Cargando…
Conception of a High-Level Perception and Localization System for Autonomous Driving
This paper describes the conception of a high level, compact, scalable, and long autonomy perception and localization system for autonomous driving applications. Our benchmark is composed of a high resolution lidar (128 channels), a stereo global shutter camera, an inertial navigation system, a time...
Autores principales: | Dauptain, Xavier, Koné, Aboubakar, Grolleau, Damien, Cerezo, Veronique, Gennesseaux, Manuela, Do, Minh-Tan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9783250/ https://www.ncbi.nlm.nih.gov/pubmed/36560030 http://dx.doi.org/10.3390/s22249661 |
Ejemplares similares
-
Estimation of Water Depth on Road Surfaces Using Accelerometric Signals
por: Riahi, Ebrahim, et al.
Publicado: (2022) -
Networked Roadside Perception Units for Autonomous Driving
por: Tsukada, Manabu, et al.
Publicado: (2020) -
Collaborative Perception—The Missing Piece in Realizing Fully Autonomous Driving
por: Malik, Sumbal, et al.
Publicado: (2023) -
Towards Deep Radar Perception for Autonomous Driving: Datasets, Methods, and Challenges
por: Zhou, Yi, et al.
Publicado: (2022) -
Enhanced Perception for Autonomous Driving Using Semantic and Geometric Data Fusion
por: Florea, Horatiu, et al.
Publicado: (2022)