A Systematic Literature Review About the Impact of Artificial Intelligence on Autonomous Vehicle Safety
Autonomous Vehicles (AV) are expected to bring considerable benefits to society, such as traffic optimization and accidents reduction. They rely heavily on advances in many Artificial Intelligence (AI) approaches and techniques. However, while some researchers in this field believe AI is the core el...
Gespeichert in:
| Veröffentlicht in: | IEEE transactions on intelligent transportation systems 2020-12, Vol.21 (12), p.4928-4946 |
|---|---|
| Hauptverfasser: | , , , , , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext bestellen |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 4946 |
|---|---|
| container_issue | 12 |
| container_start_page | 4928 |
| container_title | IEEE transactions on intelligent transportation systems |
| container_volume | 21 |
| creator | Nascimento, Alexandre Moreira Vismari, Lucio Flavio Molina, Caroline Bianca Santos Tancredi Cugnasca, Paulo Sergio Camargo, Joao Batista Almeida, Jorge Rady de Inam, Rafia Fersman, Elena Marquezini, Maria Valeria Hata, Alberto Yukinobu |
| description | Autonomous Vehicles (AV) are expected to bring considerable benefits to society, such as traffic optimization and accidents reduction. They rely heavily on advances in many Artificial Intelligence (AI) approaches and techniques. However, while some researchers in this field believe AI is the core element to enhance safety, others believe AI imposes new challenges to assure the safety of these new AI-based systems and applications. In this non-convergent context, this paper presents a systematic literature review to paint a clear picture of the state of the art of the literature in AI on AV safety. Based on an initial sample of 4870 retrieved papers, 59 studies were selected as the result of the selection criteria detailed in the paper. The shortlisted studies were then mapped into six categories to answer the proposed research questions. An AV system model was proposed and applied to orient the discussions about the SLR findings. As a main result, we have reinforced our preliminary observation about the necessity of considering a serious safety agenda for the future studies on AI-based AV systems. |
| doi_str_mv | 10.1109/TITS.2019.2949915 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_RIE</sourceid><recordid>TN_cdi_ieee_primary_8892611</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>8892611</ieee_id><sourcerecordid>2465667848</sourcerecordid><originalsourceid>FETCH-LOGICAL-c293t-30d8e942a9ad28fee2a89ae69eb95f23219bf8b9514899039790cecc4193587f3</originalsourceid><addsrcrecordid>eNqNkE1rGzEQhpfQQtOkP6DkIuixrKPRSmvNcTH9MBgCsdvrIiujRGG9ciVtg_99tTi01570It5nhnmq6iPwBQDH2916t10IDrgQKBFBXVSXoJSuOYf2zZyFrJEr_q56n9Jz-ZUK4LJ67Nj2lDIdTPaWbXymaPIUid3Tb08vrNuHKbP8RGx9OBqbWXCsi9k7b70Z2HrMNAz-kUZLLIysm3IYwyFMif2kJ28HYlvjKJ-uq7fODIk-vL5X1Y-vX3ar7_Xm7tt61W1qK7DJdcMfNKEUBs2D0I5IGI2GWqQ9KicaAbh3umSQGpE3uERuyVoJ2Ci9dM1V9ek89xjDr4lS7p_DFMeysheyVW271FKXFpxbNoaUIrn-GP3BxFMPvJ999rPPfvbZv_oszOcz80L74JL1881_Oc65Qtk2UpbEobT1_7dXPhf9YVyFacwFvTmjnugfojWKFqD5AyC5kmQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2465667848</pqid></control><display><type>article</type><title>A Systematic Literature Review About the Impact of Artificial Intelligence on Autonomous Vehicle Safety</title><source>IEEE Electronic Library (IEL)</source><creator>Nascimento, Alexandre Moreira ; Vismari, Lucio Flavio ; Molina, Caroline Bianca Santos Tancredi ; Cugnasca, Paulo Sergio ; Camargo, Joao Batista ; Almeida, Jorge Rady de ; Inam, Rafia ; Fersman, Elena ; Marquezini, Maria Valeria ; Hata, Alberto Yukinobu</creator><creatorcontrib>Nascimento, Alexandre Moreira ; Vismari, Lucio Flavio ; Molina, Caroline Bianca Santos Tancredi ; Cugnasca, Paulo Sergio ; Camargo, Joao Batista ; Almeida, Jorge Rady de ; Inam, Rafia ; Fersman, Elena ; Marquezini, Maria Valeria ; Hata, Alberto Yukinobu</creatorcontrib><description>Autonomous Vehicles (AV) are expected to bring considerable benefits to society, such as traffic optimization and accidents reduction. They rely heavily on advances in many Artificial Intelligence (AI) approaches and techniques. However, while some researchers in this field believe AI is the core element to enhance safety, others believe AI imposes new challenges to assure the safety of these new AI-based systems and applications. In this non-convergent context, this paper presents a systematic literature review to paint a clear picture of the state of the art of the literature in AI on AV safety. Based on an initial sample of 4870 retrieved papers, 59 studies were selected as the result of the selection criteria detailed in the paper. The shortlisted studies were then mapped into six categories to answer the proposed research questions. An AV system model was proposed and applied to orient the discussions about the SLR findings. As a main result, we have reinforced our preliminary observation about the necessity of considering a serious safety agenda for the future studies on AI-based AV systems.</description><identifier>ISSN: 1524-9050</identifier><identifier>EISSN: 1558-0016</identifier><identifier>DOI: 10.1109/TITS.2019.2949915</identifier><identifier>CODEN: ITISFG</identifier><language>eng</language><publisher>PISCATAWAY: IEEE</publisher><subject>Artificial intelligence ; Autonomous vehicles ; Engineering ; Engineering, Civil ; Engineering, Electrical & Electronic ; Literature reviews ; machine intelligence ; Machine learning ; Optimization ; Safety ; Science & Technology ; Systematic review ; Systematics ; Technology ; Transportation ; Transportation Science & Technology ; Vehicle safety</subject><ispartof>IEEE transactions on intelligent transportation systems, 2020-12, Vol.21 (12), p.4928-4946</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2020</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>true</woscitedreferencessubscribed><woscitedreferencescount>65</woscitedreferencescount><woscitedreferencesoriginalsourcerecordid>wos000594634400001</woscitedreferencesoriginalsourcerecordid><citedby>FETCH-LOGICAL-c293t-30d8e942a9ad28fee2a89ae69eb95f23219bf8b9514899039790cecc4193587f3</citedby><cites>FETCH-LOGICAL-c293t-30d8e942a9ad28fee2a89ae69eb95f23219bf8b9514899039790cecc4193587f3</cites><orcidid>0000-0002-5675-4667 ; 0000-0001-5098-6769 ; 0000-0003-3839-4570 ; 0000-0002-3101-2464</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/8892611$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,796,27924,27925,54758</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/8892611$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Nascimento, Alexandre Moreira</creatorcontrib><creatorcontrib>Vismari, Lucio Flavio</creatorcontrib><creatorcontrib>Molina, Caroline Bianca Santos Tancredi</creatorcontrib><creatorcontrib>Cugnasca, Paulo Sergio</creatorcontrib><creatorcontrib>Camargo, Joao Batista</creatorcontrib><creatorcontrib>Almeida, Jorge Rady de</creatorcontrib><creatorcontrib>Inam, Rafia</creatorcontrib><creatorcontrib>Fersman, Elena</creatorcontrib><creatorcontrib>Marquezini, Maria Valeria</creatorcontrib><creatorcontrib>Hata, Alberto Yukinobu</creatorcontrib><title>A Systematic Literature Review About the Impact of Artificial Intelligence on Autonomous Vehicle Safety</title><title>IEEE transactions on intelligent transportation systems</title><addtitle>TITS</addtitle><addtitle>IEEE T INTELL TRANSP</addtitle><description>Autonomous Vehicles (AV) are expected to bring considerable benefits to society, such as traffic optimization and accidents reduction. They rely heavily on advances in many Artificial Intelligence (AI) approaches and techniques. However, while some researchers in this field believe AI is the core element to enhance safety, others believe AI imposes new challenges to assure the safety of these new AI-based systems and applications. In this non-convergent context, this paper presents a systematic literature review to paint a clear picture of the state of the art of the literature in AI on AV safety. Based on an initial sample of 4870 retrieved papers, 59 studies were selected as the result of the selection criteria detailed in the paper. The shortlisted studies were then mapped into six categories to answer the proposed research questions. An AV system model was proposed and applied to orient the discussions about the SLR findings. As a main result, we have reinforced our preliminary observation about the necessity of considering a serious safety agenda for the future studies on AI-based AV systems.