A novel vision-based lane detection and tracking algorithm using B-snake

A novel vision-based lane detection and tracking algorithm using B-snake

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...

Full description

Saved in:
Bibliographic Details
Main Author: Wang, Yue.
Other Authors: Teoh, Eam Khwang
Format: Theses and Dissertations
Language:English
Published: 2008
Subjects:
DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering
Online Access:http://hdl.handle.net/10356/13348
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
Description
Summary: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.

Similar Items