Date on Master's Thesis/Doctoral Dissertation
8-2011
Document Type
Master's Thesis
Degree Name
M.S.
Department
Computer Engineering and Computer Science
Committee Chair
Ouyang, Ming
Committee Co-Chair (if applicable)
Nasraoui, Olfa
Committee Member
El-Baz, Ayman S.
Author's Keywords
Computer vision; Traffic sign; Stereoscopic; Image processing
Subject
Computer vision; Pattern recognition systems; Image processing--Digital techniques
Abstract
Traffic sign (TS) detection and tracking is one of the main tasks of an autonomous vehicle which is addressed in the field of computer vision. An autonomous vehicle must have vision based recognition of the road to follow the rules like every other vehicle on the road. Besides, TS detection and tracking can be used to give feedbacks to the driver. This can significantly increase safety in making driving decisions. For a successful TS detection and tracking changes in weather and lighting conditions should be considered. Also, the camera is in motion, which results in image distortion and motion blur. In this work a fast and robust method is proposed for tracking the stop signs in videos taken with stereoscopic cameras that are mounted on the car. Using camera parameters and the detected sign, the distance between the stop sign and the vehicle is calculated. This calculated distance can be widely used in building visual driver-assistance systems.
Recommended Citation
Abdollahi, Behnoush 1986-, "Stereoscopic vision in vehicle navigation." (2011). Electronic Theses and Dissertations. Paper 5.
https://doi.org/10.18297/etd/5
