Abstract
In this paper, the problem of dynamic obstacle recognition and dynamic obstacle avoidance path planning for mobile robots in outdoor environment is studied. Based on the odometer data and the online matching algorithm of 3D laser scanning point clouds, the topological map and the global path planning are realized in this paper firstly. Based on the analysis of the geometric characteristics of obstacles, a novel approach of dynamic obstacle recognition method is presented. At the same time, a dynamic obstacle avoidance method based on the obstacle motion prediction is adopted to solve the reliable obstacle avoidance path planning problem of outdoor mobile robot. A series of experiments are conducted with a self-designed mobile robot platform in large-scale outdoor environments, and the experimental results show the validity and effectiveness of the proposed approach.
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Yang, Q., Qu, D., Xu, F. (2019). Mobile Robot Autonomous Navigation and Dynamic Environmental Adaptation in Large-Scale Outdoor Scenes. In: Yu, H., Liu, J., Liu, L., Ju, Z., Liu, Y., Zhou, D. (eds) Intelligent Robotics and Applications. ICIRA 2019. Lecture Notes in Computer Science(), vol 11744. Springer, Cham. https://doi.org/10.1007/978-3-030-27541-9_26
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DOI: https://doi.org/10.1007/978-3-030-27541-9_26
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