{"id":"https://openalex.org/W4308080453","doi":"https://doi.org/10.1109/itsc55140.2022.9921814","title":"LiDAR Aided Cycle Slip Detection for GNSS Real-Time Kinematic Positioning in Urban Environments","display_name":"LiDAR Aided Cycle Slip Detection for GNSS Real-Time Kinematic Positioning in Urban Environments","publication_year":2022,"publication_date":"2022-10-08","ids":{"openalex":"https://openalex.org/W4308080453","doi":"https://doi.org/10.1109/itsc55140.2022.9921814"},"language":"en","primary_location":{"id":"doi:10.1109/itsc55140.2022.9921814","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc55140.2022.9921814","pdf_url":null,"source":{"id":"https://openalex.org/S4363607737","display_name":"2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)","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/A5024235564","display_name":"Feng Huang","orcid":"https://orcid.org/0000-0002-3821-5993"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Feng Huang","raw_affiliation_strings":["Hong Kong Polytechnic University,Hong Kong","Hong Kong Polytechnic University, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Hong Kong Polytechnic University,Hong Kong","institution_ids":["https://openalex.org/I14243506"]},{"raw_affiliation_string":"Hong Kong Polytechnic University, Hong Kong","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045346492","display_name":"Weisong Wen","orcid":"https://orcid.org/0000-0003-4158-0913"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Weisong Wen","raw_affiliation_strings":["Hong Kong Polytechnic University,Hong Kong","The Hong Kong Polytechnic University Shenzhen Research Institute","Hong Kong Polytechnic University, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Hong Kong Polytechnic University,Hong Kong","institution_ids":["https://openalex.org/I14243506"]},{"raw_affiliation_string":"The Hong Kong Polytechnic University Shenzhen Research Institute","institution_ids":["https://openalex.org/I14243506"]},{"raw_affiliation_string":"Hong Kong Polytechnic University, Hong Kong","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055598773","display_name":"Hoi\u2010Fung Ng","orcid":"https://orcid.org/0000-0001-8668-6290"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Hoi-Fung Ng","raw_affiliation_strings":["Hong Kong Polytechnic University,Hong Kong","Hong Kong Polytechnic University, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Hong Kong Polytechnic University,Hong Kong","institution_ids":["https://openalex.org/I14243506"]},{"raw_affiliation_string":"Hong Kong Polytechnic University, Hong Kong","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044957601","display_name":"Li\u2010Ta Hsu","orcid":"https://orcid.org/0000-0002-0352-741X"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Li-Ta Hsu","raw_affiliation_strings":["Hong Kong Polytechnic University,Hong Kong","Hong Kong Polytechnic University, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Hong Kong Polytechnic University,Hong Kong","institution_ids":["https://openalex.org/I14243506"]},{"raw_affiliation_string":"Hong Kong Polytechnic University, Hong Kong","institution_ids":["https://openalex.org/I14243506"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5024235564"],"corresponding_institution_ids":["https://openalex.org/I14243506"],"apc_list":null,"apc_paid":null,"fwci":2.7741,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.93407604,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1572","last_page":"1578"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10655","display_name":"GNSS positioning and interference","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/T10655","display_name":"GNSS positioning and interference","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/T11325","display_name":"Inertial Sensor and Navigation","score":0.996999979019165,"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":0.9940999746322632,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/gnss-applications","display_name":"GNSS applications","score":0.9200060367584229},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.6477559804916382},{"id":"https://openalex.org/keywords/kinematics","display_name":"Kinematics","score":0.6265931129455566},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6017135381698608},{"id":"https://openalex.org/keywords/real-time-kinematic","display_name":"Real Time Kinematic","score":0.559036374092102},{"id":"https://openalex.org/keywords/odometry","display_name":"Odometry","score":0.558630108833313},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5542916655540466},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.5323460698127747},{"id":"https://openalex.org/keywords/beidou-navigation-satellite-system","display_name":"BeiDou Navigation Satellite System","score":0.410377562046051},{"id":"https://openalex.org/keywords/geodesy","display_name":"Geodesy","score":0.3904731273651123},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.36537617444992065},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.32227784395217896},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2355441451072693},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.17524012923240662},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11696645617485046},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.07338950037956238}],"concepts":[{"id":"https://openalex.org/C14279187","wikidata":"https://www.wikidata.org/wiki/Q5514012","display_name":"GNSS