{"id":"https://openalex.org/W4394597523","doi":"https://doi.org/10.1109/crc60659.2023.10488510","title":"MFAP-Net: A Study on Deep Learning Semantic Segmentation Framework for LiDAR Point Clouds","display_name":"MFAP-Net: A Study on Deep Learning Semantic Segmentation Framework for LiDAR Point Clouds","publication_year":2024,"publication_date":"2024-04-09","ids":{"openalex":"https://openalex.org/W4394597523","doi":"https://doi.org/10.1109/crc60659.2023.10488510"},"language":"en","primary_location":{"id":"doi:10.1109/crc60659.2023.10488510","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/crc60659.2023.10488510","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 8th International Conference on Control, Robotics and Cybernetics (CRC)","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/A5009884101","display_name":"Yawu Liu","orcid":"https://orcid.org/0000-0003-2386-3370"},"institutions":[{"id":"https://openalex.org/I56934997","display_name":"Changsha University of Science and Technology","ror":"https://ror.org/03yph8055","country_code":"CN","type":"education","lineage":["https://openalex.org/I56934997"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yawu Liu","raw_affiliation_strings":["Changsha University of Science and Technology,School of Electric and Information Engineering,Changsha,China","School of Electric and Information Engineering, Changsha University of Science and Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Changsha University of Science and Technology,School of Electric and Information Engineering,Changsha,China","institution_ids":["https://openalex.org/I56934997"]},{"raw_affiliation_string":"School of Electric and Information Engineering, Changsha University of Science and Technology, Changsha, China","institution_ids":["https://openalex.org/I56934997"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067530491","display_name":"Lifu Chen","orcid":"https://orcid.org/0000-0002-7788-7987"},"institutions":[{"id":"https://openalex.org/I56934997","display_name":"Changsha University of Science and Technology","ror":"https://ror.org/03yph8055","country_code":"CN","type":"education","lineage":["https://openalex.org/I56934997"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lifu Chen","raw_affiliation_strings":["Changsha University of Science and Technology,School of Electric and Information Engineering,Changsha,China","School of Electric and Information Engineering, Changsha University of Science and Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Changsha University of Science and Technology,School of Electric and Information Engineering,Changsha,China","institution_ids":["https://openalex.org/I56934997"]},{"raw_affiliation_string":"School of Electric and Information Engineering, Changsha University of Science and Technology, Changsha, China","institution_ids":["https://openalex.org/I56934997"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015844567","display_name":"Bingnan Wang","orcid":"https://orcid.org/0000-0002-7385-6171"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bingnan Wang","raw_affiliation_strings":["Chinese Academy of Sciences,Aerospace Information Research Institute,Beijing,China","Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Aerospace Information Research Institute,Beijing,China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050016843","display_name":"Maosheng Xiang","orcid":"https://orcid.org/0000-0002-5818-8769"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Maosheng Xiang","raw_affiliation_strings":["Chinese Academy of Sciences,Aerospace Information Research Institute,Beijing,China","Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Aerospace Information Research Institute,Beijing,China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057340435","display_name":"Haoda Chen","orcid":"https://orcid.org/0000-0002-5774-0742"},"institutions":[{"id":"https://openalex.org/I56934997","display_name":"Changsha University of Science and Technology","ror":"https://ror.org/03yph8055","country_code":"CN","type":"education","lineage":["https://openalex.org/I56934997"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoda Chen","raw_affiliation_strings":["Changsha University of Science and Technology,School of Electric and Information Engineering,Changsha,China","School of Electric and Information Engineering, Changsha University of Science and Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Changsha University of Science and Technology,School of Electric and Information Engineering,Changsha,China","institution_ids":["https://openalex.org/I56934997"]},{"raw_affiliation_string":"School of Electric and Information Engineering, Changsha University of Science and Technology, Changsha, China","institution_ids":["https://openalex.org/I56934997"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102881547","display_name":"Junqi Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I56934997","display_name":"Changsha University of Science and Technology","ror":"https://ror.org/03yph8055","country_code":"CN","type":"education","lineage":["https://openalex.org/I56934997"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junqi Zhao","raw_affiliation_strings":["Changsha University of Science and Technology,School of Electric and Information Engineering,Changsha,China","School of Electric and Information Engineering, Changsha University of Science and Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Changsha University of Science and Technology,School of Electric and Information Engineering,Changsha,China","institution_ids":["https://openalex.org/I56934997"]},{"raw_affiliation_string":"School of Electric and Information Engineering, Changsha University