International Journal of Control, Automation and Systems 2017; 15(3): 1374-1383
Published online May 22, 2017
https://doi.org/10.1007/s12555-015-0354-y
© The International Journal of Control, Automation, and Systems
This paper presents an online obstacle localization and avoidance scheme for aerial vehicles over the order of seconds for general aviation. The scheme contains three stages. In the first stage, stereo visual odometry is adopted to locate the local positions of the obstacles, and the local positions are fused with global positioning system (GPS) or differential GPS to obtain global map information. In the second stage, we search the safety areas on the basis of depth image obtained by semi-global Matching (SGM) algorithm and computing safety points of every frame. In the third stage, the smooth trajectory is planned in real-time based on the map and those safety points through receding horizon control based mixed integer linear programming (MILP). Simulations and experiments verified the feasibility of the proposed scheme."
Keywords General aviation, online obstacles localization and avoidance, stereo-vision, trajectory planning.
International Journal of Control, Automation and Systems 2017; 15(3): 1374-1383
Published online June 1, 2017 https://doi.org/10.1007/s12555-015-0354-y
Copyright © The International Journal of Control, Automation, and Systems.
Xiaojie Zhao, Gang Wang*, Maozhi Cai and Hongkun Zhou
University of Electronic Science and Technology of China
This paper presents an online obstacle localization and avoidance scheme for aerial vehicles over the order of seconds for general aviation. The scheme contains three stages. In the first stage, stereo visual odometry is adopted to locate the local positions of the obstacles, and the local positions are fused with global positioning system (GPS) or differential GPS to obtain global map information. In the second stage, we search the safety areas on the basis of depth image obtained by semi-global Matching (SGM) algorithm and computing safety points of every frame. In the third stage, the smooth trajectory is planned in real-time based on the map and those safety points through receding horizon control based mixed integer linear programming (MILP). Simulations and experiments verified the feasibility of the proposed scheme."
Keywords: General aviation, online obstacles localization and avoidance, stereo-vision, trajectory planning.
Vol. 23, No. 1, pp. 1~88
Cong Niu, Haidong Shen*, Kun Yan, and Xiutian Yan
International Journal of Control, Automation, and Systems 2024; 22(10): 3202-3218Wenbo Huang, Wangqiang Niu*, Hongfen Bai, and Wei Gu
International Journal of Control, Automation, and Systems 2024; 22(2): 419-429Ruoyu Xu, Jianyan Tian*, Jifu Li, and Xinpeng Zhai
International Journal of Control, Automation, and Systems 2023; 21(10): 3368-3381