{"id":"https://openalex.org/W2774499349","doi":"https://doi.org/10.1109/mfi.2017.8170394","title":"Extended object tracking using IMM approach for a real-world vehicle sensor fusion system","display_name":"Extended object tracking using IMM approach for a real-world vehicle sensor fusion system","publication_year":2017,"publication_date":"2017-11-01","ids":{"openalex":"https://openalex.org/W2774499349","doi":"https://doi.org/10.1109/mfi.2017.8170394","mag":"2774499349"},"language":"en","primary_location":{"id":"doi:10.1109/mfi.2017.8170394","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mfi.2017.8170394","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)","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/A5101882265","display_name":"Ting Yuan","orcid":"https://orcid.org/0000-0002-0713-5974"},"institutions":[{"id":"https://openalex.org/I4210091388","display_name":"Mercedes-Benz Research and Development North America (United States)","ror":"https://ror.org/00b4ram58","country_code":"US","type":"company","lineage":["https://openalex.org/I1332474105","https://openalex.org/I4210091388"]},{"id":"https://openalex.org/I891521709","display_name":"Daimler (Germany)","ror":"https://ror.org/00m0j3d84","country_code":"DE","type":"company","lineage":["https://openalex.org/I891521709"]}],"countries":["DE","US"],"is_corresponding":true,"raw_author_name":"Ting Yuan","raw_affiliation_strings":["Group Research and Advanced Engineering, Daimler, AG, Germany","Mercedes-Benz Research and Development, North America, USA"],"affiliations":[{"raw_affiliation_string":"Group Research and Advanced Engineering, Daimler, AG, Germany","institution_ids":["https://openalex.org/I891521709"]},{"raw_affiliation_string":"Mercedes-Benz Research and Development, North America, USA","institution_ids":["https://openalex.org/I4210091388"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065058613","display_name":"Krishanth Krishnan","orcid":"https://orcid.org/0000-0001-7276-4323"},"institutions":[{"id":"https://openalex.org/I4210091388","display_name":"Mercedes-Benz Research and Development North America (United States)","ror":"https://ror.org/00b4ram58","country_code":"US","type":"company","lineage":["https://openalex.org/I1332474105","https://openalex.org/I4210091388"]},{"id":"https://openalex.org/I891521709","display_name":"Daimler (Germany)","ror":"https://ror.org/00m0j3d84","country_code":"DE","type":"company","lineage":["https://openalex.org/I891521709"]}],"countries":["DE","US"],"is_corresponding":false,"raw_author_name":"Krishanth Krishnan","raw_affiliation_strings":["Group Research and Advanced Engineering, Daimler, AG, Germany","Mercedes-Benz Research and Development, North America, USA"],"affiliations":[{"raw_affiliation_string":"Group Research and Advanced Engineering, Daimler, AG, Germany","institution_ids":["https://openalex.org/I891521709"]},{"raw_affiliation_string":"Mercedes-Benz Research and Development, North America, USA","institution_ids":["https://openalex.org/I4210091388"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046915434","display_name":"Bharanidhar Duraisamy","orcid":null},"institutions":[{"id":"https://openalex.org/I891521709","display_name":"Daimler (Germany)","ror":"https://ror.org/00m0j3d84","country_code":"DE","type":"company","lineage":["https://openalex.org/I891521709"]},{"id":"https://openalex.org/I4210091388","display_name":"Mercedes-Benz Research and Development North America (United States)","ror":"https://ror.org/00b4ram58","country_code":"US","type":"company","lineage":["https://openalex.org/I1332474105","https://openalex.org/I4210091388"]}],"countries":["DE","US"],"is_corresponding":false,"raw_author_name":"Bharanidhar Duraisamy","raw_affiliation_strings":["Group Research and Advanced Engineering, Daimler, AG, Germany","Mercedes-Benz Research and Development, North America, USA"],"affiliations":[{"raw_affiliation_string":"Group Research and Advanced Engineering, Daimler, AG, Germany","institution_ids":["https://openalex.org/I891521709"]},{"raw_affiliation_string":"Mercedes-Benz Research and Development, North America, USA","institution_ids":["https://openalex.org/I4210091388"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034235140","display_name":"Michael Maile","orcid":null},"institutions":[{"id":"https://openalex.org/I4210091388","display_name":"Mercedes-Benz Research and Development North America (United States)","ror":"https://ror.org/00b4ram58","country_code":"US","type":"company","lineage":["https://openalex.org/I1332474105","https://openalex.org/I4210091388"]},{"id":"https://openalex.org/I891521709","display_name":"Daimler (Germany)","ror":"https://ror.org/00m0j3d84","country_code":"DE","type":"company","lineage":["https://openalex.org/I891521709"]}],"countries":["DE","US"],"is_corresponding":false,"raw_author_name":"Michael Maile","raw_affiliation_strings":["Group Research and Advanced Engineering, Daimler, AG, Germany","Mercedes-Benz Research and Development, North America, USA"],"affiliations":[{"raw_affiliation_string":"Group Research and Advanced Engineering, Daimler, AG, Germany","institution_ids":["https://openalex.org/I891521709"]},{"raw_affiliation_string":"Mercedes-Benz Research and Development, North America, USA","institution_ids":["https://openalex.org/I4210091388"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085755893","display_name":"Tilo Schwarz","orcid":null},"institutions":[{"id":"https://openalex.org/I4210091388","display_name":"Mercedes-Benz Research and Development North America (United States)","ror":"https://ror.org/00b4ram58","country_code":"US","type":"company","lineage":["https://openalex.org/I1332474105","https://openalex.org/I4210091388"]},{"id":"https://openalex.org/I891521709","display_name":"Daimler (Germany)","ror":"https://ror.org/00m0j3d84","country_code":"DE","type":"company","lineage":["https://openalex.org/I891521709"]}],"countries":["DE","US"],"is_corresponding":false,"raw_author_name":"Tilo Schwarz","raw_affiliation_strings":["Group Research and Advanced Engineering, Daimler, AG, Germany","Mercedes-Benz Research and Development, North America, USA"],"affiliations":[{"raw_affiliation_string":"Group Research and Advanced Engineering, Daimler, AG, Germany","institution_ids":["https://openalex.org/I891521709"]},{"raw_affiliation_string":"Mercedes-Benz Research and Development, North America, USA","institution_ids":["https://openalex.org/I4210091388"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101882265"],"corresponding_institution_ids":["https://openalex.org/I4210091388","https://openalex.org/I891521709"],"apc_list":null,"apc_paid":null,"fwci":2.1452,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.90666732,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"638","last_page":"643"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9965999722480774,"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"}},"topics":[{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9965999722480774,"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/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9930999875068665,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9872999787330627,"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":0.623965322971344},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.6144604086875916},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6101964712142944},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5809432864189148},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.5508466362953186},{"id":"https://openalex.org/keywords/vehicle-tracking-system","display_name":"Vehicle tracking system","score":0.529578685760498},{"id":"https://openalex.org/keywords/kinematics","display_name":"Kinematics","score":0.5235074162483215},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.48082101345062256},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.3271002471446991},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.23728224635124207}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.623965322971344},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.6144604086875916},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6101964712142944},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5809432864189148},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.5508466362953186},{"id":"https://openalex.org/C84119951","wikidata":"https://www.wikidata.org/wiki/Q3498530","display_name":"Vehicle tracking