Intelligent road recognition system for automous vehicle

• Main Author: Soon, Adrian Bee Toing
• Format: Thesis
• Language: English; English; English
• Published: 2013
• Subjects: TL Motor vehicles. Aeronautics. Astronautics; TL1-484 Motor vehicles. Cycles
• Online Access: http://eprints.uthm.edu.my/2132/1/24p%20SOON%20ADRIAN%20BEE%20TIONG.pdf; http://eprints.uthm.edu.my/2132/2/SOON%20ADRIAN%20BEE%20TIONG%20COPYRIGHT%20DECLARATION.pdf; http://eprints.uthm.edu.my/2132/3/SOON%20ADRIAN%20BEE%20TIONG%20WATERMARK.pdf; http://eprints.uthm.edu.my/2132/

An autonomous vehicle is a self-driving vehicle, that requires no operator to be involve in performing the set tasks. It is developed to assist humans in everyday tasks with the advantages of eliminating errors and reducing the need for human observation. For an autonomous vehicle to move with flexibility or to adapt to a new road environment, it needs to have human-like perception and intelligence. This project proposes an intelligent visual perception system for an autonomous vehicle. It consists of a camera vision system that captures the road image. The image features are extracted using simple image processing algorithms and are trained using artificial neural network (ANN). The trained system is able to recognize some predetermined road patterns. Further experimental tests are designed to justify the performance of the system settings. An optimized set of image quality and the ANN network structures are chosen.