{"id":"https://openalex.org/W4360605091","doi":"https://doi.org/10.1109/icnc57223.2023.10074081","title":"Pedestrian Detection and Avoidance at Night Using Multiple Sensors and Machine Learning","display_name":"Pedestrian Detection and Avoidance at Night Using Multiple Sensors and Machine Learning","publication_year":2023,"publication_date":"2023-02-20","ids":{"openalex":"https://openalex.org/W4360605091","doi":"https://doi.org/10.1109/icnc57223.2023.10074081"},"language":"en","primary_location":{"id":"doi:10.1109/icnc57223.2023.10074081","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnc57223.2023.10074081","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Computing, Networking and Communications (ICNC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5007988881","display_name":"Hovannes Kulhandjian","orcid":"https://orcid.org/0000-0002-8983-6757"},"institutions":[{"id":"https://openalex.org/I67328108","display_name":"California State University, Fresno","ror":"https://ror.org/03enmdz06","country_code":"US","type":"education","lineage":["https://openalex.org/I67328108"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hovannes Kulhandjian","raw_affiliation_strings":["California State University,Department of Electrical and Computer Engineering,Fresno, Fresno,CA,U.S.A,93740"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"California State University,Department of Electrical and Computer Engineering,Fresno, Fresno,CA,U.S.A,93740","institution_ids":["https://openalex.org/I67328108"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090233056","display_name":"Jeremiah Barron","orcid":null},"institutions":[{"id":"https://openalex.org/I67328108","display_name":"California State University, Fresno","ror":"https://ror.org/03enmdz06","country_code":"US","type":"education","lineage":["https://openalex.org/I67328108"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jeremiah Barron","raw_affiliation_strings":["California State University,Department of Electrical and Computer Engineering,Fresno, Fresno,CA,U.S.A,93740"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"California State University,Department of Electrical and Computer Engineering,Fresno, Fresno,CA,U.S.A,93740","institution_ids":["https://openalex.org/I67328108"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058382172","display_name":"Megan Tamiyasu","orcid":null},"institutions":[{"id":"https://openalex.org/I67328108","display_name":"California State University, Fresno","ror":"https://ror.org/03enmdz06","country_code":"US","type":"education","lineage":["https://openalex.org/I67328108"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Megan Tamiyasu","raw_affiliation_strings":["California State University,Department of Electrical and Computer Engineering,Fresno, Fresno,CA,U.S.A,93740"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"California State University,Department of Electrical and Computer Engineering,Fresno, Fresno,CA,U.S.A,93740","institution_ids":["https://openalex.org/I67328108"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018798348","display_name":"Mateo Thompson","orcid":null},"institutions":[{"id":"https://openalex.org/I67328108","display_name":"California State University, Fresno","ror":"https://ror.org/03enmdz06","country_code":"US","type":"education","lineage":["https://openalex.org/I67328108"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mateo Thompson","raw_affiliation_strings":["California State University,Department of Electrical and Computer Engineering,Fresno, Fresno,CA,U.S.A,93740"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"California State University,Department of Electrical and Computer Engineering,Fresno, Fresno,CA,U.S.A,93740","institution_ids":["https://openalex.org/I67328108"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059104485","display_name":"Michel Kulhandjian","orcid":"https://orcid.org/0000-0001-6692-7907"},"institutions":[{"id":"https://openalex.org/I74775410","display_name":"Rice University","ror":"https://ror.org/008zs3103","country_code":"US","type":"education","lineage":["https://openalex.org/I74775410"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michel Kulhandjian","raw_affiliation_strings":["Rice University,Department of Electrical and Computer Engineering,Houston,TX,U.S.A,77005"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rice University,Department of Electrical and Computer Engineering,Houston,TX,U.S.A,77005","institution_ids":["https://openalex.org/I74775410"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7283,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.78518812,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"165","last_page":"169"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9986000061035156,"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7206987142562866},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7026635408401489},{"id":"https://openalex.org/keywords/pedestrian-detection","display_name":"Pedestrian detection","score":0.7016024589538574},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.699844479560852},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.659314751625061},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.5879525542259216},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4243556261062622},{"id":"https://openalex.org/keywords/night-vision","display_name":"Night vision","score":0.4131147861480713},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3789067268371582},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1902814507484436},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.1631530225276947},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07860001921653748}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7206987142562866},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7026635408401489},{"id":"https://openalex.org/C2780156472","wikidata":"https://www.wikidata.org/wiki/Q2355550","display_name":"Pedestrian detection","level":3,"score":0.7016024589538574},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.699844479560852},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.659314751625061},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.5879525542259216},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4243556261062622},{"id":"https://openalex.org/C2983470273","wikidata":"https://www.wikidata.org/wiki/Q5353651","display_name":"Night vision","level":2,"score":0.4131147861480713},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3789067268371582},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1902814507484436},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.1631530225276947},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07860001921653748},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icnc57223.2023.10074081","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnc57223.2023.10074081","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Computing, Networking and Communications (ICNC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.6000000238418579,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2030525099","https://openalex.org/W2153837630","https://openalex.org/W2341949230","https://openalex.org/W2575265421","https://openalex.org/W3005630873","https://openalex.org/W3006292530","https://openalex.org/W3011489390","https://openalex.org/W3040033967","https://openalex.org/W3080609121","https://openalex.org/W4247840447"],"related_works":["https://openalex.org/W2972620127","https://openalex.org/W2981141433","https://openalex.org/W2802018156","https://openalex.org/W4313315626","https://openalex.org/W2101531944","https://openalex.org/W2922437833","https://openalex.org/W2100052226","https://openalex.org/W4312696271","https://openalex.org/W2933098581","https://openalex.org/W4223892596"],"abstract_inverted_index":{"We":[0,68,81],"develop":[1],"a":[2,21,28,79,96,102,116],"machine":[3],"learning-based":[4],"pedestrian":[5],"detection":[6],"and":[7,17,27,64,71,108,111],"alert":[8],"system":[9,77],"that":[10,100],"can":[11],"operate":[12],"both":[13],"during":[14,39,46,105],"the":[15,40,43,47,50,57,76,106,113],"day":[16,107],"at":[18,109],"night":[19,110],"using":[20,95],"visual":[22],"camera,":[23,26],"an":[24,83],"infrared":[25,44],"radar":[29,51],"sensor.":[30],"The":[31],"visible":[32],"camera":[33,45],"is":[34,53],"used":[35],"to":[36,55],"detect":[37,56],"pedestrians":[38,60],"daytime":[41],"while":[42],"nighttime.":[48],"Whereas":[49],"sensor":[52],"utilized":[54],"presence":[58,104],"of":[59,66,75,86],"including":[61],"their":[62],"range":[63],"directions":[65],"motion.":[67],"have":[69],"developed":[70],"conducted":[72],"actual":[73],"experimentation":[74],"in":[78,115],"vehicle.":[80],"achieved":[82],"average":[84],"accuracy":[85],"98%":[87],"based":[88],"on":[89],"our":[90],"proposed":[91],"multi-sensor":[92],"data":[93],"analysis":[94],"deep":[97],"learning":[98],"algorithm":[99],"classifies":[101],"pedestrian\u2019s":[103],"alerts":[112],"driver":[114],"real-time":[117],"monitoring":[118],"system.":[119]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}