{"id":"https://openalex.org/W2012340518","doi":"https://doi.org/10.1109/itsc.2007.4357754","title":"A Radar Guided Vision System for Vehicle Validation and Vehicle Motion Characterization","display_name":"A Radar Guided Vision System for Vehicle Validation and Vehicle Motion Characterization","publication_year":2007,"publication_date":"2007-09-01","ids":{"openalex":"https://openalex.org/W2012340518","doi":"https://doi.org/10.1109/itsc.2007.4357754","mag":"2012340518"},"language":"en","primary_location":{"id":"doi:10.1109/itsc.2007.4357754","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2007.4357754","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE Intelligent Transportation Systems Conference","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/A5040998859","display_name":"Yi Tan","orcid":"https://orcid.org/0000-0002-8670-1312"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Yi Tan","raw_affiliation_strings":["Mobile Vision Group, Sarnoff Corporation, Princeton, NJ, USA","Sarnoff Corporation, Princeton"],"affiliations":[{"raw_affiliation_string":"Mobile Vision Group, Sarnoff Corporation, Princeton, NJ, USA","institution_ids":[]},{"raw_affiliation_string":"Sarnoff Corporation, Princeton","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060208182","display_name":"Feng Han","orcid":"https://orcid.org/0000-0002-3411-5573"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Feng Han","raw_affiliation_strings":["Adaptive Systems Group, Sarnoff Corporation, Princeton, NJ, USA","Adaptive Systems Group, Sarnoff Corporation, Princeton, NJ 08543 USA. e-mail: fhan@sarnoff.com"],"affiliations":[{"raw_affiliation_string":"Adaptive Systems Group, Sarnoff Corporation, Princeton, NJ, USA","institution_ids":[]},{"raw_affiliation_string":"Adaptive Systems Group, Sarnoff Corporation, Princeton, NJ 08543 USA. e-mail: fhan@sarnoff.com","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110424314","display_name":"Faroog Ibrahim","orcid":null},"institutions":[{"id":"https://openalex.org/I126889705","display_name":"Visteon (South Korea)","ror":"https://ror.org/056zfc440","country_code":"KR","type":"company","lineage":["https://openalex.org/I126889705","https://openalex.org/I4210095732"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Faroog Ibrahim","raw_affiliation_strings":["Awareness Algorithm & Controls Technical Fellow C. Advanced Driver Awareness System, Vivante Corporation, MI, USA","Driver Awareness Algorithm & Controls Technical Fellow C./Advanced Driver Awareness System, Visteon Corporation Van Buren Township, MI USA, e-mail: fibrahim@visteon.com"],"affiliations":[{"raw_affiliation_string":"Awareness Algorithm & Controls Technical Fellow C. Advanced Driver Awareness System, Vivante Corporation, MI, USA","institution_ids":[]},{"raw_affiliation_string":"Driver Awareness Algorithm & Controls Technical Fellow C./Advanced Driver Awareness System, Visteon Corporation Van Buren Township, MI USA, e-mail: fibrahim@visteon.com","institution_ids":["https://openalex.org/I126889705"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5040998859"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.54895623,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.89189189,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"3","issue":null,"first_page":"1059","last_page":"1066"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9994000196456909,"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":0.9994000196456909,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9801999926567078,"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"}},{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9743000268936157,"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-vision","display_name":"Computer vision","score":0.7957783937454224},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7504080533981323},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7201222777366638},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.5913854241371155},{"id":"https://openalex.org/keywords/monocular-vision","display_name":"Monocular vision","score":0.5758195519447327},{"id":"https://openalex.org/keywords/vehicle-tracking-system","display_name":"Vehicle tracking system","score":0.5153293013572693},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5119010210037231},{"id":"https://openalex.org/keywords/host","display_name":"Host (biology)","score":0.4836043417453766},{"id":"https://openalex.org/keywords/radar-tracker","display_name":"Radar tracker","score":0.47108209133148193},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4374704957008362},{"id":"https://openalex.org/keywords/tracking-system","display_name":"Tracking