{"id":"https://openalex.org/W4405305456","doi":"https://doi.org/10.1109/indin58382.2024.10774340","title":"Forward Long-distance 3D Reconstruction in Rail Transit Scenarios based on Occupancy Networks","display_name":"Forward Long-distance 3D Reconstruction in Rail Transit Scenarios based on Occupancy Networks","publication_year":2024,"publication_date":"2024-08-18","ids":{"openalex":"https://openalex.org/W4405305456","doi":"https://doi.org/10.1109/indin58382.2024.10774340"},"language":"en","primary_location":{"id":"doi:10.1109/indin58382.2024.10774340","is_oa":false,"landing_page_url":"https://doi.org/10.1109/indin58382.2024.10774340","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 22nd International Conference on Industrial Informatics (INDIN)","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/A5100402172","display_name":"Hongbo Li","orcid":"https://orcid.org/0000-0003-0507-9662"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongbo Li","raw_affiliation_strings":["Beihang University, School of Transportation Science and Engineering,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beihang University, School of Transportation Science and Engineering,Beijing,China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062986362","display_name":"Zhangyu Wang","orcid":"https://orcid.org/0000-0001-9546-7655"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhangyu Wang","raw_affiliation_strings":["Beihang University, School of Transportation Science and Engineering,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beihang University, School of Transportation Science and Engineering,Beijing,China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029544757","display_name":"Songyue Yang","orcid":"https://orcid.org/0000-0003-0758-7951"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Songyue Yang","raw_affiliation_strings":["Beihang University, School of Transportation Science and Engineering,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beihang University, School of Transportation Science and Engineering,Beijing,China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100743779","display_name":"Hao Wang","orcid":"https://orcid.org/0000-0002-5234-9066"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Wang","raw_affiliation_strings":["Beihang University, School of Transportation Science and Engineering,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beihang University, School of Transportation Science and Engineering,Beijing,China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115594684","display_name":"Wentao Liu","orcid":"https://orcid.org/0009-0008-9257-8155"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wentao Liu","raw_affiliation_strings":["Beihang University, School of Transportation Science and Engineering,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beihang University, School of Transportation Science and Engineering,Beijing,China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111897664","display_name":"Guizhen Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guizhen Yu","raw_affiliation_strings":["Beihang University, School of Transportation Science and Engineering,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beihang University, School of Transportation Science and Engineering,Beijing,China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.45553316,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9761000275611877,"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"}},"topics":[{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9761000275611877,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9681000113487244,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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":0.9656000137329102,"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/occupancy","display_name":"Occupancy","score":0.8246119022369385},{"id":"https://openalex.org/keywords/transit","display_name":"Transit (satellite)","score":0.5477416515350342},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5252663493156433},{"id":"https://openalex.org/keywords/rail-transit","display_name":"Rail transit","score":0.4990696907043457},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.4892732799053192},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.44152510166168213},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3350459039211273},{"id":"https://openalex.org/keywords/public-transport","display_name":"Public transport","score":0.29922276735305786},{"id":"https://openalex.org/keywords/civil-engineering","display_name":"Civil