{"id":"https://openalex.org/W4400042547","doi":"https://doi.org/10.1109/tim.2024.3417537","title":"An Anomaly Detection Method for Railway Track Using Semisupervised Learning and Vision-Lidar Decision Fusion","display_name":"An Anomaly Detection Method for Railway Track Using Semisupervised Learning and Vision-Lidar Decision Fusion","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4400042547","doi":"https://doi.org/10.1109/tim.2024.3417537"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2024.3417537","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2024.3417537","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-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/A5031734606","display_name":"Xuanyu Ge","orcid":"https://orcid.org/0009-0007-5617-6186"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuanyu Ge","raw_affiliation_strings":["State Key Laboratory of Advanced Rail Autonomous Operation and the School of Traffic and Transportation, Beijing Jiaotong University, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0007-5617-6186","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Advanced Rail Autonomous Operation and the School of Traffic and Transportation, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072704517","display_name":"Zhiwei Cao","orcid":"https://orcid.org/0000-0003-1611-9703"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiwei Cao","raw_affiliation_strings":["State Key Laboratory of Advanced Rail Autonomous Operation and the Key Laboratory of Railway Industry of Proactive Safety and Risk Control, Beijing Jiaotong University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-1611-9703","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Advanced Rail Autonomous Operation and the Key Laboratory of Railway Industry of Proactive Safety and Risk Control, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088716214","display_name":"Yong Qin","orcid":"https://orcid.org/0000-0002-6519-8316"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Qin","raw_affiliation_strings":["State Key Laboratory of Advanced Rail Autonomous Operation and the Key Laboratory of Railway Industry of Proactive Safety and Risk Control, Beijing Jiaotong University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-6519-8316","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Advanced Rail Autonomous Operation and the Key Laboratory of Railway Industry of Proactive Safety and Risk Control, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101579809","display_name":"Yang Gao","orcid":"https://orcid.org/0009-0000-2456-3850"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Gao","raw_affiliation_strings":["State Key Laboratory of Advanced Rail Autonomous Operation and the School of Traffic and Transportation, Beijing Jiaotong University, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0000-2456-3850","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Advanced Rail Autonomous Operation and the School of Traffic and Transportation, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016335119","display_name":"Lirong Lian","orcid":"https://orcid.org/0009-0004-5091-4318"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lirong Lian","raw_affiliation_strings":["State Key Laboratory of Advanced Rail Autonomous Operation and the School of Traffic and Transportation, Beijing Jiaotong University, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0004-5091-4318","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Advanced Rail Autonomous Operation and the School of Traffic and Transportation, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076716717","display_name":"Jie Bai","orcid":"https://orcid.org/0009-0001-2798-7234"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Bai","raw_affiliation_strings":["State Key Laboratory of Advanced Rail Autonomous Operation and the School of Traffic and Transportation, Beijing Jiaotong University, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0001-2798-7234","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Advanced Rail Autonomous Operation and the School of Traffic and Transportation, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101469061","display_name":"Hang Yu","orcid":"https://orcid.org/0009-0003-1611-2656"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hang Yu","raw_affiliation_strings":["State Key Laboratory of Advanced Rail Autonomous Operation and the School of Traffic and Transportation, Beijing Jiaotong University, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0003-1611-2656","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Advanced Rail Autonomous Operation and the School of Traffic and Transportation, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I21193070"],"apc_list":null,"apc_paid":null,"fwci":1.9007,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.83755996,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"73","issue":null,"first_page":"1","last_page":"15"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9882000088691711,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9882000088691711,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.984000027179718,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9821000099182129,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.7769638895988464},{"id":"https://openalex.org/keywords/track","display_name":"Track (disk drive)","score":0.6097249984741211},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5958210229873657},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.5897698998451233},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5862963795661926},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.545526385307312},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5333934426307678},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.48669296503067017},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.4536820948123932},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.4179244041442871},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3658962547779083},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3357914090156555},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.18331804871559143},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.15045642852783203},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1127922534942627}],"concepts":[{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.7769638895988464},{"id":"https://openalex.org/C89992363","wikidata":"https://www.wikidata.org/wiki/Q5961558","display_name":"Track (disk drive)","level":2,"score":0.6097249984741211},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5958210229873657},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.5897698998451233},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5862963795661926},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.545526385307312},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5333934426307678},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48669296503067017},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.4536820948123932},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.4179244041442871},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3658962547779083},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3357914090156555},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.18331804871559143},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.15045642852783203},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1127922534942627},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2024.3417537","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2024.3417537","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.46000000834465027}],"awards":[{"id":"https://openalex.org/G4297937968","display_name":null,"funder_award_id":"2022YFB4300601","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W1987742676","https://openalex.org/W2112438422","https://openalex.org/W2140663337","https://openalex.org/W2171273316","https://openalex.org/W2194775991","https://openalex.org/W2406523001","https://openalex.org/W2502312327","https://openalex.org/W2630837129","https://openalex.org/W2768205641","https://openalex.org/W2884561390","https://openalex.org/W2914570111","https://openalex.org/W2928474419","https://openalex.org/W2962721361","https://openalex.org/W2963115219","https://openalex.org/W2963150697","https://openalex.org/W2964241181","https://openalex.org/W2995201943","https://openalex.org/W3010434815","https://openalex.org/W3034552520","https://openalex.org/W3039288327","https://openalex.org/W3090506531","https://openalex.org/W3116100108","https://openalex.org/W3148789062","https://openalex.org/W3168007007","https://openalex.org/W3182635745","https://openalex.org/W3184439416","https://openalex.org/W3195107488","https://openalex.org/W3202041989","https://openalex.org/W3211215912","https://openalex.org/W4205329530","https://openalex.org/W4211154234","https://openalex.org/W4224145733","https://openalex.org/W4286492470","https://openalex.org/W4288325606","https://openalex.org/W4307761680","https://openalex.org/W4319996167","https://openalex.org/W4320000121","https://openalex.org/W4377079843","https://openalex.org/W4378365301","https://openalex.org/W4386065775","https://openalex.org/W4389319271","https://openalex.org/W6724804524","https://openalex.org/W6739696289","https://openalex.org/W6768952390","https://openalex.org/W6782287982","https://openalex.org/W6798838024"],"related_works":["https://openalex.org/W2806741695","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W3210364259","https://openalex.org/W4300558037","https://openalex.org/W2912112202","https://openalex.org/W2667207928","https://openalex.org/W4377864969","https://openalex.org/W2972971679"],"abstract_inverted_index":{"Anomaly":[0],"detection":[1,49,190],"of":[2,12,61,121,135,152,161,195],"the":[3,10,16,72,90,94,97,116,119,126,131,142,169,181,193],"railway":[4,13,17,46],"track":[5,18,47],"is":[6,19,80,166],"essential":[7],"to":[8,28,82,88,109,168,188],"protect":[9],"safety":[11],"transportation.":[14],"However,":[15],"often":[20],"disturbed":[21],"by":[22],"unknown":[23,86,113],"anomalies,":[24,111],"making":[25],"it":[26],"challenging":[27],"detect":[29],"anomalies":[30,87],"using":[31,51],"only":[32],"supervised":[33,64],"learning":[34,53],"and":[35,54,68,85,102,123,133,154,191],"visual":[36],"sensors.":[37],"To":[38],"address":[39],"these":[40],"problems,":[41],"this":[42],"article":[43],"proposes":[44],"a":[45,146,155,185],"anomaly":[48,136,177,189],"method":[50,59,144,165,183],"semisupervised":[52,66,100],"vision-lidar":[55],"decision":[56,127],"fusion.":[57,70],"The":[58,163],"consists":[60],"three":[62],"parts:":[63],"pre-detection,":[65],"re-detection,":[67],"decision-level":[69],"In":[71,93,115,179],"pre-detection":[73,122],"stage,":[74,96,118],"an":[75],"enhanced":[76],"instance":[77],"segmentation":[78],"algorithm":[79],"used":[81],"pre-detect":[83],"known":[84],"improve":[89],"overall":[91],"performance.":[92],"re-detection":[95,124],"reconstruction":[98],"method,":[99],"learning,":[101],"structured":[103,196],"light":[104,197],"point":[105,173,198],"cloud":[106],"are":[107],"combined":[108],"re-detect":[110],"especially":[112],"anomalies.":[114],"fusion":[117,120],"at":[125],"level":[128],"further":[129],"advances":[130],"accuracy":[132],"credibility":[134],"detection.":[137,178],"Experimental":[138],"results":[139],"show":[140],"that":[141],"proposed":[143,164,182],"achieves":[145],"mean":[147,156],"average":[148,157],"precision":[149],"(mAP":[150],"0.50:0.95)":[151,160],"92.2%":[153],"recall":[158],"(mAR":[159],"94.5%.":[162],"superior":[167],"single":[170],"vision-based":[171],"or":[172],"cloud-based":[174],"methods":[175],"in":[176],"addition,":[180],"provides":[184],"general":[186],"solution":[187],"extends":[192],"application":[194],"cloud.":[199]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2}],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}
