{"id":"https://openalex.org/W2921988782","doi":"https://doi.org/10.1109/robio.2018.8664810","title":"A General Approach of Calculating Semantic Object Distances from Complex Point Clouds","display_name":"A General Approach of Calculating Semantic Object Distances from Complex Point Clouds","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2921988782","doi":"https://doi.org/10.1109/robio.2018.8664810","mag":"2921988782"},"language":"en","primary_location":{"id":"doi:10.1109/robio.2018.8664810","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio.2018.8664810","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 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/A5043621252","display_name":"Shuai Guo","orcid":"https://orcid.org/0000-0002-8774-4963"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuai Guo","raw_affiliation_strings":["School of Information Engineering of Zhengzhou University, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering of Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063905802","display_name":"Rongchuan Sun","orcid":"https://orcid.org/0000-0002-0890-9097"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rongchuan Sun","raw_affiliation_strings":["Robotics and Microsystems Center & Collaborative Innovation Center of Suzhou Nano Science and Technology, Soochow University, Suzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Robotics and Microsystems Center & Collaborative Innovation Center of Suzhou Nano Science and Technology, Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015968549","display_name":"Chaoquan Tang","orcid":"https://orcid.org/0000-0003-1641-9845"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaoquan Tang","raw_affiliation_strings":["School of Mechatronic Engineering, China University of Mining and Technology, Xuzhou, Jiangsu Province, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechatronic Engineering, China University of Mining and Technology, Xuzhou, Jiangsu Province, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101577180","display_name":"Yi Sun","orcid":"https://orcid.org/0000-0002-6124-4127"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Sun","raw_affiliation_strings":["School of Information Engineering of Zhengzhou University, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering of Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.21475036,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"31","issue":null,"first_page":"820","last_page":"825"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9995999932289124,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9970999956130981,"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":0.9926999807357788,"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/point-cloud","display_name":"Point cloud","score":0.8243063688278198},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7553521394729614},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.7418961524963379},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.675312876701355},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6013057231903076},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5919001698493958},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.5285117626190186},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43517518043518066},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.4335755407810211},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.4179016649723053},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3307614326477051},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.12833404541015625},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12185338139533997}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.8243063688278198},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7553521394729614},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.7418961524963379},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.675312876701355},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6013057231903076},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5919001698493958},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.5285117626190186},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43517518043518066},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.4335755407810211},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.4179016649723053},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3307614326477051},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.12833404541015625},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12185338139533997},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/robio.2018.8664810","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio.2018.8664810","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Robotics and Biomimetics (ROBIO)","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":22,"referenced_works":["https://openalex.org/W1945406211","https://openalex.org/W1972338087","https://openalex.org/W1972671602","https://openalex.org/W2019854335","https://openalex.org/W2073660060","https://openalex.org/W2088888418","https://openalex.org/W2118040592","https://openalex.org/W2127578024","https://openalex.org/W2143864104","https://openalex.org/W2146881125","https://openalex.org/W2155893237","https://openalex.org/W2157369266","https://openalex.org/W2322480645","https://openalex.org/W2441463184","https://openalex.org/W2527379740","https://openalex.org/W2557728737","https://openalex.org/W2581584006","https://openalex.org/W2753226480","https://openalex.org/W2771444654","https://openalex.org/W2950094539","https://openalex.org/W2963357556","https://openalex.org/W6643299237"],"related_works":["https://openalex.org/W4389574804","https://openalex.org/W3016928466","https://openalex.org/W2936725271","https://openalex.org/W2114275278","https://openalex.org/W1489511283","https://openalex.org/W2974914859","https://openalex.org/W2026565050","https://openalex.org/W2110244802","https://openalex.org/W2163728705","https://openalex.org/W949345935"],"abstract_inverted_index":{"RGBD":[0],"sensors":[1],"are":[2],"widely":[3],"used":[4,87],"in":[5,53,79,82],"current":[6],"robot":[7],"research":[8],"as":[9,116],"they":[10],"have":[11,124],"the":[12,63,71,74,90,98,121,126,129],"capacities":[13],"of":[14,65,73,128],"measuring":[15],"geometrical":[16],"distances":[17,34],"and":[18,120],"providing":[19],"dense":[20],"point":[21,37],"clouds.":[22,38],"However,":[23],"it":[24],"is":[25,51,77,86,105],"still":[26],"a":[27,43,57,101,117],"difficult":[28],"problem":[29],"to":[30,88],"extract":[31],"semantic":[32,67],"object":[33,68,109],"from":[35],"these":[36],"To":[39,96],"solve":[40],"this":[41,54,83],"problem,":[42],"novel":[44],"approach":[45,76],"based":[46,94],"on":[47],"BP":[48,91],"neural":[49,92],"network":[50,93],"proposed":[52,75],"paper.":[55],"As":[56],"start":[58],"point,":[59],"we":[60],"first":[61],"analyze":[62],"complexity":[64],"obtaining":[66],"distances.":[69],"Then,":[70],"principle":[72],"introduced":[78],"detail.":[80],"Besides,":[81],"work,":[84],"Tensorflow":[85],"implement":[89],"approach.":[95,130],"make":[97],"training/evaluation":[99],"dataset,":[100],"special":[102],"software":[103],"tool":[104],"developed.":[106],"Finally,":[107],"an":[108],"with":[110],"complex":[111],"geometry":[112],"has":[113],"been":[114],"selected":[115],"test":[118],"object,":[119],"experimental":[122],"results":[123],"verified":[125],"effectiveness":[127]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
