<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>1405-5546</journal-id>
<journal-title><![CDATA[Computación y Sistemas]]></journal-title>
<abbrev-journal-title><![CDATA[Comp. y Sist.]]></abbrev-journal-title>
<issn>1405-5546</issn>
<publisher>
<publisher-name><![CDATA[Instituto Politécnico Nacional, Centro de Investigación en Computación]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1405-55462023000300643</article-id>
<article-id pub-id-type="doi">10.13053/cys-27-3-4508</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Automatic Detection of Vehicular Traffic Elements based on Deep Learning for Advanced Driving Assistance Systems]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Cleofas-Sánchez]]></surname>
<given-names><![CDATA[Laura]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Posadas-Durán]]></surname>
<given-names><![CDATA[Juan Pablo Francisco]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Martínez-Ortiz]]></surname>
<given-names><![CDATA[Pedro]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Loyo-Desiderio]]></surname>
<given-names><![CDATA[Gilberto]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Ruvalcaba-Hernández]]></surname>
<given-names><![CDATA[Eduardo Alberto]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[González Brito]]></surname>
<given-names><![CDATA[Omar]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Tecnológico de Estudios Superiores de Tianguistenco  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Mexico</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Instituto Politécnico Nacional Escuela Superior de Ingeniería Mecánica y Eléctrica ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Mexico</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>09</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>09</month>
<year>2023</year>
</pub-date>
<volume>27</volume>
<numero>3</numero>
<fpage>643</fpage>
<lpage>651</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S1405-55462023000300643&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S1405-55462023000300643&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S1405-55462023000300643&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract: This paper presents a prototype of an automobile driver assistance system based on YOLOv3. The system detects car types, traffic signs, and traffic lights in real-time and warns the driver accordingly. In the learning phase of the YOLO algorithm, the standard weights are learned first, followed by transfer learning to the objects of interest. The retraining phase uses 2,800 images obtained from the Internet of three countries of the real-life, and the testing phase uses real-time videos of Mexico City roads. In the validation phase, the proposed system achieves 95%, 37%, and 40% performance on the compiled dataset for the detection of road elements. The results obtained are comparable and in some cases better than those reported in previous works. Using a Raspberry Pi 4, the prototype was tested in real-life, generating visual and audible warnings for the driver, with an object recognition rate of 0.4 fps. A mean average precision (mAP) of 53% was reached by the proposed system. The experiments showed that the prototype achieved a poor recognition rate and required high computational processing for object recognition. However, YOLO is a model that can have good performance on low-resource hardware.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[YOLOv3]]></kwd>
<kwd lng="en"><![CDATA[automobile detection assistance]]></kwd>
<kwd lng="en"><![CDATA[object recognition]]></kwd>
<kwd lng="en"><![CDATA[deep learning]]></kwd>
</kwd-group>
</article-meta>
</front><back>
<ref-list>
<ref id="B1">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Ayachi]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Afif]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Said]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Atri]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Traffic signs detection for real-world application of an advanced driving assisting system using deep learning]]></article-title>
<source><![CDATA[Neural Processing Letters]]></source>
<year>2019</year>
<volume>51</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>837-51</page-range></nlm-citation>
</ref>
<ref id="B2">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Bogdoll]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Orf]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Töttel]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Zöllner]]></surname>
<given-names><![CDATA[J. M.]]></given-names>
</name>
</person-group>
<source><![CDATA[Taxonomy and survey on remote human input systems for driving automation systems]]></source>
<year>2022</year>
<page-range>94-108</page-range><publisher-name><![CDATA[Springer International Publishing]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B3">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Ha]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[Chen]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Du]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Dong]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Li]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Labi]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Vehicle connectivity and automation: A sibling relationship]]></article-title>
