{"id":"https://openalex.org/W2134829856","doi":"https://doi.org/10.1109/ivs.2014.6856489","title":"Night-vision stereo grid mapping for digital map localization","display_name":"Night-vision stereo grid mapping for digital map localization","publication_year":2014,"publication_date":"2014-06-01","ids":{"openalex":"https://openalex.org/W2134829856","doi":"https://doi.org/10.1109/ivs.2014.6856489","mag":"2134829856"},"language":"en","primary_location":{"id":"doi:10.1109/ivs.2014.6856489","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2014.6856489","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Intelligent Vehicles Symposium Proceedings","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/A5068728096","display_name":"Florian Sch\u00fcle","orcid":null},"institutions":[{"id":"https://openalex.org/I196349391","display_name":"Universit\u00e4t Ulm","ror":"https://ror.org/032000t02","country_code":"DE","type":"education","lineage":["https://openalex.org/I196349391"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Florian Schule","raw_affiliation_strings":["Universitat Ulm, Ulm, Baden-W\u00c3\u00bcrttemberg, DE","Inst. of Meas., Control, & Microtechnol., Univ. of Ulm, Ulm, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitat Ulm, Ulm, Baden-W\u00c3\u00bcrttemberg, DE","institution_ids":[]},{"raw_affiliation_string":"Inst. of Meas., Control, & Microtechnol., Univ. of Ulm, Ulm, Germany","institution_ids":["https://openalex.org/I196349391"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052499308","display_name":"Marc Steven Kr\u00e4mer","orcid":null},"institutions":[{"id":"https://openalex.org/I206895457","display_name":"University of Siegen","ror":"https://ror.org/02azyry73","country_code":"DE","type":"education","lineage":["https://openalex.org/I206895457"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Marc Steven Kramer","raw_affiliation_strings":["Universitat Siegen, Siegen, Nordrhein-Westfalen, DE","Inst. of RealTime Learning Syst., Univ. of Siegen, Siegen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitat Siegen, Siegen, Nordrhein-Westfalen, DE","institution_ids":["https://openalex.org/I206895457"]},{"raw_affiliation_string":"Inst. of RealTime Learning Syst., Univ. of Siegen, Siegen, Germany","institution_ids":["https://openalex.org/I206895457"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109978166","display_name":"Roland Schweiger","orcid":null},"institutions":[{"id":"https://openalex.org/I4210156906","display_name":"Daimler (United States)","ror":"https://ror.org/05angxc35","country_code":"US","type":"company","lineage":["https://openalex.org/I4210156906","https://openalex.org/I891521709"]},{"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":"Roland Schweiger","raw_affiliation_strings":["Daimler AG, Stuttgart, Baden-W\u00c3\u00bcrttemberg, DE","[Daimler AG, Ulm, Germany]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Daimler AG, Stuttgart, Baden-W\u00c3\u00bcrttemberg, DE","institution_ids":["https://openalex.org/I4210156906"]},{"raw_affiliation_string":"[Daimler AG, Ulm, Germany]","institution_ids":["https://openalex.org/I891521709"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110635659","display_name":"Klaus-Dieter Kuhnert","orcid":null},"institutions":[{"id":"https://openalex.org/I206895457","display_name":"University of Siegen","ror":"https://ror.org/02azyry73","country_code":"DE","type":"education","lineage":["https://openalex.org/I206895457"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Klaus-Dieter Kuhnert","raw_affiliation_strings":["Universitat Siegen, Siegen, Nordrhein-Westfalen, DE","Inst. of RealTime Learning Syst., Univ. of Siegen, Siegen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitat Siegen, Siegen, Nordrhein-Westfalen, DE","institution_ids":["https://openalex.org/I206895457"]},{"raw_affiliation_string":"Inst. of RealTime Learning Syst., Univ. of Siegen, Siegen, Germany","institution_ids":["https://openalex.org/I206895457"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085054529","display_name":"Klaus Dietmayer","orcid":"https://orcid.org/0000-0002-1651-014X"},"institutions":[{"id":"https://openalex.org/I196349391","display_name":"Universit\u00e4t Ulm","ror":"https://ror.org/032000t02","country_code":"DE","type":"education","lineage":["https://openalex.org/I196349391"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Klaus Dietmayer","raw_affiliation_strings":["Universitat Ulm, Ulm, Baden-W\u00c3\u00bcrttemberg, DE","Inst. of Meas., Control, & Microtechnol., Univ. of Ulm, Ulm, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitat Ulm, Ulm, Baden-W\u00c3\u00bcrttemberg, DE","institution_ids":[]},{"raw_affiliation_string":"Inst. of Meas., Control, & Microtechnol., Univ. of Ulm, Ulm, Germany","institution_ids":["https://openalex.org/I196349391"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9255,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.7920219,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"743","last_page":"749"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/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/T10531","display_name":"Advanced Vision and Imaging","score":0.9993000030517578,"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/occupancy-grid-mapping","display_name":"Occupancy grid mapping","score":0.8837192058563232},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.8296658992767334},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7619156837463379},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6995398998260498},{"id":"https://openalex.org/keywords/grid-reference","display_name":"Grid reference","score":0.6305169463157654},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.5711084604263306},{"id":"https://openalex.org/keywords/stereopsis","display_name":"Stereopsis","score":0.5393763184547424},{"id":"https://openalex.org/keywords/stereo-camera","display_name":"Stereo