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Local Trajectory Planning for Obstacle Avoidance of Unmanned Tracked Vehicles Based on Artificial Potential Field Method
Li Zhai
*
, Chang Liu, Xueying Zhang, Chengping Wang
*
此作品的通讯作者
机械与车辆学院
Beijing Institute of Technology
China North Vehicle Research Institute
Huawei Technologies Co., Ltd.
科研成果
:
期刊稿件
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文章
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同行评审
5
引用 (Scopus)
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探究 'Local Trajectory Planning for Obstacle Avoidance of Unmanned Tracked Vehicles Based on Artificial Potential Field Method' 的科研主题。它们共同构成独一无二的指纹。
分类
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按字母排序
Engineering
Trajectory Planning
100%
Obstacle Avoidance
100%
Field Method
100%
Simulation Result
28%
Target Point
28%
Lateral Displacement
28%
Road
14%
Relative Velocity
14%
Matlab-Simulink
14%
Repulsive Potential
14%
Drastic Change
14%
Earth and Planetary Sciences
Trajectory Planning
100%
Obstacle Avoidance
100%
Field Method
100%
Tracked Vehicle
100%
Planning Method
28%
Computer Science
Trajectory Planning
100%
Obstacle Avoidance
100%
artificial potential field
100%
Planning Method
28%
Simulink
14%
Relative Velocity
14%
Loop Simulation
14%
Turning Radius
14%