{"id":"https://openalex.org/W4200377417","doi":"https://doi.org/10.1109/ivcnz54163.2021.9653391","title":"Evaluating Visual Inertial Odometry Using the Windy Forest Dataset","display_name":"Evaluating Visual Inertial Odometry Using the Windy Forest Dataset","publication_year":2021,"publication_date":"2021-12-09","ids":{"openalex":"https://openalex.org/W4200377417","doi":"https://doi.org/10.1109/ivcnz54163.2021.9653391"},"language":"en","primary_location":{"id":"doi:10.1109/ivcnz54163.2021.9653391","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivcnz54163.2021.9653391","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 36th 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/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":true,"raw_author_name":"Sam Schofield","raw_affiliation_strings":["University of Canterbury, Christchurch, New Zealand"],"affiliations":[{"raw_affiliation_string":"University of Canterbury, Christchurch, New Zealand","institution_ids":["https://openalex.org/I185492890"]}]},{"author_position":"middle","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, Christchurch, New Zealand"],"affiliations":[{"raw_affiliation_string":"University of Canterbury, Christchurch, New Zealand","institution_ids":["https://openalex.org/I185492890"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100730175","display_name":"Richard Green","orcid":"https://orcid.org/0000-0002-8671-8966"},"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, Christchurch, New Zealand"],"affiliations":[{"raw_affiliation_string":"University of Canterbury, Christchurch, New Zealand","institution_ids":["https://openalex.org/I185492890"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5084126836"],"corresponding_institution_ids":["https://openalex.org/I185492890"],"apc_list":null,"apc_paid":null,"fwci":2.0706,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.92956212,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"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":0.9998999834060669,"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":0.9998999834060669,"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":0.9994999766349792,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/odometry","display_name":"Odometry","score":0.8413079977035522},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7740013599395752},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7350917458534241},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7154119610786438},{"id":"https://openalex.org/keywords/visual-odometry","display_name":"Visual odometry","score":0.6562861800193787},{"id":"https://openalex.org/keywords/inertial-measurement-unit","display_name":"Inertial measurement unit","score":0.6027749180793762},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.5176416039466858},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5065888166427612},{"id":"https://openalex.org/keywords/inertial-frame-of-reference","display_name":"Inertial frame of reference","score":0.44297346472740173},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.13360664248466492},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.09667649865150452}],"concepts":[{"id":"https://openalex.org/C49441653","wikidata":"https://www.wikidata.org/wiki/Q2014717","display_name":"Odometry","level":4,"score":0.8413079977035522},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7740013599395752},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7350917458534241},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7154119610786438},{"id":"https://openalex.org/C5799516","wikidata":"https://www.wikidata.org/wiki/Q4110915","display_name":"Visual odometry","level":3,"score":0.6562861800193787},{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.6027749180793762},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.5176416039466858},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5065888166427612},{"id":"https://openalex.org/C173386949","wikidata":"https://www.wikidata.org/wiki/Q192735","display_name":"Inertial frame of reference","level":2,"score":0.44297346472740173},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.13360664248466492},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.09667649865150452},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ivcnz54163.2021.9653391","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivcnz54163.2021.9653391","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 36th International Conference on Image and Vision Computing New Zealand (IVCNZ)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4000000059604645,"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W2021851106","https://openalex.org/W2150066425","https://openalex.org/W2396274919","https://openalex.org/W2529254295","https://openalex.org/W2604579016","https://openalex.org/W2738820790","https://openalex.org/W2745859992","https://openalex.org/W2754274770","https://openalex.org/W2797395780","https://openalex.org/W2810209840","https://openalex.org/W2883923125","https://openalex.org/W2884608476","https://openalex.org/W2889321156","https://openalex.org/W2891591747","https://openalex.org/W2907166966","https://openalex.org/W2909157769","https://openalex.org/W2951730755","https://openalex.org/W2962987986","https://openalex.org/W2968243907","https://openalex.org/W2997495511","https://openalex.org/W3013130767","https://openalex.org/W3034728969","https://openalex.org/W3047278850","https://openalex.org/W3090386798","https://openalex.org/W3091667825","https://openalex.org/W3091727808","https://openalex.org/W3098250009","https://openalex.org/W3098486636","https://openalex.org/W3106422541","https://openalex.org/W3132270109","https://openalex.org/W4289438507","https://openalex.org/W4311436942","https://openalex.org/W6755297759","https://openalex.org/W6768533785","https://openalex.org/W6773019456","https://openalex.org/W6811117529"],"related_works":["https://openalex.org/W2979950214","https://openalex.org/W87609089","https://openalex.org/W3024737167","https://openalex.org/W2414561716","https://openalex.org/W2998370018","https://openalex.org/W3161199934","https://openalex.org/W2303855011","https://openalex.org/W3125052734","https://openalex.org/W3123982513","https://openalex.org/W2312326526"],"abstract_inverted_index":{"This":[0],"paper":[1],"examines":[2],"the":[3,43,79,87,104,117],"effect":[4,88],"of":[5,20,31,89,101,113,128,141],"moving":[6,115,129],"vegetation":[7,114,130],"on":[8,92],"visual-inertial-odometry":[9],"performance.":[10],"The":[11,27,54,81,119],"evaluation":[12],"was":[13,56],"performed":[14],"using":[15,58,108],"a":[16,24,59,99,126,139],"custom":[17],"dataset":[18,55,82],"consisting":[19],"fifteen":[21],"sequences":[22,28,110],"in":[23,98,116],"forest":[25],"scene.":[26,80],"are":[29,106],"comprised":[30],"three":[32],"trajectories,":[33],"each":[34],"with":[35],"five":[36],"different":[37],"wind/scene":[38],"motion":[39,47,91,124],"levels":[40],"&#x2014;":[41],"allowing":[42],"relationship":[44],"between":[45],"scene":[46,90,123],"and":[48,67],"state-estimation":[49],"accuracy":[50],"to":[51,70,85,138],"be":[52],"examined.":[53],"created":[57],"\"semi-synthetic\"":[60],"approach":[61],"that":[62,122],"combines":[63],"real":[64],"IMU":[65],"data":[66],"synthetic":[68],"images":[69],"provide":[71],"increased":[72],"realism":[73],"while":[74],"maintaining":[75],"precise":[76],"control":[77],"over":[78],"is":[83],"used":[84],"assess":[86],"multiple":[93],"open-source":[94],"visual-inertial":[95,133],"odometry":[96,134],"algorithms":[97],"variety":[100],"configurations.":[102],"Additionally,":[103],"results":[105,120],"validated":[107],"real-world":[109],"containing":[111],"imagery":[112],"wind.":[118],"show":[121],"as":[125],"result":[127],"can":[131],"worsen":[132],"performance":[135],"by":[136],"up":[137],"factor":[140],"ten.":[142]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}
