Paper
13 March 2024 Investigation of angular resolution requirements for LiDAR systems
Author Affiliations +
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.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Zhuoqun Dai, Max Caspar Sundermeier, Tobias Glück, Rayen Hamlaoui, Atefeh Gooran Orimi, Tobias Biermann, Lukas Hanisch, Jiatai Feng, and Roland Lachmayer "Investigation of angular resolution requirements for LiDAR systems", Proc. SPIE 12906, Light-Emitting Devices, Materials, and Applications XXVIII, 129060P (13 March 2024); https://doi.org/10.1117/12.3001526
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KEYWORDS
LIDAR

Spatial resolution

Detection and tracking algorithms

Environmental monitoring

Object detection

Point clouds

Reliability

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