A Review of LiDAR sensor Technologies for Perception in Automated Driving

Abstract

After more than 20 years of research, ADAS is common in modern vehicles on the market. Automated driving systems have gradually moved from the research stage to public roads for commercial testing. These systems rely on information provided by onboard sensors that describe the state of the vehicle, its environment, and other participants. The selection and placement of sensing sensors are key factors in system design. In order to better understand the principles and functional implementation of sensing sensors, this paper reviews the existing and latest sensing sensor technologies and presents a detailed analysis of the principles, advantages, and disadvantages, as well as common types and performance of LiDAR sensor technologies, and then introduces two proposed solutions to the problem of how to improve the recognition accuracy of LiDAR sensors under the influence of different weather factors by selecting. Finally, this paper briefly introduces several latest LiDAR sensors under research and proposes an innovative multi-sensor fusion solution based on the existing research, and analyzes the feasibility.