<source><![CDATA[Frontiers in Built Environment]]></source>
<year>2020</year>
<volume>6</volume>
</nlm-citation>
</ref>
<ref id="B4">
<nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Jia]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Shelhamer]]></surname>
<given-names><![CDATA[E.]]></given-names>
</name>
<name>
<surname><![CDATA[Donahue]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Karayev]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Long]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Girshick]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Guadarrama]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Darrell]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
</person-group>
<source><![CDATA[Caffe: Convolutional architecture for fast feature embedding]]></source>
<year>2014</year>
</nlm-citation>
</ref>
<ref id="B5">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Kumar Kukkala]]></surname>
<given-names><![CDATA[V.]]></given-names>
</name>
<name>
<surname><![CDATA[Tunnell]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Pasricha]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Bradley]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Advanced driver-assistance systems: A path toward autonomous vehicles]]></article-title>
<source><![CDATA[IEEE Consumer Electronics Magazine]]></source>
<year>2018</year>
<volume>7</volume>
<numero>5</numero>
<issue>5</issue>
<page-range>18-25</page-range></nlm-citation>
</ref>
<ref id="B6">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Lin]]></surname>
<given-names><![CDATA[H. Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Dai]]></surname>
<given-names><![CDATA[J. M.]]></given-names>
</name>
<name>
<surname><![CDATA[Wu]]></surname>
<given-names><![CDATA[L. T.]]></given-names>
</name>
<name>
<surname><![CDATA[Chen]]></surname>
<given-names><![CDATA[L. Q.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A vision-based driver assistance system with forward collision and overtaking detection]]></article-title>
<source><![CDATA[Sensors]]></source>
<year>2020</year>
<volume>20</volume>
<numero>18</numero>
<issue>18</issue>
<page-range>5139</page-range></nlm-citation>
</ref>
<ref id="B7">
<nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Maksymova]]></surname>
<given-names><![CDATA[I.]]></given-names>
</name>
<name>
<surname><![CDATA[Greiner]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[Steger]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Niedermueller]]></surname>
<given-names><![CDATA[L. C.]]></given-names>
</name>
<name>
<surname><![CDATA[Druml]]></surname>
<given-names><![CDATA[N.]]></given-names>
</name>
</person-group>
<source><![CDATA[Adaptive MEMS mirror control for reliable automotive driving assistance applications]]></source>
<year>2020</year>
<conf-name><![CDATA[ 23rd Euromicro Conference on Digital System Design (DSD)]]></conf-name>
<conf-loc> </conf-loc>
</nlm-citation>
</ref>
<ref id="B8">
<nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Mostafa]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Ghantous]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
</person-group>
<source><![CDATA[A YOLO based approach for traffic light recognition for ADAS systems]]></source>
<year>2022</year>
<conf-name><![CDATA[ 2nd International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC)]]></conf-name>
<conf-loc> </conf-loc>
</nlm-citation>
</ref>
<ref id="B9">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Neelam Jaikishore]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Podaturpet Arunkumar]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Jagannathan Srinath]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Vamsi]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Srinivasan]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
<name>
<surname><![CDATA[Karthik Ramesh]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Jayaraman]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
<name>
<surname><![CDATA[Ramachandran]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Implementation of deep learning algorithm on a custom dataset for advanced driver assistance systems applications]]></article-title>
<source><![CDATA[Applied Sciences]]></source>
<year>2022</year>
<volume>12</volume>
<numero>18</numero>
<issue>18</issue>
<page-range>8927</page-range></nlm-citation>
</ref>
<ref id="B10">
<nlm-citation citation-type="book">
<collab>Pan American Health Organization</collab>
<source><![CDATA[Status of road safety in the region of the Americas]]></source>
<year>2019</year>
<publisher-name><![CDATA[Pan American Health Org]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B11">
<nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Raviteja]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Shanmughasundaram]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
</person-group>
<source><![CDATA[Advanced driver assitance system (ADAS)]]></source>
<year>2018</year>
<conf-name><![CDATA[ Second International Conference on Intelligent Computing and Control Systems]]></conf-name>
<conf-loc> </conf-loc>
<page-range>737-40</page-range></nlm-citation>
</ref>
