{"id":"https://openalex.org/W4366310325","doi":"https://doi.org/10.1109/icite56321.2022.10101476","title":"DyLESC: A Dynamic LiDAR Extrinsic Self-Calibration Method for Intelligent Driving Vehicles","display_name":"DyLESC: A Dynamic LiDAR Extrinsic Self-Calibration Method for Intelligent Driving Vehicles","publication_year":2022,"publication_date":"2022-11-11","ids":{"openalex":"https://openalex.org/W4366310325","doi":"https://doi.org/10.1109/icite56321.2022.10101476"},"language":"en","primary_location":{"id":"doi:10.1109/icite56321.2022.10101476","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icite56321.2022.10101476","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 7th International Conference on Intelligent Transportation Engineering (ICITE)","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/A5002766256","display_name":"Haoxiang Jie","orcid":"https://orcid.org/0000-0001-6434-8119"},"institutions":[{"id":"https://openalex.org/I4210134419","display_name":"Neusoft (China)","ror":"https://ror.org/02zc84r97","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210134419"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haoxiang Jie","raw_affiliation_strings":["Automotive Technology Company,Neusoft Reach,Shanghai,China","Neusoft Reach, Automotive Technology Company, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Automotive Technology Company,Neusoft Reach,Shanghai,China","institution_ids":["https://openalex.org/I4210134419"]},{"raw_affiliation_string":"Neusoft Reach, Automotive Technology Company, Shanghai, China","institution_ids":["https://openalex.org/I4210134419"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073628821","display_name":"Yibo Zhou","orcid":"https://orcid.org/0000-0003-1862-9926"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yibo Zhou","raw_affiliation_strings":["Megvii Research,Shanghai,China","Megvii Research, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Megvii Research,Shanghai,China","institution_ids":[]},{"raw_affiliation_string":"Megvii Research, Shanghai, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007849413","display_name":"Zuotao Ning","orcid":null},"institutions":[{"id":"https://openalex.org/I4210134419","display_name":"Neusoft (China)","ror":"https://ror.org/02zc84r97","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210134419"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zuotao Ning","raw_affiliation_strings":["Automotive Technology Company,Neusoft Reach,Shanghai,China","Neusoft Reach, Automotive Technology Company, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Automotive Technology Company,Neusoft Reach,Shanghai,China","institution_ids":["https://openalex.org/I4210134419"]},{"raw_affiliation_string":"Neusoft Reach, Automotive Technology Company, Shanghai, China","institution_ids":["https://openalex.org/I4210134419"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033807852","display_name":"Q\u01d0x\u0131\u0304 Zh\u00e0o","orcid":null},"institutions":[{"id":"https://openalex.org/I4210134419","display_name":"Neusoft (China)","ror":"https://ror.org/02zc84r97","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210134419"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qixi Zhao","raw_affiliation_strings":["Automotive Technology Company,Neusoft Reach,Shanghai,China","Neusoft Reach, Automotive Technology Company, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Automotive Technology Company,Neusoft Reach,Shanghai,China","institution_ids":["https://openalex.org/I4210134419"]},{"raw_affiliation_string":"Neusoft Reach, Automotive Technology Company, Shanghai, China","institution_ids":["https://openalex.org/I4210134419"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100720045","display_name":"Lifeng Liu","orcid":"https://orcid.org/0000-0002-0187-9243"},"institutions":[{"id":"https://openalex.org/I4210134419","display_name":"Neusoft (China)","ror":"https://ror.org/02zc84r97","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210134419"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lifeng Liu","raw_affiliation_strings":["Automotive Technology Company,Neusoft Reach,Shanghai,China","Neusoft Reach, Automotive Technology Company, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Automotive Technology Company,Neusoft Reach,Shanghai,China","institution_ids":["https://openalex.org/I4210134419"]},{"raw_affiliation_string":"Neusoft Reach, Automotive Technology Company, Shanghai, China","institution_ids":["https://openalex.org/I4210134419"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045863168","display_name":"Jun Hu","orcid":"https://orcid.org/0000-0002-7094-1901"},"institutions":[{"id":"https://openalex.org/I4210134419","display_name":"Neusoft (China)","ror":"https://ror.org/02zc84r97","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210134419"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Hu","raw_affiliation_strings":["Automotive Technology Company,Neusoft Reach,Shanghai,China","Neusoft Reach, Automotive Technology Company, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Automotive Technology Company,Neusoft Reach,Shanghai,China","institution_ids":["https://openalex.org/I4210134419"]},{"raw_affiliation_string":"Neusoft Reach, Automotive Technology