camera","score":0.4872490465641022},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.48238030076026917},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4760574996471405},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.43544572591781616},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.41522926092147827},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.3322295844554901},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.30872872471809387},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.29551374912261963},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.20403552055358887},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.15470847487449646}],"concepts":[{"id":"https://openalex.org/C57077369","wikidata":"https://www.wikidata.org/wiki/Q7075747","display_name":"Occupancy grid mapping","level":4,"score":0.8837192058563232},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.8296658992767334},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7619156837463379},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6995398998260498},{"id":"https://openalex.org/C156172958","wikidata":"https://www.wikidata.org/wiki/Q3438407","display_name":"Grid reference","level":4,"score":0.6305169463157654},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.5711084604263306},{"id":"https://openalex.org/C68537008","wikidata":"https://www.wikidata.org/wiki/Q247932","display_name":"Stereopsis","level":2,"score":0.5393763184547424},{"id":"https://openalex.org/C185078393","wikidata":"https://www.wikidata.org/wiki/Q313783","display_name":"Stereo camera","level":2,"score":0.4872490465641022},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.48238030076026917},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4760574996471405},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.43544572591781616},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.41522926092147827},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.3322295844554901},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.30872872471809387},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.29551374912261963},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.20403552055358887},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.15470847487449646},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ivs.2014.6856489","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2014.6856489","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Intelligent Vehicles Symposium Proceedings","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7799999713897705,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W161578567","https://openalex.org/W1520813427","https://openalex.org/W1835023670","https://openalex.org/W1965341230","https://openalex.org/W1977056612","https://openalex.org/W1993436321","https://openalex.org/W2001975932","https://openalex.org/W2006264839","https://openalex.org/W2025340773","https://openalex.org/W2044263254","https://openalex.org/W2046428919","https://openalex.org/W2064658112","https://openalex.org/W2075429750","https://openalex.org/W2077712408","https://openalex.org/W2081532106","https://openalex.org/W2096045964","https://openalex.org/W2100193157","https://openalex.org/W2105934661","https://openalex.org/W2112325580","https://openalex.org/W2116630903","https://openalex.org/W2117248802","https://openalex.org/W2119404509","https://openalex.org/W2129139615","https://openalex.org/W2145951052","https://openalex.org/W2156128637","https://openalex.org/W2161337244","https://openalex.org/W2171765996","https://openalex.org/W2336416123","https://openalex.org/W6606543600","https://openalex.org/W6631209646"],"related_works":["https://openalex.org/W2510414167","https://openalex.org/W2077648827","https://openalex.org/W2140960507","https://openalex.org/W2053304376","https://openalex.org/W1989826787","https://openalex.org/W2017300768","https://openalex.org/W2576107656","https://openalex.org/W2950986093","https://openalex.org/W1920701206","https://openalex.org/W2146445301"],"abstract_inverted_index":{"Accurate":[0],"and":[1,77,84,125,144,170],"robust":[2],"environment":[3],"perception":[4],"is":[5,34,123,130],"a":[6,35,62,101,119,133,137,154],"prerequisite":[7],"for":[8,25,100],"advanced":[9],"driver":[10],"assistance":[11],"systems":[12,22],"such":[13,118],"as":[14,164],"parking":[15],"assistance,":[16],"collision":[17],"avoidance":[18],"or":[19,48],"night":[20],"vision":[21],"but":[23],"also":[24],"robot":[26],"navigation.":[27],"In":[28,107],"this":[29],"context,":[30],"occupancy":[31,103],"grid":[32,59,104,121,161],"mapping":[33,60,105],"common":[36],"way":[37],"to":[38,94,132,146],"represent":[39],"the":[40,55,89,96,108,112,114,147,159,179],"static":[41],"car":[42],"surroundings":[43],"perceived":[44],"by":[45,70,74],"radar,":[46],"laser":[47],"camera":[49,64],"sensors.":[50],"This":[51],"work":[52,113],"focuses":[53],"on":[54,88,136,167],"challenges":[56],"of":[57,79,111,117],"nighttime":[58],"with":[61,172],"stereo":[63,120,128,160],"\u2014":[65],"disparity":[66,97],"images":[67,91],"are":[68,92,151],"perturbed":[69],"severe":[71],"noise":[72],"caused":[73],"wrong":[75],"correspondences":[76],"headlights":[78],"oncoming":[80],"vehicles.":[81],"Noise":[82],"removal":[83],"headlight":[85],"detection":[86],"based":[87],"input":[90],"proposed":[93],"make":[95],"image":[98],"suitable":[99],"2.5D":[102],"algorithm.":[106],"second":[109],"part":[110],"concrete":[115],"application":[116],"map":[122,129,150,162],"shown":[124],"evaluated:":[126],"The":[127,141],"applied":[131],"localization":[134],"task":[135],"digital":[138],"navigation":[139,149],"map.":[140],"vehicle's":[142],"position":[143],"orientation":[145],"given":[148],"estimated":[152],"in":[153],"particle":[155],"filter":[156],"system":[157,177],"where":[158],"serves":[163],"measurement.":[165],"Evaluations":[166],"real-world":[168],"sequences":[169],"comparisons":[171],"an":[173],"existing":[174],"radar-based":[175],"positioning":[176],"classify":[178],"approach's":[180],"performance.":[181]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
