乐胖代购免代理版

{"id":"https://openalex.org/W4391009453","doi":"https://doi.org/10.48550/arxiv.2401.07582","title":"Geo-locating Road Objects using Inverse Haversine Formula with NVIDIA Driveworks","display_name":"Geo-locating Road Objects using Inverse Haversine Formula with NVIDIA Driveworks","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4391009453","doi":"https://doi.org/10.48550/arxiv.2401.07582"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2401.07582","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false},"type":"preprint","type_crossref":"journal-article","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/abs/2401.07582","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000492881","display_name":"Mamoona Birkhez Shami","orcid":"https://orcid.org/0000-0003-1356-8159"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shami, Mamoona Birkhez","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108106864","display_name":"Gabriel Kiss","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kiss, Gabriel","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046969273","display_name":"T. A. Haakonsen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Haakonsen, Trond Arve","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5038367345","display_name":"Frank Lindseth","orcid":"https://orcid.org/0000-0002-4979-9218"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lindseth, Frank","raw_affiliation_strings":[],"affiliations":[]}],"institution_assertions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":78},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9998,"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":0.9998,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9946,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9942,"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/geolocation","display_name":"Geolocation","score":0.76539445}],"concepts":[{"id":"https://openalex.org/C22041718","wikidata":"https://www.wikidata.org/wiki/Q638949","display_name":"Geolocation","level":2,"score":0.76539445},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7296859},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.59904474},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4951388},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4571405},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45021445},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.42552316},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.4237978},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07487321},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2401.07582","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2401.07582","pdf_url":"http://arxiv.org/pdf/2401.07582","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},{"is_oa":false,"landing_page_url":"https://api.datacite.org/dois/10.48550/arxiv.2401.07582","pdf_url":null,"source":{"id":"https://openalex.org/S4393179698","display_name":"DataCite API","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I4210145204","host_organization_name":"DataCite","host_organization_lineage":["https://openalex.org/I4210145204"],"host_organization_lineage_names":["DataCite"],"type":"metadata"},"license":null,"license_id":null,"version":null}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2401.07582","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.61}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3105229732","https://openalex.org/W2939141610","https://openalex.org/W2892370851","https://openalex.org/W2799094075","https://openalex.org/W2380692702","https://openalex.org/W2187946387","https://openalex.org/W2163194970","https://openalex.org/W2144015590","https://openalex.org/W2052024186","https://openalex.org/W1591758638"],"abstract_inverted_index":{"Geolocation":[0],"is":[1,136],"integral":[2],"to":[3,20,45,102,148],"the":[4,29,35,41,56,104,107,133],"seamless":[5],"functioning":[6],"of":[7,55,106],"autonomous":[8,74,84],"vehicles":[9],"and":[10,40,64,73,88,116,138],"advanced":[11],"traffic":[12],"monitoring":[13],"infrastructures.":[14],"This":[15],"paper":[16],"introduces":[17],"a":[18,25,79,151],"methodology":[19],"geolocate":[21],"road":[22,47],"objects":[23,48],"using":[24,95],"monocular":[26],"camera,":[27],"leveraging":[28],"NVIDIA":[30,57,96],"DriveWorks":[31,58],"platform.":[32],"We":[33,77,119],"use":[34],"Centimeter":[36],"Positioning":[37],"Service":[38],"(CPOS)":[39],"inverse":[42],"Haversine":[43],"formula":[44],"geo-locate":[46],"accurately.":[49],"The":[50],"real-time":[51],"algorithm":[52],"processing":[53],"capability":[54],"platform":[59,135],"enables":[60],"instantaneous":[61],"object":[62],"recognition":[63],"spatial":[65],"localization":[66],"for":[67,83,92,110],"Advanced":[68],"Driver":[69],"Assistance":[70],"Systems":[71],"(ADAS)":[72],"driving":[75,85],"platforms.":[76],"present":[78],"measurement":[80],"pipeline":[81],"suitable":[82],"(AD)":[86],"platforms":[87],"provide":[89],"detailed":[90],"guidelines":[91],"calibrating":[93],"cameras":[94],"DriveWorks.":[97],"Experiments":[98],"were":[99],"carried":[100],"out":[101],"validate":[103],"accuracy":[105],"proposed":[108],"method":[109],"geolocating":[111],"targets":[112,126],"in":[113],"both":[114],"controlled":[115],"dynamic":[117],"settings.":[118],"show":[120],"that":[121],"our":[122],"approach":[123],"can":[124],"locate":[125],"with":[127],"less":[128,139],"than":[129,140],"1m":[130],"error":[131,142],"when":[132],"AD":[134],"stationary":[137],"4m":[141],"at":[143],"higher":[144],"speeds":[145],"(i.e.":[146],"up":[147],"60km/h)":[149],"within":[150],"15m":[152],"radius.":[153]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4391009453","counts_by_year":[],"updated_date":"2025-04-04T05:35:01.344140","created_date":"2024-01-19"}