Motion Planning for Autonomous Driving: The State of the Art and Future Perspectives
نویسندگان
چکیده
Intelligent vehicles (IVs) have gained worldwide attention due to their increased convenience, safety advantages, and potential commercial value. Despite predictions of deployment by 2025, implementation remains limited small-scale validation, with precise tracking controllers motion planners being essential prerequisites for IVs. This paper reviews state-of-the-art planning methods IVs, including pipeline end-to-end methods. The study examines the selection, expansion, optimization operations in a method, while it investigates training approaches validation scenarios driving tasks Experimental platforms are reviewed assist readers choosing suitable strategies. A side-by-side comparison is provided highlight strengths limitations, aiding system-level design choices. Current challenges future perspectives also discussed this survey.
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ژورنال
عنوان ژورنال: IEEE transactions on intelligent vehicles
سال: 2023
ISSN: ['2379-8904', '2379-8858']
DOI: https://doi.org/10.1109/tiv.2023.3274536