{"id":"https://openalex.org/W1998136796","doi":"https://doi.org/10.1109/upinlbs.2014.7033732","title":"Comparison of multiple fault detection methods for monocular visual navigation with 3D maps","display_name":"Comparison of multiple fault detection methods for monocular visual navigation with 3D maps","publication_year":2014,"publication_date":"2014-11-01","ids":{"openalex":"https://openalex.org/W1998136796","doi":"https://doi.org/10.1109/upinlbs.2014.7033732","mag":"1998136796"},"language":"en","primary_location":{"id":"doi:10.1109/upinlbs.2014.7033732","is_oa":false,"landing_page_url":"https://doi.org/10.1109/upinlbs.2014.7033732","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 Ubiquitous Positioning Indoor Navigation and Location Based Service (UPINLBS)","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/A5086056182","display_name":"Zeyu Li","orcid":"https://orcid.org/0000-0003-0804-3972"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Zeyu Li","raw_affiliation_strings":["School of Civil and Environmental Engineering, University of New South Wales, Sydney, Australia","School of Civil and Environmental Engineering, University of New South Wales, Sydney, Australia;"],"affiliations":[{"raw_affiliation_string":"School of Civil and Environmental Engineering, University of New South Wales, Sydney, Australia","institution_ids":["https://openalex.org/I31746571"]},{"raw_affiliation_string":"School of Civil and Environmental Engineering, University of New South Wales, Sydney, Australia;","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100743242","display_name":"Jinling Wang","orcid":"https://orcid.org/0000-0002-6485-780X"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jinling Wang","raw_affiliation_strings":["School of Civil and Environmental Engineering, University of New South Wales, Sydney, Australia","School of Civil and Environmental Engineering, University of New South Wales, Sydney, Australia;"],"affiliations":[{"raw_affiliation_string":"School of Civil and Environmental Engineering, University of New South Wales, Sydney, Australia","institution_ids":["https://openalex.org/I31746571"]},{"raw_affiliation_string":"School of Civil and Environmental Engineering, University of New South Wales, Sydney, Australia;","institution_ids":["https://openalex.org/I31746571"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5086056182"],"corresponding_institution_ids":["https://openalex.org/I31746571"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.04741445,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"15","issue":null,"first_page":"228","last_page":"237"},"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/T10531","display_name":"Advanced Vision and Imaging","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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9976999759674072,"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/computer-science","display_name":"Computer science","score":0.7077269554138184},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7020074129104614},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.695591926574707},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.632748544216156},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.608599066734314},{"id":"https://openalex.org/keywords/constant-false-alarm-rate","display_name":"Constant false alarm rate","score":0.5936692953109741},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.47638648748397827},{"id":"https://openalex.org/keywords/false-alarm","display_name":"False alarm","score":0.4678431749343872},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.43919363617897034},{"id":"https://openalex.org/keywords/fault-detection-and-isolation","display_name":"Fault detection and isolation","score":0.436614990234375},{"id":"https://openalex.org/keywords/monocular-vision","display_name":"Monocular vision","score":0.4210900664329529},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.22571101784706116},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1525808572769165},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07669234275817871}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7077269554138184},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7020074129104614},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.695591926574707},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.632748544216156},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.608599066734314},{"id":"https://openalex.org/C77052588","wikidata":"https://www.wikidata.org/wiki/Q644307","display_name":"Constant false alarm rate","level":2,"score":0.5936692953109741},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.47638648748397827},{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.4678431749343872},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.43919363617897034},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.436614990234375},{"id":"https://openalex.org/C158829959","wikidata":"https://www.wikidata.org/wiki/Q1640606","display_name":"Monocular