Cargando…
An End-to-End Lane Detection Model with Attention and Residual Block
Lane detection, as one of the most important core functions in the autonomous driving environment, is still an open problem. In particular, pursuing high accuracy in complex scenes, such as no line and multiple lane lines, is an urgent issue to be discussed and solved. In this paper, a novel end-to-...
Autores principales: | Wang, Bo, Yan, Xiaoting, Li, Deguang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9020903/ https://www.ncbi.nlm.nih.gov/pubmed/35463283 http://dx.doi.org/10.1155/2022/5852891 |
Ejemplares similares
-
Real-time lane detection model based on non bottleneck skip residual connections and attention pyramids
por: Chen, Lichao, et al.
Publicado: (2021) -
Interactive Attention Learning on Detection of Lane and Lane Marking on the Road by Monocular Camera Image
por: Tian, Wei, et al.
Publicado: (2023) -
The geometric attention-aware network for lane detection in complex road scenes
por: Long, JianWu, et al.
Publicado: (2021) -
Lane Mark Detection with Pre-Aligned Spatial-Temporal Attention
por: Chen, Yiman, et al.
Publicado: (2022) -
Graph Model-Based Lane-Marking Feature Extraction for Lane Detection
por: Yoo, Juhan, et al.
Publicado: (2021)