Optimizing Deep-Neural-Network-Driven Autonomous Race Car Using Image Scaling

Optimizing Deep-Neural-Network-Driven Autonomous Race Car Using Image Scaling

In this work we propose scaling down the image resolution of an autonomous vehicle and measuring the performance difference using pre-determined metrics. We formulated a testing strategy and provided suitable testing metrics for RC driven autonomous vehicles. Our goal is to measure and prove that sc...

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Main Authors: Mahmoud Yaqub, Okuyama Yuichi, Fukuchi Tomohide, Kosuke Tanaka, Ando Iori
Format: Article
Language:English
Published: EDP Sciences 2020-01-01
Series:SHS Web of Conferences
Online Access:https://www.shs-conferences.org/articles/shsconf/pdf/2020/05/shsconf_etltc2020_04002.pdf
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spelling doaj-bac93fc35dd64639a410900d3fae63ea2021-04-02T18:05:31ZengEDP SciencesSHS Web of Conferences2261-24242020-01-01770400210.1051/shsconf/20207704002shsconf_etltc2020_04002Optimizing Deep-Neural-Network-Driven Autonomous Race Car Using Image ScalingMahmoud Yaqub0Okuyama Yuichi1Fukuchi Tomohide2Kosuke Tanaka3Ando Iori4School of Computer Science and Engineering, The University of AizuSchool of Computer Science and Engineering, The University of AizuSchool of Computer Science and Engineering, The University of AizuSchool of Computer Science and Engineering, The University of AizuSchool of Computer Science and Engineering, The University of AizuIn this work we propose scaling down the image resolution of an autonomous vehicle and measuring the performance difference using pre-determined metrics. We formulated a testing strategy and provided suitable testing metrics for RC driven autonomous vehicles. Our goal is to measure and prove that scaling down an image will result in faster response time and higher speeds. Our model shows an increase in response rate of the neural models, improving safety and results in the car having higher speeds.https://www.shs-conferences.org/articles/shsconf/pdf/2020/05/shsconf_etltc2020_04002.pdf
collection DOAJ
language English
format Article
sources DOAJ
author Mahmoud Yaqub
Okuyama Yuichi
Fukuchi Tomohide
Kosuke Tanaka
Ando Iori
spellingShingle Mahmoud Yaqub
Okuyama Yuichi
Fukuchi Tomohide
Kosuke Tanaka
Ando Iori
Optimizing Deep-Neural-Network-Driven Autonomous Race Car Using Image Scaling
SHS Web of Conferences
author_facet Mahmoud Yaqub
Okuyama Yuichi
Fukuchi Tomohide
Kosuke Tanaka
Ando Iori
author_sort Mahmoud Yaqub
title Optimizing Deep-Neural-Network-Driven Autonomous Race Car Using Image Scaling
title_short Optimizing Deep-Neural-Network-Driven Autonomous Race Car Using Image Scaling
title_full Optimizing Deep-Neural-Network-Driven Autonomous Race Car Using Image Scaling
title_fullStr Optimizing Deep-Neural-Network-Driven Autonomous Race Car Using Image Scaling
title_full_unstemmed Optimizing Deep-Neural-Network-Driven Autonomous Race Car Using Image Scaling
title_sort optimizing deep-neural-network-driven autonomous race car using image scaling
publisher EDP Sciences
series SHS Web of Conferences
issn 2261-2424
publishDate 2020-01-01
description In this work we propose scaling down the image resolution of an autonomous vehicle and measuring the performance difference using pre-determined metrics. We formulated a testing strategy and provided suitable testing metrics for RC driven autonomous vehicles. Our goal is to measure and prove that scaling down an image will result in faster response time and higher speeds. Our model shows an increase in response rate of the neural models, improving safety and results in the car having higher speeds.
url https://www.shs-conferences.org/articles/shsconf/pdf/2020/05/shsconf_etltc2020_04002.pdf
work_keys_str_mv AT mahmoudyaqub optimizingdeepneuralnetworkdrivenautonomousracecarusingimagescaling
AT okuyamayuichi optimizingdeepneuralnetworkdrivenautonomousracecarusingimagescaling
AT fukuchitomohide optimizingdeepneuralnetworkdrivenautonomousracecarusingimagescaling
AT kosuketanaka optimizingdeepneuralnetworkdrivenautonomousracecarusingimagescaling
AT andoiori optimizingdeepneuralnetworkdrivenautonomousracecarusingimagescaling
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