{"id":"https://openalex.org/W4408713690","doi":"https://doi.org/10.1109/itsc58415.2024.10919493","title":"Robust Vehicle Localization and Tracking in Rain Using Street Maps","display_name":"Robust Vehicle Localization and Tracking in Rain Using Street Maps","publication_year":2024,"publication_date":"2024-09-24","ids":{"openalex":"https://openalex.org/W4408713690","doi":"https://doi.org/10.1109/itsc58415.2024.10919493"},"language":"en","primary_location":{"id":"doi:10.1109/itsc58415.2024.10919493","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc58415.2024.10919493","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 27th 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/A5112999361","display_name":"Yu Xiang Tan","orcid":null},"institutions":[{"id":"https://openalex.org/I152815399","display_name":"Singapore University of Technology and Design","ror":"https://ror.org/05j6fvn87","country_code":"SG","type":"education","lineage":["https://openalex.org/I152815399"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Yu Xiang Tan","raw_affiliation_strings":["Singapore University of Technology and Design,Singapore"],"affiliations":[{"raw_affiliation_string":"Singapore University of Technology and Design,Singapore","institution_ids":["https://openalex.org/I152815399"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082684563","display_name":"Malika Meghjani","orcid":"https://orcid.org/0000-0002-8609-3142"},"institutions":[{"id":"https://openalex.org/I152815399","display_name":"Singapore University of Technology and Design","ror":"https://ror.org/05j6fvn87","country_code":"SG","type":"education","lineage":["https://openalex.org/I152815399"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Malika Meghjani","raw_affiliation_strings":["Singapore University of Technology and Design,Singapore"],"affiliations":[{"raw_affiliation_string":"Singapore University of Technology and Design,Singapore","institution_ids":["https://openalex.org/I152815399"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5112999361"],"corresponding_institution_ids":["https://openalex.org/I152815399"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16605122,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1389","last_page":"1396"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9990000128746033,"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":0.9990000128746033,"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/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9972000122070312,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9937000274658203,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/tracking","display_name":"Tracking (education)","score":0.5763740539550781},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5565029382705688},{"id":"https://openalex.org/keywords/vehicle-tracking-system","display_name":"Vehicle tracking system","score":0.5441282391548157},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4485607147216797},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43093276023864746},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.10531109571456909}],"concepts":[{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5763740539550781},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5565029382705688},{"id":"https://openalex.org/C84119951","wikidata":"https://www.wikidata.org/wiki/Q3498530","display_name":"Vehicle tracking system","level":3,"score":0.5441282391548157},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4485607147216797},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43093276023864746},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.10531109571456909},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc58415.2024.10919493","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc58415.2024.10919493","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6499999761581421,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1965572510","https://openalex.org/W1989750313","https://openalex.org/W2021851106","https://openalex.org/W2101805040","https://openalex.org/W2150066425","https://openalex.org/W2182229738","https://openalex.org/W2200124539","https://openalex.org/W2474281075","https://openalex.org/W2558027072","https://openalex.org/W2564632156","https://openalex.org/W2812952439","https://openalex.org/W2990138404","https://openalex.org/W3003178336","https://openalex.org/W3003397068","https://openalex.org/W3008897023","https://openalex.org/W3018424141","https://openalex.org/W3042896528","https://openalex.org/W3043971245","https://openalex.org/W3087815220","https://openalex.org/W3130465612","https://openalex.org/W3135038782","https://openalex.org/W3137210930","https://openalex.org/W3181568189","https://openalex.org/W4297094408","https://openalex.org/W4315778466","https://openalex.org/W4387143406","https://openalex.org/W4388983935","https://openalex.org/W6685664056","https://openalex.org/W6800540912"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"GPS-based":[0],"vehicle":[1,54,107],"localization":[2,55,108],"and":[3,15,25,68,81,97,109,135,148,170,186,202],"tracking":[4],"suffers":[5],"from":[6,129],"unstable":[7],"positional":[8],"information":[9,62,104],"commonly":[10],"experienced":[11],"in":[12,16,73,79,146,182,187,199,205],"tunnel":[13],"segments":[14,145],"dense":[17],"urban":[18],"areas.":[19],"Also,":[20],"both":[21],"Visual":[22,26],"Odometry":[23,28],"(VO)":[24],"Inertial":[27],"(VIO)":[29],"are":[30],"susceptible":[31],"to":[32,63,113],"adverse":[33],"weather":[34,137,201,207],"conditions":[35],"that":[36,56,91,152],"causes":[37],"occlusions":[38],"or":[39],"blur":[40],"on":[41,124,189],"the":[42,154,157,164,167],"visual":[43,144],"input.":[44],"In":[45],"this":[46],"paper,":[47],"we":[48],"propose":[49],"a":[50,87,183,190,209],"novel":[51],"approach":[52,85,115,123],"for":[53,105,208],"uses":[57],"street":[58],"network":[59],"based":[60],"map":[61,103,158],"correct":[64],"drifting":[65,95],"odometry":[66],"estimates":[67,99],"intermittent":[69,93],"GPS":[70],"measurements":[71],"especially,":[72],"adversarial":[74],"scenarios":[75],"such":[76],"as":[77,116],"driving":[78],"rain":[80,136,206],"tunnels.":[82],"Specifically,":[83],"our":[84,114,121,160,179],"is":[86],"flexible":[88],"fusion":[89],"algorithm":[90,162,181],"integrates":[92],"GPS,":[94],"IMU":[96],"VO":[98,169],"together":[100],"with":[101,153],"2D":[102],"robust":[106],"tracking.":[110],"We":[111,118,150,176],"refer":[112],"Map-Fusion.":[117],"robustly":[119],"evaluate":[120],"proposed":[122,180],"four":[125],"geographically":[126],"diverse":[127],"datasets":[128,140],"different":[130],"countries":[131],"ranging":[132],"across":[133,173],"clear":[134,200],"conditions.":[138],"These":[139],"also":[141,177],"include":[142],"challenging":[143],"tunnels":[147],"underpasses.":[149],"show":[151],"integration":[155],"of":[156,166],"information,":[159],"Map-Fusion":[161,195],"reduces":[163],"error":[165,198,204],"state-of-the-art":[168],"VIO":[171],"approaches":[172],"all":[174],"datasets.":[175],"validate":[178],"real-world":[184],"environment":[185],"real-time":[188],"hardware":[191],"constrained":[192],"mobile":[193],"robot.":[194],"achieved":[196],"2.46m":[197],"6.05m":[203],"150":[210],"<tex":[211],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[212],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$m$</tex>":[213],"route.":[214]},"counts_by_year":[],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}