Map-matching algorithms for robot self-localization: a comparison between perfect match, iterative closest point and normal distributions transform
The self-localization of mobile robots is one of the most fundamental problems in the robotics navigation eld. It is a complex and challenging issue due to the hard requirements that autonomous mobile vehicles are subject to, particularly with regard to the algorithms accuracy, robustness and comput...
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| Other Authors: | , , , , , , |
| Format: | article |
| Language: | eng |
| Published: |
2018
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| Subjects: | |
| Online Access: | http://hdl.handle.net/10198/16260 |
| Country: | Portugal |
| Oai: | oai:bibliotecadigital.ipb.pt:10198/16260 |