Regular Papers

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

Stereo-Vision based Obstacle Avoidance by Finding Safe Region

Xiaojie Zhao, Gang Wang*, Maozhi Cai and Hongkun Zhou

University of Electronic Science and Technology of China

Abstract

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.

Article

Regular Papers

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.

Stereo-Vision based Obstacle Avoidance by Finding Safe Region

Xiaojie Zhao, Gang Wang*, Maozhi Cai and Hongkun Zhou

University of Electronic Science and Technology of China

Abstract

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.

IJCAS
January 2025

Vol. 23, No. 1, pp. 1~88

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