Approximation Trade Offs in an Image-Based Control System

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

1 Citaat (Scopus)

Samenvatting

Image-based control (IBC) systems use camera sensor(s) to perceive the environment. The inherent compute-heavy nature of image processing causes long processing delay that negatively influences the performance of the IBC systems. Our idea is to reduce the long delay using coarse-grained approximation of the image signal processing pipeline without affecting the functionality and performance of the IBC system. The question is: how is the degree of approximation related to the closed-loop quality-of-control (QoC), memory utilization and energy consumption? We present a software-in-the-loop (SiL) evaluation framework for the above approximation-in-the-loop system. We identify the error resilient stages and the corresponding coarse-grained approximation settings for the IBC system. We perform trade off analysis between the QoC, memory utilisation and energy consumption for varying degrees of coarse-grained approximation. We demonstrate the effectiveness of our approach using a concrete case study of a lane keeping assist system (LKAS). We obtain energy and memory reduction of upto 84% and 29% respectively, for 28% QoC improvements.

Originele taal-2Engels
TitelProceedings of the 2020 Design, Automation and Test in Europe Conference and Exhibition, DATE 2020
RedacteurenGiorgio Di Natale, Cristiana Bolchini, Elena-Ioana Vatajelu
UitgeverijInstitute of Electrical and Electronics Engineers
Pagina's1680-1685
Aantal pagina's6
ISBN van elektronische versie9783981926347
DOI's
StatusGepubliceerd - mrt 2020
Evenement2020 Design, Automation and Test in Europe Conference and Exhibition, DATE 2020 - Grenoble, Frankrijk
Duur: 9 mrt 202013 mrt 2020

Congres

Congres2020 Design, Automation and Test in Europe Conference and Exhibition, DATE 2020
LandFrankrijk
StadGrenoble
Periode9/03/2013/03/20

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