{"id":"https://openalex.org/W4386596925","doi":"https://doi.org/10.1109/icip49359.2023.10222104","title":"PSCO: A Point Cloud Scene Classification Model Based on Contrast Learning","display_name":"PSCO: A Point Cloud Scene Classification Model Based on Contrast Learning","publication_year":2023,"publication_date":"2023-09-11","ids":{"openalex":"https://openalex.org/W4386596925","doi":"https://doi.org/10.1109/icip49359.2023.10222104"},"language":"en","primary_location":{"id":"doi:10.1109/icip49359.2023.10222104","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icip49359.2023.10222104","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Image Processing (ICIP)","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/A5101197024","display_name":"Nuo Cheng","orcid":"https://orcid.org/0000-0002-4748-4554"},"institutions":[{"id":"https://openalex.org/I119449181","display_name":"Technische Universit\u00e4t Ilmenau","ror":"https://ror.org/01weqhp73","country_code":"DE","type":"education","lineage":["https://openalex.org/I119449181"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Nuo Cheng","raw_affiliation_strings":["Technische Universitat Ilmenau,Process Optimization Group,Ilmenau,Germany,98693","LiangDao GmbH, Berlin, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technische Universitat Ilmenau,Process Optimization Group,Ilmenau,Germany,98693","institution_ids":["https://openalex.org/I119449181"]},{"raw_affiliation_string":"LiangDao GmbH, Berlin, Germany","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100644760","display_name":"Xiaohan Li","orcid":"https://orcid.org/0000-0003-4786-0190"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaohan Li","raw_affiliation_strings":["LiangDao GmbH,Berlin,Germany,12099"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LiangDao GmbH,Berlin,Germany,12099","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028793944","display_name":"Chuanyu Luo","orcid":"https://orcid.org/0009-0000-1815-2457"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chuanyu Luo","raw_affiliation_strings":["LiangDao GmbH,Berlin,Germany,12099"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LiangDao GmbH,Berlin,Germany,12099","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100340843","display_name":"Xiaotong Liu","orcid":"https://orcid.org/0009-0003-8989-6279"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaotong Liu","raw_affiliation_strings":["LiangDao GmbH,Berlin,Germany,12099"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LiangDao GmbH,Berlin,Germany,12099","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100452584","display_name":"Han Li","orcid":"https://orcid.org/0000-0002-3213-2177"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Han Li","raw_affiliation_strings":["LiangDao GmbH,Berlin,Germany,12099"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LiangDao GmbH,Berlin,Germany,12099","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009747355","display_name":"Shengguang Lei","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shengguang Lei","raw_affiliation_strings":["LiangDao GmbH,Berlin,Germany,12099"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LiangDao GmbH,Berlin,Germany,12099","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100404009","display_name":"Pu Li","orcid":"https://orcid.org/0000-0001-6481-9961"},"institutions":[{"id":"https://openalex.org/I119449181","display_name":"Technische Universit\u00e4t Ilmenau","ror":"https://ror.org/01weqhp73","country_code":"DE","type":"education","lineage":["https://openalex.org/I119449181"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Pu Li","raw_affiliation_strings":["Technische Universitat Ilmenau,Process Optimization Group,Ilmenau,Germany,98693"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technische Universitat Ilmenau,Process Optimization Group,Ilmenau,Germany,98693","institution_ids":["https://openalex.org/I119449181"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"925","last_page":"929"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9995999932289124,"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"}},{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9878000020980835,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9574999809265137,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8151179552078247},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.7797409296035767},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.7315437197685242},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6808276176452637},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.5571670532226562},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5514633059501648},{"id":"https://openalex.org/keywords/raw-data","display_name":"Raw data","score":0.5416373014450073},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.49625903367996216},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.4953655004501343},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4854736626148224},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4362953007221222},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.43597280979156494},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.4102697968482971},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4012152850627899},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.370136022567749},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.11958369612693787}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8151179552078247},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.7797409296035767},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.7315437197685242},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6808276176452637},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.5571670532226562},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5514633059501648},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.5416373014450073},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.49625903367996216},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.4953655004501343},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4854736626148224},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4362953007221222},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.43597280979156494},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.4102697968482971},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4012152850627899},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.370136022567749},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.11958369612693787},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip49359.2023.10222104","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icip49359.2023.10222104","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.5199999809265137,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W2150066425","https://openalex.org/W2798991696","https://openalex.org/W2842511635","https://openalex.org/W2949708697","https://openalex.org/W2968296999","https://openalex.org/W3035172746","https://openalex.org/W3035524453","https://openalex.org/W3036224891","https://openalex.org/W3096398849","https://openalex.org/W3171007011","https://openalex.org/W3174654838","https://openalex.org/W3217335336","https://openalex.org/W4242177601","https://openalex.org/W4281774103","https://openalex.org/W4287636287","https://openalex.org/W4296118359","https://openalex.org/W4297808394","https://openalex.org/W4312414163","https://openalex.org/W4312419284","https://openalex.org/W4382240183","https://openalex.org/W6763422710","https://openalex.org/W6779997284","https://openalex.org/W6784531446","https://openalex.org/W6797589674"],"related_works":["https://openalex.org/W4319317934","https://openalex.org/W2901265155","https://openalex.org/W2956374172","https://openalex.org/W4319837668","https://openalex.org/W4308071650","https://openalex.org/W3188333020","https://openalex.org/W4281783339","https://openalex.org/W1964041166","https://openalex.org/W4293094720","https://openalex.org/W2739701376"],"abstract_inverted_index":{"Point":[0],"cloud":[1,62],"LiDAR":[2],"data":[3,15,21,28,79,116],"are":[4],"increasingly":[5],"used":[6],"for":[7,11,35,97,117],"detecting":[8],"road":[9],"situations":[10],"autonomous":[12],"driving.":[13],"As":[14],"acquisition":[16],"is":[17,37],"much":[18],"cheaper":[19],"than":[20],"annotation,":[22],"the":[23,26,76,92],"classification":[24],"of":[25,33,75,94],"collected":[27,77],"and":[29,50],"selecting":[30],"a":[31,47,51,66,81],"part":[32],"it":[34],"annotation":[36,98],"an":[38],"important":[39],"pre-processing":[40],"step.":[41],"In":[42,107],"this":[43,90],"study,":[44],"we":[45],"propose":[46,65],"self-supervised":[48],"method":[49,110],"corresponding":[52],"package":[53],"(PSCO)":[54],"to":[55,99],"classify":[56],"driving":[57],"scenes":[58],"in":[59],"large-scale":[60],"point":[61],"data.":[63],"We":[64],"contrastive":[67],"learning":[68],"approach":[69],"which":[70],"encodes":[71],"each":[72],"single":[73],"frame":[74],"raw":[78],"into":[80],"feature":[82],"vector":[83],"that":[84],"can":[85,103,111],"be":[86,104],"effectively":[87],"classified.":[88],"Using":[89],"approach,":[91],"number":[93],"necessary":[95],"frames":[96],"train":[100],"scene-based":[101],"models":[102],"significantly":[105],"reduced.":[106],"addition,":[108],"our":[109],"also":[112],"select":[113],"specific":[114],"scenario":[115],"different":[118],"individual":[119],"training":[120],"stages.":[121]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
