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Developing Integrated Vision Applications for Active Safety Systems
Technical Paper
2009-01-0158
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
Current image-processing solutions are limited with respect to being simultaneously flexible, scalable, high-performing and efficient. As vision-based safety systems increase in functionality and become more widely adopted, system makers will require flexible and scalable solutions to accommodate the needs of an expanding market. To support the highly complex embedded automotive vision systems of the future, therefore, engineers are now turning to dedicated vision processors in place of standard off-the-shelf solutions.
This paper will describe how to develop highly integrated image processing systems for active safety applications using the unique capabilities of a highly parallel, reconfigurable SIMD-MIMD processor architecture that offers the ability to handle both single- and multi-core designs. This architecture will enable safety systems to execute multiple applications simultaneously to provide more comprehensive driver assistance information. Several sensor sources will be discussed, including radar, vision, light detection and ranging (LIDAR), in addition to common advanced safety applications such as lane tracking and obstacle detection. The paper will also describe how the reconfigurable architecture allows for more robust and efficient algorithm development, as the unique performance of the SIMD-MIMD architecture supports real-time processing of images even when using highly complex algorithms.
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Authors
Citation
Prengler, A., "Developing Integrated Vision Applications for Active Safety Systems," SAE Technical Paper 2009-01-0158, 2009, https://doi.org/10.4271/2009-01-0158.Also In
References
- Ankrum, D.R. 1992 "Smart Vehicles, Smart Roads" Traffic Safety 92 3 6 9
- Imou, K. Ishida, M. Kaizu, Y. Okamoto, T. Sawamura, and A. Sumida. N. “Ultrasonic Doppler Sensor for Measuring Vehicle Speed in Forward and Reverse Motions Including Low-Speed Motions” Agricultural Engineering International: the CIGR Journal of Scientific Research and Development. Manuscript PM 01 007 III
- Strategy Analytics Automotive Electronics Strategy Advisory Service 2008 System Demand 2006 to 2015
- U.S. Department of Transportation (DOT) National Highway Traffic Safety Administration (NHTSA) 2008 New Car Assessment Program (model year 2010), docket no. NHTSA-2006-26555
- U.S. Department of Transportation (DOT) National Highway Traffic Safety Administration (NHTSA) 2008 Motor Vehicle Traffic Crash Fatality Counts and Estimates of People Injured for 2007 Based on the Fatality Analysis Reporting System (FARS) and the National Automotive Sampling System, General Estimates System (NASS GES). DOT-HS-811-034
- U.S. Department of Transportation (DOT) Research and Innovative Technology Administration, Bureau of Transportation Statistics 2008 National Transporta-tion Statistics