Cargando…
The Correlation between Vehicle Vertical Dynamics and Deep Learning-Based Visual Target State Estimation: A Sensitivity Study
Automated vehicles will provide greater transport convenience and interconnectivity, increase mobility options to young and elderly people, and reduce traffic congestion and emissions. However, the largest obstacle towards the deployment of automated vehicles on public roads is their safety evaluati...
Autores principales: | Weber, Yannik, Kanarachos, Stratis |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6891543/ https://www.ncbi.nlm.nih.gov/pubmed/31717341 http://dx.doi.org/10.3390/s19224870 |
Ejemplares similares
-
CUPAC – The Coventry University public road dataset for automated cars
por: Weber, Yannik, et al.
Publicado: (2019) -
IO-VNBD: Inertial and Odometry benchmark dataset for ground vehicle positioning
por: Onyekpe, Uche, et al.
Publicado: (2021) -
Vehicle Trajectory Estimation Based on Fusion of Visual Motion Features and Deep Learning
por: Qu, Lianen, et al.
Publicado: (2021) -
A comparison of machine learning methods to classify radioactive elements using prompt-gamma-ray neutron activation data
por: Mathew, Jino, et al.
Publicado: (2023) -
High-altitude vertical wind profile estimation using multirotor vehicles
por: McConville, Alexander, et al.
Publicado: (2023)