Results 11 to 20 of about 7,145,619 (284)
Detection of lane line based on Robert operator [PDF]
Journal of Measurements in Engineering, 2021 As autonomous driving technology becomes more and more popular, its safety is also attracting attention. Regarding the automatic driving of vehicles, the detection of road markings is particularly important. This paper improves the lane edge detection part of the Hough transform lane line detection method.
Yangzhe Wei, Miao Xu
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The research on edge detection algorithm of lane
EURASIP Journal on Image and Video Processing, 2018 In developed countries, the automation and intelligent development of vehicles has reached a relatively high level and has gradually developed in China. In recent years, algorithms for lane detection have emerged in an endless stream, but the advantages ...
Zhong-xun Wang, Wenqi Wang
doaj +2 more sources
AgricultureAgricultural factories utilize advanced facilities and technologies to cultivate crops in a controlled environment, enhancing operational yields and reducing reliance on natural resources.
Cundeng Wang +4 more
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Lane line detection based on cross-convolutional hybrid attention mechanism. [PDF]
Sci RepIn 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).
Wen J, Zhao Z, Wang C, Sun Z, Xu C.
europepmc +2 more sources
Lane Line Detection Based on Improved U-Net Network
, 2022 The lane line detection and recognition are crucial research area for automatic driving. It aims at solving the problem of fuzzy feature expression and low time-sensitives of lane line detection based on semantic segmentation.
Wang, Y, Zhang, S, Li, Y, Ma, J
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Lane line detection based on parallel spatial separation convolution [PDF]
, 2021 One of the fundamental tasks in autonomous driving is lane line detection. We aim to improve detection accuracy in complex scenarios and strike a better balance between performance and complexity of lane line detection networks.
Xue, J, Shen, X, Lu, Z, Zhang, Y
core +1 more source
Lane Detection Algorithm in Curves Based on Multi-Sensor Fusion
Sensors, 2023 Identifying lane markings is a key technology in assisted driving and autonomous driving. The traditional sliding window lane detection algorithm has good detection performance in straight lanes and curves with small curvature, but its detection and ...
Qiang Zhang, Jianze Liu, Xuedong Jiang
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IET Intelligent Transport Systems, 2023 Pixel segmentation is one of the most commonly used deep learning methods for modern lane line detection. Although deep segmentation outperforms traditional methods, there are two main problems: slow speed and limited receptive field.
Qin Yang +7 more
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A modulized lane‐follower for driverless vehicles using multi‐frame
Cognitive Computation and Systems, 2023 As a fundamental function, lane following plays an important role for driverless vehicles. Unfortunately, lane followers generally confront great difficulty in lane line missed situations caused by vague line, shadows etc.
Honggang Luan +6 more
doaj +1 more source
Ripple-GAN: Lane line detection with Ripple Lane Line Detection Network and Wasserstein GAN [PDF]
, 2020 With artificial intelligence technology being advanced by leaps and bounds, intelligent driving has attracted a huge amount of attention recently in research and development.
Liao, Q +4 more
core +1 more source