Sampling-Based Coverage Path Planning for Inspection of Complex Structures
We present several new contributions in sampling-based coverage path planning, the task of finding feasible paths that give 100% sensor coverage of complex structures in obstacle-filled and visually occluded environments. First, we establish a framework for analyzing the probabilistic completeness o...
| Main Authors: | , |
|---|---|
| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
Association for the Advancement of Artificial Intelligence (AAAI)
2014
|
| Online Access: | http://hdl.handle.net/1721.1/87729 https://orcid.org/0000-0002-2621-7633 |