A Sampling-Based Approach to Solve Difficult Path Planning Queries Efficiently in Narrow Environments for Autonomous Ground VehiclesOA
A Sampling-Based Approach to Solve Difficult Path Planning Queries Efficiently in Narrow Environments for Autonomous Ground Vehicles
Domokos Kiss
Department of Automation and Applied Informatics,Faculty of Electrical Engineering and Informatics,Budapest University of Technology and Economics,Müegyetem rkp.3,H-1111 Budapest,Hungary
Path planningsampling-based planningnarrow environmentautonomous ground vehicles
Path planningsampling-based planningnarrow environmentautonomous ground vehicles
《无人系统（英文）》 2025 (3)
663-688,26
This research was supported by the Ministry of Culture and Innovation and the National Research,Development and Innovation Office within the Cooperative Technologies National Laboratory of Hungary(Grant No.2022-2.1.1-NL-2022-00012).
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