<ref id="B12">
<nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Redmon]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
</person-group>
<source><![CDATA[Darknet: Open source neural networks in c]]></source>
<year>2016</year>
</nlm-citation>
</ref>
<ref id="B13">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Ross]]></surname>
<given-names><![CDATA[H. L.]]></given-names>
</name>
</person-group>
<source><![CDATA[Safety for future transport and mobility]]></source>
<year>2021</year>
<publisher-name><![CDATA[Springer]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B14">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Sligar]]></surname>
<given-names><![CDATA[A. P.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Machine learning-based radar perception for autonomous vehicles using full physics simulation]]></article-title>
<source><![CDATA[IEEE Access]]></source>
<year>2020</year>
<volume>8</volume>
<page-range>51470-6</page-range></nlm-citation>
</ref>
<ref id="B15">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Sun]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Petropulu]]></surname>
<given-names><![CDATA[A. P.]]></given-names>
</name>
<name>
<surname><![CDATA[Poor]]></surname>
<given-names><![CDATA[H. V.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[MIMO radar for advanced driver-assistance systems and autonomous driving: Advantages and challenges]]></article-title>
<source><![CDATA[IEEE Signal Processing Magazine]]></source>
<year>2020</year>
<volume>37</volume>
<numero>4</numero>
<issue>4</issue>
<page-range>98-117</page-range></nlm-citation>
</ref>
<ref id="B16">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Wan]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Ding]]></surname>
<given-names><![CDATA[W.]]></given-names>
</name>
<name>
<surname><![CDATA[Zhu]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Xia]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Huang]]></surname>
<given-names><![CDATA[Z.]]></given-names>
</name>
<name>
<surname><![CDATA[Tian]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Zhu]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Wang]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[An efficient small traffic sign detection method based on YOLOv3]]></article-title>
<source><![CDATA[Journal of Signal Processing Systems]]></source>
<year>2020</year>
<volume>93</volume>
<numero>8</numero>
<issue>8</issue>
<page-range>899-911</page-range></nlm-citation>
</ref>
<ref id="B17">
<nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Wang]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
</person-group>
<source><![CDATA[Phd forum: Real-time lane-vehicle detection for advanced driver assistance on mobile devices]]></source>
<year>2017</year>
<conf-name><![CDATA[ IEEE International Conference on Smart Computing]]></conf-name>
<conf-loc> </conf-loc>
<page-range>1-2</page-range></nlm-citation>
</ref>
<ref id="B18">
<nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Wijaya]]></surname>
<given-names><![CDATA[K. T.]]></given-names>
</name>
<name>
<surname><![CDATA[Bharoto]]></surname>
<given-names><![CDATA[L. Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Purwanto]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Syamsuddin]]></surname>
<given-names><![CDATA[E. Y.]]></given-names>
</name>
</person-group>
<source><![CDATA[Vision-based parking assist system with bird-eye surround vision for reverse bay parking maneuver recommendation]]></source>
<year>2020</year>
<conf-name><![CDATA[ International Electronics Symposium]]></conf-name>
<conf-loc> </conf-loc>
<page-range>102-7</page-range></nlm-citation>
</ref>
<ref id="B19">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Zhang]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Huang]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Jin]]></surname>
<given-names><![CDATA[X.]]></given-names>
</name>
<name>
<surname><![CDATA[Li]]></surname>
<given-names><![CDATA[X.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A real-time chinese traffic sign detection algorithm based on modified YOLOv2]]></article-title>
<source><![CDATA[Algorithms]]></source>
<year>2017</year>
<volume>10</volume>
<numero>4</numero>
<issue>4</issue>
<page-range>127</page-range></nlm-citation>
</ref>
<ref id="B20">
<nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Ziebinski]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Cupek]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Grzechca]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Chruszczyk]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
</person-group>
<source><![CDATA[Review of advanced driver assistance systems (ADAS)]]></source>
<year>2017</year>
<volume>1906</volume>
<numero>1</numero>
<conf-name><![CDATA[ AIP Conference Proceedings]]></conf-name>
<conf-loc> </conf-loc>
<issue>1</issue>
<page-range>120002</page-range></nlm-citation>
</ref>
<ref id="B21">
<nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Zornoza Somolinos]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<source><![CDATA[Vehículos automatizados y seguro obligatorio de automóviles: Estudio de derecho comparado]]></source>
<year>2021</year>
<page-range>1-273</page-range></nlm-citation>
</ref>
</ref-list>
</back>
</article>
