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DRIVING ENVIRONMENT ASSESSMENT USING FUSION OF IN- AND OUT-OF-VEHICLE VISION SYSTEMS

Title
DRIVING ENVIRONMENT ASSESSMENT USING FUSION OF IN- AND OUT-OF-VEHICLE VISION SYSTEMS
Authors
Kim, S. Y.Choi, H. C.Won, Woong JaeOh, S. Y.
Issue Date
2009-02
Citation
International Journal of Automotive Technology, 10(1), 103-113
Type
Article
Article Type
Article
Keywords
Driver Assistance SystemsActive Appearance ModelsIntegrated DriverRoad SceneIntelligentSafety
ISSN
1229-9138
Abstract
Because the overall driving environment consists of a complex combination of the traffic Environment, Vehicle, and Driver (EVD), Advanced Driver Assistance Systems (ADAS) must consider not only events from each component of the EVD but also the interactions between them. Although previous researchers focused on the fusion of the states from the EVD (EVD states), they estimated and fused the simple EVD states for a single function system such as the lane change intent analysis. To overcome the current limitations, first, this paper defines the EVD states as driver's gazing region, time to lane crossing, and time to collision. These states are estimated by enhanced detection and tracking methods from in- and out-of-vehicle vision systems. Second, it proposes a long-term prediction method of the EVD states using a time delayed neural network to fuse these states and a fuzzy inference system to assess the driving situation. When tested with real driving data, our system reduced false environment assessments and provided accurate lane departure, vehicle collision, and visual inattention warning signals. © 2009 The Korean Society of Automotive Engineers and Springer-Verlag Berlin Heidelberg GmbH.
URI
http://hdl.handle.net/20.500.11750/6514
DOI
10.1007/s12239-008-0013-5
Publisher
KOREAN SOC AUTOMOTIVE ENGINEERS-KSAE
Files:
There are no files associated with this item.
Collection:
ETC1. Journal Articles


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