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Vision-Based Lane Detection and Tracking Algorithm

Name: Vision-Based Lane Detection and Tracking Algorithm
Brand: VDM Verlag
SKU: 06829292
Price: 23567 HUF
Availability: InStock
Author: Yue Wang
ISBN: 9783639213911

Lane Model Development and Application

Yue Wang

Language

English

Book Paperback

Libristo code: 06829292

Publishers VDM Verlag, November 2009

This book is about a research work on Lane Detection and Tracking Using B-snake for Autonomous Guide... Full description

Libristo code: 06829292

161 b

23 567 Ft

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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.