{"id":"https://openalex.org/W2144150342","doi":"https://doi.org/10.1109/iros.2007.4399089","title":"Real-time robot vision for collision avoidance inspired by neuronal circuits of insects","display_name":"Real-time robot vision for collision avoidance inspired by neuronal circuits of insects","publication_year":2007,"publication_date":"2007-10-01","ids":{"openalex":"https://openalex.org/W2144150342","doi":"https://doi.org/10.1109/iros.2007.4399089","mag":"2144150342"},"language":"en","primary_location":{"id":"doi:10.1109/iros.2007.4399089","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2007.4399089","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE/RSJ International Conference on Intelligent Robots and Systems","raw_type":"proceedings-article"},"type":"conference-paper","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/A5103440526","display_name":"Hirotsugu Okuno","orcid":null},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hirotsugu Okuno","raw_affiliation_strings":["Division of Electrical Electronic and Information Engineering, Osaka University, Osaka, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Electrical Electronic and Information Engineering, Osaka University, Osaka, Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001024350","display_name":"Tetsuya Yagi","orcid":"https://orcid.org/0000-0003-0655-1615"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tetsuya Yagi","raw_affiliation_strings":["Division of Electrical Electronic and Information Engineering, Osaka University, Osaka, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Electrical Electronic and Information Engineering, Osaka University, Osaka, Japan","institution_ids":["https://openalex.org/I98285908"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I98285908"],"apc_list":null,"apc_paid":null,"fwci":4.0077,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.93487699,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1302","last_page":"1307"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10423","display_name":"Neurobiology and Insect Physiology Research","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/2804","display_name":"Cellular and Molecular Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10423","display_name":"Neurobiology and Insect Physiology Research","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/2804","display_name":"Cellular and Molecular Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9886000156402588,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T11601","display_name":"Neuroscience and Neural Engineering","score":0.9854999780654907,"subfield":{"id":"https://openalex.org/subfields/2804","display_name":"Cellular and Molecular Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/collision-avoidance","display_name":"Collision avoidance","score":0.7987076640129089},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6524959802627563},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.6426600217819214},{"id":"https://openalex.org/keywords/resistive-touchscreen","display_name":"Resistive touchscreen","score":0.6374388337135315},{"id":"https://openalex.org/keywords/electronic-circuit","display_name":"Electronic circuit","score":0.6368697881698608},{"id":"https://openalex.org/keywords/locust","display_name":"Locust","score":0.6262025237083435},{"id":"https://openalex.org/keywords/collision","display_name":"Collision","score":0.6252707242965698},{"id":"https://openalex.org/keywords/collision-avoidance-system","display_name":"Collision avoidance system","score":0.6166831254959106},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.5880477428436279},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5010504722595215},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4892387390136719},{"id":"https://openalex.org/keywords/machine-vision","display_name":"Machine vision","score":0.46043840050697327},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.38772428035736084},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2226961851119995},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.13717639446258545}],"concepts":[{"id":"https://openalex.org/C2780864053","wikidata":"https://www.wikidata.org/wiki/Q5147495","display_name":"Collision avoidance","level":3,"score":0.7987076640129089},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6524959802627563},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.6426600217819214},{"id":"https://openalex.org/C6899612","wikidata":"https://www.wikidata.org/wiki/Q852911","display_name":"Resistive touchscreen","level":2,"score":0.6374388337135315},{"id":"https://openalex.org/C134146338","wikidata":"https://www.wikidata.org/wiki/Q1815901","display_name":"Electronic circuit","level":2,"score":0.6368697881698608},{"id":"https://openalex.org/C2776041477","wikidata":"https://www.wikidata.org/wiki/Q83931","display_name":"Locust","level":2,"score":0.6262025237083435},{"id":"https://openalex.org/C121704057","wikidata":"https://www.wikidata.org/wiki/Q352070","display_name":"Collision","level":2,"score":0.6252707242965698},{"id":"https://openalex.org/C2777016798","wikidata":"https://www.wikidata.org/wiki/Q2001988","display_name":"Collision avoidance system","level":4,"score":0.6166831254959106},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5880477428436279},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5010504722595215},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4892387390136719},{"id":"https://openalex.org/C5339829","wikidata":"https://www.wikidata.org/wiki/Q1425977","display_name":"Machine vision","level":2,"score":0.46043840050697327},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.38772428035736084},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2226961851119995},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.13717639446258545},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iros.2007.4399089","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2007.4399089","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE/RSJ International Conference on Intelligent Robots and Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.4399999976158142,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1971361984","https://openalex.org/W1975147998","https://openalex.org/W1983157185","https://openalex.org/W1995895285","https://openalex.org/W2019863617","https://openalex.org/W2022095435","https://openalex.org/W2042172280","https://openalex.org/W2049989540","https://openalex.org/W2050303485","https://openalex.org/W2055774459","https://openalex.org/W2060256604","https://openalex.org/W2073204065","https://openalex.org/W2073928605","https://openalex.org/W2120711457","https://openalex.org/W2139452897","https://openalex.org/W2147638111","https://openalex.org/W2260623397","https://openalex.org/W2280498916","https://openalex.org/W2332578720"],"related_works":["https://openalex.org/W2390040493","https://openalex.org/W4253267946","https://openalex.org/W2983014903","https://openalex.org/W2945385675","https://openalex.org/W1767544057","https://openalex.org/W2153778739","https://openalex.org/W2885713887","https://openalex.org/W2377539543","https://openalex.org/W196290454","https://openalex.org/W2093298662"],"abstract_inverted_index":{"A":[0],"real-time":[1],"vision":[2],"sensor":[3,20],"for":[4],"collision":[5,17,37],"avoidance":[6],"was":[7,91,106],"designed.":[8],"To":[9],"respond":[10,109],"selectively":[11,110],"to":[12,108,111],"approaching":[13],"objects":[14,113],"on":[15,100],"direct":[16],"course,":[18],"the":[19,26,45,48,79,89],"employs":[21],"an":[22,65],"algorithm":[23],"inspired":[24],"by":[25,39,83,97],"visual":[27,41],"nervous":[28,50],"system":[29,51,56,80,90,105],"in":[30,94,115],"a":[31,36,53,101],"locust,":[32],"which":[33,57],"can":[34],"avoid":[35],"robustly":[38],"using":[40,84],"information.":[42],"We":[43],"implemented":[44],"architecture":[46],"of":[47,64,78],"locust":[49],"with":[52],"compact":[54],"hardware":[55],"contains":[58],"mixed":[59],"analogdigital":[60],"integrated":[61],"circuits":[62],"consisting":[63],"analog":[66],"resistive":[67],"network":[68],"and":[69,88],"field-programmable":[70],"gate":[71],"array":[72],"(FPGA)":[73],"circuits.":[74],"The":[75,104],"response":[76],"properties":[77],"were":[81],"examined":[82],"simulated":[85],"movie":[86],"images,":[87],"tested":[92],"also":[93],"realworld":[95],"situations":[96],"loading":[98],"it":[99],"motorized":[102],"car.":[103],"confirmed":[107],"colliding":[112],"even":[114],"complicated":[116],"real-world":[117],"situations.":[118]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}