{"id":"https://openalex.org/W4408610122","doi":"https://doi.org/10.1109/icaiic64266.2025.10920652","title":"Simulating Mobile Robot Vision: An Analysis of RGB-D Versus RGB-Based Distance Accuracy and CPU Optimization","display_name":"Simulating Mobile Robot Vision: An Analysis of RGB-D Versus RGB-Based Distance Accuracy and CPU Optimization","publication_year":2025,"publication_date":"2025-02-18","ids":{"openalex":"https://openalex.org/W4408610122","doi":"https://doi.org/10.1109/icaiic64266.2025.10920652"},"language":"en","primary_location":{"id":"doi:10.1109/icaiic64266.2025.10920652","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaiic64266.2025.10920652","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","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/A5018449428","display_name":"Minseok Kong","orcid":"https://orcid.org/0000-0002-1562-863X"},"institutions":[{"id":"https://openalex.org/I148751991","display_name":"Sogang University","ror":"https://ror.org/056tn4839","country_code":"KR","type":"education","lineage":["https://openalex.org/I148751991"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Minseok Kong","raw_affiliation_strings":["Sogang University,Dept. Computer Science and Engineering,Seoul,South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sogang University,Dept. Computer Science and Engineering,Seoul,South Korea","institution_ids":["https://openalex.org/I148751991"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058108589","display_name":"Jiho Park","orcid":"https://orcid.org/0000-0002-1048-3881"},"institutions":[{"id":"https://openalex.org/I205490536","display_name":"Dongguk University","ror":"https://ror.org/057q6n778","country_code":"KR","type":"education","lineage":["https://openalex.org/I205490536"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jiho Park","raw_affiliation_strings":["Dongguk University,Dept. Artificial Intelligence,Seoul,South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dongguk University,Dept. Artificial Intelligence,Seoul,South Korea","institution_ids":["https://openalex.org/I205490536"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Daye Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Daye Lee","raw_affiliation_strings":["Seoul National University,Dept. Data Science,Seoul,South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Seoul National University,Dept. Data Science,Seoul,South Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002505750","display_name":"Nikolaos Kourtzanidis","orcid":"https://orcid.org/0000-0001-8892-0837"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nikolaos Kourtzanidis","raw_affiliation_strings":["Cyberworks Robotics,Toronto,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cyberworks Robotics,Toronto,Canada","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022288678","display_name":"Jungmin So","orcid":"https://orcid.org/0000-0001-5486-9068"},"institutions":[{"id":"https://openalex.org/I148751991","display_name":"Sogang University","ror":"https://ror.org/056tn4839","country_code":"KR","type":"education","lineage":["https://openalex.org/I148751991"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jungmin So","raw_affiliation_strings":["Sogang University,Dept. Computer Science and Engineering,Seoul,South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sogang University,Dept. Computer Science and Engineering,Seoul,South Korea","institution_ids":["https://openalex.org/I148751991"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04296603,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"0871","last_page":"0876"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9998000264167786,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9998000264167786,"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":0.9997000098228455,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9994000196456909,"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/rgb-color-model","display_name":"RGB color model","score":0.7376704216003418},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7246865034103394},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6471259593963623},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.6285759806632996},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6218425631523132},{"id":"https://openalex.org/keywords/robot-vision","display_name":"Robot