{"id":"https://openalex.org/W2537159558","doi":"https://doi.org/10.1109/acpr.2011.6166587","title":"3D LIDAR-based ground segmentation","display_name":"3D LIDAR-based ground segmentation","publication_year":2011,"publication_date":"2011-11-01","ids":{"openalex":"https://openalex.org/W2537159558","doi":"https://doi.org/10.1109/acpr.2011.6166587","mag":"2537159558"},"language":"en","primary_location":{"id":"doi:10.1109/acpr.2011.6166587","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acpr.2011.6166587","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The First Asian Conference on Pattern Recognition","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":null,"display_name":"Chen Tongtong","orcid":null},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chen Tongtong","raw_affiliation_strings":["College of Mechatronic Engineering and Automation, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Mechatronic Engineering and Automation, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Dai Bin","orcid":null},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dai Bin","raw_affiliation_strings":["College of Mechatronic Engineering and Automation, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Mechatronic Engineering and Automation, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Liu Daxue","orcid":null},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liu Daxue","raw_affiliation_strings":["College of Mechatronic Engineering and Automation, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Mechatronic Engineering and Automation, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101753955","display_name":"Bo Zhang","orcid":"https://orcid.org/0000-0002-3018-9954"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang Bo","raw_affiliation_strings":["General Armament Ministry, Trucks and Ships Military Delegate Bureau, Beijing, China"],"affiliations":[{"raw_affiliation_string":"General Armament Ministry, Trucks and Ships Military Delegate Bureau, Beijing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":null,"display_name":"Liu Qixu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu Qixu","raw_affiliation_strings":["General Armament Ministry, Trucks and Ships Military Delegate Bureau, Beijing, China"],"affiliations":[{"raw_affiliation_string":"General Armament Ministry, Trucks and Ships Military Delegate Bureau, Beijing, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":2.7218,"has_fulltext":false,"cited_by_count":37,"citation_normalized_percentile":{"value":0.89627469,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"446","last_page":"450"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9984999895095825,"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":0.9984999895095825,"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":0.996999979019165,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9969000220298767,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.8136260509490967},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7007350325584412},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7002086043357849},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5868338942527771},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.5849965214729309},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5587732791900635},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.5489037036895752},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5251359939575195},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.462146133184433},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4304133951663971},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4107789099216461},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.38588619232177734},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.3825536072254181},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.21191731095314026},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09101751446723938},{"id":"https://openalex.org/keywords/geodesy","display_name":"Geodesy","score":0.07785359025001526}],"concepts":[{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.8136260509490967},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7007350325584412},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7002086043357849},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5868338942527771},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.5849965214729309},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5587732791900635},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.5489037036895752},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5251359939575195},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.462146133184433},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4304133951663971},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4107789099216461},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.38588619232177734},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.3825536072254181},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.21191731095314026},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09101751446723938},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.07785359025001526},{"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/acpr.2011.6166587","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acpr.2011.6166587","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The First Asian Conference on Pattern Recognition","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8399999737739563,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W155419516","https://openalex.org/W1746819321","https://openalex.org/W2051610568","https://openalex.org/W2086495393","https://openalex.org/W2132360065","https://openalex.org/W2143064560","https://openalex.org/W2154649109","https://openalex.org/W2154844948","https://openalex.org/W3212743282","https://openalex.org/W4211049957"],"related_works":["https://openalex.org/W4319317934","https://openalex.org/W2901265155","https://openalex.org/W2956374172","https://openalex.org/W4319837668","https://openalex.org/W4293094720","https://openalex.org/W2739701376","https://openalex.org/W4399442168","https://openalex.org/W2114282491","https://openalex.org/W1964286703","https://openalex.org/W2169866437"],"abstract_inverted_index":{"Obtaining":[0],"a":[1,38],"comprehensive":[2],"model":[3,54],"of":[4,87],"large":[5],"and":[6,18,55,81],"complex":[7],"ground":[8,26,65],"typically":[9],"is":[10,43,61],"crucial":[11],"for":[12,29,66],"autonomous":[13,75],"driving":[14],"both":[15],"in":[16,77],"urban":[17],"countryside":[19],"environments.":[20],"This":[21],"paper":[22],"presents":[23],"an":[24],"improved":[25],"segmentation":[27],"method":[28,95],"3D":[30],"LIDAR":[31],"point":[32],"clouds.":[33],"Our":[34],"approach":[35],"builds":[36],"on":[37],"polar":[39],"grid":[40],"map,":[41],"which":[42],"divided":[44],"into":[45],"some":[46],"sectors,":[47],"then":[48],"1D":[49],"Gaussian":[50],"process":[51],"(GP)":[52],"regression":[53],"Incremental":[56],"Sample":[57],"Consensus":[58],"(INSAC)":[59],"algorithm":[60],"used":[62],"to":[63,85],"extract":[64],"every":[67],"sector.":[68],"Experiments":[69],"are":[70,83],"carried":[71],"out":[72],"at":[73],"the":[74,88],"vehicle":[76],"different":[78],"outdoor":[79],"scenes,":[80],"results":[82],"compared":[84],"those":[86],"existing":[89],"method.":[90],"We":[91],"show":[92],"that":[93],"our":[94],"can":[96],"get":[97],"more":[98],"promising":[99],"performance.":[100]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":6}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}
