{"id":"https://openalex.org/W2113227594","doi":"https://doi.org/10.1145/1774674.1774718","title":"Map quality assessment","display_name":"Map quality assessment","publication_year":2008,"publication_date":"2008-08-19","ids":{"openalex":"https://openalex.org/W2113227594","doi":"https://doi.org/10.1145/1774674.1774718","mag":"2113227594"},"language":"en","primary_location":{"id":"doi:10.1145/1774674.1774718","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1774674.1774718","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th Workshop on Performance Metrics for Intelligent Systems","raw_type":"proceedings-article"},"type":"preprint","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/A5014062887","display_name":"Asim Imdad Wagan","orcid":"https://orcid.org/0000-0001-9765-5385"},"institutions":[{"id":"https://openalex.org/I1321296531","display_name":"National Institute of Standards and Technology","ror":"https://ror.org/05xpvk416","country_code":"US","type":"funder","lineage":["https://openalex.org/I1321296531","https://openalex.org/I1343035065"]},{"id":"https://openalex.org/I4210124755","display_name":"National Institute of Standards","ror":"https://ror.org/02zftm050","country_code":"EG","type":"facility","lineage":["https://openalex.org/I4210124755"]}],"countries":["EG","US"],"is_corresponding":false,"raw_author_name":"Asim Imdad Wagan","raw_affiliation_strings":["National Institute of Standards and Technology","National Institute of Standards and Technology,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Standards and Technology","institution_ids":["https://openalex.org/I4210124755","https://openalex.org/I1321296531"]},{"raw_affiliation_string":"National Institute of Standards and Technology,","institution_ids":["https://openalex.org/I4210124755","https://openalex.org/I1321296531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109896542","display_name":"Afzal Godil","orcid":null},"institutions":[{"id":"https://openalex.org/I1321296531","display_name":"National Institute of Standards and Technology","ror":"https://ror.org/05xpvk416","country_code":"US","type":"funder","lineage":["https://openalex.org/I1321296531","https://openalex.org/I1343035065"]},{"id":"https://openalex.org/I4210124755","display_name":"National Institute of Standards","ror":"https://ror.org/02zftm050","country_code":"EG","type":"facility","lineage":["https://openalex.org/I4210124755"]}],"countries":["EG","US"],"is_corresponding":false,"raw_author_name":"Afzal Godil","raw_affiliation_strings":["National Institute of Standards and Technology","National Institute of Standards and Technology,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Standards and Technology","institution_ids":["https://openalex.org/I4210124755","https://openalex.org/I1321296531"]},{"raw_affiliation_string":"National Institute of Standards and Technology,","institution_ids":["https://openalex.org/I4210124755","https://openalex.org/I1321296531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101992957","display_name":"Xiaolan Li","orcid":"https://orcid.org/0000-0002-9558-7443"},"institutions":[{"id":"https://openalex.org/I1321296531","display_name":"National Institute of Standards and Technology","ror":"https://ror.org/05xpvk416","country_code":"US","type":"funder","lineage":["https://openalex.org/I1321296531","https://openalex.org/I1343035065"]},{"id":"https://openalex.org/I75059550","display_name":"Zhejiang Gongshang University","ror":"https://ror.org/0569mkk41","country_code":"CN","type":"education","lineage":["https://openalex.org/I75059550"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Xiaolan Li","raw_affiliation_strings":["National Institute of Standards and Technology and Zhejiang Gongshang University","National Institute of Standards and Technology and Zhejiang Gongshang University#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Standards and Technology and Zhejiang Gongshang University","institution_ids":["https://openalex.org/I75059550","https://openalex.org/I1321296531"]},{"raw_affiliation_string":"National Institute of Standards and Technology and Zhejiang Gongshang University#TAB#","institution_ids":["https://openalex.org/I1321296531"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":28.8626,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.9909049,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"278","last_page":"282"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9994000196456909,"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":0.9994000196456909,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9988999962806702,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9986000061035156,"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/ground-truth","display_name":"Ground truth","score":0.7457925081253052},{"id":"https://openalex.org/keywords/hough-transform","display_name":"Hough transform","score":0.7317570447921753},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7269739508628845},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6367403268814087},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5887526869773865},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.5321625471115112},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5114599466323853},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4889165461063385},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.48878785967826843},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.44725045561790466},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.43107542395591736},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43070754408836365},{"id":"https://openalex.org/keywords/depth-map","display_name":"Depth