{"id":"https://openalex.org/W4317514626","doi":"https://doi.org/10.1109/ccis57298.2022.10016381","title":"Diagonal Region Division-Based Fly Neural Network on Omnidrectional Collision Detection","display_name":"Diagonal Region Division-Based Fly Neural Network on Omnidrectional Collision Detection","publication_year":2022,"publication_date":"2022-11-26","ids":{"openalex":"https://openalex.org/W4317514626","doi":"https://doi.org/10.1109/ccis57298.2022.10016381"},"language":"en","primary_location":{"id":"doi:10.1109/ccis57298.2022.10016381","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ccis57298.2022.10016381","pdf_url":null,"source":{"id":"https://openalex.org/S4363608348","display_name":"2022 IEEE 8th International Conference on Cloud Computing and Intelligent Systems (CCIS)","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":"2022 IEEE 8th International Conference on Cloud Computing and Intelligent Systems (CCIS)","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/A5100371843","display_name":"Lun Li","orcid":"https://orcid.org/0000-0002-8896-911X"},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lun Li","raw_affiliation_strings":["Guizhou University,College of Big Data and Information Engineering,Guiyang,China,550025"],"affiliations":[{"raw_affiliation_string":"Guizhou University,College of Big Data and Information Engineering,Guiyang,China,550025","institution_ids":["https://openalex.org/I178232147"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055084263","display_name":"Zhuhong Zhang","orcid":"https://orcid.org/0000-0001-9093-5691"},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuhong Zhang","raw_affiliation_strings":["Guizhou University,College of Big Data and Information Engineering,Guiyang,China,550025"],"affiliations":[{"raw_affiliation_string":"Guizhou University,College of Big Data and Information Engineering,Guiyang,China,550025","institution_ids":["https://openalex.org/I178232147"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063066514","display_name":"Xiyin Wu","orcid":"https://orcid.org/0000-0002-4456-9691"},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiyin Wu","raw_affiliation_strings":["Guizhou University,College of Big Data and Information Engineering,Guiyang,China,550025"],"affiliations":[{"raw_affiliation_string":"Guizhou University,College of Big Data and Information Engineering,Guiyang,China,550025","institution_ids":["https://openalex.org/I178232147"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100371843"],"corresponding_institution_ids":["https://openalex.org/I178232147"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.2847552,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"8","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9886999726295471,"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"}},"topics":[{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9886999726295471,"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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9865999817848206,"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/T10581","display_name":"Neural dynamics and brain function","score":0.9782000184059143,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive 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/artificial-neural-network","display_name":"Artificial neural network","score":0.7313076853752136},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7047402858734131},{"id":"https://openalex.org/keywords/collision","display_name":"Collision","score":0.6679186820983887},{"id":"https://openalex.org/keywords/collision-detection","display_name":"Collision detection","score":0.6051194667816162},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5746744871139526},{"id":"https://openalex.org/keywords/collision-avoidance","display_name":"Collision avoidance","score":0.5043584108352661},{"id":"https://openalex.org/keywords/division","display_name":"Division (mathematics)","score":0.4981105327606201},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.49806690216064453},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.49175265431404114},{"id":"https://openalex.org/keywords/on-the-fly","display_name":"On the fly","score":0.48721712827682495},{"id":"https://openalex.org/keywords/spiking-neural-network","display_name":"Spiking neural network","score":0.4188403785228729},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32030969858169556}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7313076853752136},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7047402858734131},{"id":"https://openalex.org/C121704057","wikidata":"https://www.wikidata.org/wiki/Q352070","display_name":"Collision","level":2,"score":0.6679186820983887},{"id":"https://openalex.org/C199668693","wikidata":"https://www.wikidata.org/wiki/Q1550329","display_name":"Collision detection","level":3,"score":0.6051194667816162},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5746744871139526},{"id":"https://openalex.org/C2780864053","wikidata":"https://www.wikidata.org/wiki/Q5147495","display_name":"Collision avoidance","level":3,"score":0.5043584108352661},{"id":"https://openalex.org/C60798267","wikidata":"https://www.wikidata.org/wiki/Q1226939","display_name":"Division (mathematics)","level":2,"score":0.4981105327606201},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.49806690216064453},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.49175265431404114},{"id":"https://openalex.org/C2781020372","wikidata":"https://www.wikidata.org/wiki/Q533093","display_name":"On the fly","level":2,"score":0.48721712827682495},{"id":"https://openalex.org/C11731999","wikidata":"https://www.wikidata.org/wiki/Q9067355","display_name":"Spiking neural network","level":3,"score":0.4188403785228729},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32030969858169556},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccis57298.2022.10016381","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ccis57298.2022.10016381","pdf_url":null,"source":{"id":"https://openalex.org/S4363608348","display_name":"2022 IEEE 8th International Conference on Cloud Computing and Intelligent Systems (CCIS)","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":"2022 IEEE 8th International Conference on Cloud Computing and Intelligent Systems (CCIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.6800000071525574,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321927","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1964944869","https://openalex.org/W2014393798","https://openalex.org/W2033522594","https://openalex.org/W2034971891","https://openalex.org/W2039028460","https://openalex.org/W3090027660","https://openalex.org/W3111561755","https://openalex.org/W3133848646","https://openalex.org/W3191584536","https://openalex.org/W4225330060"],"related_works":["https://openalex.org/W2361971697","https://openalex.org/W4317634134","https://openalex.org/W2003273776","https://openalex.org/W2889566344","https://openalex.org/W2981729160","https://openalex.org/W2743212448","https://openalex.org/W2357889465","https://openalex.org/W4310743282","https://openalex.org/W2789203669","https://openalex.org/W3046417820"],"abstract_inverted_index":{"Camera-based":[0],"road":[1],"vehicle":[2,55],"collision":[3,31,41,56,107],"detection":[4,42,108],"is":[5,17,51],"a":[6,37,77],"major":[7],"challenge":[8],"in":[9,59,85,115],"the":[10,81,100],"field":[11],"of":[12],"intelligent":[13],"transportation,":[14],"particularly":[15],"it":[16],"still":[18],"open":[19],"to":[20,25,53],"borrow":[21],"motion":[22],"sensitive":[23],"neurons":[24],"construct":[26],"computational":[27],"models":[28],"for":[29],"multi-vehicle":[30],"detection.":[32],"To":[33],"fill":[34],"this":[35],"gap,":[36],"bio-inspired":[38],"fly":[39,101],"visual":[40,72,79],"neural":[43,49,73,102],"network":[44,64,83,103],"with":[45,76,111],"presynaptic":[46],"and":[47,90],"postsynaptic":[48],"networks":[50,68],"proposed":[52],"execute":[54,106],"early":[57],"warning":[58],"complex":[60],"scenes.":[61],"The":[62,94],"former":[63],"includes":[65],"four":[66,71],"sub-neural":[67],"which":[69],"share":[70],"layers,":[74],"each":[75],"specific":[78],"neuron;":[80],"latter":[82],"involves":[84],"one":[86],"lobula":[87],"plate":[88],"layer":[89],"three":[91],"spiking":[92],"neurons.":[93],"experimental":[95],"results":[96],"have":[97],"validated":[98],"that":[99],"can":[104],"successfully":[105],"when":[109],"confronted":[110],"some":[112],"approaching":[113],"object(s)":[114],"real":[116],"time.":[117]},"counts_by_year":[],"updated_date":"2025-12-21T23:12:01.093139","created_date":"2025-10-10T00:00:00"}