Autonomous vehicle localization method based on an extended Kalman filter and geo-referenced landmarks

Autonomous vehicles are considered a viable technological option to implement first/last mile transportation in the cities of tomorrow with a high population density, and for this reason it is essential that they have a robust localization system for the routes first-mile transport and last-mile tra...

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Autores:
Tipo de recurso:
http://purl.org/coar/resource_type/c_6690
Fecha de publicación:
2022
Institución:
Universidad Pedagógica y Tecnológica de Colombia
Repositorio:
RiUPTC: Repositorio Institucional UPTC
Idioma:
eng
spa
OAI Identifier:
oai:repositorio.uptc.edu.co:001/10385
Acceso en línea:
https://revistas.uptc.edu.co/index.php/investigacion_duitama/article/view/14213
https://repositorio.uptc.edu.co/handle/001/10385
Palabra clave:
autonomous vehicles
robot localization
Kalman filters
laser radar
vehículos autónomos
localización de robots
filtros de Kalman
radar láser
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Derechos de autor 2022 Revista de Investigación, Desarrollo e Innovación