{"id":"https://openalex.org/W4321504659","doi":"https://doi.org/10.1007/978-3-031-26438-2_21","title":"Automatic Vehicle Ego Body Extraction for\u00a0Reducing False Detections in\u00a0Automated Driving Applications","display_name":"Automatic Vehicle Ego Body Extraction for\u00a0Reducing False Detections in\u00a0Automated Driving Applications","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4321504659","doi":"https://doi.org/10.1007/978-3-031-26438-2_21"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-031-26438-2_21","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-031-26438-2_21","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-031-26438-2_21.pdf","source":{"id":"https://openalex.org/S2764900261","display_name":"Communications in computer and information science","issn_l":"1865-0929","issn":["1865-0929","1865-0937"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Computer and Information Science","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/978-3-031-26438-2_21.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5003723425","display_name":"Ciar\u00e1n Hogan","orcid":null},"institutions":[{"id":"https://openalex.org/I230495080","display_name":"University of Limerick","ror":"https://ror.org/00a0n9e72","country_code":"IE","type":"education","lineage":["https://openalex.org/I230495080"]}],"countries":["IE"],"is_corresponding":true,"raw_author_name":"Ciar\u00e1n Hogan","raw_affiliation_strings":["Department of Electronic and Computer Engineering, University of Limerick, Limerick, Ireland"],"affiliations":[{"raw_affiliation_string":"Department of Electronic and Computer Engineering, University of Limerick, Limerick, Ireland","institution_ids":["https://openalex.org/I230495080"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5104346398","display_name":"Ganesh Sistu","orcid":"https://orcid.org/0009-0003-1683-9257"},"institutions":[{"id":"https://openalex.org/I4210126639","display_name":"Valeo (Ireland)","ror":"https://ror.org/031sgpn76","country_code":"IE","type":"company","lineage":["https://openalex.org/I220619192","https://openalex.org/I4210126639"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Ganesh Sistu","raw_affiliation_strings":["Valeo Vision Systems, Tuam, Galway, Ireland"],"affiliations":[{"raw_affiliation_string":"Valeo Vision Systems, Tuam, Galway, Ireland","institution_ids":["https://openalex.org/I4210126639"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5003723425"],"corresponding_institution_ids":["https://openalex.org/I230495080"],"apc_list":null,"apc_paid":null,"fwci":1.6288,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.87426545,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"264","last_page":"275"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","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/T10036","display_name":"Advanced Neural Network Applications","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":0.9983999729156494,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9970999956130981,"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":0.7407258749008179},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6876364946365356},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5890689492225647},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5770324468612671},{"id":"https://openalex.org/keywords/id-ego-and-super-ego","display_name":"Id, ego and super-ego","score":0.5292434096336365},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.49183225631713867},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.47895553708076477},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.45048144459724426},{"id":"https://openalex.org/keywords/bodywork","display_name":"Bodywork","score":0.4420032203197479},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.43659672141075134},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.11314496397972107},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09079891443252563}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7407258749008179},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6876364946365356},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5890689492225647},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5770324468612671},{"id":"https://openalex.org/C9180747","wikidata":"https://www.wikidata.org/wiki/Q486893","display_name":"Id, ego and super-ego","level":2,"score":0.5292434096336365},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.49183225631713867},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.47895553708076477},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.45048144459724426},{"id":"https://openalex.org/C2780609749","wikidata":"https://www.wikidata.org/wiki/Q4937028","display_name":"Bodywork","level":3,"score":0.4420032203197479},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.43659672141075134},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.11314496397972107},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09079891443252563},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","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},{"id":"https://openalex.org/C204787440","wikidata":"https://www.wikidata.org/wiki/Q188504","display_name":"Alternative