Comparison and analysis of typical laser point cloud filtering algorithms

Zechen Wang; Tengfei Ma; Ziwei Dai; Zixuan Huang; Yudan Chen; Fuyu Huang

doi:10.1117/12.2687947

6 November 2023 Comparison and analysis of typical laser point cloud filtering algorithms

Zechen Wang, Tengfei Ma, Ziwei Dai, Zixuan Huang, Yudan Chen, Fuyu Huang

Proceedings Volume 12921, Third International Computing Imaging Conference (CITA 2023); 129210O (2023) https://doi.org/10.1117/12.2687947
Event: Third International Computing Imaging Conference (CITA 2023), 2023, Sydney, Australia

Abstract

Laser radar is widely used in terrain mapping, unmanned driving and other fields because of its characteristics of accurate ranging, high sensitivity and all-weather work. However, more ground point clouds have a negative impact on the accuracy and speed of salient object detection. How to use laser point cloud filtering technology to efficiently extract ground points and non-ground point areas has become the key to improve the calculation speed and reduce the amount of computation. Therefore, this paper takes the SemanticKITTI dataset as the research object and combines theory with experiment to compare the effectiveness of the three-laser point cloud filtering algorithms of current mainstream morphology, CSF and PTD. The research work has guiding significance for scientifically selecting effective laser filtering algorithms.

Citation Download Citation

Zechen Wang, Tengfei Ma, Ziwei Dai, Zixuan Huang, Yudan Chen, and Fuyu Huang "Comparison and analysis of typical laser point cloud filtering algorithms", Proc. SPIE 12921, Third International Computing Imaging Conference (CITA 2023), 129210O (6 November 2023); https://doi.org/10.1117/12.2687947

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