Localization and Mapping on Agriculture Based on Point-Feature Extraction and Semiplanes Segmentation From 3D LiDAR Data

Developing ground robots for agriculture is a demanding task. Robots should be capable of performing tasks like spraying, harvesting, or monitoring. However, the absence of structure in the agricultural scenes challenges the implementation of localization and mapping algorithms. Thus, the research a...

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Detalles Bibliográficos
Autores principales: Aguiar, André Silva, Neves dos Santos, Filipe, Sobreira, Héber, Boaventura-Cunha, José, Sousa, Armando Jorge
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Robotics and AI
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8831384/
https://www.ncbi.nlm.nih.gov/pubmed/35155589
http://dx.doi.org/10.3389/frobt.2022.832165

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8831384/
https://www.ncbi.nlm.nih.gov/pubmed/35155589
http://dx.doi.org/10.3389/frobt.2022.832165

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