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...

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Detalles Bibliográficos
Autores principales: Han, Lanyi, Shi, Zhiyong, Wang, Huaiguang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10098548/
https://www.ncbi.nlm.nih.gov/pubmed/37050804
http://dx.doi.org/10.3390/s23073744

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