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• W3136885705 abstract "One of the most challenging tasks for truck drivers is maneuvering the truck-trailer system in different parking scenarios. This article presents a novel path planning approach for truck-trailer parking, where a realistic and deterministic parking behavior model, Iterative Analytical Method (IAM), is proposed and combined with Closed-Loop Rapidly Exploring Random Tree (CL-RRT) approach in a cascade path planning. Cascade path planning approach combining CL-RRT with the iterative analytical method (IAM) mimicking real-world parking practice enables the generation of both kinematically feasible and deterministic parking maneuvers with obstacle avoidance. For evaluation, different parking scenarios are generated and selected through a developed case generation tool. The performance of the proposed path planning approach is evaluated through MATLAB simulations. The results achieved a noticeable success with a high rate of generated feasible maneuvers for parking." @default.
• W3136885705 created "2021-03-29" @default.
• W3136885705 creator A5022634449 @default.
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• W3136885705 date "2022-07-01" @default.
• W3136885705 modified "2023-10-16" @default.
• W3136885705 title "A Novel Cascade Path Planning Algorithm for Autonomous Truck-Trailer Parking" @default.
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• W3136885705 doi "https://doi.org/10.1109/tits.2021.3062701" @default.
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