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Yuan Luo, Jiakai Lu, Qiong Qin and Yanyu Liu
The Jump Point Search (JPS) algorithm ignores the possibility of any-angle walking, so the paths found by the JPS algorithm under the discrete grid map still have a gap with the real paths. To address the above problems, this paper improves the path opti...
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Yuan Luo, Jiakai Lu, Yi Zhang, Qiong Qin and Yanyu Liu
This research can be applied to path planning and automatic obstacle avoidance of drone in low altitude complex environments.
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Kaijun Zhou, Lingli Yu, Ziwei Long and Siyao Mo
The Jump Point Search (JPS) algorithm is adopted for local path planning of the driverless car under urban environment, and it is a fast search method applied in path planning. Firstly, a vector Geographic Information System (GIS) map, including G...
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Kaijun Zhou, Lingli Yu, Ziwei Long and Siyao Mo
The Jump Point Search (JPS) algorithm is adopted for local path planning of the driverless car under urban environment, and it is a fast search method applied in path planning. Firstly, a vector Geographic Information System (GIS) map, including Global P...
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Xu Han, Xianku Zhang and Hugan Zhang
Trajectory planning aims to provide a time-related control target that contains the concerned states. For an underactuated surface vehicle (USV), planning challenges include limitations on curvature, speed, acceleration, and jerk. These challenges are re...
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Junjie Zeng, Long Qin, Yue Hu, Quanjun Yin and Cong Hu
Since an individual approach can hardly navigate robots through complex environments, we present a novel two-level hierarchical framework called JPS-IA3C (Jump Point Search improved Asynchronous Advantage Actor-Critic) in this paper for robot navigation ...
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