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...

Celý popis

Podrobná bibliografia

Vydané v:	Proceedings (IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Online) s. 17142 - 17150
Hlavní autori:	Jin, Dongkwon, Park, Wonhui, Jeong, Seong-Gyun, Kwon, Heeyeon, Kim, Chang-Su
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.06.2022
Predmet:	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
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!