{"id":"https://openalex.org/W2769422688","doi":"https://doi.org/10.1109/iccp.2017.8117022","title":"An approach for segmenting 3D LiDAR data using multi-volume grid structures","display_name":"An approach for segmenting 3D LiDAR data using multi-volume grid structures","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2769422688","doi":"https://doi.org/10.1109/iccp.2017.8117022","mag":"2769422688"},"language":"en","primary_location":{"id":"doi:10.1109/iccp.2017.8117022","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccp.2017.8117022","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 13th IEEE International Conference on Intelligent Computer Communication and Processing (ICCP)","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/A5035724665","display_name":"Selma Goga","orcid":null},"institutions":[{"id":"https://openalex.org/I158333966","display_name":"Technical University of Cluj-Napoca","ror":"https://ror.org/03r8nwp71","country_code":"RO","type":"education","lineage":["https://openalex.org/I158333966"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Selma Goga","raw_affiliation_strings":["Computer Science Department, Technical University of Cluj-Napoca, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, Technical University of Cluj-Napoca, Romania","institution_ids":["https://openalex.org/I158333966"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047954457","display_name":"Sergiu Nedevschi","orcid":"https://orcid.org/0000-0003-2018-4647"},"institutions":[{"id":"https://openalex.org/I158333966","display_name":"Technical University of Cluj-Napoca","ror":"https://ror.org/03r8nwp71","country_code":"RO","type":"education","lineage":["https://openalex.org/I158333966"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Sergiu Nedevschi","raw_affiliation_strings":["Computer Science Department, Technical University of Cluj-Napoca, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, Technical University of Cluj-Napoca, Romania","institution_ids":["https://openalex.org/I158333966"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I158333966"],"apc_list":null,"apc_paid":null,"fwci":0.9271,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.74574848,"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":"309","last_page":"315"},"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9986000061035156,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7530242204666138},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.7246657609939575},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7109310030937195},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6363041400909424},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6057571172714233},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.5807229280471802},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.5799188017845154},{"id":"https://openalex.org/keywords/elevation","display_name":"Elevation (ballistics)","score":0.4822598099708557},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4537525177001953},{"id":"https://openalex.org/keywords/market-segmentation","display_name":"Market segmentation","score":0.4315984547138214},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4210847020149231},{"id":"https://openalex.org/keywords/data-structure","display_name":"Data structure","score":0.41088417172431946},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39076006412506104},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.19380322098731995},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.17025548219680786},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13198217749595642}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7530242204666138},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.7246657609939575},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7109310030937195},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6363041400909424},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6057571172714233},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.5807229280471802},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.5799188017845154},{"id":"https://openalex.org/C37054046","wikidata":"https://www.wikidata.org/wiki/Q641888","display_name":"Elevation (ballistics)","level":2,"score":0.4822598099708557},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4537525177001953},{"id":"https://openalex.org/C125308379","wikidata":"https://www.wikidata.org/wiki/Q363057","display_name":"Market segmentation","level":2,"score":0.4315984547138214},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4210847020149231},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.41088417172431946},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39076006412506104},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.19380322098731995},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.17025548219680786},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13198217749595642},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccp.2017.8117022","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccp.2017.8117022","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 13th IEEE International Conference on Intelligent Computer Communication and Processing (ICCP)","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":0.8399999737739563}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1870175875","https://openalex.org/W1943561716","https://openalex.org/W1961595631","https://openalex.org/W1992702096","https://openalex.org/W1992756301","https://openalex.org/W2034806832","https://openalex.org/W2119404509","https://openalex.org/W2143220699","https://openalex.org/W2316447390","https://openalex.org/W2460157116","https://openalex.org/W2561602564","https://openalex.org/W2591162375","https://openalex.org/W4233555447","https://openalex.org/W6639124853","https://openalex.org/W6734334479"],"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/W2164484807","https://openalex.org/W4293094720","https://openalex.org/W2739701376","https://openalex.org/W2081468532","https://openalex.org/W2186192402"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,30,92,101,137,142],"novel":[4],"approach":[5],"for":[6,18,38,53],"segmenting":[7],"and":[8,66,85,152],"space":[9],"partitioning":[10],"data":[11,32,131],"of":[12,47,50,61,96,115,120],"sparse":[13],"3D":[14],"LiDAR":[15],"point":[16],"clouds":[17],"autonomous":[19],"driving":[20,55],"tasks":[21,57],"in":[22,70,105,136,166],"urban":[23,71],"environments.":[24],"Our":[25],"main":[26],"focus":[27],"is":[28,59,125,133,164],"building":[29],"compact":[31],"representation":[33,95],"which":[34,58,132],"provides":[35],"enough":[36],"information":[37],"an":[39,48,121,161],"accurate":[40],"segmentation":[41,157],"algorithm.":[42],"We":[43,99],"propose":[44],"the":[45,97,109,116,128,149,153,167],"use":[46,91],"extension":[49],"elevation":[51],"maps":[52],"automotive":[54],"perception":[56],"capable":[60],"dealing":[62],"with":[63],"both":[64],"protruding":[65],"hanging":[67,75],"objects":[68],"found":[69],"scenes":[72],"like":[73],"bridges,":[74],"road":[76,83],"barrier,":[77],"traffic":[78],"tunnels,":[79],"tree":[80],"branches":[81],"over":[82],"surface,":[84],"so":[86],"on.":[87],"For":[88],"this":[89],"we":[90],"MultiVolume":[93],"grid":[94],"environment.":[98],"apply":[100],"fast":[102],"primary":[103],"classifier":[104],"order":[106],"to":[107],"label":[108],"surface":[110],"volumes":[111],"as":[112],"being":[113],"part":[114],"ground":[117],"segment":[118],"or":[119],"object":[122,129],"segment.":[123],"Segmentation":[124],"performed":[126,165],"on":[127,160],"labeled":[130],"previously":[134],"connected":[135],"spatial":[138],"graph":[139],"structure":[140],"using":[141],"height":[143],"overlapping":[144],"criterion.":[145],"A":[146],"comparison":[147],"between":[148],"proposed":[150],"method":[151,158],"popular":[154],"connected-components":[155],"based":[156],"applied":[159],"Elevation":[162],"Map":[163],"end.":[168]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2018,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
