boom of unmanned vehicles; The big technology route is: Automobile manufacturers tend to assist driving; Internet companies such as GOOGLE, UBER, etc. adopt fully automatic driverless technology routes, but the two major technology routes have not jumped out of the design concept of traditional cars; they will have a major impact on society The most important thing is fully automatic unmanned driving. At present, in many years of experiments on fully automatic unmanned driving, because various situations cannot be exhaustive, traffic accidents always occur occasionally. Every occasional traffic accident will delay the completion of fully automatic unmanned driving. The commercialization process of human driving, so people are generally skeptical about the real large-scale commercial use of fully automatic driverless cars, and it is generally believed that it will be difficult to achieve within ten years; driverless cars must first solve the positioning problem, Differential Global Positioning System (DGPS) ), because of the use of ground reference stations, the accuracy of this system has been reduced to 1 meter, but the accuracy is still not enough and it will also be interfered, for example, GPS will be affected by the strength of satellite signals, and the camera will not work well in rainy days Good, Volvo engineers install rows of cylindrical magnets (40x15mm) at a depth of 20cm below the road surface, and at the same time install a magnetic field sensor on the vehicle, and then with the help of the magnetic field sensor, the vehicle can follow the "covered" magnets. Driving on the road greatly reduces the computing load of the CPU of the self-driving car, but there are still problems of difficult construction and less information; the existing commercial implementation methods of the self-driving car are basically traditional ideas, that is, copying the traditional car. There are no breakthrough innovations in shape, structure, driving environment, etc.; China's road conditions are more complex than those in the United States. Under the same artificial intelligence technology, driverless cars require a longer commercialization time in China, so more special design optimization is required

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