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

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-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 languageAmerican English
Title of host publication2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005 - Workshops
PublisherIEEE Computer Society
ISBN (Electronic)0769526608
DOIs
StatePublished - 2005
Event2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005 - Workshops - San Diego, United States
Duration: 21 Sep 200523 Sep 2005

Publication series

NameIEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
Volume2005-September
ISSN (Print)2160-7508
ISSN (Electronic)2160-7516

Conference

Conference2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005 - Workshops
Country/TerritoryUnited States
CitySan Diego
Period21/09/0523/09/05

Bibliographical note

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

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