{"id":"https://openalex.org/W2127061207","doi":"https://doi.org/10.1109/ivs.2014.6856605","title":"Understanding how camera configuration and environmental conditions affect appearance-based localization","display_name":"Understanding how camera configuration and environmental conditions affect appearance-based localization","publication_year":2014,"publication_date":"2014-06-01","ids":{"openalex":"https://openalex.org/W2127061207","doi":"https://doi.org/10.1109/ivs.2014.6856605","mag":"2127061207"},"language":"en","primary_location":{"id":"doi:10.1109/ivs.2014.6856605","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2014.6856605","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Intelligent Vehicles Symposium Proceedings","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/A5042299226","display_name":"Aayush Bansal","orcid":"https://orcid.org/0000-0002-0966-3930"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Aayush Bansal","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA, US","[Robot. Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA, US","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"[Robot. Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA]","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077152821","display_name":"Hern\u00e1n Badino","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hernan Badino","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA, US","[Robot. Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA, US","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"[Robot. Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA]","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035303223","display_name":"Daniel Huber","orcid":"https://orcid.org/0000-0001-8832-4488"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Daniel Huber","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA, US","[Robot. Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA, US","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"[Robot. Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA]","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5042299226"],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":32.9999,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.99215796,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"800","last_page":"807"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9975000023841858,"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":0.9975000023841858,"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9966999888420105,"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"}},{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9879999756813049,"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/affect","display_name":"Affect (linguistics)","score":0.6188215613365173},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5429264903068542},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.45149844884872437},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.38714420795440674},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38361650705337524},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.336517333984375},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.11475634574890137},{"id":"https://openalex.org/keywords/communication","display_name":"Communication","score":0.10753169655799866}],"concepts":[{"id":"https://openalex.org/C2776035688","wikidata":"https://www.wikidata.org/wiki/Q1606558","display_name":"Affect (linguistics)","level":2,"score":0.6188215613365173},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5429264903068542},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45149844884872437},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.38714420795440674},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38361650705337524},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.336517333984375},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.11475634574890137},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.10753169655799866}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ivs.2014.6856605","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2014.6856605","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Intelligent Vehicles Symposium Proceedings","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.638.5212","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.638.5212","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.ri.cmu.edu/pub_files/2014/6/bansal_iv14.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320329929","display_name":"Volkswagen Aktiengesellschaft","ror":"https://ror.org/01f3bhg26"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1533496907","https://openalex.org/W1974093076","https://openalex.org/W1977727009","https://openalex.org/W1981962374","https://openalex.org/W1983957688","https://openalex.org/W1992191556","https://openalex.org/W1996079613","https://openalex.org/W2004835121","https://openalex.org/W2005115267","https://openalex.org/W2027686373","https://openalex.org/W2062858132","https://openalex.org/W2109197213","https://openalex.org/W2110405746","https://openalex.org/W2112669647","https://openalex.org/W2115579991","https://openalex.org/W2126302123","https://openalex.org/W2132185185","https://openalex.org/W2134446283","https://openalex.org/W2137204431","https://openalex.org/W2144824356","https://openalex.org/W2145607950","https://openalex.org/W2152671441","https://openalex.org/W2160823029","https://openalex.org/W2163704618","https://openalex.org/W4238681124","https://openalex.org/W6631946989","https://openalex.org/W6683656314"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398","https://openalex.org/W2775347418"],"abstract_inverted_index":{"Localization":[0],"is":[1,21],"a":[2,32,46,79,131],"central":[3],"problem":[4,39],"for":[5,116,119,140,146],"intelligent":[6,81],"vehicles.":[7],"Visual":[8],"localization":[9,15,27,96,133],"can":[10,69],"supplement":[11],"or":[12,23],"replace":[13],"GPS-based":[14],"approaches":[16],"in":[17,31],"situations":[18],"where":[19],"GPS":[20],"unavailable":[22],"inaccurate.":[24],"Although":[25],"visual":[26,95,120,132],"has":[28],"been":[29],"demonstrated":[30],"variety":[33],"of":[34,40,78,101,130],"algorithms":[35],"and":[36,63,76,91,112,135],"systems,":[37],"the":[38,59,74,99,124,136,141],"how":[41,86],"to":[42,107],"best":[43],"configure":[44],"such":[45,55],"system":[47],"remains":[48],"largely":[49],"an":[50],"open":[51],"question.":[52],"Design":[53],"choices,":[54],"as":[56],"\u201cwhere":[57],"should":[58,65],"camera":[60],"be":[61,67],"placed?\u201d":[62],"\u201chow":[64],"it":[66],"oriented?\u201d":[68],"have":[70],"substantial":[71],"effect":[72],"on":[73],"cost":[75],"robustness":[77],"fielded":[80],"vehicle.":[82],"This":[83],"paper":[84],"analyzes":[85],"different":[87],"sensor":[88],"configuration":[89],"parameters":[90],"environmental":[92],"conditions":[93],"affect":[94],"performance":[97],"with":[98],"goal":[100],"understanding":[102],"what":[103],"causes":[104],"certain":[105],"configurations":[106],"perform":[108],"better":[109],"than":[110],"others":[111],"providing":[113],"general":[114],"principles":[115],"configuring":[117],"systems":[118],"localization.":[121],"We":[122],"ground":[123],"investigation":[125],"using":[126],"extensive":[127],"field":[128],"testing":[129],"algorithm,":[134],"data":[137],"sets":[138],"used":[139],"analysis":[142],"are":[143],"made":[144],"available":[145],"comparative":[147],"evaluation.":[148]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1}],"updated_date":"2026-04-29T09:16:38.111599","created_date":"2025-10-10T00:00:00"}