vision","level":2,"score":0.4210900664329529},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.22571101784706116},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1525808572769165},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07669234275817871},{"id":"https://openalex.org/C172707124","wikidata":"https://www.wikidata.org/wiki/Q423488","display_name":"Actuator","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/upinlbs.2014.7033732","is_oa":false,"landing_page_url":"https://doi.org/10.1109/upinlbs.2014.7033732","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 Ubiquitous Positioning Indoor Navigation and Location Based Service (UPINLBS)","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":35,"referenced_works":["https://openalex.org/W36711357","https://openalex.org/W1967484865","https://openalex.org/W1970655212","https://openalex.org/W1985074049","https://openalex.org/W2011627547","https://openalex.org/W2035392043","https://openalex.org/W2048997388","https://openalex.org/W2050551672","https://openalex.org/W2076415761","https://openalex.org/W2104645801","https://openalex.org/W2124386111","https://openalex.org/W2129249398","https://openalex.org/W2135902042","https://openalex.org/W2137088997","https://openalex.org/W2138195474","https://openalex.org/W2138369156","https://openalex.org/W2141584146","https://openalex.org/W2143764656","https://openalex.org/W2145147745","https://openalex.org/W2152671441","https://openalex.org/W2152701363","https://openalex.org/W2166870098","https://openalex.org/W2489822048","https://openalex.org/W2498631646","https://openalex.org/W2609935462","https://openalex.org/W2613952078","https://openalex.org/W2796514099","https://openalex.org/W2796604031","https://openalex.org/W3175704354","https://openalex.org/W4230266908","https://openalex.org/W4231910616","https://openalex.org/W4242010931","https://openalex.org/W4300885073","https://openalex.org/W6736810819","https://openalex.org/W6737599330"],"related_works":["https://openalex.org/W3213997683","https://openalex.org/W2995270189","https://openalex.org/W1983393909","https://openalex.org/W2084124712","https://openalex.org/W2435467664","https://openalex.org/W2040150569","https://openalex.org/W2774527540","https://openalex.org/W2091635186","https://openalex.org/W4381188157","https://openalex.org/W4251947321"],"abstract_inverted_index":{"Within":[0],"the":[1,29,35,39,44,49,63,88,190,205,210,222],"newly":[2],"defined":[3],"3D":[4,40],"maps,":[5,41],"many":[6],"extracted":[7],"visual":[8,22,59],"keypoints":[9,37,95],"have":[10,221],"been":[11],"assigned":[12],"with":[13,69,193,225],"real-world":[14],"coordinates.":[15],"Such":[16],"geospatial":[17],"information":[18],"can":[19,33,52],"make":[20],"monocular":[21,137,185],"navigation":[23],"feasible":[24],"as":[25,78,201],"a":[26,70],"camera":[27],"on":[28],"user":[30],"platform":[31,51],"that":[32,110,215],"capture":[34],"common":[36],"within":[38,58],"and":[42,46,84,166,171,179,196,218,229],"then,":[43],"coordinates":[45,92],"attitude":[47],"of":[48,93],"user's":[50],"be":[53],"determined.":[54],"However,":[55],"multiple":[56,111,129,145],"faults":[57,102,112],"measurements":[60],"produced":[61],"through":[62],"keypoint":[64],"matching":[65],"process":[66],"often":[67],"exist":[68],"high":[71,226],"possibility":[72],"due":[73],"to":[74,124],"various":[75],"reasons,":[76],"such":[77],"illumination":[79],"changes,":[80],"image":[81],"noise,":[82],"mismatches":[83],"calibration":[85],"biases.":[86],"Besides,":[87],"corresponding":[89],"world":[90],"frame":[91],"these":[94,101,120],"may":[96],"also":[97],"contain":[98],"faults.":[99],"Moreover,":[100],"usually":[103],"do":[104],"not":[105],"appear":[106],"individually,":[107],"which":[108,149],"means":[109],"are":[113,133,169],"frequently":[114],"encountered":[115],"in":[116,126,183,209],"vision-based":[117],"navigation.":[118,127,140,188],"All":[119],"factors":[121],"will":[122],"lead":[123],"failures":[125],"Therefore,":[128],"fault":[130,146],"detection":[131,147,194,227],"methods":[132],"necessary":[134],"for":[135,181],"indoor":[136,184,212],"vision":[138,186],"based":[139,187],"In":[141],"this":[142],"paper,":[143],"six":[144],"methods,":[148],"include":[150],"forward":[151],"search":[152],"(FS),":[153],"least":[154,158],"median":[155],"squares":[156,160],"(LMS),":[157],"trimmed":[159],"(LTS),":[161],"M":[162],"estimator,":[163,168],"S":[164],"estimator":[165,217,220],"MM":[167,216],"tested":[170],"analyzed.":[172],"The":[173],"experimental":[174],"results":[175],"reveal":[176],"their":[177],"feasibility":[178],"potentials":[180],"use":[182],"At":[189],"same":[191],"time,":[192],"capability":[195,228],"false":[197,231],"alarm":[198,232],"rate":[199],"acting":[200],"two":[202],"performance":[203,224],"indicators,":[204],"Monte":[206],"Carlo":[207],"simulation":[208],"three":[211],"scenarios":[213],"demonstrates":[214],"LTS":[219],"best":[223],"low":[230],"rate.":[233]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}