Cargando…
Map-Matching-Based Localization Using Camera and Low-Cost GPS for Lane-Level Accuracy †
For self-driving systems or autonomous vehicles (AVs), accurate lane-level localization is a important for performing complex driving maneuvers. Classical GNSS-based methods are usually not accurate enough to have lane-level localization to support the AV’s maneuvers. LiDAR-based localization can pr...
Autores principales: | Sadli, Rahmad, Afkir, Mohamed, Hadid, Abdenour, Rivenq, Atika, Taleb-Ahmed, Abdelmalik |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9002986/ https://www.ncbi.nlm.nih.gov/pubmed/35408048 http://dx.doi.org/10.3390/s22072434 |
Ejemplares similares
-
Vehicular Environment Identification Based on Channel State Information and Deep Learning
por: Ribouh, Soheyb, et al.
Publicado: (2022) -
Lane-Level Map-Matching Method for Vehicle Localization Using GPS and Camera on a High-Definition Map
por: Kang, Jeong Min, et al.
Publicado: (2020) -
An Enhanced Map-Matching Algorithm for Real-Time Position Accuracy Improvement with a Low-Cost GPS Receiver
por: Kang, Jeong Min, et al.
Publicado: (2018) -
Interactive Attention Learning on Detection of Lane and Lane Marking on the Road by Monocular Camera Image
por: Tian, Wei, et al.
Publicado: (2023) -
COVID-19 Recognition Using Ensemble-CNNs in Two New Chest X-ray Databases
por: Vantaggiato, Edoardo, et al.
Publicado: (2021)