Visualization of UGV motion state fused geospatial information

Yang Zhang; Bingli Xu; Zhongxuan Liu; Hairong Hu

doi:10.1117/12.2660693

3 February 2023 Visualization of UGV motion state fused geospatial information

Yang Zhang, Bingli Xu, Zhongxuan Liu, Hairong Hu

Proceedings Volume 12511, Third International Conference on Computer Vision and Data Mining (ICCVDM 2022); 125110K (2023) https://doi.org/10.1117/12.2660693
Event: Third International Conference on Computer Vision and Data Mining (ICCVDM 2022), 2022, Hulun Buir, China

Abstract

Aimed at visualization requirements of the motion state of unmanned ground vehicles (UGV) in geospatial environment, we designed a Cesium-based geospatial information framework. Firstly, the ROS-based motion data structure and communicating method are studied. Then the motion information of UGV in real time is display in a 3D geographic environment with basic information such as maps and terrain loaded. As a result, the fusion and expression of motion data and geospatial data are accomplished, which support the application and research of internal and external information visualization, path planning, automatic control, and other aspects of UGV.

Citation Download Citation

Yang Zhang, Bingli Xu, Zhongxuan Liu, and Hairong Hu "Visualization of UGV motion state fused geospatial information", Proc. SPIE 12511, Third International Conference on Computer Vision and Data Mining (ICCVDM 2022), 125110K (3 February 2023); https://doi.org/10.1117/12.2660693

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