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

• 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
• Institution: Nanyang Technological University

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.