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Impact of circuit-level non-idealities on vision-based autonomous driving systems

Publication ,  Conference
Yu, H; Yan, C; Zeng, X; Li, X
Published in: IEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers, ICCAD
December 13, 2017

We describe a novel methodology to validate vision-based autonomous driving systems over different circuit corners with consideration of temperature variation and circuit aging. The proposed work is motivated by the fact that low-level circuit implementation may have a significant impact on system performance, even though such effects have not been appropriately taken into account today. Our approach seamlessly integrates the image data recorded under nominal conditions with comprehensive statistical circuit models to synthetically generate the critical corner cases for which an autonomous driving system is likely to fail. As such, a given automotive system can be robustly validated for these worst-case scenarios that cannot be easily captured by physical experiments.

Duke Scholars

Published In

IEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers, ICCAD

DOI

ISSN

1092-3152

Publication Date

December 13, 2017

Volume

2017-November

Start / End Page

976 / 983
 

Citation

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MLA
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Yu, H., Yan, C., Zeng, X., & Li, X. (2017). Impact of circuit-level non-idealities on vision-based autonomous driving systems. In IEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers, ICCAD (Vol. 2017-November, pp. 976–983). https://doi.org/10.1109/ICCAD.2017.8203887
Yu, H., C. Yan, X. Zeng, and X. Li. “Impact of circuit-level non-idealities on vision-based autonomous driving systems.” In IEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers, ICCAD, 2017-November:976–83, 2017. https://doi.org/10.1109/ICCAD.2017.8203887.
Yu H, Yan C, Zeng X, Li X. Impact of circuit-level non-idealities on vision-based autonomous driving systems. In: IEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers, ICCAD. 2017. p. 976–83.
Yu, H., et al. “Impact of circuit-level non-idealities on vision-based autonomous driving systems.” IEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers, ICCAD, vol. 2017-November, 2017, pp. 976–83. Scopus, doi:10.1109/ICCAD.2017.8203887.
Yu H, Yan C, Zeng X, Li X. Impact of circuit-level non-idealities on vision-based autonomous driving systems. IEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers, ICCAD. 2017. p. 976–983.

Published In

IEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers, ICCAD

DOI

ISSN

1092-3152

Publication Date

December 13, 2017

Volume

2017-November

Start / End Page

976 / 983