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A Revisiting Method Using a Covariance Traveling Salesman Problem Algorithm for Landmark-Based Simultaneous Localization and Mapping
This paper presents an efficient revisiting algorithm for landmark-based simultaneous localization and mapping (SLAM). To reduce SLAM uncertainty in terms of a robot’s pose and landmark positions, the method autonomously evaluates valuable landmarks for the data associations in the SLAM algorithm an...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2019
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6891320/ https://www.ncbi.nlm.nih.gov/pubmed/31717671 http://dx.doi.org/10.3390/s19224910 |