{"id":"https://openalex.org/W2990407400","doi":"https://doi.org/10.1109/itsc.2019.8917319","title":"Extrinsic Multi Sensor Calibration under Uncertainties","display_name":"Extrinsic Multi Sensor Calibration under Uncertainties","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2990407400","doi":"https://doi.org/10.1109/itsc.2019.8917319","mag":"2990407400"},"language":"en","primary_location":{"id":"doi:10.1109/itsc.2019.8917319","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2019.8917319","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Intelligent Transportation Systems Conference (ITSC)","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/A5001180910","display_name":"Tilman K\u00fchner","orcid":null},"institutions":[{"id":"https://openalex.org/I143379178","display_name":"FZI Research Center for Information Technology","ror":"https://ror.org/04kdh6x72","country_code":"DE","type":"nonprofit","lineage":["https://openalex.org/I143379178"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Tilman Kuhner","raw_affiliation_strings":["Research Department \"Mobile Perception Systems\", FZI Research Center for Information Technology, Karlsruhe, Germany"],"affiliations":[{"raw_affiliation_string":"Research Department \"Mobile Perception Systems\", FZI Research Center for Information Technology, Karlsruhe, Germany","institution_ids":["https://openalex.org/I143379178"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002543843","display_name":"Julius K\u00fcmmerle","orcid":null},"institutions":[{"id":"https://openalex.org/I143379178","display_name":"FZI Research Center for Information Technology","ror":"https://ror.org/04kdh6x72","country_code":"DE","type":"nonprofit","lineage":["https://openalex.org/I143379178"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Julius Kummerle","raw_affiliation_strings":["Research Department \"Mobile Perception Systems\", FZI Research Center for Information Technology, Karlsruhe, Germany"],"affiliations":[{"raw_affiliation_string":"Research Department \"Mobile Perception Systems\", FZI Research Center for Information Technology, Karlsruhe, Germany","institution_ids":["https://openalex.org/I143379178"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5001180910"],"corresponding_institution_ids":["https://openalex.org/I143379178"],"apc_list":null,"apc_paid":null,"fwci":1.9835,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.88407243,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"3921","last_page":"3927"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9995999932289124,"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":0.9995999932289124,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9965000152587891,"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/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.7817002534866333},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.7506197094917297},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6920152902603149},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.6067214608192444},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5759400129318237},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5580753087997437},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.5408807396888733},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5215582847595215},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5001933574676514},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.4345740079879761},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3593081533908844},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.19093888998031616},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.18631893396377563},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10073703527450562},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0777401328086853}],"concepts":[{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.7817002534866333},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.7506197094917297},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6920152902603149},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.6067214608192444},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5759400129318237},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5580753087997437},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.5408807396888733},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5215582847595215},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5001933574676514},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.4345740079879761},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3593081533908844},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.19093888998031616},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.18631893396377563},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10073703527450562},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0777401328086853},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc.2019.8917319","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2019.8917319","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Intelligent Transportation Systems Conference (ITSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.4300000071525574,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1507290626","https://openalex.org/W1512698229","https://openalex.org/W1663973292","https://openalex.org/W1974258316","https://openalex.org/W1990398405","https://openalex.org/W1991567646","https://openalex.org/W1998806813","https://openalex.org/W2009086942","https://openalex.org/W2058560716","https://openalex.org/W2068445671","https://openalex.org/W2133505209","https://openalex.org/W2146881125","https://openalex.org/W2148820580","https://openalex.org/W2401617991","https://openalex.org/W2512689497","https://openalex.org/W2741562645","https://openalex.org/W2753565714","https://openalex.org/W2801348287","https://openalex.org/W2806340142","https://openalex.org/W2909376995","https://openalex.org/W2966985372","https://openalex.org/W3139860299","https://openalex.org/W6680028861","https://openalex.org/W6682324061","https://openalex.org/W7020061393"],"related_works":["https://openalex.org/W4319317934","https://openalex.org/W2901265155","https://openalex.org/W2956374172","https://openalex.org/W3000097931","https://openalex.org/W4319837668","https://openalex.org/W4308071650","https://openalex.org/W3188333020","https://openalex.org/W4281783339","https://openalex.org/W2354322770","https://openalex.org/W1964041166"],"abstract_inverted_index":{"Highly":[0],"accurate":[1],"extrinsic":[2],"sensor":[3,45],"calibration":[4,40,56],"is":[5,37],"crucial":[6],"for":[7,54],"environment":[8],"perception":[9],"of":[10,30,63,74],"robots":[11],"as":[12],"it":[13],"allows":[14],"to":[15],"fuse":[16],"information":[17],"from":[18],"different":[19,31,34],"sensors.":[20],"On":[21],"todays":[22],"robotic":[23],"platforms,":[24],"e.g.":[25,76],"autonomous":[26],"cars,":[27],"a":[28,58],"variety":[29],"sensors":[32,75],"with":[33,71],"measurement":[35],"characteristics":[36],"used.":[38],"Current":[39],"approaches":[41],"ignore":[42],"the":[43],"individual":[44],"characteristics.":[46,65],"In":[47],"this":[48],"work,":[49],"we":[50],"derive":[51],"an":[52],"approach":[53,94],"optimal":[55],"in":[57,86],"probabilistic":[59],"sense":[60],"under":[61],"consideration":[62],"these":[64],"Our":[66],"method":[67],"can":[68],"be":[69],"used":[70],"any":[72],"type":[73],"camera,":[77],"3D":[78],"LiDAR,":[79],"line":[80],"scanner":[81],"and":[82,88],"radar.":[83],"We":[84],"show":[85],"simulation":[87],"on":[89],"real":[90],"data":[91],"that":[92],"our":[93],"significantly":[95],"outperforms":[96],"state-of-the-art":[97],"approaches.":[98]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
