文章基本信息

标题：A low-cost autonomous navigation system for a quadrotor in complex outdoor environments
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作者：Hanzhang Wang
期刊名称：International Journal of Advanced Robotic Systems
印刷版ISSN：1729-8806
电子版ISSN：1729-8814
出版年度：2020
卷号：17
期号：1
页码：1-10
DOI：10.1177/1729881420905150
出版社：SAGE Publications
摘要：In this article, we design a low-cost navigation system for a quadrotor working in unknown outdoor environments. To reduce the computing burden of the quadrotor, we build a separated system and transfer the computing resources from onboard side to ground station side. Both sides’ communication is guaranteed by 5G wireless networks. We utilize a stereo camera to acquire point clouds and build Octomap for the quadrotor’s navigation. Then, the trajectory is generated in two stages. In the first stage, a modified RRT*-CONNECT algorithm is adopted to generate a set of collision-free waypoints. In the second stage, a curve fitting algorithm is utilized to get a smooth piecewise Bezier trajectory. The advantage of the proposed method is to optimize the path into a safe, smooth, and dynamically feasible trajectory in real time. The modules of the state estimation, dense mapping, and motion planning are integrated into a DJI Matrice 100 quadrotor. Finally, simulation and experiments are both conducted to show the validity and practicality of our method.
关键词：Path planning; RRT*-CONNECT; cluttered outdoor environments; quadrotors; 5G
其他关键词：Path planning ; RRT*-CONNECT ; cluttered outdoor environments ; quadrotors ; 5G