Informed Sampling-based Collision Avoidance with Least Deviation from the Nominal Path
Author:
Affiliation:
1. Technical University of Denmark,Automation and Control Group,Department of Electrical and Photonics Engineering,Kgs. Lyngby,Denmark,DK-2800
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9981026/9981028/09982202.pdf?arnumber=9982202
Reference32 articles.
1. Guided incremental local densification for accelerated sampling-based motion planning;mandalika;ArXiv Preprint,2021
2. Regionally accelerated batch informed trees (RABIT*): A framework to integrate local information into optimal path planning
3. COLREGs-Informed RRT* for Collision Avoidance of Marine Crafts
4. Non-Parametric Informed Exploration for Sampling-Based Motion Planning
5. Approaches for heuristically biasing RRT growth
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1. Bi-HS-RRT$$^\text {X}$$: an efficient sampling-based motion planning algorithm for unknown dynamic environments;Complex & Intelligent Systems;2024-07-20
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