{"id":"https://openalex.org/W4389628734","doi":"https://doi.org/10.1109/ivcnz61134.2023.10344299","title":"Automatic Exposure and Pose Estimation Error","display_name":"Automatic Exposure and Pose Estimation Error","publication_year":2023,"publication_date":"2023-11-29","ids":{"openalex":"https://openalex.org/W4389628734","doi":"https://doi.org/10.1109/ivcnz61134.2023.10344299"},"language":"en","primary_location":{"id":"doi:10.1109/ivcnz61134.2023.10344299","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ivcnz61134.2023.10344299","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 38th International Conference on Image and Vision Computing New Zealand (IVCNZ)","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/A5046981173","display_name":"Cheng-Nan Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I185492890","display_name":"University of Canterbury","ror":"https://ror.org/03y7q9t39","country_code":"NZ","type":"education","lineage":["https://openalex.org/I185492890"]}],"countries":["NZ"],"is_corresponding":true,"raw_author_name":"Cheng-Nan Lee","raw_affiliation_strings":["University of Canterbury,Computer Science and Software Engineering,Christchurch,New Zealand","Computer Science and Software Engineering, University of Canterbury, Christchurch, New Zealand"],"affiliations":[{"raw_affiliation_string":"University of Canterbury,Computer Science and Software Engineering,Christchurch,New Zealand","institution_ids":["https://openalex.org/I185492890"]},{"raw_affiliation_string":"Computer Science and Software Engineering, University of Canterbury, Christchurch, New Zealand","institution_ids":["https://openalex.org/I185492890"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084126836","display_name":"Sam Schofield","orcid":"https://orcid.org/0000-0002-0982-4239"},"institutions":[{"id":"https://openalex.org/I185492890","display_name":"University of Canterbury","ror":"https://ror.org/03y7q9t39","country_code":"NZ","type":"education","lineage":["https://openalex.org/I185492890"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Sam Schofield","raw_affiliation_strings":["University of Canterbury,Computer Science and Software Engineering,Christchurch,New Zealand","Computer Science and Software Engineering, University of Canterbury, Christchurch, New Zealand"],"affiliations":[{"raw_affiliation_string":"University of Canterbury,Computer Science and Software Engineering,Christchurch,New Zealand","institution_ids":["https://openalex.org/I185492890"]},{"raw_affiliation_string":"Computer Science and Software Engineering, University of Canterbury, Christchurch, New Zealand","institution_ids":["https://openalex.org/I185492890"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100730174","display_name":"Richard Green","orcid":"https://orcid.org/0000-0002-6810-7758"},"institutions":[{"id":"https://openalex.org/I185492890","display_name":"University of Canterbury","ror":"https://ror.org/03y7q9t39","country_code":"NZ","type":"education","lineage":["https://openalex.org/I185492890"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Richard Green","raw_affiliation_strings":["University of Canterbury,Computer Science and Software Engineering,Christchurch,New Zealand","Computer Science and Software Engineering, University of Canterbury, Christchurch, New Zealand"],"affiliations":[{"raw_affiliation_string":"University of Canterbury,Computer Science and Software Engineering,Christchurch,New Zealand","institution_ids":["https://openalex.org/I185492890"]},{"raw_affiliation_string":"Computer Science and Software Engineering, University of Canterbury, Christchurch, New Zealand","institution_ids":["https://openalex.org/I185492890"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036525304","display_name":"Andrew Bainbridge-Smith","orcid":"https://orcid.org/0000-0002-5680-1478"},"institutions":[{"id":"https://openalex.org/I185492890","display_name":"University of Canterbury","ror":"https://ror.org/03y7q9t39","country_code":"NZ","type":"education","lineage":["https://openalex.org/I185492890"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Andrew Bainbridge-Smith","raw_affiliation_strings":["University of Canterbury,Computer Science and Software Engineering,Christchurch,New Zealand","Computer Science and Software Engineering, University of Canterbury, Christchurch, New Zealand"],"affiliations":[{"raw_affiliation_string":"University of Canterbury,Computer Science and Software Engineering,Christchurch,New Zealand","institution_ids":["https://openalex.org/I185492890"]},{"raw_affiliation_string":"Computer Science and Software Engineering, University of Canterbury, Christchurch, New