{"id":"https://openalex.org/W2944038442","doi":"https://doi.org/10.1109/is.2018.8710581","title":"Recognition and Following of Dynamic Targets by an Omnidirectional Mobile Robot using a Deep Convolutional Neural Network","display_name":"Recognition and Following of Dynamic Targets by an Omnidirectional Mobile Robot using a Deep Convolutional Neural Network","publication_year":2018,"publication_date":"2018-09-01","ids":{"openalex":"https://openalex.org/W2944038442","doi":"https://doi.org/10.1109/is.2018.8710581","mag":"2944038442"},"language":"en","primary_location":{"id":"doi:10.1109/is.2018.8710581","is_oa":false,"landing_page_url":"https://doi.org/10.1109/is.2018.8710581","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Intelligent Systems (IS)","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/A5066869211","display_name":"Nikola Shakev","orcid":"https://orcid.org/0000-0003-2930-3366"},"institutions":[{"id":"https://openalex.org/I31151848","display_name":"Technical University of Sofia","ror":"https://ror.org/052prhs50","country_code":"BG","type":"education","lineage":["https://openalex.org/I31151848"]}],"countries":["BG"],"is_corresponding":true,"raw_author_name":"Nikola G. Shakev","raw_affiliation_strings":["Control Systems Department, Technical University of Sofia, Plovdiv, Bulgaria"],"affiliations":[{"raw_affiliation_string":"Control Systems Department, Technical University of Sofia, Plovdiv, Bulgaria","institution_ids":["https://openalex.org/I31151848"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023205529","display_name":"Sevil Ahmed","orcid":"https://orcid.org/0000-0001-6528-3548"},"institutions":[{"id":"https://openalex.org/I31151848","display_name":"Technical University of Sofia","ror":"https://ror.org/052prhs50","country_code":"BG","type":"education","lineage":["https://openalex.org/I31151848"]}],"countries":["BG"],"is_corresponding":false,"raw_author_name":"Sevil A. Ahmed","raw_affiliation_strings":["Control Systems Department, Technical University of Sofia, Plovdiv, Bulgaria"],"affiliations":[{"raw_affiliation_string":"Control Systems Department, Technical University of Sofia, Plovdiv, Bulgaria","institution_ids":["https://openalex.org/I31151848"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065384970","display_name":"Vasil L. Popov","orcid":"https://orcid.org/0000-0002-3827-1717"},"institutions":[{"id":"https://openalex.org/I31151848","display_name":"Technical University of Sofia","ror":"https://ror.org/052prhs50","country_code":"BG","type":"education","lineage":["https://openalex.org/I31151848"]}],"countries":["BG"],"is_corresponding":false,"raw_author_name":"Vasil L. Popov","raw_affiliation_strings":["Control Systems Department, Technical University of Sofia, Plovdiv, Bulgaria"],"affiliations":[{"raw_affiliation_string":"Control Systems Department, Technical University of Sofia, Plovdiv, Bulgaria","institution_ids":["https://openalex.org/I31151848"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062472186","display_name":"Andon V. Topalov","orcid":"https://orcid.org/0000-0002-1679-3100"},"institutions":[{"id":"https://openalex.org/I31151848","display_name":"Technical University of Sofia","ror":"https://ror.org/052prhs50","country_code":"BG","type":"education","lineage":["https://openalex.org/I31151848"]}],"countries":["BG"],"is_corresponding":false,"raw_author_name":"Andon V. Topalov","raw_affiliation_strings":["Control Systems Department, Technical University of Sofia, Plovdiv, Bulgaria"],"affiliations":[{"raw_affiliation_string":"Control Systems Department, Technical University of Sofia, Plovdiv, Bulgaria","institution_ids":["https://openalex.org/I31151848"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5066869211"],"corresponding_institution_ids":["https://openalex.org/I31151848"],"apc_list":null,"apc_paid":null,"fwci":0.4178,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.68933777,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"589","last_page":"594"},"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":0.9987000226974487,"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":0.9987000226974487,"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":0.9986000061035156,"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":0.9983000159263611,"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/mobile-robot","display_name":"Mobile robot","score":0.7539777159690857},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7458187341690063},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7222869396209717},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6628968715667725},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6340137124061584},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.605019211769104},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5089800357818604},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5070621967315674},{"id":"https://openalex.org/keywords/robotics","display_name":"Robotics","score":0.48880383372306824},{"id":"https://openalex.org/keywords/obstacle-avoidance","display_name":"Obstacle