{"id":"https://openalex.org/W2148544224","doi":"https://doi.org/10.1109/iros.2011.6094856","title":"Knowing your limits - self-evaluation and prediction in object recognition","display_name":"Knowing your limits - self-evaluation and prediction in object recognition","publication_year":2011,"publication_date":"2011-09-01","ids":{"openalex":"https://openalex.org/W2148544224","doi":"https://doi.org/10.1109/iros.2011.6094856","mag":"2148544224"},"language":"en","primary_location":{"id":"doi:10.1109/iros.2011.6094856","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2011.6094856","pdf_url":null,"source":{"id":"https://openalex.org/S4363608614","display_name":"2011 IEEE/RSJ International Conference on Intelligent Robots and Systems","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE/RSJ International Conference on Intelligent Robots and Systems","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/A5033133747","display_name":"Michael Zillich","orcid":null},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":true,"raw_author_name":"Michael Zillich","raw_affiliation_strings":["Automation and Control Institute, Vienna University of Technology, Austria"],"affiliations":[{"raw_affiliation_string":"Automation and Control Institute, Vienna University of Technology, Austria","institution_ids":["https://openalex.org/I145847075"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049409847","display_name":"Johann Prankl","orcid":null},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Johann Prankl","raw_affiliation_strings":["Automation and Control Institute, Vienna University of Technology, Austria"],"affiliations":[{"raw_affiliation_string":"Automation and Control Institute, Vienna University of Technology, Austria","institution_ids":["https://openalex.org/I145847075"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017066812","display_name":"Thomas M\u00f6rwald","orcid":"https://orcid.org/0000-0001-6698-0222"},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Thomas Morwald","raw_affiliation_strings":["Automation and Control Institute, Vienna University of Technology, Austria"],"affiliations":[{"raw_affiliation_string":"Automation and Control Institute, Vienna University of Technology, Austria","institution_ids":["https://openalex.org/I145847075"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013565399","display_name":"Markus Vincze","orcid":"https://orcid.org/0000-0002-2799-491X"},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Markus Vincze","raw_affiliation_strings":["Automation and Control Institute, Vienna University of Technology, Austria"],"affiliations":[{"raw_affiliation_string":"Automation and Control Institute, Vienna University of Technology, Austria","institution_ids":["https://openalex.org/I145847075"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5033133747"],"corresponding_institution_ids":["https://openalex.org/I145847075"],"apc_list":null,"apc_paid":null,"fwci":3.6746,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.93853821,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"3953","issue":null,"first_page":"813","last_page":"820"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998999834060669,"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/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/T10036","display_name":"Advanced Neural Network Applications","score":0.9973999857902527,"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/computer-science","display_name":"Computer science","score":0.7878367900848389},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.734552264213562},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6703195571899414},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.662431001663208},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.641853928565979},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.5963814854621887},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5537682771682739},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.54474937915802},{"id":"https://openalex.org/keywords/learning-object","display_name":"Learning object","score":0.5400306582450867},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4629693031311035},{"id":"https://openalex.org/keywords/completeness","display_name":"Completeness (order theory)","score":0.45455941557884216},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.42932260036468506},{"id":"https://openalex.org/keywords/incremental-learning","display_name":"Incremental learning","score":0.4277825653553009},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.2593129873275757}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7878367900848389},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.734552264213562},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6703195571899414},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.662431001663208},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.641853928565979},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5963814854621887},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5537682771682739},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.54474937915802},{"id":"https://openalex.org/C2779542340","wikidata":"https://www.wikidata.org/wiki/Q1062461","display_name":"Learning object","level":2,"score":0.5400306582450867},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4629693031311035},{"id":"https://openalex.org/C17231256","wikidata":"https://www.wikidata.org/wiki/Q5156540","display_name":"Completeness (order theory)","level":2,"score":0.45455941557884216},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.42932260036468506},{"id":"https://openalex.org/C2780735816","wikidata":"https://www.wikidata.org/wiki/Q28324931","display_name":"Incremental learning","level":2,"score":0.4277825653553009},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2593129873275757},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iros.2011.6094856","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2011.6094856","pdf_url":null,"source":{"id":"https://openalex.org/S4363608614","display_name":"2011 IEEE/RSJ International Conference on Intelligent Robots and Systems","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE/RSJ International Conference on Intelligent Robots and Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W145168206","https://openalex.org/W1605445186","https://openalex.org/W1627400044","https://openalex.org/W1939232937","https://openalex.org/W1993251515","https://openalex.org/W1995444699","https://openalex.org/W1997513865","https://openalex.org/W1997846515","https://openalex.org/W2005219154","https://openalex.org/W2046606421","https://openalex.org/W2052916917","https://openalex.org/W2059412355","https://openalex.org/W2063849031","https://openalex.org/W2067191022","https://openalex.org/W2085078372","https://openalex.org/W2085261163","https://openalex.org/W2101886560","https://openalex.org/W2108940975","https://openalex.org/W2119605622","https://openalex.org/W2128017662","https://openalex.org/W2133192850","https://openalex.org/W2141362318","https://openalex.org/W2146447720","https://openalex.org/W2149259880","https://openalex.org/W2151103935","https://openalex.org/W2160159038","https://openalex.org/W2161112350","https://openalex.org/W2162568396","https://openalex.org/W2162866804","https://openalex.org/W2427881153","https://openalex.org/W2908931433","https://openalex.org/W3147072871","https://openalex.org/W6605853179","https://openalex.org/W6636343245","https://openalex.org/W6636759986","https://openalex.org/W6640404424","https://openalex.org/W6683955532","https://openalex.org/W6757938239","https://openalex.org/W6903333040"],"related_works":["https://openalex.org/W4237277701","https://openalex.org/W2121424666","https://openalex.org/W1587028174","https://openalex.org/W4301250310","https://openalex.org/W2030928163","https://openalex.org/W2067700950","https://openalex.org/W1669998927","https://openalex.org/W2182768446","https://openalex.org/W1502661168","https://openalex.org/W2905268556"],"abstract_inverted_index":{"Allowing":[0],"a":[1,63],"robot":[2,57],"to":[3,58,61,66,72,77,99],"acquire":[4],"3D":[5],"object":[6,69,86],"models":[7],"autonomously":[8],"not":[9],"only":[10],"requires":[11],"robust":[12],"feature":[13],"detection":[14,37,40,87],"and":[15,24,42,52],"learning":[16,23,26,49],"methods":[17],"but":[18],"also":[19],"mechanisms":[20],"for":[21,35],"guiding":[22],"assessing":[25],"progress.":[27],"In":[28],"this":[29],"paper":[30],"we":[31],"present":[32],"probabilistic":[33],"measures":[34],"observed":[36],"success,":[38],"predicted":[39],"success":[41],"the":[43,56,79,82,89],"completeness":[44],"of":[45,84],"learned":[46],"models,":[47],"where":[48,71],"is":[50],"incremental":[51],"online.":[53],"This":[54],"allows":[55],"decide":[59],"when":[60,98],"add":[62],"new":[64],"keyframe":[65],"its":[67],"view-based":[68],"model,":[70,80],"look":[73],"next":[74],"in":[75],"order":[76],"complete":[78],"predicting":[81],"probability":[83],"successful":[85],"given":[88],"model":[90],"trained":[91],"so":[92],"far":[93],"as":[94,96],"well":[95],"knowing":[97],"stop":[100],"learning.":[101]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":8}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}