Advantages and Challenges in BEV Algorithm Technology for Autonomous Vehicles from Environment Sensing

With the continuous development of China's artificial intelligence and computer vision field, the field of unmanned vehicles in the field of research has gradually become a research hotspot in the field of artificial intelligence, and nowadays, unmanned vehicles in our lives from "unattainable" to "within reach! Nowadays, driverless cars have changed from "out of reach" to "within reach" in our lives. The core of unmanned autonomous driving mainly relies on high - precision maps and sensors and other technologies, of which the BEV algorithm (i.e., Bird's Eye View) provides a variety of technical routes. In this paper, we will focus on analysing the advantages and challenges brought by the three models in BEV algorithm to the automatic driving technology, and make an outlook on its future development.