Driver assistance system for lane detection and vehicle recognition with night vision
Resource
Intelligent Robots and Systems, 2005. (IROS 2005). 2005 IEEE/RSJ International Conference on
Journal
2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS
Pages
3530-3535
Date Issued
2005
Author(s)
Abstract
The objective of this research is to develop a vision-based driver assistance system to enhance the driver's safety in the nighttime. The proposed system performs both lane detection and vehicle recognition. In lane detection, three features including lane markers, brightness, slenderness and proximity are applied to detect the positions of lane markers in the image. On the other hand, vehicle recognition is achieved by using an evident feature which are extracted through three four steps: taillight standing-out process, adaptive thresholding, centroid detection, and taillight pairing algorithm. Besides, an automatic method is also provided to calculate the tilt and the pan of the camera by using the position of vanishing point which is detected in the image by applying Canny edge detection, Hough transform, major straight line extraction and vanishing point estimation. Experimental results for thousands of images are provided to demonstrate the effectiveness of the proposed approach in the nighttime. The lane detection rate is nearly 99%, and the vehicle recognition rate is about 91%. Furthermore, our system can process the image in almost real time. © 2005 IEEE.
Other Subjects
Driver assistance system; Lane detection; Night vision; Vanishing point detection; Vehicle recognition
Automobile drivers; Edge detection; Feature extraction; Hough transforms; Image processing; Intelligent robots; Vehicles; Vision; Driver assistance system; Lane detection; Night vision; Vanishing point detection; Vehicle recognition; Night vision devices
Type
conference paper
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