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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Cuong Tran Trivedi, M.M. |
| Copyright Year | 2010 |
| Description | Author affiliation: LISA: Laboratory for Safe and Intelligent Automobiles, University of California at San Diego, USA (Cuong Tran; Trivedi, M.M.) |
| Abstract | Driver's body posture in 3D contains information potentially related to driver intent, driver affective state, and driver distraction. In this paper, we discuss issues and possibilities in developing a vision-based, markerless system to systematically explore the role of 3D driver posture dynamics for driver assistance. At high level, two main emphases in the proposed system are: (i) The coordination between real world driving testbed and simulation environment and (ii) The usefulness of driver posture dynamics is studied not only as an individual cue but also in relation with other contextual information (e.g. head dynamics, facial features, and vehicle dynamics). Some initial results in our experiment following these guidelines show the feasibility and promise of extracting and using 3D driver posture dynamics for driver assistance. |
| Starting Page | 179 |
| Ending Page | 184 |
| File Size | 1329964 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424478668 |
| ISSN | 19310587 |
| e-ISBN | 9781424478682 |
| DOI | 10.1109/IVS.2010.5547957 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-06-21 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Vehicle dynamics Intelligent sensors Intelligent vehicles Context modeling Facial features Humans Biosensors Sensor systems Road vehicles Vehicle driving |
| Content Type | Text |
| Resource Type | Article |
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