{"id":"https://openalex.org/W2157730669","doi":"https://doi.org/10.1109/iros.2007.4399077","title":"Extended rao-blackwellised genetic algorithmic filter SLAM in dynamic environment with raw sensor measurement","display_name":"Extended rao-blackwellised genetic algorithmic filter SLAM in dynamic environment with raw sensor measurement","publication_year":2007,"publication_date":"2007-10-01","ids":{"openalex":"https://openalex.org/W2157730669","doi":"https://doi.org/10.1109/iros.2007.4399077","mag":"2157730669"},"language":"en","primary_location":{"id":"doi:10.1109/iros.2007.4399077","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2007.4399077","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE/RSJ International Conference on Intelligent Robots and Systems","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/A5106430386","display_name":"Jun Feng Dong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"J.F. Dong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078580017","display_name":"Sardha Wijesoma","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"S. Wijesoma","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5011471437","display_name":"Andrew Shacklock","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"A.P. Shacklock","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1473","last_page":"1478"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9990000128746033,"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/T11192","display_name":"Underwater Vehicles and Communication Systems","score":0.9950000047683716,"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/simultaneous-localization-and-mapping","display_name":"Simultaneous localization and mapping","score":0.9080919027328491},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.827289342880249},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6690958738327026},{"id":"https://openalex.org/keywords/data-association","display_name":"Data association","score":0.5734948515892029},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5365856289863586},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5338935256004333},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5090722441673279},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.468323290348053},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.4490349292755127},{"id":"https://openalex.org/keywords/raw-data","display_name":"Raw data","score":0.44892239570617676},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.4483741521835327},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.27047795057296753}],"concepts":[{"id":"https://openalex.org/C86369673","wikidata":"https://www.wikidata.org/wiki/Q1203659","display_name":"Simultaneous localization and mapping","level":4,"score":0.9080919027328491},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.827289342880249},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6690958738327026},{"id":"https://openalex.org/C2983325608","wikidata":"https://www.wikidata.org/wiki/Q17084606","display_name":"Data association","level":3,"score":0.5734948515892029},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5365856289863586},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5338935256004333},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5090722441673279},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.468323290348053},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.4490349292755127},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.44892239570617676},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.4483741521835327},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.27047795057296753},{"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.2007.4399077","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2007.4399077","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE/RSJ International Conference on Intelligent Robots and Systems","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":13,"referenced_works":["https://openalex.org/W1572232541","https://openalex.org/W1854144742","https://openalex.org/W2045995235","https://openalex.org/W2103393159","https://openalex.org/W2107402720","https://openalex.org/W2132631693","https://openalex.org/W2133218819","https://openalex.org/W2148820580","https://openalex.org/W2149020252","https://openalex.org/W2336416123","https://openalex.org/W6638783030","https://openalex.org/W6675456536","https://openalex.org/W6682324061"],"related_works":["https://openalex.org/W2125871801","https://openalex.org/W1585960250","https://openalex.org/W2123849027","https://openalex.org/W2120540633","https://openalex.org/W1750372561","https://openalex.org/W2539990421","https://openalex.org/W1501082329","https://openalex.org/W2963091090","https://openalex.org/W1986073206","https://openalex.org/W3004220299"],"abstract_inverted_index":{"Simultaneous":[0],"localization":[1],"and":[2,63,67,76,88,153,159],"mapping":[3],"(SLAM)":[4],"for":[5,106],"mobile":[6],"robots":[7],"has":[8],"attracted":[9],"research":[10],"interests":[11],"in":[12,44,49,80,91,136,163],"the":[13,32,39,74,108,121,129,137,143,151,154,176],"past":[14],"two":[15],"decades.":[16],"Recent":[17],"years,":[18],"Rao-Blackwellized":[19],"particle":[20,138],"filter":[21,102],"(RBPF)":[22],"approach":[23,141],"proved":[24],"to":[25,30,174],"be":[26,133],"an":[27,164],"effective":[28],"means":[29],"estimate":[31],"full":[33,109],"SLAM":[34,40,110,126,146],"posterior.":[35],"However,":[36],"most":[37],"of":[38,73,145,150],"practices":[41],"are":[42,77,172],"implemented":[43],"static":[45,155],"environment.":[46,83],"To":[47,84],"navigate":[48],"dynamic":[50,92],"environment,":[51,93],"model":[52],"based":[53,97],"approaches":[54,59],"have":[55],"been":[56],"implemented.":[57],"The":[58,116],"require":[60,70],"modeling,":[61,86],"classification,":[62],"data":[64,89],"association.":[65],"Modeling":[66],"classification":[68,87],"often":[69],"prior":[71,148],"knowledge":[72,149],"environment":[75,152,156,166],"less":[78],"robust":[79],"highly":[81],"complex":[82],"obviate":[85],"association":[90],"a":[94,168],"solution":[95],"framework":[96],"on":[98],"Rao-Blackwellised":[99],"genetic":[100],"algorithmic":[101],"(RBGAF)":[103],"is":[104],"extended":[105,118],"recovering":[107],"posterior,":[111],"using":[112,167],"raw":[113],"sensor":[114,123],"measurements.":[115],"resultant":[117],"RBGAF-SLAM":[119],"recovers":[120],"negative":[122],"information":[124],"during":[125],"so":[127],"that":[128],"moving":[130],"objects":[131],"can":[132],"efficiently":[134],"identified":[135],"maps.":[139],"This":[140],"permits":[142],"implementation":[144],"without":[147],"assumption.":[157],"Simulations":[158],"experimental":[160],"results":[161],"obtained":[162],"outdoor":[165],"laser":[169],"measurement":[170],"system":[171],"presented":[173],"demonstrate":[175],"method's":[177],"effectiveness.":[178]},"counts_by_year":[{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}