{"id":"https://openalex.org/W2113528988","doi":"https://doi.org/10.1109/iros.2003.1250757","title":"An experimental comparison of localisation methods, the mhl sessions","display_name":"An experimental comparison of localisation methods, the mhl sessions","publication_year":2004,"publication_date":"2004-07-08","ids":{"openalex":"https://openalex.org/W2113528988","doi":"https://doi.org/10.1109/iros.2003.1250757","mag":"2113528988"},"language":"en","primary_location":{"id":"doi:10.1109/iros.2003.1250757","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2003.1250757","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003) (Cat. No.03CH37453)","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/A5056213200","display_name":"Steen Savstrup Kristensen","orcid":"https://orcid.org/0000-0001-5928-1802"},"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"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"S. Kristensen","raw_affiliation_strings":["DaimlerChrysler Research and Technology, Cognition, Robotics, Berlin, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DaimlerChrysler Research and Technology, Cognition, Robotics, Berlin, Germany","institution_ids":["https://openalex.org/I891521709"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028082686","display_name":"Patric Jensfelt","orcid":"https://orcid.org/0000-0002-1170-7162"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"P. Jensfelt","raw_affiliation_strings":["Centre for Autonomous Systems, Royal Institute of Technology, Stockholm, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre for Autonomous Systems, Royal Institute of Technology, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.1635,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.9407394,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"1","issue":null,"first_page":"992","last_page":"997"},"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":0.9991000294685364,"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":0.9991000294685364,"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/T11236","display_name":"Control Systems and Identification","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10876","display_name":"Fault Detection and Control Systems","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/computer-science","display_name":"Computer science","score":0.6855320334434509},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.6190935373306274},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.6167940497398376},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5346837043762207},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4819600284099579},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.41259580850601196},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.40659159421920776},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.361924409866333},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3561273217201233}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6855320334434509},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.6190935373306274},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.6167940497398376},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5346837043762207},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4819600284099579},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.41259580850601196},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.40659159421920776},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.361924409866333},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3561273217201233},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iros.2003.1250757","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2003.1250757","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003) (Cat. No.03CH37453)","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":23,"referenced_works":["https://openalex.org/W73143588","https://openalex.org/W1483307070","https://openalex.org/W1501513361","https://openalex.org/W1518703880","https://openalex.org/W1554266779","https://openalex.org/W1568675212","https://openalex.org/W1573376273","https://openalex.org/W1577509784","https://openalex.org/W2099034771","https://openalex.org/W2104530776","https://openalex.org/W2109749443","https://openalex.org/W2120712855","https://openalex.org/W2135269715","https://openalex.org/W2149572785","https://openalex.org/W2165848869","https://openalex.org/W2168237427","https://openalex.org/W2169545352","https://openalex.org/W2571050459","https://openalex.org/W2653006739","https://openalex.org/W3023287479","https://openalex.org/W3187867541","https://openalex.org/W6630924310","https://openalex.org/W6740189042"],"related_works":["https://openalex.org/W1580685205","https://openalex.org/W2760382975","https://openalex.org/W2349716249","https://openalex.org/W2120941928","https://openalex.org/W1463864201","https://openalex.org/W3191856393","https://openalex.org/W2146909562","https://openalex.org/W2745986669","https://openalex.org/W2122871747","https://openalex.org/W3114279067"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3],"compare":[4],"multi":[5,17],"hypothesis":[6,18],"localisation":[7,13],"(MHL)-which":[8],"is":[9,31],"a":[10,34,46,76],"mobile":[11],"robot":[12,70],"method":[14],"based":[15],"on":[16],"tracking":[19],"-":[20],"with":[21],"six":[22],"other":[23,62,97],"methods":[24,63,99],"reported":[25,98],"in":[26,64,100],"the":[27,50,69,86],"literature.":[28],"The":[29,53],"comparison":[30,48],"performed":[32],"using":[33,75],"standard":[35,87],"set":[36],"of":[37,49,66,102],"test":[38],"data":[39],"and":[40,85],"corresponding":[41],"evaluation":[42],"tools,":[43],"thus":[44],"facilitating":[45],"direct":[47],"obtained":[51],"results.":[52],"experiments":[54],"show":[55],"that":[56],"MHL":[57,84],"compares":[58],"favourably":[59],"to":[60,107],"all":[61,96],"terms":[65,101],"recovering":[67],"when":[68],"has":[71],"been":[72],"kidnapped.":[73],"When":[74],"validation":[77],"gate":[78],"for":[79],"filtering":[80],"out":[81],"noisy":[82],"measurements,":[83],"extended":[88],"Kalman":[89],"filter":[90],"both":[91],"perform":[92],"as":[93,95],"well":[94],"accuracy":[103],"while":[104],"being":[105],"faster":[106],"compute.":[108]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
