{"id":"https://openalex.org/W3002676334","doi":"https://doi.org/10.1109/robio49542.2019.8961679","title":"Localizability of Laser SLAM Robot Based on Deep Learning","display_name":"Localizability of Laser SLAM Robot Based on Deep Learning","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3002676334","doi":"https://doi.org/10.1109/robio49542.2019.8961679","mag":"3002676334"},"language":"en","primary_location":{"id":"doi:10.1109/robio49542.2019.8961679","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio49542.2019.8961679","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":"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/A5037274043","display_name":"Zhaojian Li","orcid":"https://orcid.org/0000-0002-0189-8719"},"institutions":[{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaojian Li","raw_affiliation_strings":["School of Automobile, Chang'An University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automobile, Chang'An University, Xi'an, China","institution_ids":["https://openalex.org/I25355098"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041541559","display_name":"Yang Gao","orcid":"https://orcid.org/0000-0002-3069-9268"},"institutions":[{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Gao","raw_affiliation_strings":["School of Automobile, Chang'An University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automobile, Chang'An University, Xi'an, China","institution_ids":["https://openalex.org/I25355098"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100439215","display_name":"Shuqi Wang","orcid":"https://orcid.org/0000-0003-0365-8484"},"institutions":[{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuqi Wang","raw_affiliation_strings":["School of Automobile, Chang'An University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automobile, Chang'An University, Xi'an, China","institution_ids":["https://openalex.org/I25355098"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100325209","display_name":"Jiang Liu","orcid":"https://orcid.org/0000-0001-6281-6505"},"institutions":[{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiang Liu","raw_affiliation_strings":["School of Automobile, Chang'An University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automobile, Chang'An University, Xi'an, China","institution_ids":["https://openalex.org/I25355098"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I25355098"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"364","last_page":"369"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9997000098228455,"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":0.9997000098228455,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9966999888420105,"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":0.7805014848709106},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6691733598709106},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.6088318824768066},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.5577645897865295},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5458439588546753},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.5376208424568176},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5202870965003967},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.48780396580696106},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.46670791506767273},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.45475685596466064},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.44000017642974854},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4139735698699951}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7805014848709106},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6691733598709106},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.6088318824768066},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5577645897865295},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5458439588546753},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.5376208424568176},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5202870965003967},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48780396580696106},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.46670791506767273},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.45475685596466064},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.44000017642974854},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4139735698699951},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/robio49542.2019.8961679","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio49542.2019.8961679","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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W940128883","https://openalex.org/W1984936178","https://openalex.org/W2041610219","https://openalex.org/W2101230708","https://openalex.org/W2118890679","https://openalex.org/W2316759830","https://openalex.org/W2319764960","https://openalex.org/W2460509985","https://openalex.org/W2509428831","https://openalex.org/W2538659750","https://openalex.org/W2563250508","https://openalex.org/W2603855048","https://openalex.org/W2611210181","https://openalex.org/W2737100565","https://openalex.org/W2755600387","https://openalex.org/W2792435976","https://openalex.org/W2801117313","https://openalex.org/W2809054577","https://openalex.org/W2890501704","https://openalex.org/W2963610759","https://openalex.org/W2964209633","https://openalex.org/W3102908049"],"related_works":["https://openalex.org/W4323768008","https://openalex.org/W1941703695","https://openalex.org/W4248382324","https://openalex.org/W4293226380","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W3029198973"],"abstract_inverted_index":{"Positioning":[0],"is":[1,13,25,41],"the":[2,6,15,29,54,66,117,122,125],"key":[3],"technology":[4],"in":[5,50,127],"field":[7],"of":[8,17,28,90,124],"mobile":[9,106],"robot,":[10],"and":[11,39,62,83,97,112],"it":[12,40],"also":[14],"basis":[16],"various":[18],"tasks":[19],"such":[20],"as":[21,65],"autonomous":[22],"movement.":[23],"Localizability":[24],"a":[26,36,85,128],"measure":[27],"ability":[30],"to":[31,45],"achieve":[32],"accurate":[33],"positioning":[34,48,56,81],"for":[35,79,105],"given":[37,129],"location,":[38],"an":[42],"important":[43],"indicator":[44],"further":[46],"avoid":[47],"failure":[49],"upper":[51],"tasks.":[52],"Taking":[53],"fusion":[55],"method":[57],"based":[58],"on":[59],"map":[60],"matching":[61],"trajectory":[63],"estimation":[64],"research":[67],"object,":[68],"this":[69],"paper":[70],"analyses":[71],"its":[72],"working":[73],"mechanism,":[74],"designs":[75],"different":[76,80],"neural":[77,86,92,95],"networks":[78],"methods,":[82],"proposes":[84],"network":[87,96],"model":[88,101,118],"composed":[89],"convolutional":[91],"network,":[93],"recurrent":[94],"multi-layer":[98],"perceptron.":[99],"The":[100,110],"can":[102,119],"be":[103],"used":[104],"robot":[107,126],"estimate":[108,121],"localizability.":[109],"simulation":[111],"experimental":[113],"results":[114],"show":[115],"that":[116],"accurately":[120],"localizability":[123],"map.":[130]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