medicine","level":2,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-031-26438-2_21","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-031-26438-2_21","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-031-26438-2_21.pdf","source":{"id":"https://openalex.org/S2764900261","display_name":"Communications in computer and information science","issn_l":"1865-0929","issn":["1865-0929","1865-0937"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Computer and Information Science","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.1007/978-3-031-26438-2_21","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-031-26438-2_21","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-031-26438-2_21.pdf","source":{"id":"https://openalex.org/S2764900261","display_name":"Communications in computer and information science","issn_l":"1865-0929","issn":["1865-0929","1865-0937"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Computer and Information Science","raw_type":"book-chapter"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4321504659.pdf"},"referenced_works_count":12,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2056182445","https://openalex.org/W2135509629","https://openalex.org/W2340897893","https://openalex.org/W2741141082","https://openalex.org/W2892220819","https://openalex.org/W2896783770","https://openalex.org/W2949650786","https://openalex.org/W3000280594","https://openalex.org/W3004734937","https://openalex.org/W3111741304","https://openalex.org/W4288363278"],"related_works":["https://openalex.org/W2398702729","https://openalex.org/W1917577792","https://openalex.org/W568137419","https://openalex.org/W576459535","https://openalex.org/W2357753157","https://openalex.org/W2108684256","https://openalex.org/W2896368269","https://openalex.org/W2904875393","https://openalex.org/W2364909501","https://openalex.org/W1583400852"],"abstract_inverted_index":{"Abstract":[0],"Fisheye":[1],"cameras":[2],"are":[3,112],"extensively":[4],"employed":[5],"in":[6,52,68,155],"autonomous":[7,104],"vehicles":[8,223],"due":[9],"to":[10,56,99,134,151,163,236,257,262,275],"their":[11],"wider":[12],"field":[13,37],"of":[14,22,29,33,38,47,103,139],"view,":[15],"which":[16,240],"produces":[17],"a":[18,26,35,119,175,179],"complete":[19],"360-degree":[20],"image":[21],"the":[23,48,60,96,101,126,140,144,156,166,222,229,237,243,246,265,271,276],"vehicle":[24,73,192],"with":[25,178,203],"minimum":[27],"number":[28],"sensors.":[30],"The":[31,171,249],"drawback":[32],"having":[34],"broader":[36],"view":[39],"is":[40,83,95,168,174,198,267],"that":[41,111],"it":[42],"may":[43,64],"include":[44],"undesirable":[45],"portions":[46],"vehicle\u2019s":[49,127],"ego":[50,72,105],"body":[51,106],"its":[53],"perspective.":[54],"Due":[55],"objects\u2019":[57],"reflections":[58],"on":[59,86,183,191],"car":[61,210],"body,":[62],"this":[63,87,94,235],"produce":[65],"false":[66],"positives":[67],"perception":[69,225],"systems.":[70],"Processing":[71],"pixels":[74],"also":[75,117],"uses":[76],"up":[77],"unnecessary":[78],"computing":[79,259],"power.":[80],"Unexpectedly,":[81],"there":[82],"no":[84],"literature":[85],"relevant":[88],"practical":[89],"problem.":[90],"To":[91],"our":[92],"knowledge,":[93],"first":[97],"attempt":[98],"discuss":[100],"significance":[102],"extraction":[107],"for":[108,114,124,146,187],"automobile":[109],"applications":[110],"crucial":[113],"safety.":[115],"We":[116],"proposed":[118,172,215,250],"simple":[120],"deep":[121],"learning":[122],"model":[123,130,177],"identifying":[125],"ego-body.":[128],"This":[129,214],"would":[131],"enable":[132],"us":[133],"eliminate":[135,143],"any":[136],"pointless":[137],"processing":[138],"car\u2019s":[141,157],"bodywork,":[142],"potential":[145],"pedestrians":[147],"or":[148],"other":[149,238],"objects":[150],"be":[152,219],"mistakenly":[153],"detected":[154],"ego-body":[158,193,230],"reflection,":[159],"and":[160,185,233,261],"finally,":[161],"check":[162,263],"see":[164],"if":[165,264],"camera":[167,266],"mounted":[169],"incorrectly.":[170],"network":[173,216,251],"U-Net":[176],"Res-Net50":[180],"encoder":[181],"pre-trained":[182],"ImageNet":[184],"trained":[186],"binary":[188],"semantic":[189],"segmentation":[190],"data.":[194,278],"Our":[195],"training":[196],"data":[197,232,274],"an":[199],"internal":[200],"Valeo":[201],"dataset":[202],"10K":[204],"samples":[205],"collected":[206],"by":[207,227,269],"three":[208],"separate":[209],"lines":[211],"across":[212],"Europe.":[213],"could":[217],"then":[218,241],"integrated":[220],"into":[221],"existing":[224],"system":[226],"extracting":[228],"contour":[231,247,273],"supplying":[234],"algorithms":[239],"ignore":[242],"area":[244],"outside":[245],"coordinates.":[248],"can":[252],"run":[253],"at":[254],"set":[255],"intervals":[256],"save":[258],"power":[260],"misaligned":[268],"comparing":[270],"new":[272],"previous":[277]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1}],"updated_date":"2026-01-26T23:06:41.788003","created_date":"2025-10-10T00:00:00"}