</description><subject>Artificial intelligence</subject><subject>Autonomous vehicles</subject><subject>Engineering</subject><subject>Engineering, Civil</subject><subject>Engineering, Electrical & Electronic</subject><subject>Literature reviews</subject><subject>machine intelligence</subject><subject>Machine learning</subject><subject>Optimization</subject><subject>Safety</subject><subject>Science & Technology</subject><subject>Systematic review</subject><subject>Systematics</subject><subject>Technology</subject><subject>Transportation</subject><subject>Transportation Science & Technology</subject><subject>Vehicle safety</subject><issn>1524-9050</issn><issn>1558-0016</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><sourceid>AOWDO</sourceid><recordid>eNqNkE1rGzEQhpfQQtOkP6DkIuixrKPRSmvNcTH9MBgCsdvrIiujRGG9ciVtg_99tTi01570It5nhnmq6iPwBQDH2916t10IDrgQKBFBXVSXoJSuOYf2zZyFrJEr_q56n9Jz-ZUK4LJ67Nj2lDIdTPaWbXymaPIUid3Tb08vrNuHKbP8RGx9OBqbWXCsi9k7b70Z2HrMNAz-kUZLLIysm3IYwyFMif2kJ28HYlvjKJ-uq7fODIk-vL5X1Y-vX3ar7_Xm7tt61W1qK7DJdcMfNKEUBs2D0I5IGI2GWqQ9KicaAbh3umSQGpE3uERuyVoJ2Ci9dM1V9ek89xjDr4lS7p_DFMeysheyVW271FKXFpxbNoaUIrn-GP3BxFMPvJ999rPPfvbZv_oszOcz80L74JL1881_Oc65Qtk2UpbEobT1_7dXPhf9YVyFacwFvTmjnugfojWKFqD5AyC5kmQ</recordid><startdate>20201201</startdate><enddate>20201201</enddate><creator>Nascimento, Alexandre Moreira</creator><creator>Vismari, Lucio Flavio</creator><creator>Molina, Caroline Bianca Santos Tancredi</creator><creator>Cugnasca, Paulo Sergio</creator><creator>Camargo, Joao Batista</creator><creator>Almeida, Jorge Rady de</creator><creator>Inam, Rafia</creator><creator>Fersman, Elena</creator><creator>Marquezini, Maria Valeria</creator><creator>Hata, Alberto Yukinobu</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AOWDO</scope><scope>BLEPL</scope><scope>DTL</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>8FD</scope><scope>FR3</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><orcidid>https://orcid.org/0000-0002-5675-4667</orcidid><orcidid>https://orcid.org/0000-0001-5098-6769</orcidid><orcidid>https://orcid.org/0000-0003-3839-4570</orcidid><orcidid>https://orcid.org/0000-0002-3101-2464</orcidid></search><sort><creationdate>20201201</creationdate><title>A Systematic Literature Review About the Impact of Artificial Intelligence on Autonomous Vehicle Safety</title><author>Nascimento, Alexandre Moreira ; Vismari, Lucio Flavio ; Molina, Caroline Bianca Santos Tancredi ; Cugnasca, Paulo Sergio ; Camargo, Joao Batista ; Almeida, Jorge Rady de ; Inam, Rafia ; Fersman, Elena ; Marquezini, Maria Valeria ; Hata, Alberto Yukinobu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c293t-30d8e942a9ad28fee2a89ae69eb95f23219bf8b9514899039790cecc4193587f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Artificial intelligence</topic><topic>Autonomous vehicles</topic><topic>Engineering</topic><topic>Engineering, Civil</topic><topic>Engineering, Electrical & Electronic</topic><topic>Literature reviews</topic><topic>machine intelligence</topic><topic>Machine learning</topic><topic>Optimization</topic><topic>Safety</topic><topic>Science & Technology</topic><topic>Systematic review</topic><topic>Systematics</topic><topic>Technology</topic><topic>Transportation</topic><topic>Transportation Science & Technology</topic><topic>Vehicle safety</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Nascimento, Alexandre Moreira</creatorcontrib><creatorcontrib>Vismari, Lucio Flavio</creatorcontrib><creatorcontrib>Molina, Caroline Bianca Santos Tancredi</creatorcontrib><creatorcontrib>Cugnasca, Paulo Sergio</creatorcontrib><creatorcontrib>Camargo, Joao Batista</creatorcontrib><creatorcontrib>Almeida, Jorge Rady de</creatorcontrib><creatorcontrib>Inam, Rafia</creatorcontrib><creatorcontrib>Fersman, Elena</creatorcontrib><creatorcontrib>Marquezini, Maria Valeria</creatorcontrib><creatorcontrib>Hata, Alberto Yukinobu</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>Web