A computer vision system on a chip: A case study from the automotive domain

Gideon P. Stein; Elchanan Rushinek; Gaby Hayun; Amnon Shashua

doi:10.1109/CVPR.2005.387

A computer vision system on a chip: A case study from the automotive domain

Gideon P. Stein, Elchanan Rushinek, Gaby Hayun, Amnon Shashua

The Rachel and Selim Benin School of Engineering and Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

56 Scopus citations

Abstract

The automotive market puts strict and often conflicting requirements on computer vision systems. On the one hand the algorithms require considerable computing power to work reliably in real-time and under a wide range of lighting conditions. On the other hand, the cost must be kept low, the package size must be small and the power consumption must be low. In addition, automotive qualified parts must be used both to withstand the harsh operating environment and to guarantee long product life. To meet all these conflicting requirements Mobileye developed the EyeQ, a complete'system on a chip' (SoC) which has the computing power to support a variety of applications such as lane, vehicle and pedestrian detection. This paper describes the process of designing an ASIC to support a family of vision algorithms.

Original language	English
Title of host publication	2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005 - Workshops
Publisher	IEEE Computer Society
ISBN (Electronic)	0769526608
DOIs	https://doi.org/10.1109/CVPR.2005.387
State	Published - 2005
Event	2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005 - Workshops - San Diego, United States Duration: 21 Sep 2005 → 23 Sep 2005

Publication series

Name	IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
Volume	2005-September
ISSN (Print)	2160-7508
ISSN (Electronic)	2160-7516

Conference

Conference	2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005 - Workshops
Country/Territory	United States
City	San Diego
Period	21/09/05 → 23/09/05

Bibliographical note

Publisher Copyright:
© 2005 IEEE Computer Society. All rights reserved.

Access to Document

10.1109/CVPR.2005.387

Cite this

Stein, G. P., Rushinek, E., Hayun, G., & Shashua, A. (2005). A computer vision system on a chip: A case study from the automotive domain. In 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005 - Workshops (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops; Vol. 2005-September). IEEE Computer Society. https://doi.org/10.1109/CVPR.2005.387

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Stein, GP, Rushinek, E, Hayun, G & Shashua, A 2005, A computer vision system on a chip: A case study from the automotive domain. in 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005 - Workshops. IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, vol. 2005-September, IEEE Computer Society, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005 - Workshops, San Diego, United States, 21/09/05. https://doi.org/10.1109/CVPR.2005.387

A computer vision system on a chip: A case study from the automotive domain. / Stein, Gideon P.; Rushinek, Elchanan; Hayun, Gaby et al.
2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005 - Workshops. IEEE Computer Society, 2005. (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops; Vol. 2005-September).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Stein GP, Rushinek E, Hayun G, Shashua A. A computer vision system on a chip: A case study from the automotive domain. In 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005 - Workshops. IEEE Computer Society. 2005. (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops). doi: 10.1109/CVPR.2005.387

A computer vision system on a chip: A case study from the automotive domain

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