Date of Award:
5-2017
Document Type:
Thesis
Degree Name:
Master of Science (MS)
Department:
Electrical and Computer Engineering
Committee Chair(s)
Rajnikant Sharma
Committee
Rajnikant Sharma
Committee
Donald Cripps
Committee
Xiaojun Qi
Abstract
Self-driving cars are an area of increasing investment for researchers and auto manufacturers. Integration has already begun for such vehicles in urban environments. An essential aspect of navigation in these areas is the ability to sense and follow lane markers. This thesis focuses on the development of a self-driving, full-size, electric car which uses only a camera and lane markers to stay on the road. A complete method for automation is shown for a stock vehicle. Discussion includes reverse engineering of the steering, braking, and acceleration signals, as well as methods for lane detection and full-vehicle control.
Checksum
b0fe0e8a4b2b480e56678002fb6bfe15
Recommended Citation
Kunz, N. Chase, "Vision-Based Control of a Full-Size Car by Lane Detection" (2017). All Graduate Theses and Dissertations, Spring 1920 to Summer 2023. 6534.
https://digitalcommons.usu.edu/etd/6534
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