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Vision based driver interactive safety driving agent system

Title
Vision based driver interactive safety driving agent system
Authors
Choi, Hyun-ChulKim, Sam-YongOh, Se-YoungWon, Woong-Jae
DGIST Authors
Won, Woong-Jae
Issue Date
2007
Citation
11th IASTED International Conference on Artificial Intelligence and Soft Computing, ASC 2007, 267-273
Type
Conference
Article Type
Conference Paper
ISBN
9780889866935
Abstract
Most of ADAS (Advanced Driver Assistance Systems) have some drawbacks because they do not use all but only some parts of the information on Traffic environment-Vehicle-Driver (TVD). Recently, researches on making more efficient and effective assistant system by fusing all the information from TVD are being executed to overcome this limitation. As a part of this research, this paper focuses on decision-level fusion to estimate the driver's vigilance from the vision information of traffic environment and driver state. The driver state is defined as the tracked gazing direction and face feature points of the driver which is obtained by using the Adaboost face detector and Active Appearance Model (AAM). The state of traffic environment is defined as lane-off or collision from the information of the vehicle's forward area, i.e., lanes, vehicles, and ego-motion. Warnings for lane-off, collision, and driver inattention are generated by fusing these in and out vehicle vision information.
URI
http://hdl.handle.net/20.500.11750/4009
Publisher
ACTA Press
Files:
There are no files associated with this item.
Collection:
ETC2. Conference Papers


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