Zealand","institution_ids":["https://openalex.org/I185492890"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5046981173"],"corresponding_institution_ids":["https://openalex.org/I185492890"],"apc_list":null,"apc_paid":null,"fwci":0.7555,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.84998491,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9997000098228455,"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":0.9997000098228455,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9991000294685364,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/computer-science","display_name":"Computer science","score":0.6643102169036865},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.5529532432556152},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4791695177555084},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.45391494035720825},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3205300569534302},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10866105556488037}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6643102169036865},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.5529532432556152},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4791695177555084},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.45391494035720825},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3205300569534302},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10866105556488037},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ivcnz61134.2023.10344299","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ivcnz61134.2023.10344299","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 38th International Conference on Image and Vision Computing New Zealand (IVCNZ)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1532362218","https://openalex.org/W1978989063","https://openalex.org/W2019561747","https://openalex.org/W2045336852","https://openalex.org/W2069281566","https://openalex.org/W2118041153","https://openalex.org/W2151103935","https://openalex.org/W2171074980","https://openalex.org/W2618066342","https://openalex.org/W2747830384","https://openalex.org/W2889607906","https://openalex.org/W2994004469","https://openalex.org/W3003858288","https://openalex.org/W3026527363","https://openalex.org/W3033833010","https://openalex.org/W3043971245","https://openalex.org/W3128639218","https://openalex.org/W3132708911","https://openalex.org/W4207059305","https://openalex.org/W6681170452","https://openalex.org/W6742590615"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2772917594","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","https://openalex.org/W2775347418"],"abstract_inverted_index":{"Visual":[0],"odometry":[1,41,88,194],"estimates":[2],"a":[3,67,126,166],"robot\u2019s":[4],"pose":[5,109],"by":[6],"analysing":[7],"images":[8],"it":[9,102],"captured":[10,130],"and":[11,86,129,144],"is":[12,90,112],"integral":[13],"to":[14,35,65,104,184],"autonomous":[15],"navigation.":[16],"However,":[17,78],"when":[18],"devices":[19],"operate":[20],"outdoors,":[21],"the":[22,50,82,94,107,113,117,146,150,160,177],"large":[23],"changes":[24],"in":[25,44,55,125],"brightness":[26],"may":[27],"cause":[28],"localisation":[29],"failure.":[30],"This":[31],"shortcoming":[32],"motivates":[33],"us":[34],"find":[36,185],"methods":[37],"that":[38,71,157,176,190],"ensure":[39],"visual":[40,87,193],"can":[42],"function":[43],"high":[45,56],"dynamic":[46,57],"range":[47,58],"environments.To":[48],"mitigate":[49],"negative":[51],"impact":[52],"of":[53,93,115,159],"operating":[54],"environments,":[59],"researchers":[60],"proposed":[61,95],"automatic":[62,179],"exposure":[63,69,135,180],"algorithms":[64,96,181],"select":[66],"camera":[68],"time":[70],"maximises":[72],"their":[73],"selected":[74,83,161],"image":[75,84,123,151,162,187],"quality":[76,152,163,188],"metric.":[77],"direct":[79],"comparisons":[80],"between":[81],"metric":[85,189,203],"performance":[89],"scarce.":[91],"Many":[92],"go":[97],"through":[98],"multiple":[99],"steps,":[100],"making":[101],"difficult":[103],"determine":[105],"whether":[106],"improved":[108],"estimation":[110],"accuracy":[111],"result":[114],"optimising":[116],"metric.In":[118],"this":[119],"submission,":[120],"we":[121],"generated":[122],"sequences":[124],"simulation":[127],"environment":[128],"real-world":[131],"photos":[132],"at":[133],"different":[134],"levels.":[136],"We":[137],"estimate":[138],"trajectories":[139],"for":[140],"each":[141],"data":[142],"set":[143],"compare":[145],"resulting":[147],"errors":[148],"with":[149,169],"metrics.":[153],"Our":[154],"tests":[155],"showed":[156],"none":[158],"metrics":[164,201],"had":[165],"strong":[167],"correlation":[168],"absolute":[170],"translation":[171],"error.":[172],"The":[173],"findings":[174],"suggest":[175],"current":[178],"have":[182],"yet":[183],"an":[186],"truly":[191],"impacts":[192],"performance.":[195],"Ongoing":[196],"research":[197],"should":[198],"consider":[199],"alternative":[200],"or":[202],"combinations.":[204]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}