DocumentCode
2945365
Title
A Sign Reading Driver Assistance System Using Eye Gaze
Author
Fletcher, Luke ; Petersson, Lars ; Barnes, Nick ; Austin, David ; Zelinsky, Alexander
Author_Institution
Dept. Information Engineering, RSISE Australian National University Canberra, Australia; luke.fletcher@anu.edu.au
fYear
2005
fDate
18-22 April 2005
Firstpage
4655
Lastpage
4660
Abstract
Cars are becoming, in effect, a robotic system with an embedded human. It is not possible to know what the driver is thinking. We can, however, monitor their gaze and compare it with information in their view-field to make an inference. In this paper we present a complete system that reads speed signs in real-time, compares the driver gaze, and provides immediate feedback if the sign has been missed by the driver. This paper focuses on correlating measures of driver gaze direction with the position of signs in the road scene and improving recognition of signs through image enhancement.
Keywords
driver assistance; gaze; image enhancement; sign recognition; Feedback; Humans; Image enhancement; Image recognition; Layout; Monitoring; Position measurement; Real time systems; Roads; Robots; driver assistance; gaze; image enhancement; sign recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Robotics and Automation, 2005. ICRA 2005. Proceedings of the 2005 IEEE International Conference on
Print_ISBN
0-7803-8914-X
Type
conf
DOI
10.1109/ROBOT.2005.1570838
Filename
1570838
Link To Document