{"id":"https://openalex.org/W2900279443","doi":"https://doi.org/10.1109/icves.2018.8519504","title":"Deep Learning based Vulnerable Road User Detection and Collision Avoidance","display_name":"Deep Learning based Vulnerable Road User Detection and Collision Avoidance","publication_year":2018,"publication_date":"2018-09-01","ids":{"openalex":"https://openalex.org/W2900279443","doi":"https://doi.org/10.1109/icves.2018.8519504","mag":"2900279443"},"language":"en","primary_location":{"id":"doi:10.1109/icves.2018.8519504","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icves.2018.8519504","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Vehicular Electronics and Safety (ICVES)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5079602764","display_name":"Swadesh Kumar Maurya","orcid":"https://orcid.org/0000-0002-7835-8980"},"institutions":[{"id":"https://openalex.org/I152429107","display_name":"Jawaharlal Nehru University","ror":"https://ror.org/0567v8t28","country_code":"IN","type":"education","lineage":["https://openalex.org/I152429107"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Swadesh Kumar Maurya","raw_affiliation_strings":["School of Computer and Systems Sciences, Jawaharlal Nehru University, New Delhi, Delhi"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Systems Sciences, Jawaharlal Nehru University, New Delhi, Delhi","institution_ids":["https://openalex.org/I152429107"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030506227","display_name":"Ayesha Choudhary","orcid":"https://orcid.org/0000-0002-7544-4912"},"institutions":[{"id":"https://openalex.org/I152429107","display_name":"Jawaharlal Nehru University","ror":"https://ror.org/0567v8t28","country_code":"IN","type":"education","lineage":["https://openalex.org/I152429107"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ayesha Choudhary","raw_affiliation_strings":["School of Computer and Systems Sciences, Jawaharlal Nehru University, New Delhi, Delhi"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Systems Sciences, Jawaharlal Nehru University, New Delhi, Delhi","institution_ids":["https://openalex.org/I152429107"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.272,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.85469293,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7288826704025269},{"id":"https://openalex.org/keywords/vulnerability","display_name":"Vulnerability (computing)","score":0.6971592903137207},{"id":"https://openalex.org/keywords/dashboard","display_name":"Dashboard","score":0.6448648571968079},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5159834027290344},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5048583149909973},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.46883028745651245},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.43790894746780396},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.4225921332836151},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42025333642959595},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.33731716871261597},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.15604835748672485},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.0938711166381836}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7288826704025269},{"id":"https://openalex.org/C95713431","wikidata":"https://www.wikidata.org/wiki/Q631425","display_name":"Vulnerability (computing)","level":2,"score":0.6971592903137207},{"id":"https://openalex.org/C33499554","wikidata":"https://www.wikidata.org/wiki/Q1417134","display_name":"Dashboard","level":2,"score":0.6448648571968079},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5159834027290344},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5048583149909973},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.46883028745651245},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.43790894746780396},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.4225921332836151},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42025333642959595},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.33731716871261597},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.15604835748672485},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.0938711166381836},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icves.2018.8519504","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icves.2018.8519504","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Vehicular Electronics and Safety (ICVES)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6700000166893005,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1543403541","https://openalex.org/W2054911734","https://openalex.org/W2102691275","https://openalex.org/W2132451881","https://openalex.org/W2150823086","https://openalex.org/W2151624311","https://openalex.org/W2559085405","https://openalex.org/W2772076306","https://openalex.org/W2793288154","https://openalex.org/W2962783540","https://openalex.org/W3143907596","https://openalex.org/W6730277886","https://openalex.org/W6748915481"],"related_works":["https://openalex.org/W2607236244","https://openalex.org/W2382083831","https://openalex.org/W4239369595","https://openalex.org/W2169792944","https://openalex.org/W3048913176","https://openalex.org/W4386891374","https://openalex.org/W4292603292","https://openalex.org/W2048767857","https://openalex.org/W2808637346","https://openalex.org/W2947439131"],"abstract_inverted_index":{"In":[0,76],"this":[1],"paper,":[2],"we":[3,79],"propose":[4],"a":[5,28,108],"camera":[6,102],"based":[7,35,83],"novel,":[8],"realtime":[9],"framework":[10,25,147],"for":[11,85,89],"detection":[12,88],"and":[13,22,41,48,56,68,93,116,120,130,156],"tracking":[14],"of":[15,30,33,39,98,107,126,137,160],"vulnerable":[16,45,53,153],"road":[17,54,154],"users,":[18],"such":[19],"as":[20],"pedestrians":[21,92,115],"cyclists.":[23],"Our":[24],"also":[26],"gives":[27],"measure":[29,157],"the":[31,37,44,51,74,91,96,99,105,111,114,131,145],"degree":[32,125,159],"vulnerability":[34,127,139],"on":[36,104],"direction":[38],"movement":[40],"distance":[42],"from":[43],"region.":[46],"Pedestrians":[47],"cyclists":[49,94,117],"are":[50,118],"most":[52],"users":[55,155],"it":[57],"is":[58,128,133,148],"necessary":[59],"to":[60,150],"develop":[61],"automated":[62],"systems":[63],"that":[64,144],"can":[65],"detect":[66,152],"them":[67],"ensure":[69],"their":[70,124,158],"safety":[71],"by":[72],"alerting":[73],"driver.":[75],"our":[77,146],"framework,":[78],"apply":[80],"deep":[81],"learning":[82],"method":[84],"2D":[86],"pose":[87],"detecting":[90],"in":[95,135],"view":[97],"outside":[100],"looking":[101],"mounted":[103],"dashboard":[106],"vehicle.":[109],"As":[110],"vehicle":[112],"moves,":[113],"detected":[119],"tracked":[121],"across":[122],"frames,":[123],"measured":[129],"driver":[132],"alerted":[134],"case":[136],"high":[138],"score.":[140],"Experimental":[141],"results":[142],"show":[143],"able":[149],"accurately":[151],"vulnerability.":[161]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}