Research on Sensor Optimization Technology of Driverless Vehicle

Abstract

Driverless cars in operation, the perception of the surrounding environment demand is very rich, it is a kind of automatic detection of road information, detection of obstacles, calculation of obstacle location, speed and other functions, but due to the limitations of technology and detection means, the perception data of self-driving cars is not accurate enough, prone to safety accidents. Therefore, the optimization of various sensors can greatly improve the safety performance of unmanned vehicles, thereby greatly promoting the development of unmanned technology. Environmental perception technology is one of the core technologies of unmanned cars, environmental perception information comprehensiveness and accuracy is the guarantee of safe driving of unmanned cars, this paper elaborates on image recognition, sensor layout, sensor perception range and accuracy, sensor anti-interference ability and rapid processing of sensor massive data in environmental perception technology.