Research on point cloud data processing for helicopter aided navigation

Kai Liu; Jing Wu; Jun-Jie Li; Jing-Jing Shen

doi:10.1117/12.2586194

12 March 2021 Research on point cloud data processing for helicopter aided navigation

Kai Liu, Jing Wu, Jun-Jie Li, Jing-Jing Shen

Proceedings Volume 11763, Seventh Symposium on Novel Photoelectronic Detection Technology and Applications; 1176310 (2021) https://doi.org/10.1117/12.2586194
Event: Seventh Symposium on Novel Photoelectronic Detection Technology and Application 2020, 2020, Kunming, China

Abstract

As the application scenarios of helicopters become more and more extensive, it’s low-altitude safety is becoming more and more important. Because of its excellent three-dimensional detection capabilities, Lidar has gradually become an important sensor to solve the problem of helicopter low-altitude flight safety. This article first introduces the lidar point cloud data processing flow for helicopter-assisted navigation, then combines the CSF algorithm and the moving surface fitting idea, proposes an improved point cloud terrain adaptive segmentation method. Experiments show that this method has the advantages of strong adaptability to terrain and high real-time performance on the basis of ensuring a certain accuracy, and it is suitable for ground point cloud segmentation of airborne assisted navigation.

Citation Download Citation

Kai Liu, Jing Wu, Jun-Jie Li, and Jing-Jing Shen "Research on point cloud data processing for helicopter aided navigation", Proc. SPIE 11763, Seventh Symposium on Novel Photoelectronic Detection Technology and Applications, 1176310 (12 March 2021); https://doi.org/10.1117/12.2586194

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