of Science - Science Citation Index Expanded - 2020</collection><collection>Web of Science Core Collection</collection><collection>Science Citation Index Expanded</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>IEEE transactions on intelligent transportation systems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Nascimento, Alexandre Moreira</au><au>Vismari, Lucio Flavio</au><au>Molina, Caroline Bianca Santos Tancredi</au><au>Cugnasca, Paulo Sergio</au><au>Camargo, Joao Batista</au><au>Almeida, Jorge Rady de</au><au>Inam, Rafia</au><au>Fersman, Elena</au><au>Marquezini, Maria Valeria</au><au>Hata, Alberto Yukinobu</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Systematic Literature Review About the Impact of Artificial Intelligence on Autonomous Vehicle Safety</atitle><jtitle>IEEE transactions on intelligent transportation systems</jtitle><stitle>TITS</stitle><stitle>IEEE T INTELL TRANSP</stitle><date>2020-12-01</date><risdate>2020</risdate><volume>21</volume><issue>12</issue><spage>4928</spage><epage>4946</epage><pages>4928-4946</pages><issn>1524-9050</issn><eissn>1558-0016</eissn><coden>ITISFG</coden><abstract>Autonomous Vehicles (AV) are expected to bring considerable benefits to society, such as traffic optimization and accidents reduction. They rely heavily on advances in many Artificial Intelligence (AI) approaches and techniques. However, while some researchers in this field believe AI is the core element to enhance safety, others believe AI imposes new challenges to assure the safety of these new AI-based systems and applications. In this non-convergent context, this paper presents a systematic literature review to paint a clear picture of the state of the art of the literature in AI on AV safety. Based on an initial sample of 4870 retrieved papers, 59 studies were selected as the result of the selection criteria detailed in the paper. The shortlisted studies were then mapped into six categories to answer the proposed research questions. An AV system model was proposed and applied to orient the discussions about the SLR findings. As a main result, we have reinforced our preliminary observation about the necessity of considering a serious safety agenda for the future studies on AI-based AV systems.</abstract><cop>PISCATAWAY</cop><pub>IEEE</pub><doi>10.1109/TITS.2019.2949915</doi><tpages>19</tpages><orcidid>https://orcid.org/0000-0002-5675-4667</orcidid><orcidid>https://orcid.org/0000-0001-5098-6769</orcidid><orcidid>https://orcid.org/0000-0003-3839-4570</orcidid><orcidid>https://orcid.org/0000-0002-3101-2464</orcidid></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | ISSN: 1524-9050 |
| ispartof | IEEE transactions on intelligent transportation systems, 2020-12, Vol.21 (12), p.4928-4946 |
| issn | 1524-9050 1558-0016 |
| language | eng |
| recordid | cdi_ieee_primary_8892611 |
| source | IEEE Electronic Library (IEL) |
| subjects | Artificial intelligence Autonomous vehicles Engineering Engineering, Civil Engineering, Electrical & Electronic Literature reviews machine intelligence Machine learning Optimization Safety Science & Technology Systematic review Systematics Technology Transportation Transportation Science & Technology Vehicle safety |
| title | A Systematic Literature Review About the Impact of Artificial Intelligence on Autonomous Vehicle Safety |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-20T20%3A06%3A32IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_RIE&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20Systematic%20Literature%20Review%20About%20the%20Impact%20of%20Artificial%20Intelligence%20on%20Autonomous%20Vehicle%20Safety&rft.jtitle=IEEE%20transactions%20on%20intelligent%20transportation%20systems&rft.au=Nascimento,%20Alexandre%20Moreira&rft.date=2020-12-01&rft.volume=21&rft.issue=12&rft.spage=4928&rft.epage=4946&rft.pages=4928-4946&rft.issn=1524-9050&rft.eissn=1558-0016&rft.coden=ITISFG&rft_id=info:doi/10.1109/TITS.2019.2949915&rft_dat=%3Cproquest_RIE%3E2465667848%3C/proquest_RIE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2465667848&rft_id=info:pmid/&rft_ieee_id=8892611&rfr_iscdi=true |