Panoramic stitching for driver assistance and applications to motion saliency-based risk analysis
Cameras can provide the capability for surround vehicle analysis and intuitive visualization for driver support in critical situations. As salient objects can be distributed anywhere around the vehicle, a wide view of the surround has many benefits for studying driver behavior in a holistic manner, as well as developing effective driver assistance systems. In this work, the authors are concerned with the hardware setup and calibration needed to provide such stitched views. In particular, views with large translation differences, many moving objects, and large changes in brightness are handled. The authors show the qualitative effects of calibration scene and camera orientation on common stitching algorithms. Finally, the authors analyze the stitched view for salient objects to detect critical events.
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Availability:
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Supplemental Notes:
- Abstract reprinted with permission of IEEE.
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Corporate Authors:
Institute of Electrical and Electronics Engineers (IEEE)
3 Park Avenue, 17th Floor
New York, NY United States 10016-5997 -
Authors:
- Ramirez, A
- Ohn-Bar, Eshed
- Trivedi, M
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Conference:
- 16th International IEEE Conference on Intelligent Transportation Systems (ITSC)
- Location: The Hague , Netherlands
- Date: 2013-10-6 to 2013-10-9
- Publication Date: 2013-10
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 597-601
- Monograph Title: 16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013)
Subject/Index Terms
- TRT Terms: Behavior; Calibration; Cameras; Computers; Drivers; Image analysis; Image processing; Intelligent vehicles
- Subject Areas: Highways; Safety and Human Factors; Vehicles and Equipment; I91: Vehicle Design and Safety;
Filing Info
- Accession Number: 01563411
- Record Type: Publication
- ISBN: 9781479929146
- Files: TRIS
- Created Date: May 18 2015 11:03AM