avoidance","score":0.4626973271369934},{"id":"https://openalex.org/keywords/omnidirectional-antenna","display_name":"Omnidirectional antenna","score":0.4279513359069824}],"concepts":[{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.7539777159690857},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7458187341690063},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7222869396209717},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6628968715667725},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6340137124061584},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.605019211769104},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5089800357818604},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5070621967315674},{"id":"https://openalex.org/C34413123","wikidata":"https://www.wikidata.org/wiki/Q170978","display_name":"Robotics","level":3,"score":0.48880383372306824},{"id":"https://openalex.org/C6683253","wikidata":"https://www.wikidata.org/wiki/Q7075535","display_name":"Obstacle avoidance","level":4,"score":0.4626973271369934},{"id":"https://openalex.org/C24027999","wikidata":"https://www.wikidata.org/wiki/Q2176348","display_name":"Omnidirectional antenna","level":3,"score":0.4279513359069824},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C21822782","wikidata":"https://www.wikidata.org/wiki/Q131214","display_name":"Antenna (radio)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/is.2018.8710581","is_oa":false,"landing_page_url":"https://doi.org/10.1109/is.2018.8710581","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Intelligent Systems (IS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.4099999964237213,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W22040386","https://openalex.org/W1498436455","https://openalex.org/W1573503290","https://openalex.org/W1901616594","https://openalex.org/W1969067576","https://openalex.org/W2026942141","https://openalex.org/W2038128936","https://openalex.org/W2041106615","https://openalex.org/W2069143585","https://openalex.org/W2070374624","https://openalex.org/W2076063813","https://openalex.org/W2094024286","https://openalex.org/W2122394460","https://openalex.org/W2122585011","https://openalex.org/W2136922672","https://openalex.org/W2141125852","https://openalex.org/W2152417180","https://openalex.org/W2163605009","https://openalex.org/W2167510172","https://openalex.org/W2168231600","https://openalex.org/W2919115771","https://openalex.org/W2971913558","https://openalex.org/W6600893292","https://openalex.org/W6680715401","https://openalex.org/W6684191040","https://openalex.org/W6684372118","https://openalex.org/W6684859321","https://openalex.org/W6767595329"],"related_works":["https://openalex.org/W2906946336","https://openalex.org/W2938416672","https://openalex.org/W2146611987","https://openalex.org/W4289599435","https://openalex.org/W4389432327","https://openalex.org/W2132660247","https://openalex.org/W1986528036","https://openalex.org/W2098534227","https://openalex.org/W3126153333","https://openalex.org/W2155757393"],"abstract_inverted_index":{"Recent":[0],"advances":[1],"in":[2,21,56,110,168],"deep":[3,14,85,150],"learning":[4,151],"have":[5],"stimulated":[6],"the":[7,11,24,62,74,111,123,141,144,165,169,181],"research":[8],"related":[9],"to":[10,17,48,76,91,102,129,156,179],"application":[12],"of":[13,26,32,64,125,163],"neural":[15,87,152],"networks":[16],"solve":[18],"various":[19],"problems":[20],"robotics.":[22],"In":[23,81],"field":[25],"service":[27,138],"robots":[28,47,108],"recognition":[29],"and":[30,52,67,104,158,190],"tracking":[31],"dynamic":[33,132],"objects":[34],"plays":[35],"an":[36,93],"important":[37],"role":[38],"since":[39],"it":[40],"is":[41,89,154],"crucial":[42],"for":[43,136],"developing":[44],"behaviors":[45],"allowing":[46],"co-exist":[49],"with":[50,98],"humans":[51],"other":[53,106,166],"autonomous":[54,65],"machines":[55],"shared":[57],"environments.":[58],"It":[59],"can":[60,115],"simplify":[61],"design":[63,130],"navigation":[66],"obstacle":[68],"avoidance":[69],"algorithms":[70],"as":[71,73,118],"well":[72],"ability":[75],"operate":[77],"within":[78],"multi-agent":[79],"formations.":[80],"this":[82],"investigation,":[83],"a":[84,119,131,137,149,161,186],"convolutional":[86],"network":[88],"implemented":[90,145],"allow":[92],"omnidirectional":[94,174],"mobile":[95,107,171,175],"platform,":[96],"equipped":[97],"onboard":[99],"TV":[100],"camera,":[101],"recognize":[103,157],"follow":[105,180],"moving":[109,167],"lab.":[112],"This":[113],"task":[114],"be":[116],"regarded":[117],"substantial":[120],"step":[121],"on":[122,148,160],"way":[124],"achieving":[126],"our":[127],"goal":[128],"target":[133],"following":[134],"behavior":[135],"robot.":[139,172],"During":[140],"conducted":[142],"experiments,":[143],"algorithm,":[146],"based":[147],"network,":[153],"able":[155],"localize":[159],"sequence":[162],"images":[164],"lab":[170],"The":[173],"platform":[176],"begins":[177],"then":[178],"detected":[182],"robot":[183],"by":[184],"maintaining":[185],"pre-specified":[187],"relative":[188],"position":[189],"orientation.":[191]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
