Vision-Based Robust Lane Detection and Tracking in Challenging Conditions
Lane marking detection is fundamental for both advanced driving assistance systems and traffic surveillance systems. However, detecting lane is highly challenging when the visibility of a road lane marking is low, obscured or often invisible due to real ...
Samia Sultana +4 more
doaj +3 more sources
Proportional feature pyramid network based on weight fusion for lane detection [PDF]
Lane detection under extreme conditions presents a highly challenging task that requires capturing each crucial pixel to predict the complex topology of lane lines and differentiate the various lane types.
Jiapeng Hui +4 more
doaj +3 more sources
A Fast and Accurate Lane Detection Method Based on Row Anchor and Transformer Structure [PDF]
Lane detection plays a pivotal role in the successful implementation of Advanced Driver Assistance Systems (ADASs), which are essential for detecting the road’s lane markings and determining the vehicle’s position, thereby influencing subsequent decision
Yuxuan Chai, Shixian Wang, Zhijia Zhang
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A Lane Detection Method Based on a Ridge Detector and Regional G-RANSAC [PDF]
Lane detection plays an important role in improving autopilot’s safety. In this paper, a novel lane-division-lines detection method is proposed, which exhibits good performances in abnormal illumination and lane occlusion.
Zefeng Lu +5 more
doaj +2 more sources
Research on Lane Line Detection Algorithm Based on Instance Segmentation
Aiming at the current lane line detection algorithm in complex traffic scenes, such as lane lines being blocked by shadows, blurred roads, and road sparseness, which lead to low lane line detection accuracy and poor real-time detection speed, this paper ...
Wangfeng Cheng +2 more
doaj +1 more source
Survey Analysis of Robust and Real-Time Multi-Lane and Single Lane Detection in Indian Highway Scenarios [PDF]
Studies on lane detection Lane identification methods, integration, and evaluation strategies square measure all examined. The system integration approaches for building a lot of strong detection systems are then evaluated and analyzed, taking into ...
Hanuman A. Sai, Kumar G. Prasanna
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Efficient Multi-Lane Detection Based on Large-Kernel Convolution and Location
Lane detection is the critical sensing technology for autonomous driving systems and advanced driving assistance systems. Along with the rapid evolution of deep learning, vision-based lane detection has made tremendous progress.
Shoubiao Li, Xin Wu, Zhifei Wu
doaj +1 more source
Pedestrian lane detection is a crucial task in assistive navigation for vision-impaired people. It can provide information on walkable regions, help blind people stay on the pedestrian lane, and assist with obstacle detection.
Yunjia Lei +4 more
doaj +1 more source
Automatic Lane Line Detection System Based on Artificial Intelligence
As the need for an intelligent transport system is growing rapidly, lane line detection has gained a lot of attention recently. Aiming at the problem that the YOLOv3 algorithm has low accuracy and high probability of missed detection when detecting lane ...
Gaoqing Ji, Yunchang Zheng
doaj +1 more source
Research on road vehicle and lane line detection based on improved YOLOv4-tiny algorithm [PDF]
In order to improve the speed of road vehicle and lane line detection, a road vehicle and lane line detection method with improved YOLOv4-tiny algorithm is proposed by using K-means++ clustering algorithm instead of the original K-means algorithm.
Liu Hanwen +3 more
doaj +1 more source

