Feasibility of ultra-long range detection by the time-of-flight LiDAR

Xiandong Leng; Randy Li; Zach Wu; Alex Tseng; Jia Ge; Peng Wan; Yimin Li

doi:10.1117/12.2666020

13 June 2023 Feasibility of ultra-long range detection by the time-of-flight LiDAR

Xiandong Leng, Randy Li, Zach Wu, Alex Tseng, Jia Ge, Peng Wan, Yimin Li

Proceedings Volume 12540, Autonomous Systems: Sensors, Processing, and Security for Ground, Air, Sea, and Space Vehicles and Infrastructure 2023; 1254007 (2023) https://doi.org/10.1117/12.2666020
Event: SPIE Defense + Commercial Sensing, 2023, Orlando, Florida, United States

Abstract

Time-of-flight LiDAR scenario of road in real time and provide high quality 3-D point cloud with reliable ranging information to assist autonomous driving. In general, limited by speed of light and point cloud density, there is a tradeoff between detection range and the angular resolution. Another challenge is the difficulty to detect weak signals reflected from ultra-long distance targets. Increasing transmission laser power is hard to be a proper solution due to eye safety. In this paper, we demonstrate feasibility of detecting targets at ultra-long distance using a time-of-flight LiDAR with decent point density. At the meanwhile, the transmission laser power at wavelength of 1550 nm is well within eye safety standards. Results show that pedestrian can be detected in a range of 500 m, small vehicle is detected at 900 m with framerate of five and 1000 m with framerate of two. Truck is detectable at a distance up to 1300 m.

Conference Presentation

Citation Download Citation

Xiandong Leng, Randy Li, Zach Wu, Alex Tseng, Jia Ge, Peng Wan, and Yimin Li "Feasibility of ultra-long range detection by the time-of-flight LiDAR", Proc. SPIE 12540, Autonomous Systems: Sensors, Processing, and Security for Ground, Air, Sea, and Space Vehicles and Infrastructure 2023, 1254007 (13 June 2023); https://doi.org/10.1117/12.2666020

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