Eigenlanes: Data-Driven Lane Descriptors for Structurally Diverse Lanes

A novel algorithm to detect road lanes in the eigen-lane space is proposed in this paper. First, we introduce the notion of eigenlanes, which are data-driven descriptors for structurally diverse lanes, including curved, as well as straight, lanes. To obtain eigenlanes, we perform the best rank-M app...

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Veröffentlicht in:	Proceedings (IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Online) S. 17142 - 17150
Hauptverfasser:	Jin, Dongkwon, Park, Wonhui, Jeong, Seong-Gyun, Kwon, Heeyeon, Kim, Chang-Su
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.06.2022
Schlagworte:	Codes Computer vision Image analysis Machine vision Navigation Navigation and autonomous driving; Scene analysis and understanding; Vision applications and systems Roads Training
ISSN:	1063-6919
Online-Zugang:	Volltext
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