system","level":3,"score":0.529578685760498},{"id":"https://openalex.org/C39920418","wikidata":"https://www.wikidata.org/wiki/Q11476","display_name":"Kinematics","level":2,"score":0.5235074162483215},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.48082101345062256},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.3271002471446991},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.23728224635124207},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mfi.2017.8170394","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mfi.2017.8170394","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W169414593","https://openalex.org/W1531532259","https://openalex.org/W1673310716","https://openalex.org/W1976511700","https://openalex.org/W2003550515","https://openalex.org/W2007097714","https://openalex.org/W2079150870","https://openalex.org/W2132103241","https://openalex.org/W2145951052","https://openalex.org/W2165948751","https://openalex.org/W2245943671","https://openalex.org/W2343731507","https://openalex.org/W2588641558","https://openalex.org/W2754500727","https://openalex.org/W2915006641","https://openalex.org/W4388475847","https://openalex.org/W6637131181"],"related_works":["https://openalex.org/W2789522126","https://openalex.org/W2066693961","https://openalex.org/W2368363778","https://openalex.org/W122584421","https://openalex.org/W4244295168","https://openalex.org/W2753351751","https://openalex.org/W3185180338","https://openalex.org/W2889348933","https://openalex.org/W2351643838","https://openalex.org/W2994507026"],"abstract_inverted_index":{"Autonomous":[0],"driving":[1,13],"poses":[2],"unique":[3],"challenges":[4],"for":[5,38,52,133,146],"vehicle":[6,18,53],"environment":[7,14],"perception":[8,44],"due":[9,86,210],"to":[10,55,65,87,156,163,195,211],"the":[11,16,27,39,57,91,167,184,191,198,243,252,266],"complicated":[12],"where":[15],"autonomous":[17],"connects":[19],"itself":[20],"with":[21,129,238],"surrounding":[22],"objects.":[23],"Precise":[24],"tracking":[25,69,77,139],"of":[26,41,90,96,166,226,265],"relevant":[28],"dynamic":[29],"traffic":[30,264],"participants":[31],"(e.g.,":[32,112],"vehicle/byciclist/pedestrian)":[33],"becomes":[34],"a":[35,137,142,151],"key":[36],"component":[37],"task":[40],"comprehensive":[42],"environmental":[43],"and":[45,108,150,159,182],"reliable":[46],"scene":[47],"understanding.":[48],"It":[49,247],"is":[50,78,173,193,203],"necessary":[51],"trackers":[54],"treat":[56],"objects":[58],"as":[59,63],"extended":[60,75,119,235],"(rigid)":[61],"target,":[62],"opposed":[64],"traditional":[66],"point":[67,225],"target":[68,105],"(say,":[70],"in":[71,83,206,216,242,261],"aerospace":[72],"applications).":[73],"The":[74],"object":[76,92,120,236],"an":[79,118,125,177,230,257],"extremely":[80],"challenging":[81],"problem":[82],"real":[84,207,245,262],"world,":[85],"high":[88],"requirements":[89],"estimation":[93,113,259],"on":[94,103,124,175],"accuracy":[95],"kinematic/shape":[97],"information,":[98],"association":[99,153],"robustness,":[100],"model":[101,128,233],"match":[102],"various":[104],"motion":[106],"behaviors,":[107],"statistical":[109,200],"property":[110],"amicability":[111],"consistency/covariance":[114],"reliability).":[115],"We":[116],"present":[117],"tracker":[121,237,254],"-":[122,162],"based":[123,234],"interacting":[126,231],"multiple":[127,232],"unbiased":[130],"mixing":[131],"estimator":[132],"kinematic":[134,158],"information":[135,161],"at":[136],"specified":[138],"reference":[140],"point,":[141],"truncated":[143],"Gaussian":[144],"scheme":[145],"shape":[147,160],"(width/length/orientation)":[148],"estimation,":[149],"hierarchical":[152],"method":[154],"according":[155],"both":[157],"tackle":[164],"all":[165],"major":[168],"challenges.":[169],"Our":[170],"special":[171],"effort":[172],"put":[174],"handling":[176],"intriguing":[178],"conflict":[179],"between":[180],"theory":[181],"practice:":[183],"so-called":[185],"likelihood":[186,192,240],"credibility":[187],"issue.":[188],"That":[189],"is,":[190],"expected":[194],"credibly":[196],"reflect":[197],"data":[199,218],"probability":[201],"but":[202],"actually":[204],"distorted/drifting":[205],"world":[208],"systems,":[209],"mainly":[212],"artificial":[213],"physics":[214],"introduced":[215],"multiple-stage":[217],"processing.":[219],"In":[220],"this":[221],"study,":[222],"from":[223],"systematic":[224],"view,":[227],"we":[228],"design":[229],"proper":[239],"compensation":[241],"statistically-distorted":[244],"world.":[246,268],"can":[248,255],"be":[249],"shown":[250],"that":[251],"presented":[253],"deliver":[256],"effective":[258],"performance":[260],"road":[263],"imperfect":[267]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
