An Unmanned Lane Detection Algorithm Using Deep Learning and Ordered Test Sets Strategy

Author:

Zhang Shenwei1ORCID,Lin Xiaoyan2ORCID,Zhang Mingwei2ORCID,Zhang Zhen2ORCID,Hou Yun3ORCID,Ning Honglong4ORCID,Qiu Tian2ORCID

Affiliation:

1. School of Information Science and Technology, North China University of Technology, China

2. Wuyi University, China

3. Department of Computing, Hang Seng University of Hong Kong, China

4. South China University of Technology, China

Publisher

ACM

Reference14 articles.

1. Survey on Vision-based Autonomous Vehicles [J];Zhiwei;Manufacturing Automation,2016

2. Hough Transform lane Detection Based on Superposition Constraint [J];Wu Lingling;Cable TV Technology,2019

3. Lane detection method based on Hough transform under multiple constraints [J];Su;Computer Measurement and Control

4. Girshick R , Donahue J , Darrell T , Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation[C]. IEEE Conference on Computer Vision and Pattern Recognition , Columbus, USA , 2014 : 580 - 587 . Girshick R, Donahue J, Darrell T, Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation[C]. IEEE Conference on Computer Vision and Pattern Recognition, Columbus, USA, 2014: 580-587.

5. Redmon J , Divvala S , Girshick R , You Only Look Once : Unified, Real-time Object Detection[C] . IEEE Conference on Computer Vision and Pattern Recognition , Las Vegas, USA , 2016 : 779-788. SSS Redmon J, Divvala S, Girshick R, You Only Look Once: Unified, Real-time Object Detection[C]. IEEE Conference on Computer Vision and Pattern Recognition, Las Vegas, USA, 2016: 779-788. SSS

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