{"id":"https://openalex.org/W3001498532","doi":"https://doi.org/10.1109/robio49542.2019.8961567","title":"Unsupervised Segmentation Of Urban 3D Point Cloud Based On Lidar-image","display_name":"Unsupervised Segmentation Of Urban 3D Point Cloud Based On Lidar-image","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3001498532","doi":"https://doi.org/10.1109/robio49542.2019.8961567","mag":"3001498532"},"language":"en","primary_location":{"id":"doi:10.1109/robio49542.2019.8961567","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio49542.2019.8961567","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Robotics and Biomimetics (ROBIO)","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/A5100631950","display_name":"Xia Yuan","orcid":"https://orcid.org/0000-0002-7271-0058"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xia Yuan","raw_affiliation_strings":["Nanjing University of Science and Technology,School of Computer Science and Engineering,Nanjing,Jiangsu,China","School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Science and Technology,School of Computer Science and Engineering,Nanjing,Jiangsu,China","institution_ids":["https://openalex.org/I36399199"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039336652","display_name":"Yangyukun Mao","orcid":null},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yangyukun Mao","raw_affiliation_strings":["Nanjing University of Science and Technology,School of Computer Science and Engineering,Nanjing,Jiangsu,China","School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Science and Technology,School of Computer Science and Engineering,Nanjing,Jiangsu,China","institution_ids":["https://openalex.org/I36399199"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101832764","display_name":"Chunxia Zhao","orcid":"https://orcid.org/0000-0001-6134-4251"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunxia Zhao","raw_affiliation_strings":["Nanjing University of Science and Technology,School of Computer Science and Engineering,Nanjing,Jiangsu,China","School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Science and Technology,School of Computer Science and Engineering,Nanjing,Jiangsu,China","institution_ids":["https://openalex.org/I36399199"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I36399199"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100631950"],"corresponding_institution_ids":["https://openalex.org/I36399199"],"apc_list":null,"apc_paid":null,"fwci":0.5588,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.65736272,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"2565","last_page":"2570"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9939000010490417,"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":0.989799976348877,"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/point-cloud","display_name":"Point cloud","score":0.8712776899337769},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.8424439430236816},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7287461757659912},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6260348558425903},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6235011219978333},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6058607697486877},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.5880972146987915},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5299830436706543},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.48031753301620483},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4289413094520569},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.41397935152053833},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.2996681034564972},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.19751986861228943},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12354102730751038}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.8712776899337769},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.8424439430236816},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7287461757659912},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6260348558425903},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6235011219978333},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6058607697486877},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.5880972146987915},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5299830436706543},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.48031753301620483},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4289413094520569},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.41397935152053833},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.2996681034564972},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.19751986861228943},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12354102730751038},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/robio49542.2019.8961567","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio49542.2019.8961567","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Robotics and Biomimetics (ROBIO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.8299999833106995}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2100887497","https://openalex.org/W2108897342","https://openalex.org/W2115519229","https://openalex.org/W2132360065","https://openalex.org/W2167222293","https://openalex.org/W2216023515","https://openalex.org/W2417447115","https://openalex.org/W2555618208","https://openalex.org/W2558294288","https://openalex.org/W2565029242","https://openalex.org/W2737777104","https://openalex.org/W2963400571","https://openalex.org/W2964062501","https://openalex.org/W4211230886"],"related_works":["https://openalex.org/W4319317934","https://openalex.org/W2901265155","https://openalex.org/W2956374172","https://openalex.org/W4281783339","https://openalex.org/W4319837668","https://openalex.org/W4308071650","https://openalex.org/W4293094720","https://openalex.org/W2739701376","https://openalex.org/W2114282491","https://openalex.org/W1522196789"],"abstract_inverted_index":{"As":[0],"one":[1],"of":[2,12,18,31,77],"the":[3,29,80,93,114],"most":[4],"vital":[5],"fields":[6],"in":[7,99],"3D":[8,47,55,100],"scene":[9],"understanding,":[10],"segmentation":[11],"lidar":[13],"point":[14,48,56],"cloud":[15,49,57],"has":[16],"verity":[17],"applications":[19],"such":[20],"as":[21],"unmanned":[22,70],"vehicle.":[23],"In":[24],"order":[25],"to":[26,44],"deal":[27],"with":[28,50],"problem":[30],"limited":[32],"local":[33],"computing":[34],"resources,":[35],"this":[36],"paper":[37],"proposes":[38],"a":[39,62,74],"two-step":[40],"unsupervised":[41],"learning-free":[42],"method":[43],"segment":[45],"sparse":[46],"low":[51],"computational":[52],"demands.":[53],"The":[54,89],"data":[58],"is":[59,73],"projected":[60],"into":[61,106],"lidar-specific":[63],"2D":[64],"coordinate":[65],"system":[66],"called":[67],"lidar-image.":[68],"For":[69],"vehicles,":[71],"road":[72,83],"special":[75],"kind":[76],"object,":[78],"so":[79],"algorithm":[81,90,116],"divides":[82],"firstly":[84],"by":[85],"using":[86],"improved":[87],"lidar-histogram.":[88],"further":[91],"examines":[92],"geometric":[94],"connection":[95],"between":[96],"adjacent":[97],"points":[98,105],"space,":[101],"thus":[102],"dividing":[103],"non-road":[104],"independent":[107],"subsets.":[108],"Experiments":[109],"on":[110],"KITTI":[111],"dataset":[112],"validate":[113],"proposed":[115],"outperforms":[117],"similar":[118],"methods.":[119]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}