Lane line detection based on cross-convolutional hybrid attention mechanism
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-01167-z
Abstract: In order to enhance the accuracy and robustness of lane line recognition in dynamic and complex environments, this paper proposes a lane line detection model based on a cross-convolutional hybrid attention mechanism (CCHA-Net). Unlike traditional… read more here.
Keywords: lane line; based cross; attention; mechanism ... See more keywords
Strong-Help-Weak: An Online Multi-Task Inference Learning Approach for Robust Advanced Driver Assistance Systems
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2024.3430811
Abstract: Multi-task learning in advanced driver assistance systems aims to endow models with the capacity to jointly handle multiple related tasks, such as object detection, depth estimation, and more. However, existing multi-task learning models largely rely… read more here.
Keywords: task; lane line; multi task; inference learning ... See more keywords
Improved DeepLabV3+ for UAV-Based Highway Lane Line Segmentation
Sign Up to like & getrecommendations! Published in 2025 at "Sustainability"
DOI: 10.3390/su17167317
Abstract: Sustainable highway infrastructure maintenance critically depends on precise lane line detection, yet conventional inspection approaches remain resource-depleting, carbon-intensive, and hazardous to personnel. To mitigate these constraints and address the low accuracy and high parameterization of… read more here.
Keywords: lane line; uav based; based highway; line segmentation ... See more keywords