Please use this identifier to cite or link to this item:
Title: A novel vision-based lane detection and tracking algorithm using B-snake
Authors: Wang, Yue.
Keywords: DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering
Issue Date: 1999
Abstract: This thesis presents a research work on LDTUB (Lane Detection and Tracking Using B-snake) algorithm for AGV (Autonomous Guided Vehicle). Vision-based lane detection method is chosen here as a vehicle guidance strategy. There are several advantages regarding to this selection: (a) taking advantage of the existing visual cues, such as lane markings and road boundaries, which have been employed by our humans when controlling vehicles; (b) avoiding the modification of the road infrastructure. Other lane detection method such as cooperative approach, requires to add active or passive beacon to the road infrastructure.
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Theses

Files in This Item:
File Description SizeFormat 
  Restricted Access
15.89 MBAdobe PDFView/Open

Page view(s) 20

checked on Oct 28, 2020

Download(s) 20

checked on Oct 28, 2020

Google ScholarTM


Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.