iBet uBet web content aggregator. Adding the entire web to your favor.
iBet uBet web content aggregator. Adding the entire web to your favor.



Link to original content: https://api.openalex.org/works/doi:10.1109/ICTAI.2018.00134
{"id":"https://openalex.org/W2905033225","doi":"https://doi.org/10.1109/ictai.2018.00134","title":"Object Detection with Neural Models, Deep Learning and Common Sense to Aid Smart Mobility","display_name":"Object Detection with Neural Models, Deep Learning and Common Sense to Aid Smart Mobility","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2905033225","doi":"https://doi.org/10.1109/ictai.2018.00134","mag":"2905033225"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictai.2018.00134","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5011434389","display_name":"Abidha Pandey","orcid":null},"institutions":[{"id":"https://openalex.org/I166088655","display_name":"Montclair State University","ror":"https://ror.org/01nxc2t48","country_code":"US","type":"education","lineage":["https://openalex.org/I166088655"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Abidha Pandey","raw_affiliation_strings":["Department of Computer Science, Montclair State University, Montclair, NJ"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Montclair State University, Montclair, NJ","institution_ids":["https://openalex.org/I166088655"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070866614","display_name":"Manish Puri","orcid":null},"institutions":[{"id":"https://openalex.org/I166088655","display_name":"Montclair State University","ror":"https://ror.org/01nxc2t48","country_code":"US","type":"education","lineage":["https://openalex.org/I166088655"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Manish Puri","raw_affiliation_strings":["Department of Computer Science, Montclair State University, Montclair, NJ"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Montclair State University, Montclair, NJ","institution_ids":["https://openalex.org/I166088655"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090253347","display_name":"Aparna S. Varde","orcid":"https://orcid.org/0000-0002-3170-2510"},"institutions":[{"id":"https://openalex.org/I166088655","display_name":"Montclair State University","ror":"https://ror.org/01nxc2t48","country_code":"US","type":"education","lineage":["https://openalex.org/I166088655"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aparna Varde","raw_affiliation_strings":["Department of Computer Science, Montclair State University, Montclair, NJ"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Montclair State University, Montclair, NJ","institution_ids":["https://openalex.org/I166088655"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.077,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":27,"citation_normalized_percentile":{"value":0.87623,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":94},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Deep Learning in Computer Vision and Image Recognition","score":0.9996,"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/T10036","display_name":"Deep Learning in Computer Vision and Image Recognition","score":0.9996,"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 Systems","score":0.9943,"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/T11689","display_name":"Adversarial Robustness in Deep Learning Models","score":0.9915,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/object-detection","display_name":"Object Detection","score":0.641153},{"id":"https://openalex.org/keywords/lane-detection","display_name":"Lane Detection","score":0.585734},{"id":"https://openalex.org/keywords/urban-driving","display_name":"Urban Driving","score":0.543097},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep Learning","score":0.503991},{"id":"https://openalex.org/keywords/commonsense-reasoning","display_name":"Commonsense reasoning","score":0.45459488}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.74921787},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.67316985},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.67085576},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6569195},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.53980917},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5179895},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5063814},{"id":"https://openalex.org/C193221554","wikidata":"https://www.wikidata.org/wiki/Q5153664","display_name":"Commonsense reasoning","level":2,"score":0.45459488},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.45206484},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43079197},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.42924035},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.41398674},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15279987},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.10852215},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictai.2018.00134","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.48,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":10,"referenced_works":["https://openalex.org/W2083897630","https://openalex.org/W2161969291","https://openalex.org/W2163605009","https://openalex.org/W2183182206","https://openalex.org/W2514127746","https://openalex.org/W2771077940","https://openalex.org/W2792026792","https://openalex.org/W2950800384","https://openalex.org/W2963037989","https://openalex.org/W3214102110"],"related_works":["https://openalex.org/W4380086463","https://openalex.org/W4380075502","https://openalex.org/W4364306694","https://openalex.org/W4360585206","https://openalex.org/W4312200629","https://openalex.org/W4225161397","https://openalex.org/W4223943233","https://openalex.org/W3014300295","https://openalex.org/W2970686063","https://openalex.org/W2883677709"],"abstract_inverted_index":{"The":[0],"advent":[1],"of":[2,27,60,76,122,138],"autonomous":[3,55,153],"transportation":[4,63,156],"systems":[5],"is":[6,29,47],"attracting":[7],"attention":[8],"in":[9,44,62,69,114,126,169],"AI":[10],"today.":[11],"Despite":[12],"how":[13,147],"far":[14],"this":[15,45,115,148],"area":[16],"has":[17],"progressed,":[18],"there":[19],"are":[20],"situations":[21],"better":[22],"handled":[23],"by":[24],"humans.":[25],"One":[26],"these":[28],"distinguishing":[30],"objects":[31],"seen":[32],"for":[33],"the":[34,120,136],"first":[35],"time":[36],"and":[37,57,86,102,117,132,155],"making":[38],"decisions":[39],"accordingly.":[40],"Hence,":[41],"our":[42],"focus":[43],"paper":[46,164],"on":[48,107],"object":[49,78,93,127],"detection,":[50],"which":[51],"can":[52],"potentially":[53,151],"enhance":[54,152],"driving":[56],"other":[58],"types":[59],"automation":[61],"systems.":[64,157],"This":[65,158],"impacts":[66],"Smart":[67,70,170],"Mobility":[68],"Cities.":[71],"We":[72,89,110,145],"provide":[73],"expanded":[74],"analysis":[75],"recent":[77],"detection":[79,94,128],"techniques":[80],"including":[81],"neural":[82,130],"models,":[83],"deep":[84,133],"learning":[85],"related":[87],"advances.":[88],"highlight":[90],"a":[91,167],"novel":[92],"system":[95],"called":[96],"YOLO":[97],"(You":[98],"Only":[99],"Look":[100],"Once)":[101],"conduct":[103],"its":[104],"performance":[105],"evaluation":[106],"real-time":[108],"data.":[109],"point":[111],"out":[112],"challenges":[113],"field":[116],"then":[118],"explore":[119],"use":[121],"Commonsense":[123],"Knowledge":[124],"(CSK)":[125],"with":[129],"models":[131],"learning,":[134],"emphasizing":[135],"importance":[137],"CSK":[139],"to":[140],"capture":[141],"intuitive":[142],"human":[143],"reasoning.":[144],"explain":[146],"work":[149,159],"would":[150],"vehicles":[154],"thus":[160],"constitutes":[161],"an":[162],"exploratory":[163],"that":[165],"embodies":[166],"vision":[168],"Mobility.":[171]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2905033225","counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":4}],"updated_date":"2024-11-28T03:29:34.137674","created_date":"2018-12-22"}