system","score":0.436572790145874},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.1035597026348114}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7957783937454224},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7504080533981323},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7201222777366638},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.5913854241371155},{"id":"https://openalex.org/C158829959","wikidata":"https://www.wikidata.org/wiki/Q1640606","display_name":"Monocular vision","level":2,"score":0.5758195519447327},{"id":"https://openalex.org/C84119951","wikidata":"https://www.wikidata.org/wiki/Q3498530","display_name":"Vehicle tracking system","level":3,"score":0.5153293013572693},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5119010210037231},{"id":"https://openalex.org/C126831891","wikidata":"https://www.wikidata.org/wiki/Q221673","display_name":"Host (biology)","level":2,"score":0.4836043417453766},{"id":"https://openalex.org/C32283439","wikidata":"https://www.wikidata.org/wiki/Q1407014","display_name":"Radar tracker","level":3,"score":0.47108209133148193},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4374704957008362},{"id":"https://openalex.org/C154586513","wikidata":"https://www.wikidata.org/wiki/Q4420972","display_name":"Tracking system","level":3,"score":0.436572790145874},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.1035597026348114},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc.2007.4357754","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2007.4357754","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE Intelligent Transportation Systems Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6299999952316284,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306108","display_name":"U.S. Department of Transportation","ror":"https://ror.org/02xfw2e90"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W112716172","https://openalex.org/W1796143565","https://openalex.org/W1874204766","https://openalex.org/W1939098551","https://openalex.org/W1989810136","https://openalex.org/W2040720916","https://openalex.org/W2057526086","https://openalex.org/W2059925457","https://openalex.org/W2116961669","https://openalex.org/W2118877769","https://openalex.org/W2122679244","https://openalex.org/W2124351082","https://openalex.org/W2135980307","https://openalex.org/W2143977549","https://openalex.org/W2151103935","https://openalex.org/W2156909104","https://openalex.org/W2161969291","https://openalex.org/W2211653203","https://openalex.org/W2222641476","https://openalex.org/W2259603449","https://openalex.org/W2260730042","https://openalex.org/W2290412375","https://openalex.org/W2755045124","https://openalex.org/W2758170652","https://openalex.org/W6665087816","https://openalex.org/W6666926345","https://openalex.org/W6677548441"],"related_works":["https://openalex.org/W2803307304","https://openalex.org/W3176389629","https://openalex.org/W4379467923","https://openalex.org/W2800523621","https://openalex.org/W3011975694","https://openalex.org/W2339054183","https://openalex.org/W3151342408","https://openalex.org/W2904294069","https://openalex.org/W191136024","https://openalex.org/W24636857"],"abstract_inverted_index":{"This":[0,124],"paper":[1],"describes":[2],"a":[3,31,56,72,128,149,154,160],"radar-guided":[4],"monocular":[5],"vision":[6,157],"system":[7,140],"that":[8],"detects,":[9],"validates,":[10],"and":[11,16,45,159],"tracks":[12],"the":[13,39,48,69,78,86,90,103,111,132],"preceding":[14,58],"vehicle":[15,73,114,151],"thus":[17],"predicts":[18],"its":[19,119],"lane-change":[20],"intentions.":[21],"A":[22],"vision-based":[23],"lane":[24,88],"tracking":[25,108],"process":[26,130],"is":[27,84,93,115],"developed":[28],"to":[29,37,42,53,67,117],"create":[30],"stable":[32],"motion":[33,135],"model":[34],"in":[35,74,85],"order":[36],"map":[38],"radar":[40,155],"targets":[41],"image":[43],"coordinates":[44],"consequently":[46],"generate":[47],"region":[49],"of":[50,71,110,121],"interest":[51],"(ROI)":[52],"search":[54],"for":[55,131],"potential":[57],"vehicle.":[59],"Model-based":[60],"object":[61],"classification":[62],"algorithms":[63],"are":[64],"then":[65],"applied":[66],"validate":[68],"existence":[70],"this":[75],"ROI.":[76],"Once":[77],"detected":[79],"primary":[80,112,133],"target":[81,113,134],"vehicle,":[82,92],"which":[83],"same":[87],"as":[89],"host":[91,104,161],"validated,":[94],"it":[95,101],"will":[96],"be":[97],"continuously":[98],"tracked":[99],"until":[100],"leaves":[102],"lane.":[105],"The":[106,137],"spatial-temporal":[107],"history":[109],"used":[116],"infer":[118],"intention":[120],"changing":[122],"lanes.":[123],"prediction":[125],"results":[126],"from":[127],"characterization":[129],"vector.":[136],"radar-vision":[138],"integrated":[139],"has":[141],"been":[142],"evaluated":[143],"on":[144],"real-world":[145],"data":[146],"collected":[147],"using":[148],"test":[150],"equipped":[152],"with":[153],"sensor,":[156,158],"processor.":[162]},"counts_by_year":[{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}