{"id":"https://openalex.org/W2890393274","doi":"https://doi.org/10.1109/icra.2018.8460988","title":"LOGOS: Local Geometric Support for High-Outlier Spatial Verification","display_name":"LOGOS: Local Geometric Support for High-Outlier Spatial Verification","publication_year":2018,"publication_date":"2018-05-01","ids":{"openalex":"https://openalex.org/W2890393274","doi":"https://doi.org/10.1109/icra.2018.8460988","mag":"2890393274"},"language":"en","primary_location":{"id":"doi:10.1109/icra.2018.8460988","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra.2018.8460988","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Robotics and Automation (ICRA)","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/A5059929676","display_name":"Stephanie Lowry","orcid":"https://orcid.org/0000-0003-3788-499X"},"institutions":[{"id":"https://openalex.org/I26437253","display_name":"\u00d6rebro University","ror":"https://ror.org/05kytsw45","country_code":"SE","type":"education","lineage":["https://openalex.org/I26437253"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Stephanie Lowry","raw_affiliation_strings":["Orebro Universitet, Orebro, SE"],"affiliations":[{"raw_affiliation_string":"Orebro Universitet, Orebro, SE","institution_ids":["https://openalex.org/I26437253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024851825","display_name":"Henrik Andreasson","orcid":"https://orcid.org/0000-0002-2953-1564"},"institutions":[{"id":"https://openalex.org/I26437253","display_name":"\u00d6rebro University","ror":"https://ror.org/05kytsw45","country_code":"SE","type":"education","lineage":["https://openalex.org/I26437253"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Henrik Andreasson","raw_affiliation_strings":["Centre for Applied Autonomous Sensor Systems (AASS), Orebro University, Orebro, Sweden"],"affiliations":[{"raw_affiliation_string":"Centre for Applied Autonomous Sensor Systems (AASS), Orebro University, Orebro, Sweden","institution_ids":["https://openalex.org/I26437253"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5059929676"],"corresponding_institution_ids":["https://openalex.org/I26437253"],"apc_list":null,"apc_paid":null,"fwci":2.6615,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.90294568,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"7262","last_page":"7269"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9983000159263611,"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":0.9950000047683716,"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/ransac","display_name":"RANSAC","score":0.9467097520828247},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.8801238536834717},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.8120691776275635},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6791656017303467},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6668201684951782},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5702027678489685},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5556191205978394},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5427212715148926},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.43188929557800293},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.4122493863105774},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.30714428424835205},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26799988746643066},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.16584521532058716},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.12327456474304199}],"concepts":[{"id":"https://openalex.org/C114744707","wikidata":"https://www.wikidata.org/wiki/Q218533","display_name":"RANSAC","level":3,"score":0.9467097520828247},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.8801238536834717},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.8120691776275635},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6791656017303467},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6668201684951782},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5702027678489685},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5556191205978394},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5427212715148926},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.43188929557800293},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.4122493863105774},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.30714428424835205},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26799988746643066},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.16584521532058716},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.12327456474304199},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icra.2018.8460988","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra.2018.8460988","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.800000011920929}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W194005232","https://openalex.org/W1530704295","https://openalex.org/W1896794744","https://openalex.org/W1974093076","https://openalex.org/W2012592962","https://openalex.org/W2033819227","https://openalex.org/W2046434485","https://openalex.org/W2058220625","https://openalex.org/W2085261163","https://openalex.org/W2088866137","https://openalex.org/W2106199912","https://openalex.org/W2109197213","https://openalex.org/W2119605622","https://openalex.org/W2130017587","https://openalex.org/W2141362318","https://openalex.org/W2141584146","https://openalex.org/W2144824356","https://openalex.org/W2150066425","https://openalex.org/W2151103935","https://openalex.org/W2218842719","https://openalex.org/W6639685146","https://openalex.org/W6675860037"],"related_works":["https://openalex.org/W2131378265","https://openalex.org/W2984240274","https://openalex.org/W2981196697","https://openalex.org/W3012182724","https://openalex.org/W2115876589","https://openalex.org/W1988708904","https://openalex.org/W2091196744","https://openalex.org/W2769402452","https://openalex.org/W2091258128","https://openalex.org/W1983540692"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"LOGOS,":[3],"a":[4,19,61,71],"method":[5,72],"of":[6,18,22,33,63,73],"spatial":[7],"verification":[8,53,78],"for":[9,50],"visual":[10],"localization":[11,52,65,77],"that":[12,81],"is":[13,58],"robust":[14],"in":[15,79],"the":[16],"presence":[17],"high":[20],"proportion":[21],"outliers.":[23,86],"LOGOS":[24,57],"uses":[25],"scale":[26],"and":[27,54,67,76],"orientation":[28],"information":[29],"from":[30],"local":[31],"neighbourhoods":[32],"features":[34],"to":[35,41,84],"determine":[36],"which":[37],"points":[38,46],"are":[39],"likely":[40],"be":[42,48],"inliers.":[43],"The":[44],"inlier":[45],"can":[47],"used":[49],"secondary":[51],"pose":[55],"estimation.":[56],"demonstrated":[59],"on":[60],"number":[62],"benchmark":[64],"datasets":[66],"outperforms":[68],"RANSAC":[69],"as":[70],"outlier":[74],"removal":[75],"scenarios":[80],"require":[82],"robustness":[83],"many":[85]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
