Advances in Vision-Based Lane Detection: Algorithms, Integration, Assessment, and Perspectives on ACP-Based Parallel Vision

Lane detection is a fundamental aspect of most current advanced driver assistance systems &#x0028 ADASs &#x0029. A large number of existing results focus on the study of vision-based lane detection methods due to the extensive knowledge background and the low-cost of camera devices. In this...

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Vydáno v:	IEEE/CAA journal of automatica sinica Ročník 5; číslo 3; s. 645 - 661
Hlavní autoři:	Xing, Yang, Lv, Chen, Chen, Long, Wang, Huaji, Wang, Hong, Cao, Dongpu, Velenis, Efstathios, Wang, Fei-Yue
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Chinese Association of Automation (CAA) 01.05.2018
Témata:	ACP theory Advanced driver assistance systems (ADASs) benchmark Detection algorithms Feature extraction Image color analysis Image edge detection lane detection parallel vision performance evaluation Roads Robustness Transforms
ISSN:	2329-9266, 2329-9274
On-line přístup:	Získat plný text
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