{"id":"https://openalex.org/W2110405746","doi":"https://doi.org/10.1109/icra.2012.6224623","title":"SeqSLAM: Visual route-based navigation for sunny summer days and stormy winter nights","display_name":"SeqSLAM: Visual route-based navigation for sunny summer days and stormy winter nights","publication_year":2012,"publication_date":"2012-05-01","ids":{"openalex":"https://openalex.org/W2110405746","doi":"https://doi.org/10.1109/icra.2012.6224623","mag":"2110405746"},"language":"en","primary_location":{"id":"doi:10.1109/icra.2012.6224623","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra.2012.6224623","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Robotics and Automation","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/A5078340555","display_name":"Michael Milford","orcid":"https://orcid.org/0000-0002-5162-1793"},"institutions":[{"id":"https://openalex.org/I160993911","display_name":"Queensland University of Technology","ror":"https://ror.org/03pnv4752","country_code":"AU","type":"education","lineage":["https://openalex.org/I160993911"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Michael J. Milford","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, Queensland University of Technology, Brisbane, Australia","School of Electrical Engineering and Computer Science at the Queensland University of Technology, Brisbane, Australia"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, Queensland University of Technology, Brisbane, Australia","institution_ids":["https://openalex.org/I160993911"]},{"raw_affiliation_string":"School of Electrical Engineering and Computer Science at the Queensland University of Technology, Brisbane, Australia","institution_ids":["https://openalex.org/I160993911"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027468544","display_name":"Gordon Wyeth","orcid":"https://orcid.org/0000-0002-4996-3612"},"institutions":[{"id":"https://openalex.org/I160993911","display_name":"Queensland University of Technology","ror":"https://ror.org/03pnv4752","country_code":"AU","type":"education","lineage":["https://openalex.org/I160993911"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Gordon. F. Wyeth","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, Queensland University of Technology, Brisbane, Australia","School of Electrical Engineering and Computer Science at the Queensland University of Technology, Brisbane, Australia"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, Queensland University of Technology, Brisbane, Australia","institution_ids":["https://openalex.org/I160993911"]},{"raw_affiliation_string":"School of Electrical Engineering and Computer Science at the Queensland University of Technology, Brisbane, Australia","institution_ids":["https://openalex.org/I160993911"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5078340555"],"corresponding_institution_ids":["https://openalex.org/I160993911"],"apc_list":null,"apc_paid":null,"fwci":993.3128,"has_fulltext":false,"cited_by_count":967,"citation_normalized_percentile":{"value":0.99998788,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1643","last_page":"1649"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9995999932289124,"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"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9957000017166138,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7003931403160095},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6705385446548462},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6462001204490662},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5659119486808777},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.5345624685287476},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5257079005241394},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.521342396736145},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4593416154384613},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3310779333114624},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17563208937644958},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10920026898384094}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7003931403160095},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6705385446548462},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6462001204490662},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5659119486808777},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.5345624685287476},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5257079005241394},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.521342396736145},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4593416154384613},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3310779333114624},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17563208937644958},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10920026898384094},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","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/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icra.2012.6224623","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra.2012.6224623","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Robotics