Results 1 to 10 of about 7,145,619 (284)

Research on Lane Line Detection Algorithm Based on Instance Segmentation [PDF]

Sensors, 2023
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, Xuanyao Wang, Bangguo Mao   +2 more
doaj   +5 more sources

Lane line detection at nighttime on fractional differential and central line point searching with Fragi and Hessian [PDF]

Scientific Reports, 2023
To detect lanes at night, each detecting image is the fusion of the multiple images in a video sequence. The valid lane line detection region is identified on region merging.
Limin Li, Weixing Wang, Mengfei Wang, Sheng Feng, Amna Khatoon   +4 more
doaj   +3 more sources

Dynamic Data Augmentation Based on Imitating Real Scene for Lane Line Detection

Remote Sensing, 2023
With the rapid development of urban ground transportation, lane line detection is gradually becoming a major technological direction to help to realize safe vehicle navigation.
Qingwang Wang, Lu Wang, Yongke Chi, Tao Shen, Jian Song, Ju Gao, Shiquan Shen   +6 more
doaj   +4 more sources

InstLane Dataset and Geometry-Aware Network for Instance Segmentation of Lane Line Detection

Remote Sensing
Despite impressive progress, obtaining appropriate data for instance-level lane segmentation remains a significant challenge. This limitation hinders the refinement of granular lane-related applications such as lane line crossing surveillance, pavement ...
Qimin Cheng, Jiajun Ling, Yunfei Yang, Kaiji Liu, Huanying Li, Xiao Huang   +5 more
doaj   +4 more sources

Research on road vehicle and lane line detection based on improved YOLOv4-tiny algorithm [PDF]

SHS Web of Conferences, 2022
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, Wang Hongxia, Zhou Kui, Long Yun   +3 more
doaj   +2 more sources

Ripple-GAN: Lane Line Detection With Ripple Lane Line Detection Network and Wasserstein GAN [PDF]

IEEE Transactions on Intelligent Transportation Systems, 2021
With artificial intelligence technology being advanced by leaps and bounds, intelligent driving has attracted a huge amount of attention recently in research and development. In intelligent driving, lane line detection is a fundamental but challenging task particularly under complex road conditions.
Youcheng Zhang, Dongdong Ma, Jing-Hao Xue   +2 more
exaly   +4 more sources

Automatic Lane Line Detection System Based on Artificial Intelligence

Journal of Electrical and Computer Engineering, 2022
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   +2 more sources

Lane departure warning systems and lane line detection methods based on image processing and semantic segmentation: A review

Journal of Traffic and Transportation Engineering (English ed. Online), 2020
Recently, the development and application of lane line departure warning systems have been in the market. For any of the systems, the key part of lane line tracking, lane line identification, or lane line departure warning is whether it can accurately ...
Weiwei Chen, Weixing Wang, Kevin Wang, Zhaoying Li, Huan Li, Sheng Liu   +5 more
doaj   +3 more sources

A Novel Lane Line Detection Algorithm for Driverless Geographic Information Perception Using Mixed-Attention Mechanism ResNet and Row Anchor Classification

ISPRS International Journal of Geo-Information, 2023
Lane line detection is a fundamental and critical task for geographic information perception of driverless and advanced assisted driving. However, the traditional lane line detection method relies on manual adjustment of parameters, and has poor ...
Yongchao Song, Tao Huang, Xin Fu, Yahong Jiang, Jindong Xu, Jindong Zhao, Weiqing Yan, Xuan Wang   +7 more
doaj   +3 more sources

Lane Line Detection Based on Improved PINet

Journal of Computer and Communications, 2023
Xueyan Jiao, Yiqiao Lin, Lei Zhao
exaly   +2 more sources