Cargando…
A Novel Online Approach for Drift Covariance Estimation of Odometries Used in Intelligent Vehicle Localization †
Localization is the fundamental problem of intelligent vehicles. For a vehicle to autonomously operate, it first needs to locate itself in the environment. A lot of different odometries (visual, inertial, wheel encoders) have been introduced through the past few years for autonomous vehicle localiza...
Autores principales: | Osman, Mostafa, Hussein, Ahmed, Al-Kaff, Abdulla, García, Fernando, Cao, Dongpu |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6928711/ https://www.ncbi.nlm.nih.gov/pubmed/31779211 http://dx.doi.org/10.3390/s19235178 |
Ejemplares similares
-
Correction: Osman, M., et al. A Novel Online Approach for Drift Covariance Estimation of Odometries Used in Intelligent Vehicle Localization. Sensors 2019, 19, 5178
por: Osman, Mostafa, et al.
Publicado: (2020) -
Consistent Monocular Ackermann Visual–Inertial Odometry for Intelligent and Connected Vehicle Localization
por: Ma, Fangwu, et al.
Publicado: (2020) -
Modular Approach for Odometry Localization Method for Vehicles with Increased Maneuverability
por: Han, Chenlei, et al.
Publicado: (2020) -
Visual-Inertial Odometry with Robust Initialization and Online Scale Estimation
por: Hong, Euntae, et al.
Publicado: (2018) -
Fail-Aware LIDAR-Based Odometry for Autonomous Vehicles
por: García Daza, Iván, et al.
Publicado: (2020)