{"id":"https://openalex.org/W3089630663","doi":"https://doi.org/10.1109/icarm49381.2020.9195299","title":"Rank Kalman Filter-SLAM for Vehicle with Non-Gaussian Noise","display_name":"Rank Kalman Filter-SLAM for Vehicle with Non-Gaussian Noise","publication_year":2020,"publication_date":"2020-09-14","ids":{"openalex":"https://openalex.org/W3089630663","doi":"https://doi.org/10.1109/icarm49381.2020.9195299","mag":"3089630663"},"language":"en","primary_location":{"id":"doi:10.1109/icarm49381.2020.9195299","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarm49381.2020.9195299","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 5th International Conference on Advanced Robotics and Mechatronics (ICARM)","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/A5081571218","display_name":"Taishan Lou","orcid":"https://orcid.org/0000-0002-0624-6912"},"institutions":[{"id":"https://openalex.org/I23171815","display_name":"Zhengzhou University of Light Industry","ror":"https://ror.org/05fwr8z16","country_code":"CN","type":"education","lineage":["https://openalex.org/I23171815"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tai-Shan Lou","raw_affiliation_strings":["Zhengzhou University of Light Industry, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhengzhou University of Light Industry, Zhengzhou, China","institution_ids":["https://openalex.org/I23171815"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063847893","display_name":"Hong-ye Ban","orcid":null},"institutions":[{"id":"https://openalex.org/I23171815","display_name":"Zhengzhou University of Light Industry","ror":"https://ror.org/05fwr8z16","country_code":"CN","type":"education","lineage":["https://openalex.org/I23171815"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong-Ye Ban","raw_affiliation_strings":["Zhengzhou University of Light Industry, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhengzhou University of Light Industry, Zhengzhou, China","institution_ids":["https://openalex.org/I23171815"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103201731","display_name":"Suna Zhao","orcid":"https://orcid.org/0000-0002-2066-1186"},"institutions":[{"id":"https://openalex.org/I23171815","display_name":"Zhengzhou University of Light Industry","ror":"https://ror.org/05fwr8z16","country_code":"CN","type":"education","lineage":["https://openalex.org/I23171815"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Su-Na Zhao","raw_affiliation_strings":["Zhengzhou University of Light Industry, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhengzhou University of Light Industry, Zhengzhou, China","institution_ids":["https://openalex.org/I23171815"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088320041","display_name":"Zhen-Dong He","orcid":null},"institutions":[{"id":"https://openalex.org/I23171815","display_name":"Zhengzhou University of Light Industry","ror":"https://ror.org/05fwr8z16","country_code":"CN","type":"education","lineage":["https://openalex.org/I23171815"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen-Dong He","raw_affiliation_strings":["Zhengzhou University of Light Industry, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhengzhou University of Light Industry, Zhengzhou, China","institution_ids":["https://openalex.org/I23171815"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100707081","display_name":"Ying Wang","orcid":"https://orcid.org/0000-0002-3193-5912"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ying Wang","raw_affiliation_strings":["Scientific Research and Production Base Managament Service Center of Henan Province, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Scientific Research and Production Base Managament Service Center of Henan Province, Zhengzhou, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.263,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.95092793,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"12","last_page":"15"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9998000264167786,"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":0.9998000264167786,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9994000196456909,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9993000030517578,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/simultaneous-localization-and-mapping","display_name":"Simultaneous localization and mapping","score":0.7676594257354736},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.7407755255699158},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.6032454371452332},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5711123943328857},{"id":"https://openalex.org/keywords/extended-kalman-filter","display_name":"Extended Kalman filter","score":0.5576307773590088},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5332472324371338},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.47874730825424194},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47619497776031494},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4750490188598633},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.46343618631362915},{"id":"https://openalex.org/keywords/statistic","display_name":"Statistic","score":0.42870351672172546},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.4254833161830902},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4007532596588135},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.34887516498565674},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.3303994834423065},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2976981997489929},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1119997501373291}],"concepts":[{"id":"https://openalex.org/C86369673","wikidata":"https://www.wikidata.org/wiki/Q1203659","display_name":"Simultaneous localization and mapping","level":4,"score":0.7676594257354736},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.7407755255699158},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.6032454371452332},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5711123943328857},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.5576307773590088},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5332472324371338},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.47874730825424194},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47619497776031494},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4750490188598633},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46343618631362915},{"id":"https://openalex.org/C89128539","wikidata":"https://www.wikidata.org/wiki/Q1949963","display_name":"Statistic","level":2,"score":0.42870351672172546},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.4254833161830902},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4007532596588135},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.34887516498565674},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.3303994834423065},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2976981997489929},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1119997501373291},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icarm49381.2020.9195299","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarm49381.2020.9195299","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 5th International Conference on Advanced Robotics and Mechatronics (ICARM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1601945812","https://openalex.org/W1980074099","https://openalex.org/W1989174032","https://openalex.org/W1991609553","https://openalex.org/W2054091988","https://openalex.org/W2127578024","https://openalex.org/W2146881125","https://openalex.org/W2148820580","https://openalex.org/W2156548949","https://openalex.org/W2165468899","https://openalex.org/W2168210109","https://openalex.org/W2336416123","https://openalex.org/W2461937780","https://openalex.org/W2463504922","https://openalex.org/W2502569300","https://openalex.org/W3124420883","https://openalex.org/W6682324061"],"related_works":["https://openalex.org/W2125308530","https://openalex.org/W2034836143","https://openalex.org/W1541079531","https://openalex.org/W1981991040","https://openalex.org/W2980755614","https://openalex.org/W2122489470","https://openalex.org/W2005337052","https://openalex.org/W2467646110","https://openalex.org/W3001939774","https://openalex.org/W2583542422"],"abstract_inverted_index":{"Simultaneous":[0],"localization":[1],"and":[2,13],"mapping":[3],"(SLAM)":[4],"is":[5,68],"a":[6,27],"crucial":[7],"problem":[8],"to":[9,41,88],"solve":[10],"the":[11,36,44,53,81,84],"navigation":[12],"positioning":[14],"for":[15],"an":[16,21],"autonomous":[17],"robot":[18,45],"moving":[19],"in":[20,70],"unknown":[22],"environment.":[23],"This":[24],"work":[25],"proposes":[26],"rank":[28,39,62],"Kalman":[29],"filter":[30],"(RKF)":[31],"SLAM":[32,78],"algorithm":[33,49],"based":[34],"on":[35],"principle":[37],"of":[38,56],"statistic":[40],"deal":[42],"with":[43,74],"SLAM.":[46],"The":[47,65],"RKF":[48],"can":[50],"effectively":[51],"simulate":[52],"probability":[54],"distribution":[55,90],"nonlinear":[57,76],"systems":[58],"by":[59,72],"using":[60],"even":[61],"sample":[63],"points.":[64],"proposed":[66],"RKF-SLAM":[67],"validated":[69],"simulations":[71],"comparing":[73],"two":[75],"filtering":[77],"algorithms":[79],"under":[80],"situation":[82],"that":[83],"observation":[85],"noises":[86],"distribute":[87],"Gaussian":[89],"or":[91],"non-Gaussian":[92],"distribution.":[93]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2021,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}