Dynamic integration and online evaluation of vision‐based lane detection algorithms-Reference-Cited by-同舟云学术

Dynamic integration and online evaluation of vision‐based lane detection algorithms

Published:2018-09-27 Issue:1 Volume:13 Page:55-62
ISSN:1751-9578
Container-title:IET Intelligent Transport Systems
language:en
Short-container-title:IET Intelligent Transport Systems

Author:

Xing Yang¹,Lv Chen²,Wang Huaji³,Cao Dongpu⁴,Velenis Efstathios¹

Affiliation:

1. Advanced Vehicle Engineering CentreCranfield UniversityCranfieldUK

2. School of Mechanical and Aerospace Engineering Nanyang Technological University 639798Singapore

3. AVL Powertrain UK LtdCoventryCV4 7EZUK

4. Department of Mechanical and Mechatronics EngineeringUniversity of WaterlooWaterlooN2L 3G1Canada

Publisher

Institution of Engineering and Technology (IET)

Subject

Law,Mechanical Engineering,General Environmental Science,Transportation

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-its.2018.5256

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3. A supervisory energy‐saving controller for a novel anti‐idling system of service vehicles;Huang Y.;IEEE/ASME Trans. Mechatronics,2017

4. Extended-Kalman-filter-based regenerative and friction blended braking control for electric vehicle equipped with axle motor considering damping and elastic properties of electric powertrain

5. Recent progress in road and lane detection: a survey

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