of Science and Technology, Changsha, China","institution_ids":["https://openalex.org/I56934997"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5009884101"],"corresponding_institution_ids":["https://openalex.org/I56934997"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05041272,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"326","last_page":"330"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9563000202178955,"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":0.9563000202178955,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9415000081062317,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.92330002784729,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7459875345230103},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.7085921764373779},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.6883215308189392},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6772874593734741},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6264386177062988},{"id":"https://openalex.org/keywords/net","display_name":"Net (polyhedron)","score":0.5402519106864929},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.463340163230896},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4618581235408783},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4148942232131958},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.24747732281684875},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.16987457871437073},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.05463847517967224}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7459875345230103},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.7085921764373779},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.6883215308189392},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6772874593734741},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6264386177062988},{"id":"https://openalex.org/C14166107","wikidata":"https://www.wikidata.org/wiki/Q253829","display_name":"Net (polyhedron)","level":2,"score":0.5402519106864929},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.463340163230896},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4618581235408783},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4148942232131958},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.24747732281684875},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.16987457871437073},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.05463847517967224},{"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/crc60659.2023.10488510","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/crc60659.2023.10488510","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 8th International Conference on Control, Robotics and Cybernetics (CRC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2229332794","https://openalex.org/W2331011752","https://openalex.org/W2770046775","https://openalex.org/W2775216572","https://openalex.org/W2963094037","https://openalex.org/W2963231572","https://openalex.org/W2979750740","https://openalex.org/W2997874850","https://openalex.org/W3012494314","https://openalex.org/W3103830808","https://openalex.org/W3168037706","https://openalex.org/W3171215128","https://openalex.org/W3176802407","https://openalex.org/W4226106508","https://openalex.org/W4230056077","https://openalex.org/W4234552385","https://openalex.org/W4235490688","https://openalex.org/W4236345650","https://openalex.org/W4362703713"],"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/W3188333020","https://openalex.org/W1964041166","https://openalex.org/W4293094720","https://openalex.org/W2739701376"],"abstract_inverted_index":{"LiDAR":[0,31],"is":[1],"widely":[2],"applied":[3],"in":[4,86],"diverse":[5],"fields":[6],"such":[7],"as":[8],"surveying,":[9],"mapping,":[10,61],"military":[11],"operations,":[12],"agriculture,":[13],"and":[14,21,37,62,68,107,116,136],"geology,":[15],"contributing":[16],"significantly":[17],"to":[18,78],"social":[19],"development":[20],"technological":[22],"progress.":[23],"However,":[24],"accurately":[25],"classifying":[26],"3D":[27,56,59],"point":[28,110],"clouds":[29],"from":[30,75],"encounters":[32],"challenges,":[33],"including":[34],"unclear":[35],"boundaries":[36],"insufficient":[38],"semantic":[39,80,92],"information":[40,74],"extraction.":[41],"This":[42],"paper":[43],"introduces":[44],"the":[45,102,143],"MFAP-Net":[46,52,121],"framework,":[47],"leveraging":[48],"deep":[49],"learning":[50],"networks.":[51,139],"incorporates":[53],"MLSE":[54],"for":[55,113,130],"position":[57],"coding,":[58],"coordinate":[60,73],"2D":[63],"localization,":[64],"capturing":[65],"spatial":[66],"characteristics":[67],"boundary":[69,81],"details.":[70],"DFAP":[71],"integrates":[72],"various":[76],"dimensions":[77],"address":[79],"challenges":[82],"effectively.":[83],"Penalty":[84],"terms":[85],"MLSE-DFAP":[87],"prevent":[88],"data":[89,112],"redundancy,":[90],"enhancing":[91],"segmentation":[93],"performance":[94],"by":[95],"minimizing":[96],"l2":[97],"distance":[98],"between":[99],"dimensions.":[100],"Evaluating":[101],"framework":[103],"using":[104],"110Kv,":[105],"220Kv,":[106],"500Kv":[108],"laser":[109],"cloud":[111],"power":[114,131],"corridors,":[115],"comparing":[117],"with":[118],"existing":[119],"networks,":[120],"achieves":[122],"a":[123],"remarkable":[124],"average":[125],"classification":[126],"accuracy":[127],"of":[128,145],"95.6%":[129],"lines,":[132],"towers,":[133],"buildings,":[134],"plants,":[135],"ground\u2014outperforming":[137],"other":[138],"Empirical":[140],"studies":[141],"confirm":[142],"efficacy":[144],"our":[146],"module.":[147]},"counts_by_year":[],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}