applications","level":3,"score":0.9200060367584229},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.6477559804916382},{"id":"https://openalex.org/C39920418","wikidata":"https://www.wikidata.org/wiki/Q11476","display_name":"Kinematics","level":2,"score":0.6265931129455566},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6017135381698608},{"id":"https://openalex.org/C93103318","wikidata":"https://www.wikidata.org/wiki/Q980965","display_name":"Real Time Kinematic","level":4,"score":0.559036374092102},{"id":"https://openalex.org/C49441653","wikidata":"https://www.wikidata.org/wiki/Q2014717","display_name":"Odometry","level":4,"score":0.558630108833313},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5542916655540466},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.5323460698127747},{"id":"https://openalex.org/C2777783341","wikidata":"https://www.wikidata.org/wiki/Q857141","display_name":"BeiDou Navigation Satellite System","level":4,"score":0.410377562046051},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.3904731273651123},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.36537617444992065},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.32227784395217896},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2355441451072693},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.17524012923240662},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11696645617485046},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.07338950037956238},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc55140.2022.9921814","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc55140.2022.9921814","pdf_url":null,"source":{"id":"https://openalex.org/S4363607737","display_name":"2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.8399999737739563,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G521451245","display_name":null,"funder_award_id":"ZGD2","funder_id":"https://openalex.org/F4320322183","funder_display_name":"Huawei Technologies"}],"funders":[{"id":"https://openalex.org/F4320322183","display_name":"Huawei Technologies","ror":"https://ror.org/00cmhce21"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W205218418","https://openalex.org/W1579438189","https://openalex.org/W1584143882","https://openalex.org/W2029213856","https://openalex.org/W2030357106","https://openalex.org/W2037879427","https://openalex.org/W2044490862","https://openalex.org/W2095093213","https://openalex.org/W2098939290","https://openalex.org/W2131439959","https://openalex.org/W2152760296","https://openalex.org/W2165421589","https://openalex.org/W2277848489","https://openalex.org/W2531385306","https://openalex.org/W2790185474","https://openalex.org/W2904543104","https://openalex.org/W2908167297","https://openalex.org/W2963368668","https://openalex.org/W2989878538","https://openalex.org/W3005568231","https://openalex.org/W3035235746","https://openalex.org/W3142598625","https://openalex.org/W3164521861","https://openalex.org/W3171711237","https://openalex.org/W3175761519","https://openalex.org/W3205114100","https://openalex.org/W4225987324","https://openalex.org/W4250172714","https://openalex.org/W4280563530","https://openalex.org/W4403428004","https://openalex.org/W6632153913","https://openalex.org/W6687870145","https://openalex.org/W6729823087","https://openalex.org/W6734559897"],"related_works":["https://openalex.org/W1543145586","https://openalex.org/W2145243595","https://openalex.org/W4281670042","https://openalex.org/W4306769440","https://openalex.org/W3204981892","https://openalex.org/W3115229227","https://openalex.org/W4389332306","https://openalex.org/W113068560","https://openalex.org/W4304128137","https://openalex.org/W3163354205"],"abstract_inverted_index":{"Cycle":[0],"slip":[1,48,98,137],"of":[2,24,74,115,124,134,151,176],"carrier-phase":[3,70],"measurements":[4,71],"is":[5,81,93,99],"a":[6,45,111],"common":[7],"error":[8],"source":[9],"in":[10,27,110],"global":[11],"navigation":[12],"satellite":[13],"systems":[14],"(GNSS)":[15],"real-time":[16],"kinematic":[17],"(RTK)":[18],"positioning.":[19,106],"It":[20],"limits":[21],"the":[22,25,32,56,65,68,78,85,96,120,125,132,135,143,148,158,174,177],"performance":[23,121,133],"GNSS-RTK":[26,105,159],"urban":[28,113],"canyons":[29],"due":[30],"to":[31,83,101,118,147],"excessive":[33],"signal":[34],"reflections":[35],"from":[36,55],"buildings.":[37],"To":[38],"fill":[39],"this":[40,42],"gap,":[41],"paper":[43],"proposes":[44],"LiDAR-aided":[46,179],"cycle":[47,87,97,136],"detection":[49],"method":[50,145],"for":[51],"GNSS-RTK,":[52],"which":[53],"benefits":[54],"consecutive":[57],"relative":[58],"pose":[59],"estimated":[60],"by":[61,168],"LiDAR":[62,79],"odometry.":[63],"Specifically,":[64],"difference":[66],"between":[67],"triple-differenced":[69],"and":[72,122,162,170],"that":[73,131],"prediction":[75],"based":[76,155],"on":[77],"odometry":[80],"used":[82],"detect":[84],"potential":[86],"slips.":[88],"The":[89,128],"associated":[90],"integer":[91],"ambiguity":[92],"re-estimated":[94],"if":[95],"observed":[100],"obtain":[102],"an":[103],"improved":[104,141,167],"Experiments":[107],"were":[108],"conducted":[109],"typical":[112],"scenario":[114],"Hong":[116],"Kong":[117],"verify":[119],"effectiveness":[123],"proposed":[126,144,178],"method.":[127,156,180],"results":[129],"demonstrated":[130],"can":[138,165],"be":[139,166],"effectively":[140],"using":[142],"compared":[146],"conventional":[149],"loss":[150],"lock":[152],"indicator":[153],"(LLI)":[154],"Both":[157],"fixing":[160],"rate":[161],"positioning":[163],"accuracy":[164],"17.33%":[169],"13.86%,":[171],"respectively":[172],"with":[173],"help":[175]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}