Title :
Lane departure and front collision warning using a single camera
Author :
Huei-Yung Lin ; Li-Qi Chen ; Yu-Hsiang Lin ; Meng-Shiun Yu
Author_Institution :
Dept. of Electr. Eng., Nat. Chung Cheng Univ., Chiayi, Taiwan
Abstract :
Improving the driving safety is one major concern for the design of intelligent vehicles. In this paper, we present a monocular vision based driver assistance system for dangerous traffic warning. The video sequences captured from a single camera mounted behind the windshield are used for lane detection and front vehicle identification. Two basic modules, lane departure warning system (LDWS) and front collision warning system (FCWS), are developed and then integrated on an embedded DSP platform for automotive electronics applications. Error analysis on system installation is carried out to verify the correctness of measurements. Experimental results have demonstrated that the proposed technique is able to achieve 97% of accuracy on dangerous traffic warning while maintaining the real-time processing requirement.
Keywords :
automotive electronics; cameras; image sequences; road safety; video signal processing; FCWS; LDWS; automotive electronics application; driving safety; embedded DSP platform; error analysis; front collision warning system; front vehicle identification; intelligent vehicle design; lane departure warning system; monocular vision-based driver assistance system; real-time processing requirement; single-camera; system installation; traffic warning; video sequences; Accuracy; Alarm systems; Artificial intelligence; Calibration; Cameras; Safety; Vehicles; driver assistance; intelligent vehicle;
Conference_Titel :
Intelligent Signal Processing and Communications Systems (ISPACS), 2012 International Symposium on
Conference_Location :
New Taipei
Print_ISBN :
978-1-4673-5083-9
Electronic_ISBN :
978-1-4673-5081-5
DOI :
10.1109/ISPACS.2012.6473454