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- W2783485394 abstract "Path planning for automated parking remains challenged by the demand to balance general parking scenarios and computational efficiency. This paper proposes a two-stage rapid-exploring random tree (RRT) algorithm to improve the computational efficiency. At first the proposed algorithm performs space exploration and establishes prior knowledge, represented as waypoints, using cheap computation. Secondly a waypoint-guided RRT algorithm, with a sampling scheme biased by the waypoints, constructs a kinematic tree connecting the initial and goal configurations. Numerical study demonstrates that the two-stage algorithm achieves at least 2X faster than the baseline one-stage algorithm." @default.
- W2783485394 created "2018-01-26" @default.
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- W2783485394 date "2017-08-01" @default.
- W2783485394 modified "2023-09-26" @default.
- W2783485394 title "A two-stage RRT path planner for automated parking" @default.
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- W2783485394 doi "https://doi.org/10.1109/coase.2017.8256153" @default.
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