{"id":"https://openalex.org/W3028470666","doi":"https://doi.org/10.1109/iv47402.2020.9304703","title":"Deriving Spatial Occupancy Evidence from Radar Detection Data","display_name":"Deriving Spatial Occupancy Evidence from Radar Detection Data","publication_year":2020,"publication_date":"2020-10-19","ids":{"openalex":"https://openalex.org/W3028470666","doi":"https://doi.org/10.1109/iv47402.2020.9304703","mag":"3028470666"},"language":"en","primary_location":{"id":"doi:10.1109/iv47402.2020.9304703","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iv47402.2020.9304703","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Intelligent Vehicles Symposium (IV)","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/A5044056897","display_name":"Philipp Berthold","orcid":"https://orcid.org/0000-0001-5953-198X"},"institutions":[{"id":"https://openalex.org/I40527276","display_name":"Universit\u00e4t der Bundeswehr M\u00fcnchen","ror":"https://ror.org/05kkv3f82","country_code":"DE","type":"education","lineage":["https://openalex.org/I1315109972","https://openalex.org/I40527276","https://openalex.org/I4387152969"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Philipp Berthold","raw_affiliation_strings":["Institute for Autonomous Systems Technology (TAS) of the University of the Bundeswehr Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Autonomous Systems Technology (TAS) of the University of the Bundeswehr Munich, Germany","institution_ids":["https://openalex.org/I40527276"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102966289","display_name":"M. Michaelis","orcid":"https://orcid.org/0000-0002-5403-8114"},"institutions":[{"id":"https://openalex.org/I40527276","display_name":"Universit\u00e4t der Bundeswehr M\u00fcnchen","ror":"https://ror.org/05kkv3f82","country_code":"DE","type":"education","lineage":["https://openalex.org/I1315109972","https://openalex.org/I40527276","https://openalex.org/I4387152969"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Martin Michaelis","raw_affiliation_strings":["Institute for Autonomous Systems Technology (TAS) of the University of the Bundeswehr Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Autonomous Systems Technology (TAS) of the University of the Bundeswehr Munich, Germany","institution_ids":["https://openalex.org/I40527276"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016189127","display_name":"Thorsten Luettel","orcid":null},"institutions":[{"id":"https://openalex.org/I40527276","display_name":"Universit\u00e4t der Bundeswehr M\u00fcnchen","ror":"https://ror.org/05kkv3f82","country_code":"DE","type":"education","lineage":["https://openalex.org/I1315109972","https://openalex.org/I40527276","https://openalex.org/I4387152969"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Thorsten Luettel","raw_affiliation_strings":["Institute for Autonomous Systems Technology (TAS) of the University of the Bundeswehr Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Autonomous Systems Technology (TAS) of the University of the Bundeswehr Munich, Germany","institution_ids":["https://openalex.org/I40527276"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110289998","display_name":"Daniel Mei\u00dfner","orcid":null},"institutions":[{"id":"https://openalex.org/I4210156768","display_name":"BMW Group (Germany)","ror":"https://ror.org/044kkbh92","country_code":"DE","type":"company","lineage":["https://openalex.org/I4210156768"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Daniel Meissner","raw_affiliation_strings":["BMW Group, Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"BMW Group, Munich, Germany","institution_ids":["https://openalex.org/I4210156768"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109250847","display_name":"Hans\u2010Joachim Wuensche","orcid":null},"institutions":[{"id":"https://openalex.org/I40527276","display_name":"Universit\u00e4t der Bundeswehr M\u00fcnchen","ror":"https://ror.org/05kkv3f82","country_code":"DE","type":"education","lineage":["https://openalex.org/I1315109972","https://openalex.org/I40527276","https://openalex.org/I4387152969"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Hans-Joachim Wuensche","raw_affiliation_strings":["Institute for Autonomous Systems Technology (TAS) of the University of the Bundeswehr Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Autonomous Systems Technology (TAS) of the University of the Bundeswehr Munich, Germany","institution_ids":["https://openalex.org/I40527276"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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":0.9957000017166138,"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":0.9957000017166138,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9828000068664551,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T13282","display_name":"Automated Road and Building Extraction","score":0.9760000109672546,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.7339320182800293},{"id":"https://openalex.org/keywords/occupancy","display_name":"Occupancy","score":0.7134323716163635},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7101154327392578},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.619502067565918},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5344328880310059},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.491233766078949},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.4690908193588257},{"id":"https://openalex.org/keywords/raw-data","display_name":"Raw data","score":0.468021959066391},{"id":"https://openalex.org/keywords/occupancy-grid-mapping","display_name":"Occupancy