{"id":"https://openalex.org/W2063085791","doi":"https://doi.org/10.1109/itsc.2011.6082896","title":"A novel automatic track identification algorithm based on LTS-Hausdorff distance","display_name":"A novel automatic track identification algorithm based on LTS-Hausdorff distance","publication_year":2011,"publication_date":"2011-10-01","ids":{"openalex":"https://openalex.org/W2063085791","doi":"https://doi.org/10.1109/itsc.2011.6082896","mag":"2063085791"},"language":"en","primary_location":{"id":"doi:10.1109/itsc.2011.6082896","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2011.6082896","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC)","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/A5100866797","display_name":"Xi-Hui Yan","orcid":null},"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":"Yan Xi-Hui","raw_affiliation_strings":["School of Electronic and Information Engineering, Beijing Jiaotong University, BJTU, Beijing, China","School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, 100044 China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Beijing Jiaotong University, BJTU, Beijing, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, 100044 China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100773357","display_name":"Jian Wang","orcid":"https://orcid.org/0000-0003-2951-688X"},"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":"Wang Jian","raw_affiliation_strings":["State Key Laboratory of Rail Traffic Control and Safety and School of Electronic and Information Engineering, Beijing Jiaotong University, BJTU, Beijing, China","State Key Laboratory of Rail Traffic Control and Safety & School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044 China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Rail Traffic Control and Safety and School of Electronic and Information Engineering, Beijing Jiaotong University, BJTU, Beijing, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"State Key Laboratory of Rail Traffic Control and Safety & School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044 China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100636115","display_name":"Baigen Cai","orcid":"https://orcid.org/0000-0002-6440-005X"},"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":"Cai Bai-gen","raw_affiliation_strings":["School of Electronic and Information Engineering, Beijing Jiaotong University, BJTU, Beijing, China","School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, 100044 China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Beijing Jiaotong University, BJTU, Beijing, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, 100044 China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002672308","display_name":"Wei Shangguan","orcid":"https://orcid.org/0000-0003-2901-0782"},"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":"Shangguan Wei","raw_affiliation_strings":["State Key Laboratory of Rail Traffic Control and Safety and School of Electronic and Information Engineering, Beijing Jiaotong University, BJTU, Beijing, China","State Key Laboratory of Rail Traffic Control and Safety & School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044 China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Rail Traffic Control and Safety and School of Electronic and Information Engineering, Beijing Jiaotong University, BJTU, Beijing, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"State Key Laboratory of Rail Traffic Control and Safety & School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044 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":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"30","issue":null,"first_page":"1984","last_page":"1988"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9940000176429749,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9940000176429749,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T13282","display_name":"Automated Road and Building Extraction","score":0.9811999797821045,"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"}},{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9807000160217285,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/hausdorff-distance","display_name":"Hausdorff distance","score":0.9157665967941284},{"id":"https://openalex.org/keywords/track","display_name":"Track (disk drive)","score":0.7102943658828735},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6734649538993835},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6193833351135254},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5877453088760376},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5741012096405029},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4894939661026001},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.46489185094833374},{"id":"https://openalex.org/keywords/track-circuit","display_name":"Track circuit","score":0.4499928057193756},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.432896226644516},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38217681646347046},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3386269211769104},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.19352877140045166},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18995684385299683},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07587844133377075}],"concepts":[{"id":"https://openalex.org/C141898687","wikidata":"https://www.wikidata.org/wiki/Q1501997","display_name":"Hausdorff distance","level":2,"score":0.9157665967941284},{"id":"https://openalex.org/C89992363","wikidata":"https://www.wikidata.org/wiki/Q5961558","display_name":"Track (disk drive)","level":2,"score":0.7102943658828735},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6734649538993835},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6193833351135254},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5877453088760376},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5741012096405029},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4894939661026001},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.46489185094833374},{"id":"https://openalex.org/C191926282","wikidata":"https://www.wikidata.org/wiki/Q1150115","display_name":"Track circuit","level":3,"score":0.4499928057193756},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.432896226644516},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38217681646347046},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3386269211769104},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.19352877140045166},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18995684385299683},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07587844133377075},{"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc.2011.6082896","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2011.6082896","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.4399999976158142}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1974435862","https://openalex.org/W1985439959","https://openalex.org/W2003447047","https://openalex.org/W2044534294","https://openalex.org/W2107105977","https://openalex.org/W2119586176","https://openalex.org/W2131136277","https://openalex.org/W2160754664","https://openalex.org/W2162687578","https://openalex.org/W2163047244","https://openalex.org/W2168561568","https://openalex.org/W2599552927","https://openalex.org/W6677784972","https://openalex.org/W6735126644","https://openalex.org/W7002188447"],"related_works":["https://openalex.org/W3095125374","https://openalex.org/W2375543711","https://openalex.org/W2385235095","https://openalex.org/W2464148030","https://openalex.org/W2274189140","https://openalex.org/W809204907","https://openalex.org/W229325496","https://openalex.org/W2362187882","https://openalex.org/W4388687885","https://openalex.org/W4313016539"],"abstract_inverted_index":{"Train":[0],"locating":[1],"information":[2],"is":[3,47,111],"very":[4],"important":[5],"for":[6,59],"train":[7,16,63,95],"control":[8],"system,":[9],"how":[10],"to":[11,39],"achieve":[12,115],"automatic":[13,60,116],"identification":[14,61,118],"of":[15,62,79,87,94],"track":[17,27,64,81,96,117],"occupancy":[18,65,97],"using":[19],"GNSS":[20],"simply":[21],"in":[22,50,119],"some":[23],"railway":[24,80],"sections":[25],"without":[26],"circuits":[28],"has":[29],"been":[30],"a":[31,56],"crucial":[32],"problem.":[33],"Hausdorff":[34],"distance":[35,69,76,89],"can":[36,114],"be":[37],"used":[38,49],"measure":[40],"the":[41,84,91,109],"mismatch":[42],"between":[43],"two":[44],"sets,":[45],"which":[46],"widely":[48],"object":[51],"matching.":[52],"This":[53],"paper":[54],"presents":[55],"novel":[57],"algorithm":[58,110],"based":[66,98],"on":[67,99],"LTS-Hausdorff":[68,75,88],"and":[70,90,113],"D-S":[71,100],"evidence":[72,101],"theory.":[73],"The":[74],"reference":[77],"template":[78],"was":[82],"established,":[83],"calculation":[85],"process":[86],"identify":[92],"strategy":[93],"theory":[102],"were":[103],"studied.":[104],"Test":[105],"results":[106],"show":[107],"that":[108],"efficient":[112],"low":[120],"cost.":[121]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}