Motion planning in dynamic environment using maneuverability maps
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,General Biochemistry, Genetics and Molecular Biology
Link
https://link.springer.com/content/pdf/10.1007/s10015-022-00770-x.pdf
Reference21 articles.
1. Katrakazas C, Quddus M, Chen W-H, Deka L (2015) Real-time motion planning methods for autonomous on-road driving: state-of-the-art and future research directions. Transp Res Part C: Emerg Technol. https://doi.org/10.1016/J.TRC.2015.09.011
2. Fulgenzi C, Spalanzani A et al. (2007) Dynamic obstacle avoidance in uncertain environment combining PVOs and occupancy grid. In: Proceedings 2007 IEEE International Conference on Robotics and Automation
3. Ferguson D, Darms M et al (2008) Detection, prediction, and avoidance of dynamic obstacles in urban environments. In: 2008 IEEE Intelligent Vehicles Symposium
4. Hu X, Chen L et al (2018) Dynamic path planning for autonomous driving on various roads with avoidance of static and moving obstacles. Mech Syst Signal Process 100:482–500
5. Houenou A, Bonnifait P et al (2013) Vehicle trajectory prediction based on motion model and maneuver recognition. In: 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems
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