Sensor fusion and tracking for automated driving

Abstract

With the development of science and technology, great changes have happened in all aspects. In recent years, it has become a hot research field of the human travel intelligent driving, artificial intelligence and the innovation of hardware makes the intelligent driving will become the future intelligent way of travel. Enhance driving safety is the key point of the current development of the automotive industry, so all kinds of sensors are growing. Advanced driver assistance systems (ADAS) rapid growth in the automobile market, radar and Lidar sensing elements increasingly urgent demand. Future sensor integration is an important goal of automatic driving development. Through the analysis of ADAS function, in order to ensure the further application of advanced driving assistance system in safety and intelligence, this paper puts forward a solution of information fusion. Through the fusion of multi-sensor information and the processing of data information, the scheme provides a basis for reliable analysis of data information, so as to improve accuracy, reduce false alarm rate and missed detection rate, realize self-examination and self-learning of auxiliary driving system, and achieve the ultimate goal of intelligent driving and safe driving.