Optimal Path Planning for Autonomous Vehicles Using Artificial Potential Field Algorithm
Author:
Publisher
Springer Science and Business Media LLC
Subject
Automotive Engineering
Link
https://link.springer.com/content/pdf/10.1007/s12239-023-0102-x.pdf
Reference22 articles.
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3. Brezak, M. and Petrovic, I. (2013). Real-time approximation of clothoids with bounded error for path planning applications. IEEE Trans. Robotics 30, 2, 507–515.
4. Dolgov, D., Thrun, S., Montemerlo, M. and Diebel, J. (2010). Path planning for autonomous vehicles in unknown semi-structured environments. Int. J. Robotics Research 29, 5, 485–501.
5. Ferguson, D., Howard, T. M. and Likhachev, M. (2008). Motion planning in urban environments. J. Field Robotics 25, 11–12, 939–960.
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