Title :
ImprovCV: Open component based automotive vision
Author :
Boeing, Adrian ; Braunl, Thomas
Author_Institution :
Edith Cowan Univ., Perth, WA
Abstract :
Recently there has been an increased interest in vision based driver assistant systems. A need for open, flexible, modular automotive vision systems has been expressed. We present an open source component based automotive vision software that enables rapid, interactive development. A Hough transform based lane tracking example application is presented to demonstrate the capabilities of the software.
Keywords :
Hough transforms; computer vision; driver information systems; Hough transform; automotive vision software; flexible automotive vision systems; lane tracking; modular automotive vision systems; open automotive vision systems; vision based driver assistant systems; Application software; Automotive engineering; Computer vision; Costs; Gold; Image processing; MATLAB; Machine vision; Open source software; Robot vision systems;
Conference_Titel :
Intelligent Vehicles Symposium, 2008 IEEE
Conference_Location :
Eindhoven
Print_ISBN :
978-1-4244-2568-6
Electronic_ISBN :
1931-0587
DOI :
10.1109/IVS.2008.4621236
