{"id":"https://openalex.org/W2015252327","doi":"https://doi.org/10.1109/vnc.2014.7013333","title":"Multi-sensor data fusion for checking plausibility of V2V communications by vision-based multiple-object tracking","display_name":"Multi-sensor data fusion for checking plausibility of V2V communications by vision-based multiple-object tracking","publication_year":2014,"publication_date":"2014-12-01","ids":{"openalex":"https://openalex.org/W2015252327","doi":"https://doi.org/10.1109/vnc.2014.7013333","mag":"2015252327"},"language":"en","primary_location":{"id":"doi:10.1109/vnc.2014.7013333","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vnc.2014.7013333","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Vehicular Networking Conference (VNC)","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/A5057850886","display_name":"Marcus Obst","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Marcus Obst","raw_affiliation_strings":["BASELABS GmbH, Chemnitz, Germany","BASELABS GmbH, Ebertstr. 10, Germany, Chemnitz 09126"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"BASELABS GmbH, Chemnitz, Germany","institution_ids":[]},{"raw_affiliation_string":"BASELABS GmbH, Ebertstr. 10, Germany, Chemnitz 09126","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050368544","display_name":"Laurens Hobert","orcid":null},"institutions":[{"id":"https://openalex.org/I4210142752","display_name":"Hitachi (France)","ror":"https://ror.org/04yk3c231","country_code":"FR","type":"company","lineage":["https://openalex.org/I4210142752","https://openalex.org/I65143321"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Laurens Hobert","raw_affiliation_strings":["Hitachi Europe SAS, Sophia Antipolis, France","Hitachi Europe SAS, 955, Route des Lucioles, France, Sophia Antipolis 06560"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hitachi Europe SAS, Sophia Antipolis, France","institution_ids":["https://openalex.org/I4210142752"]},{"raw_affiliation_string":"Hitachi Europe SAS, 955, Route des Lucioles, France, Sophia Antipolis 06560","institution_ids":["https://openalex.org/I4210142752"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083747385","display_name":"Pierre Reisdorf","orcid":null},"institutions":[{"id":"https://openalex.org/I2610724","display_name":"Chemnitz University of Technology","ror":"https://ror.org/00a208s56","country_code":"DE","type":"education","lineage":["https://openalex.org/I2610724"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Pierre Reisdorf","raw_affiliation_strings":["Technische Universit\u00e4t Chemnitz, Chemnitz, Germany","Technische Universit\u00e4t Chemnitz, Reichenhainer Str. 70, Germany, Chemnitz 09126"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technische Universit\u00e4t Chemnitz, Chemnitz, Germany","institution_ids":["https://openalex.org/I2610724"]},{"raw_affiliation_string":"Technische Universit\u00e4t Chemnitz, Reichenhainer Str. 70, Germany, Chemnitz 09126","institution_ids":["https://openalex.org/I2610724"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.5114,"has_fulltext":false,"cited_by_count":47,"citation_normalized_percentile":{"value":0.95499884,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"143","last_page":"150"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9995999932289124,"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/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9980999827384949,"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/computer-science","display_name":"Computer science","score":0.7737540602684021},{"id":"https://openalex.org/keywords/correctness","display_name":"Correctness","score":0.7261558175086975},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.6087265014648438},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5818973779678345},{"id":"https://openalex.org/keywords/gnss-applications","display_name":"GNSS applications","score":0.5535352230072021},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.5103003978729248},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.48639920353889465},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48264533281326294},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4645661413669586},{"id":"https://openalex.org/keywords/tracking-system","display_name":"Tracking system","score":0.45892173051834106},{"id":"https://openalex.org/keywords/data-exchange","display_name":"Data exchange","score":0.4460591971874237},{"id":"https://openalex.org/keywords/heading","display_name":"Heading (navigation)","score":0.41991299390792847},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4179961085319519},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.2026980221271515},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.149892657995224},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.13886284828186035},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.104254812002182},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10312241315841675}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7737540602684021},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.7261558175086975},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.6087265014648438},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5818973779678345},{"id":"https://openalex.org/C14279187","wikidata":"https://www.wikidata.org/wiki/Q5514012","display_name":"GNSS