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Offset distance and heading angle detection for steering control of an intelligent vehicle using canny edge detection and hough transformation | |
Author | Tanapong Makmaitree |
Call Number | AIT Thesis no.ISE-13-49 |
Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Mechatronics, School of Engineering and Technology |
Publisher | Asian Institute of Technology |
Series Statement | Thesis; no.ISE-13-49 |
Abstract | An intelligent vehicle could not running along with lane line without lane line detection system. Lane line detection system was implemented using Microsoft Visual C++ with OPENCV libraries. OPENCV libraries have many functions to implement image processing procedures which essential for lane line detection system. Grayscale, blur, Gaussian blur, reducing brightness, histogram equalization, and intensity inversion were implemented to pre-processing image before detecting edge from the image. After image was ready to detect edge, Canny edge detection was used to detect edge from image. Edge detected image was used to perform Hough transformation to transform edge line to line data which computer understand it. After that, non lane line data should be filtered. Detected lane line from the image is presenting in Hough transform data. Lane line data was used to control offset distance and heading direction respect to the lane line. |
Year | 2013 |
Corresponding Series Added Entry | Asian Institute of Technology. Thesis ; no. ISE-13-49 |
Type | Thesis |
School | School of Engineering and Technology (SET) |
Department | Department of Industrial Systems Engineering (DISE) |
Academic Program/FoS | Microelectronics (ME) |
Chairperson(s) | Manukid Parnichkhun; |
Examination Committee(s) | Bohez, Erik L.J. ;Mongkol Ekpanyapong; |
Scholarship Donor(s) | Royal Thai Government ;Asian Institute of Technology Fellowship; |
Degree | Thesis (M.Eng.) - Asian Institute of Technology, 2013 |