Automatic lane marking prediction using convolutional neural network and S-Shaped Binary Butterfly Optimization-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Automatic lane marking prediction using convolutional neural network and S-Shaped Binary Butterfly Optimization

Published:2021-08-06 Issue:3 Volume:78 Page:3715-3745
ISSN:0920-8542
Container-title:The Journal of Supercomputing
language:en
Short-container-title:J Supercomput

Author:

Alajlan Abrar Mohammed,Almasri Marwah Mohammad

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Information Systems,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s11227-021-03988-x.pdf

Reference53 articles.

1. Taeihagh A, Lim HSM (2019) Governing autonomous vehicles: emerging responses for safety, liability, privacy, cybersecurity, and industry risks. Transp Rev 39(1):103–128

2. Zou Q, Jiang H, Dai Q, Yue Y, Chen L, Wang Q (2019) Robust lane detection from continuous driving scenes using deep neural networks. IEEE Trans Veh Technol 69(1):41–54

3. Garnett N, Cohen R, Pe'er T, Lahav R, Levi D (2019) 3D-LaneNet: end-to-end 3D multiple lane detection. In: Proceedings of the IEEE International Conference on Computer Vision, pp 2921–2930

4. Zhang X, Zhu X (2019) Autonomous path tracking control of intelligent electric vehicles based on lane detection and optimal preview method. Expert Syst Appl 121:38–48

5. Philion J (2019) FastDraw: addressing the long tail of lane detection by adapting a sequential prediction network. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp 11582–11591

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Current Approaches in Traffic Lane Detection: a minireview;The Archives of Automotive Engineering – Archiwum Motoryzacji;2024-06-26

2. Mapping Lane Markings with Multi-Sensor Data;2024 IEEE 22nd World Symposium on Applied Machine Intelligence and Informatics (SAMI);2024-01-25

3. Machine Learning Algorithms for Autonomous Vehicles;Handbook of Formal Optimization;2024

4. Machine Learning Algorithms for Autonomous Vehicles;Handbook of Formal Optimization;2024

5. Convolutional neural network pruning based on misclassification cost;The Journal of Supercomputing;2023-06-19

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3