Investigation of angular resolution requirements for LiDAR systems

Abstract

LiDAR technology plays a vital role in various applications, including autonomous driving, environmental monitoring, and robotics. Accurate target detection is a crucial task in LiDAR systems to ensure the precise identification of objects and obstacles. However, the absence of clear standards for LiDAR system design parameters poses challenges in determining the optical system configurations. This paper focuses on a procedure that determines the necessary resolutions in LiDAR systems, with a specific emphasis on target detection algorithms. The investigation methodology encompassed the steps involved in scenario generation, capturing LiDAR point cloud data, and evaluating the obtained LiDAR data. Multiple widely-used algorithms are selected to represent diverse approaches to object detection. The paper concludes by summarizing the derived angular resolution requirements for each algorithm. By incorporating these findings, developers can optimize LiDAR system configurations to meet the specific demands of their application domains, ultimately enhancing the performance and reliability of LiDAR applications.