Keywords
Autonomous driving
Robot navigation
Environmental monitoring
Submitted : 2025-09-15
Accepted : 2025-09-30
Published : 2025-10-15
Abstract
Since its inception in the 1960s, light detection and ranging (LiDAR) technology has demonstrated great potential in various fields such as autonomous driving, robot navigation, and environmental monitoring due to its high precision, high resolution, and strong anti-interference capability. This paper reviews the development history, technical principles, application fields, and future development trends of LiDAR technology. It introduces the technical applications of LiDAR technology in autonomous driving, robot navigation, and environmental monitoring, and explores the development direction of SLAM algorithms in multi-sensor fusion and real-time map construction, providing a reference basis for the development and research of LiDAR.
References
Shi Z, 2021, Research on Autonomous Navigation of Mobile Robot Based on Fusion of LiDAR and Binocular Vision, Master’s thesis, Nanjing University of Science and Technology.
Li X, Guo P, Zang C, et al., 2019, Research Status and Application of LiDAR Technology. Automotive Electric Appliance, (05): 4–6.
Ma Z, 2022, Research and Design of TOF Readout Circuit for Single-Photon LiDAR Based on DLL-TDC, Master’s thesis, Nanjing University of Posts and Telecommunications.
Zhao J, Zhao Y, Tong J, et al., 2021, A Design of Multi-Channel Time-to-Digital Converter for TOF LiDAR. Semiconductor Optoelectronics, 42(03): 342–347.
Anon., 2023, Chinese Scientists Have Overcome the Worldwide Challenges of Anti-Interference and High-Precision Parallel Detection for LiDAR. Electronic Quality, (03): 113.
Li J, 2018, Study on the Modeling and Processing Algorithm of the Full Waveform of Pulsed Lidar, Master’s thesis, Tianjin University.
Chen Y, 2021, Research on FMCW Lidar Ranging and Velocity Signal Processing Algorithm, Master’s thesis, Harbin Institute of Technology.
Zhang S, Huang K, Gan L, et al., 2025, Research on Mapping Method Based on Autonomous Driving SLAM Technology. Special Purpose Vehicle, (02): 41–43.
Yu R, 2023, Research on SLAM Algorithm Based on LiDAR, Master’s thesis, Jilin University.
Yin S, 2023, Research on Dynamic Obstacle Avoidance Algorithm Based on LiDAR, Master’s thesis, Hebei University of Architecture and Engineering.
Li W, 2019, Strategy of Intelligent Vehicle Path Following and Obstacle Avoidance Based on GPS and LiDAR, Master’s thesis, Shandong University of Technology.
Tang J, 2021, Research on Detection of 3D LiDAR by Using a Multi-Model Fusion Method under Challenging Conditions, Master’s thesis, Hunan University.
Guo Z, 2021, Development of SLAM and Dynamic Obstacle Avoidance Robot Based on LiDAR, Master’s thesis, Heilongjiang University.
Liu C, 2020, Research and Implementation of Robot Localization and Navigation Algorithm Based on SLAM, Master’s thesis, Beijing University of Posts and Telecommunications.
Guo X, 2022, Research on SLAM Map Construction Algorithm Based on LiDAR, Master’s thesis, Shenyang University of Technology.
Liu Y, 2022, Application of LiDAR in Atmospheric Environment Monitoring and Meteorological Research. Cleaning World, 38(02): 67–68.
Zhang Q, 2020, Application of LiDAR in Atmospheric Environment Monitoring and Meteorological Research. Science and Technology Information, 18(05): 19–20.