Title :
Vision Assisted Active Safety System for Vehicles on the Highway
Author :
Chuan-Chun Ku ; Chung-Ping Young ; Chih-Hung Lin
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan
Abstract :
Active safety is an important feature of a modern vehicle to provide precautions, warnings or compensatory control before the pre-crash stage of vehicle safety. This paper introduces a vision-based automatic system to detect lane changing and car distance, which use a CCD Camera to capture the vehicle and road image on a PAC DSP board. The algorithm uses multiple image features, such as edges, gradient, vehicle symmetry property, and Hough Transform to detect the Vanishing Point. Some experimental results based on real world video images have been presented, these seem to indicate that the algorithm is capable of identifying a front vehicle and estimating its distance from the host vehicle.
Keywords :
CCD image sensors; computer vision; feature extraction; object detection; road safety; road traffic; traffic engineering computing; video signal processing; CCD camera; Hough transform; car distance detection; charge-coupled device camera; highway; image features; lane changing detection; vanishing point detection; vehicle safety; video images; vision assisted active safety system; vision-based automatic system; Cameras; Logic gates; Roads; Safety; Sensors; Transforms; Vehicles; Lane Detection; Multi-sensor; Vehicle Detection;
Conference_Titel :
Intelligent Information Hiding and Multimedia Signal Processing, 2013 Ninth International Conference on
Conference_Location :
Beijing
DOI :
10.1109/IIH-MSP.2013.127