Approximation Trade Offs in an Image-Based Control System

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

4 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication2020 Design, Automation and Test in Europe Conference and Exhibition (DATE)
EditorsGiorgio Di Natale, Cristiana Bolchini, Elena-Ioana Vatajelu
PublisherInstitute of Electrical and Electronics Engineers
Pages1680-1685
Number of pages6
ISBN (Electronic)9783981926347
DOIs
Publication statusPublished - 15 Jun 2020
Event23rd Design, Automation and Test in Europe Conference and Exhibition (DATE 2020) - Grenoble, France
Duration: 9 Mar 202013 Mar 2020
Conference number: 23

Conference

Conference23rd Design, Automation and Test in Europe Conference and Exhibition (DATE 2020)
Abbreviated titleDATE 2020
Country/TerritoryFrance
CityGrenoble
Period9/03/2013/03/20

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