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CNN-Based Fault Detection of Scan Matching for Accurate SLAM in Dynamic Environments
This paper proposes a method for CNN-based fault detection of the scan-matching algorithm for accurate SLAM in dynamic environments. When there are dynamic objects in an environment, the environment that is detected by a LiDAR sensor changes. Thus, the scan matching of laser scans is likely to fail....
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10054667/ https://www.ncbi.nlm.nih.gov/pubmed/36991651 http://dx.doi.org/10.3390/s23062940 |