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A Localization and Mapping Algorithm Based on Improved LVI-SAM for Vehicles in Field Environments
Quickly grasping the surrounding environment’s information and the location of the vehicle is the key to achieving automatic driving. However, accurate and robust localization and mapping are still challenging for field vehicles and robots due to the characteristics of emptiness, terrain changeabili...
| 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/PMC10098548/ https://www.ncbi.nlm.nih.gov/pubmed/37050804 http://dx.doi.org/10.3390/s23073744 |