grid mapping","score":0.4662517309188843},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4263668656349182},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.41398561000823975},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.37672075629234314},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34021520614624023},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.14646250009536743},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11796540021896362},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11441990733146667}],"concepts":[{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.7339320182800293},{"id":"https://openalex.org/C160331591","wikidata":"https://www.wikidata.org/wiki/Q7075743","display_name":"Occupancy","level":2,"score":0.7134323716163635},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7101154327392578},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.619502067565918},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5344328880310059},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.491233766078949},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.4690908193588257},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.468021959066391},{"id":"https://openalex.org/C57077369","wikidata":"https://www.wikidata.org/wiki/Q7075747","display_name":"Occupancy grid mapping","level":4,"score":0.4662517309188843},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4263668656349182},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.41398561000823975},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.37672075629234314},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34021520614624023},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.14646250009536743},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11796540021896362},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11441990733146667},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.0},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iv47402.2020.9304703","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iv47402.2020.9304703","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land","score":0.41999998688697815}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1512921847","https://openalex.org/W2043811545","https://openalex.org/W2044263254","https://openalex.org/W2085612090","https://openalex.org/W2091365726","https://openalex.org/W2118016294","https://openalex.org/W2119362785","https://openalex.org/W2343731507","https://openalex.org/W2535987423","https://openalex.org/W2740624029","https://openalex.org/W2771901986","https://openalex.org/W2773571959","https://openalex.org/W2806340142","https://openalex.org/W2904296639","https://openalex.org/W2904900506","https://openalex.org/W2971261647","https://openalex.org/W6704441660","https://openalex.org/W6728928525"],"related_works":["https://openalex.org/W4282043467","https://openalex.org/W2162255319","https://openalex.org/W3033776171","https://openalex.org/W1999050017","https://openalex.org/W4293877624","https://openalex.org/W4229444815","https://openalex.org/W1992005931","https://openalex.org/W3210018437","https://openalex.org/W2990606766","https://openalex.org/W4200216229"],"abstract_inverted_index":{"Central":[0],"low-level":[1],"sensor":[2,45,51,101,148,187],"data":[3,35,46,58,97,188],"fusion":[4,189],"approaches":[5,105],"are":[6,132,173],"getting":[7],"more":[8],"popular":[9,54],"in":[10,22,109,183],"advanced":[11],"driver":[12],"assistant":[13],"systems.":[14],"They":[15],"allow":[16],"for":[17],"the":[18,23,29,42,85,96,110,135,140,162],"resolution":[19],"of":[20,25,31,44,47,57,67,71,112,147,164],"ambiguities":[21],"retrieval":[24],"environmental":[26],"information":[27],"on":[28,175],"basis":[30],"a":[32,68,76,113,184],"large,":[33],"raw":[34],"pool.":[36],"Hereby,":[37],"one":[38],"emerging":[39],"challenge":[40],"is":[41,59,75,81],"unification":[43],"different":[48],"formats":[49],"and":[50,120,138,171,178],"types.":[52],"A":[53],"intermediate":[55],"layer":[56],"given":[60],"by":[61,94,134],"spatial":[62,87,119],"occupancy":[63,107],"grids.":[64],"The":[65,145,168],"conversion":[66,93],"discrete":[69],"list":[70],"radar":[72],"detections,":[73],"which":[74],"commonly":[77],"utilized":[78],"measurement":[79],"format,":[80],"problematic":[82],"due":[83],"to":[84,154],"sparse":[86],"resolution.":[88],"This":[89],"work":[90],"addresses":[91],"this":[92],"interpolating":[95],"spatially":[98],"using":[99],"generic":[100],"model":[102],"knowledge.":[103],"Traditional":[104],"derive":[106],"evidence":[108],"vicinity":[111],"detection.":[114],"In":[115,158],"addition,":[116,159],"we":[117,160],"analyze":[118],"kinematic":[121],"properties":[122],"derived":[123],"from":[124],"Doppler":[125],"measurements,":[126],"compute":[127],"likelihoods":[128],"that":[129],"multiple":[130],"detections":[131],"caused":[133],"same":[136],"object":[137],"deduce":[139],"space":[141,166],"between":[142],"them":[143],"accordingly.":[144],"incorporation":[146],"parameters":[149],"allows":[150],"full-and":[151],"short-range":[152],"radars":[153],"be":[155],"used":[156],"generically.":[157],"outline":[161],"deduction":[163],"free":[165],"evidence.":[167],"elaborated":[169],"models":[170],"algorithms":[172],"evaluated":[174],"realworld":[176],"datasets":[177],"discussed":[179],"w.r.t.":[180],"their":[181],"applicability":[182],"subsequent":[185],"Dempster-Shafer-based":[186],"approach.":[190]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}