map","score":0.41409480571746826},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2605738937854767},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.18822196125984192},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.14188826084136963},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.13314542174339294}],"concepts":[{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.7457925081253052},{"id":"https://openalex.org/C200518788","wikidata":"https://www.wikidata.org/wiki/Q195076","display_name":"Hough transform","level":3,"score":0.7317570447921753},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7269739508628845},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6367403268814087},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5887526869773865},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5321625471115112},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5114599466323853},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4889165461063385},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.48878785967826843},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.44725045561790466},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.43107542395591736},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43070754408836365},{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.41409480571746826},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2605738937854767},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.18822196125984192},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.14188826084136963},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.13314542174339294},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1774674.1774718","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1774674.1774718","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th Workshop on Performance Metrics for Intelligent Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-01507205v1","is_oa":false,"landing_page_url":"https://hal.science/hal-01507205","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"8th Workshop on Performance Metrics for Intelligent Systems (PerMIS08), Aug 2008, Gaithersburg, United States. pp.278-282, ⟨10.1145/1774674.1774718⟩","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4300000071525574,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W22745672","https://openalex.org/W26772505","https://openalex.org/W1527289589","https://openalex.org/W1532019955","https://openalex.org/W1533162639","https://openalex.org/W1562506072","https://openalex.org/W1780634777","https://openalex.org/W1964215855","https://openalex.org/W1980219648","https://openalex.org/W1995376165","https://openalex.org/W2069295011","https://openalex.org/W2103232506","https://openalex.org/W2111308925","https://openalex.org/W2125237557","https://openalex.org/W2151103935","https://openalex.org/W2153777140","https://openalex.org/W2158564760","https://openalex.org/W2159269332","https://openalex.org/W2168078737","https://openalex.org/W6633649814","https://openalex.org/W6675428349","https://openalex.org/W6676770471","https://openalex.org/W6683367889"],"related_works":["https://openalex.org/W2030098947","https://openalex.org/W1974777989","https://openalex.org/W2363834444","https://openalex.org/W2003466055","https://openalex.org/W2070077862","https://openalex.org/W2765199790","https://openalex.org/W2164944168","https://openalex.org/W2326760703","https://openalex.org/W262984167","https://openalex.org/W3202440119"],"abstract_inverted_index":{"The":[0,14,100],"maps":[1],"generated":[2,59],"by":[3,60],"robots":[4],"in":[5,63,117,127],"real":[6],"environment":[7],"are":[8,76,125,133],"usually":[9],"incomplete,":[10],"distorted,":[11],"and":[12,41,95,140],"noisy.":[13],"map":[15,58,94,104],"quality":[16,30,55,101],"is":[17,90,105],"a":[18,23,66],"quantitative":[19],"performance":[20],"measure":[21],"of":[22,26,37,56,65,85,102,111,129],"robot's":[24],"understanding":[25],"its":[27],"environment.":[28],"Map":[29],"also":[31],"helps":[32],"researcher":[33],"study":[34],"the":[35,54,57,61,79,93,96,103,109,112,115,118,134],"effects":[36],"different":[38],"mapping":[39],"algorithms":[40],"hardware":[42],"components":[43],"used.":[44],"In":[45],"this":[46],"paper":[47],"we":[48],"present":[49],"an":[50],"algorithm":[51],"to":[52,108],"assess":[53],"robot":[62],"terms":[64,128],"ground":[67,97,119],"truth":[68,98,120],"map.":[69,81,99,121],"To":[70],"do":[71],"that,":[72],"First,":[73],"localized":[74],"features":[75,113],"calculated":[77],"on":[78],"pre-evaluated":[80],"Second,":[82],"nearest":[83],"neighbor":[84],"each":[86],"valid":[87],"local":[88],"feature":[89,123],"searched":[91],"between":[92],"defined":[106],"according":[107],"number":[110],"having":[114],"correspondence":[116],"Three":[122],"detectors":[124],"tested":[126],"their":[130],"effectiveness,":[131],"these":[132],"Harris":[135],"corner":[136],"detector,":[137],"Hough":[138],"Transform":[139],"Scale":[141],"Invariant":[142],"Feature":[143],"Transform.":[144]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":3}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}