and Automation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life below water","id":"https://metadata.un.org/sdg/14","score":0.5600000023841858}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1677409904","https://openalex.org/W1891947214","https://openalex.org/W2074602185","https://openalex.org/W2101648351","https://openalex.org/W2109197213","https://openalex.org/W2112164532","https://openalex.org/W2112669647","https://openalex.org/W2121013842","https://openalex.org/W2124386111","https://openalex.org/W2131497551","https://openalex.org/W2133759223","https://openalex.org/W2137348018","https://openalex.org/W2143864104","https://openalex.org/W2144502914","https://openalex.org/W2146033527","https://openalex.org/W2152671441","https://openalex.org/W2161338791","https://openalex.org/W2162518859","https://openalex.org/W2293047233","https://openalex.org/W3083748116","https://openalex.org/W3143919370","https://openalex.org/W4236715194","https://openalex.org/W6676090986","https://openalex.org/W6696855976","https://openalex.org/W6792753551"],"related_works":["https://openalex.org/W4323768008","https://openalex.org/W3131574667","https://openalex.org/W4248382324","https://openalex.org/W4360995134","https://openalex.org/W2387529410","https://openalex.org/W2039473718","https://openalex.org/W3023605104","https://openalex.org/W2383578611","https://openalex.org/W2987583674","https://openalex.org/W3186928667"],"abstract_inverted_index":{"Learning":[0],"and":[1,19,37,146,174,189,193,197],"then":[2,82,175],"recognizing":[3,85],"a":[4,25,44,64],"route,":[5],"whether":[6],"travelled":[7],"during":[8,171],"the":[9,31,58,70,96,103,112,141,144,152,163,172,177,180,202,206],"day":[10,173],"or":[11,16,22,187],"at":[12,182,215],"night,":[13,181],"in":[14,20,34,162,176,190,194],"clear":[15,195],"inclement":[17],"weather,":[18],"summer":[21],"winter":[23],"is":[24,81,123,165,209],"challenging":[26],"task":[27],"for":[28,98],"state":[29],"of":[30,56,88,119,143,151,179,221],"art":[32],"algorithms":[33],"computer":[35],"vision":[36,104],"robotics.":[38],"In":[39],"this":[40],"paper,":[41],"we":[42,139],"present":[43],"new":[45],"approach":[46,68,94,122],"to":[47,149,211,223],"visual":[48],"navigation":[49,78],"under":[50],"changing":[51],"conditions":[52],"dubbed":[53],"SeqSLAM.":[54],"Instead":[55],"calculating":[57],"single":[59],"location":[60,74],"most":[61,153],"likely":[62],"given":[63],"current":[65],"image,":[66],"our":[67],"calculates":[69],"best":[71,91,113],"candidate":[72],"matching":[73,100],"within":[75,115],"every":[76],"local":[77],"sequence.":[79],"Localization":[80],"achieved":[83],"by":[84,102,185],"coherent":[86],"sequences":[87],"these":[89],"\u201clocal":[90],"matches\u201d.":[92],"This":[93],"removes":[95],"need":[97],"global":[99],"performance":[101],"front-end":[105],"-":[106],"instead":[107],"it":[108,148],"must":[109],"only":[110],"pick":[111],"match":[114,212],"any":[116],"short":[117],"sequence":[118],"images.":[120],"The":[121,159],"applicable":[124],"over":[125],"environment":[126],"changes":[127],"that":[128],"render":[129],"traditional":[130],"feature-based":[131,155,203],"techniques":[132],"ineffective.":[133],"Using":[134],"two":[135],"car-mounted":[136],"camera":[137],"datasets":[138,164],"demonstrate":[140],"effectiveness":[142],"algorithm":[145,208],"compare":[147],"one":[150],"successful":[154],"SLAM":[156],"algorithms,":[157],"FAB-MAP.":[158],"perceptual":[160],"change":[161],"extreme;":[166],"repeated":[167],"traverses":[168],"through":[169],"environments":[170],"middle":[178],"times":[183],"separated":[184],"months":[186],"years":[188],"opposite":[191],"seasons,":[192],"weather":[196],"extremely":[198],"heavy":[199],"rain.":[200],"While":[201],"method":[204],"fails,":[205],"sequence-based":[207],"able":[210],"trajectory":[213],"segments":[214],"100%":[216],"precision":[217],"with":[218],"recall":[219],"rates":[220],"up":[222],"60%.":[224]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":40},{"year":2024,"cited_by_count":64},{"year":2023,"cited_by_count":57},{"year":2022,"cited_by_count":80},{"year":2021,"cited_by_count":117},{"year":2020,"cited_by_count":113},{"year":2019,"cited_by_count":131},{"year":2018,"cited_by_count":100},{"year":2017,"cited_by_count":78},{"year":2016,"cited_by_count":52},{"year":2015,"cited_by_count":62},{"year":2014,"cited_by_count":39},{"year":2013,"cited_by_count":25},{"year":2012,"cited_by_count":7}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