applications","level":3,"score":0.5535352230072021},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.5103003978729248},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.48639920353889465},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48264533281326294},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4645661413669586},{"id":"https://openalex.org/C154586513","wikidata":"https://www.wikidata.org/wiki/Q4420972","display_name":"Tracking system","level":3,"score":0.45892173051834106},{"id":"https://openalex.org/C15845906","wikidata":"https://www.wikidata.org/wiki/Q1172338","display_name":"Data exchange","level":2,"score":0.4460591971874237},{"id":"https://openalex.org/C2776937971","wikidata":"https://www.wikidata.org/wiki/Q4384217","display_name":"Heading (navigation)","level":2,"score":0.41991299390792847},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4179961085319519},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.2026980221271515},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.149892657995224},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.13886284828186035},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.104254812002182},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10312241315841675},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vnc.2014.7013333","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vnc.2014.7013333","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Vehicular Networking Conference (VNC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.8399999737739563,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320311034","display_name":"Technische Universit\u00e4t Chemnitz","ror":"https://ror.org/00a208s56"},{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W161507604","https://openalex.org/W576301840","https://openalex.org/W1568122762","https://openalex.org/W1673919989","https://openalex.org/W1964808809","https://openalex.org/W1978917517","https://openalex.org/W1990332008","https://openalex.org/W2004896188","https://openalex.org/W2038420319","https://openalex.org/W2041393445","https://openalex.org/W2069270297","https://openalex.org/W2076623506","https://openalex.org/W2080162902","https://openalex.org/W2090084744","https://openalex.org/W2106432970","https://openalex.org/W2107802551","https://openalex.org/W2121247293","https://openalex.org/W2122723498","https://openalex.org/W2123061819","https://openalex.org/W2127133497","https://openalex.org/W2150595850","https://openalex.org/W2167293612","https://openalex.org/W2481793059","https://openalex.org/W2503094406","https://openalex.org/W3160583293","https://openalex.org/W6606520622","https://openalex.org/W6633879058","https://openalex.org/W6678603790"],"related_works":["https://openalex.org/W4244052565","https://openalex.org/W2358719579","https://openalex.org/W2385042721","https://openalex.org/W2367929022","https://openalex.org/W2351754530","https://openalex.org/W2378649906","https://openalex.org/W2391014597","https://openalex.org/W2350113401","https://openalex.org/W2348727246","https://openalex.org/W2408440673"],"abstract_inverted_index":{"Automated":[0],"vehicles":[1],"require":[2],"an":[3],"adequate":[4],"and":[5,30,65,134,147],"reliable":[6],"perception":[7,35],"of":[8,39,67,75,92,101],"the":[9,34,37,52,63,73,76,90,99],"surrounding":[10],"world":[11],"in":[12,131],"order":[13],"to":[14,22,50],"make":[15],"good":[16],"decisions.":[17],"Using":[18],"vehicle-to-vehicle":[19],"(V2V)":[20],"communication":[21],"exchange":[23,64],"location":[24],"data":[25,53,68],"(i.e.":[26],"time,":[27],"position,":[28],"heading":[29],"speed)":[31],"can":[32,61],"improve":[33],"beyond":[36],"capabilities":[38],"traditional":[40],"on-board":[41],"sensors":[42],"(e.g.":[43],"radar,":[44],"lidar).":[45],"However,":[46],"it":[47,55],"is":[48,56,97,129,145],"vital":[49],"trust":[51],"before":[54],"being":[57],"used.":[58],"Cryptographic":[59],"mechanisms":[60],"protect":[62],"authenticity":[66],"but":[69],"do":[70],"not":[71],"guarantee":[72],"correctness":[74],"content.":[77],"In":[78],"this":[79],"paper":[80],"we":[81],"present":[82],"a":[83,109,132,137],"vision-based":[84],"multi-object":[85],"tracking":[86,140],"system":[87,96,144],"for":[88],"checking":[89],"plausibility":[91,127],"V2V":[93],"communication.":[94],"The":[95,126,142],"addressing":[98],"challenge":[100],"fusing":[102],"relative":[103],"sensor":[104],"observations":[105],"as":[106,122],"provided":[107,123],"by":[108,124,152],"MobilEye":[110],"vision-system":[111],"with":[112],"time-delayed":[113],"absolute":[114],"GNSS-based":[115],"measurements":[116],"from":[117],"Cooperative":[118],"Awareness":[119],"Messages":[120],"(CAMs)":[121],"V2V.":[125],"check":[128],"implemented":[130],"prototype":[133],"based":[135],"on":[136],"state-of-the-art":[138],"multiple-object":[139],"algorithm.":[141],"proposed":[143],"evaluated":[146],"validated":[148],"under":[149,157],"real-world":[150],"conditions":[151],"conducting":[153],"several":[154],"test":[155],"drives":[156],"urban":[158],"conditions.":[159]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":10},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}