Overview of Multi-sensor fusion in Autonomous Vehicles
Konferenz: MEMAT 2022 - 2nd International Conference on Mechanical Engineering, Intelligent Manufacturing and Automation Technology
07.01.2022 - 09.01.2022 in Guilin, China
Tagungsband: MEMAT 2022
Seiten: 6Sprache: EnglischTyp: PDF
Autoren:
Zou, Yujie (School of Mechanical and Electrical Engineering, Guilin University of Electronic Technology, Guilin, China)
Liu, Fei; Qu, Jingjing (School of Mechanical and Electrical Engineering, Guilin University of Electronic Technology, Guilin, China & Science and technology department, Guilin University of Aerospace Technology, Guilin, Guangxi, China)
Jing, Hui; Kuang, Bing; Wang, Gang (School of Mechanical and Electrical Engineering, Guilin University of Electronic Technology, Guilin, China & Guangxi Key Laboratory of Manufacturing System & Advanced Manufacturing Technology, Guilin University of Electronic Technology, Guilin, Guangxi, China)
Li, Hang Hang (Science and technology department, Guilin University of Aerospace Technology, Guilin, Guangxi, China)
Inhalt:
In this article, we give a brief overview of sensors and sensor fusion in autonomous vehicles field. We focus on sensor fusion of key sensors in autonomous vehicles: camera, radar and lidar. This article will introduce the latest sensor fusion algorithms developments in this field. The results show that adding more sensors to the sensor fusion system can improve the performance and robustness of the system. In addition, the multi-sensor fusion of GNSS and IMU data are vital for positioning and mapping, which is a solution to the problem of the real-time requirements of automatic driving. Sensor fusion plays a vital role in autonomous driving systems, so it is one of the fastest growing areas in the field of autonomous vehicles.