engineering","score":0.2594259977340698},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.21574759483337402},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.19109567999839783}],"concepts":[{"id":"https://openalex.org/C160331591","wikidata":"https://www.wikidata.org/wiki/Q7075743","display_name":"Occupancy","level":2,"score":0.8246119022369385},{"id":"https://openalex.org/C2778022998","wikidata":"https://www.wikidata.org/wiki/Q651136","display_name":"Transit (satellite)","level":3,"score":0.5477416515350342},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5252663493156433},{"id":"https://openalex.org/C2992701429","wikidata":"https://www.wikidata.org/wiki/Q3491904","display_name":"Rail transit","level":2,"score":0.4990696907043457},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.4892732799053192},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.44152510166168213},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3350459039211273},{"id":"https://openalex.org/C539828613","wikidata":"https://www.wikidata.org/wiki/Q178512","display_name":"Public transport","level":2,"score":0.29922276735305786},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.2594259977340698},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.21574759483337402},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.19109567999839783}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/indin58382.2024.10774340","is_oa":false,"landing_page_url":"https://doi.org/10.1109/indin58382.2024.10774340","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 22nd International Conference on Industrial Informatics (INDIN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.5799999833106995,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1965475047","https://openalex.org/W1966625816","https://openalex.org/W2063878429","https://openalex.org/W2070770904","https://openalex.org/W2166774562","https://openalex.org/W2554243884","https://openalex.org/W2717528685","https://openalex.org/W2798365772","https://openalex.org/W2803600673","https://openalex.org/W3003179103","https://openalex.org/W3089977853","https://openalex.org/W3135365822","https://openalex.org/W3154129649","https://openalex.org/W3206335707","https://openalex.org/W3215584334","https://openalex.org/W4386083035","https://openalex.org/W4390872638","https://openalex.org/W4390873564","https://openalex.org/W4393992835","https://openalex.org/W4402713134","https://openalex.org/W4402754236"],"related_works":["https://openalex.org/W654272262","https://openalex.org/W603905442","https://openalex.org/W1520175929","https://openalex.org/W2368505403","https://openalex.org/W332282905","https://openalex.org/W2247480929","https://openalex.org/W2214838908","https://openalex.org/W823842769","https://openalex.org/W594725858","https://openalex.org/W2010154088"],"abstract_inverted_index":{"In":[0],"rail":[1,24,60,100,157],"transit":[2,61,101,158],"autonomous":[3,169],"driving":[4,21,170],"scenarios,":[5,102,159],"real-time":[6],"three-dimensional":[7],"(3D)":[8],"reconstruction":[9,57],"is":[10,79],"crucial":[11],"for":[12,52,59,133],"understanding":[13],"scenes":[14],"and":[15,30,106,127],"ensuring":[16],"the":[17,20,83,93,118,124,146,151,164],"safety":[18],"of":[19,87,95,123,153,168],"environment.":[22],"Urban":[23],"trains,":[25,171],"with":[26],"their":[27],"substantial":[28],"weight":[29],"long":[31],"braking":[32],"distances,":[33],"necessitate":[34],"an":[35,173],"extended":[36],"forward":[37,53,96,165],"perception":[38,166],"range":[39,167],"in":[40,99,120,156],"3D":[41,55,69],"space.":[42],"To":[43],"address":[44],"this":[45,47,160],"challenge,":[46],"paper":[48],"proposes":[49],"a":[50,68,137],"method":[51,72,138],"long-distance":[54,141],"scene":[56],"tailored":[58],"scenarios":[62],"based":[63],"on":[64],"occupancy":[65,154],"networks.":[66],"Firstly,":[67],"feature":[70],"representation":[71],"using":[73],"three":[74],"mutually":[75],"perpendicular":[76],"spatial":[77,88],"planes":[78],"proposed":[80],"to":[81,109,117,139],"mitigate":[82],"high":[84],"computational":[85],"complexity":[86],"voxel":[89],"features.":[90],"Secondly,":[91],"considering":[92],"characteristics":[94],"binocular":[97],"vision":[98],"we":[103,135],"employ":[104],"self-attention":[105],"cross-attention":[107],"mechanisms":[108],"fuse":[110],"features":[111],"between":[112],"different":[113],"images.":[114],"Thirdly,":[115],"due":[116],"limitations":[119],"projection":[121],"distance":[122],"Light":[125],"Detection":[126],"Ranging":[128],"(LiDAR)":[129],"point":[130],"cloud":[131],"used":[132],"supervision,":[134],"introduce":[136],"generate":[140],"dense":[142],"ground":[143],"truth":[144],"during":[145],"training":[147],"stage.":[148],"By":[149],"pioneering":[150],"application":[152],"networks":[155],"approach":[161],"significantly":[162],"extends":[163],"achieving":[172],"impressive":[174],"77.79%":[175],"mean":[176],"Intersection":[177],"over":[178],"Union":[179],"(mIoU)":[180],"accuracy.":[181]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
