Kniha Vision-Based Lane Detection and Tracking Algorithm Yue Wang

Vision-Based Lane Detection and Tracking Algorithm

Lane Model Development and Application

Autor: Yue Wang
Jazyk: Angličtina
Vazba: Brožovaná
Vydavatel: VDM Verlag
Dostupnost: Skladem u dodavatele
Odesíláme za 9-15 dnů
1 377
This book is about a research work on Lane Detection and Tracking Using B-snake for Autonomous Guide...

Informace o knize

Autor
Jazyk
Angličtina
Vazba
Kniha - Brožovaná
Vydáno
2009
Stránek
140
EAN
9783639213911
ISBN
3639213912
Enbook ID
06829292
Vydavatel
Hmotnost
213
Rozměry
152 x 229 x 8

Kompletní popis

This book is about a research work on Lane Detection and Tracking Using B-snake for Autonomous Guided Vehicle. The reviews on the existing lane detection techniques are presented. A novel B-snake based lane model which describes the perspective effect of parallel lines is constructed with dual external forces for generic lane boundary or marking, it is able to describe a wider range of lane structures than other lane models such as straight and parabolic models. A robust algorithm called Canny/Hough Estimation of Vanishing Points is presented for providing a good initial position for the B-snake lane model. This algorithm is robust to noises, shadows, and illumination variations in the captured road images, and is also applicable to both the marked and the unmarked, dash paint line and solid paint line roads. A minimum energy method called MMSE (Minimum Mean Square Error) is presented to determine the parameters of road model iteratively. Road tracking is carried on after successful lane detection, by a simple external force field and MMSE method, tracking is efficient and results are good.

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