The challenge of putting vision algorithms into a car

IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops

Volumn , Issue , 2012, Pages 89-94

  Stein, Fridtjof ^a  

^a DAIMLER AG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ASSISTANCE SYSTEM; ATMOSPHERIC DISTURBANCE; BUILDING BLOCKES; CAMERA SYSTEMS; CAR INDUSTRY; DEVELOPMENT PROCESS; ENVIRONMENTAL CONDITIONS; FUTURE DRIVER ASSISTANCE SYSTEMS; HARDWARE RESOURCES; LOW LIGHT; MACHINE VISION ALGORITHM; TOUGH CONSTRAINT; VISION ALGORITHMS;

AUTOMOTIVE INDUSTRY; ENERGY UTILIZATION;

COMPUTER VISION;

EID: 84864987007     PISSN: 21607508     EISSN: 21607516     Source Type: Conference Proceeding    
DOI: 10.1109/CVPRW.2012.6238900     Document Type: Conference Paper

References (5)

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2. S. Gehrig, F. Eberli, and T. Meyer. A real-time low-power stereo vision engine using semi-global matching. In International Conference on Computer Vision, Liege, Belgium, October 2009.
3. N. D. of Motor Vehicles. Autonomous vehicles. http://www.dmvnv.com/ autonomous.htm, Feb. 2012.
4. F. Stein. Efficient computation of the optical flow using the census transform. In 26th DAGM Symposium on Pattern Recognition, Tuebingen, August 2004. Springer-Verlag Berlin Heidelberg.
5. Xilinx. Zynq-7000 extensible processing platform. http://www.xilinx.com/ products/silicon-devices/epp/zynq-7000/index.htm, 2012.