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Title: Real-time lane detection for outdoor autonomous guided vehicles
Authors: Yong, Wen Huei.
Keywords: DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering
Issue Date: 2005
Abstract: This dissertation purposes a vision-based lane detection and tracking algorithm for outdoor Autonomous Guided Vehicles (AGVs). The basic approach in this project is to work on the ground image of the road surface, in real world space, with perspective effect removed. The advantage of working on the ground image is that we can make valid assumptions of the road geometry such as, the lane markings on two sides of the road are parallel and the lane width is constant.
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Theses

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