OSIS: Obstacle-Sensitive and Initial-Solution-first path planning
Author:
Affiliation:
1. Nanjing University of Aeronautics and Astronautics,College of Computer Science and Technology,Nanjing,China
2. Nanjing University of Chinese Medicine,School of Artificial Intelligence and Information Technology,Nanjing,China
Funder
Civil Aviation University of China
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10475889/10475881/10476165.pdf?arnumber=10476165
Reference7 articles.
1. Batch Informed Trees (BIT*): Sampling-based optimal planning via the heuristically guided search of implicit random geometric graphs
2. Advanced BIT* (ABIT*): Sampling-Based Planning with Advanced Graph-Search Techniques
3. Adaptively Informed Trees (AIT*) and Effort Informed Trees (EIT*): Asymmetric bidirectional sampling-based path planning
4. Collision Detection or Nearest-Neighbor Search? On the Computational Bottleneck in Sampling-based Motion Planning
5. Random Geometric Graphs
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