Company, Shanghai, China","institution_ids":["https://openalex.org/I4210134419"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5002766256"],"corresponding_institution_ids":["https://openalex.org/I4210134419"],"apc_list":null,"apc_paid":null,"fwci":0.6159,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.79734384,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"185","last_page":"190"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9998999834060669,"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":0.9998999834060669,"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/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.9073176383972168},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.7969826459884644},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.715203583240509},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7119005918502808},{"id":"https://openalex.org/keywords/inertial-measurement-unit","display_name":"Inertial measurement unit","score":0.7001633644104004},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.693192720413208},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6051089763641357},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.5912750363349915},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5491601824760437},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.47543004155158997},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4406542479991913},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.43890029191970825},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1728649139404297},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12437212467193604}],"concepts":[{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.9073176383972168},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.7969826459884644},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.715203583240509},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7119005918502808},{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.7001633644104004},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.693192720413208},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6051089763641357},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.5912750363349915},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5491601824760437},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.47543004155158997},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4406542479991913},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.43890029191970825},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1728649139404297},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12437212467193604},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icite56321.2022.10101476","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icite56321.2022.10101476","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 7th International Conference on Intelligent Transportation Engineering (ICITE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5400000214576721,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1451881698","https://openalex.org/W1896525902","https://openalex.org/W2020642148","https://openalex.org/W2022594118","https://openalex.org/W2085261163","https://openalex.org/W2146563043","https://openalex.org/W2200137904","https://openalex.org/W2296228853","https://openalex.org/W2336895434","https://openalex.org/W2617121149","https://openalex.org/W2755108438","https://openalex.org/W2766563745","https://openalex.org/W2968296999","https://openalex.org/W2969991623","https://openalex.org/W3017590735","https://openalex.org/W3024394053","https://openalex.org/W3106149304","https://openalex.org/W4205127422","https://openalex.org/W4236796448","https://openalex.org/W6687746309"],"related_works":["https://openalex.org/W4319317934","https://openalex.org/W2901265155","https://openalex.org/W2956374172","https://openalex.org/W4293094720","https://openalex.org/W2739701376","https://openalex.org/W2004312940","https://openalex.org/W2374361882","https://openalex.org/W1969479488","https://openalex.org/W1909961747","https://openalex.org/W1938318326"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"propose":[4],"a":[5,20,37,78,109],"novel":[6],"LiDAR":[7,32,65,101,127],"extrinsic":[8,66,128],"parameter":[9],"self-calibration":[10],"method,":[11],"DyLESC.":[12],"With":[13],"the":[14,31,41,44,58,61,74,84,92,94,100,105,114,126],"driving":[15],"trajectories":[16],"obtained":[17],"from":[18,99],"GPS/IMU,":[19],"set":[21],"of":[22,43,60,88],"point":[23,45,62,79],"cloud":[24,46,63,80],"maps":[25],"can":[26,123],"be":[27],"established":[28],"by":[29],"accumulating":[30],"frames.":[33,102],"The":[34,71,117],"method":[35,72,106],"introduces":[36],"function":[38],"to":[39,82],"evaluate":[40],"blurriness":[42,59],"maps,":[47,64],"which":[48],"involves":[49],"both":[50,107],"geometrical":[51],"features":[52],"and":[53,112],"point-number":[54],"factors.":[55],"By":[56],"minimizing":[57],"parameters":[67],"are":[68,97],"automatically":[69],"calibrated.":[70],"limits":[73],"frame":[75],"number":[76],"in":[77,108,113],"map":[81],"avoid":[83],"accumulated":[85],"bumpy":[86],"errors":[87],"GPS/IMU.":[89],"For":[90],"improving":[91],"robustness,":[93],"moving":[95],"objects":[96],"removed":[98],"We":[103],"test":[104],"simulation":[110],"environment":[111],"real":[115],"world.":[116],"experiment":[118],"result":[119],"shows":[120],"that":[121],"DyLESC":[122],"accurately":[124],"calibrate":[125],"parameters.":[129]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