vision","score":0.460157185792923},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.3552449941635132},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3307846188545227}],"concepts":[{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.7376704216003418},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7246865034103394},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6471259593963623},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.6285759806632996},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6218425631523132},{"id":"https://openalex.org/C2983761899","wikidata":"https://www.wikidata.org/wiki/Q604674","display_name":"Robot vision","level":4,"score":0.460157185792923},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.3552449941635132},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3307846188545227}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icaiic64266.2025.10920652","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaiic64266.2025.10920652","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.5299999713897705}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1612997784","https://openalex.org/W1861492603","https://openalex.org/W1990012555","https://openalex.org/W2150066425","https://openalex.org/W2193145675","https://openalex.org/W2520707372","https://openalex.org/W2570343428","https://openalex.org/W2593414960","https://openalex.org/W2914821954","https://openalex.org/W2951234442","https://openalex.org/W2963037989","https://openalex.org/W2963122961","https://openalex.org/W2963163009","https://openalex.org/W2963351448","https://openalex.org/W3012573144","https://openalex.org/W3018757597","https://openalex.org/W3096609285","https://openalex.org/W3106250896","https://openalex.org/W3180134609","https://openalex.org/W3184439416","https://openalex.org/W4226272687","https://openalex.org/W4293584584","https://openalex.org/W4297676427","https://openalex.org/W4310428497","https://openalex.org/W4375958146","https://openalex.org/W4385775088","https://openalex.org/W4386076325","https://openalex.org/W4386976814","https://openalex.org/W4388856936","https://openalex.org/W4403770406","https://openalex.org/W6682324061","https://openalex.org/W6685261749","https://openalex.org/W6750227808","https://openalex.org/W6756486208","https://openalex.org/W6760424586","https://openalex.org/W6777046832","https://openalex.org/W6798838024","https://openalex.org/W6810974023","https://openalex.org/W6843239693","https://openalex.org/W6846652169","https://openalex.org/W6852266440","https://openalex.org/W6855390429","https://openalex.org/W6856831935","https://openalex.org/W6862000706"],"related_works":["https://openalex.org/W2486460843","https://openalex.org/W2168109476","https://openalex.org/W1968121071","https://openalex.org/W2061647633","https://openalex.org/W8302103","https://openalex.org/W2020254986","https://openalex.org/W2122871747","https://openalex.org/W3114279067","https://openalex.org/W2047155493","https://openalex.org/W2006288243"],"abstract_inverted_index":{"From":[0],"the":[1,14,30,33,38,62,72,104,118,122,132,166,172],"perspective":[2],"of":[3,40],"mobile":[4,42],"robot":[5,15,31],"vision,":[6],"to":[7,22,46,52,136],"facilitate":[8],"secure":[9],"and":[10,16,25,32,56,75,85,121,146,150,169],"seamless":[11],"interactions":[12],"between":[13,29,103],"its":[17],"environment,":[18],"it":[19],"is":[20],"paramount":[21],"attain":[23],"precise":[24],"metic-ulous":[26],"distance":[27,77,105,123],"estimation":[28,78,111],"detected":[34],"entities.":[35],"Moreover,":[36],"in":[37,71,80,165,171],"absence":[39],"GPUs,":[41],"robots":[43],"are":[44],"compelled":[45],"rely":[47],"solely":[48],"on":[49,67,117],"CPU":[50,69,138,160],"resources":[51],"manage":[53],"vision-related":[54],"tasks":[55],"other":[57],"operational":[58],"imperatives.":[59],"To":[60],"address":[61],"challenges":[63],"above,":[64],"we":[65,130,158],"focused":[66],"reducing":[68],"usage":[70],"vision":[73],"system":[74],"analyzing":[76],"accuracy":[79],"two":[81],"scenarios:":[82],"leveraging":[83],"RGB-D":[84,127,167],"RGB":[86,173],"cameras.":[87,128],"We":[88],"executed":[89],"real-time":[90],"object":[91],"detection":[92],"targeting":[93],"humans":[94],"utilizing":[95],"YOLOv8":[96],"Nano,":[97],"subsequently":[98],"undertaking":[99],"a":[100,113,141,148,151],"comparative":[101],"analysis":[102],"estimates":[106],"derived":[107],"through":[108],"monocular":[109],"depth":[110],"using":[112],"MobileNetV2":[114],"model,":[115],"trained":[116],"KITTI":[119],"dataset,":[120],"measurements":[124],"obtained":[125],"from":[126],"Additionally,":[129],"optimized":[131],"deep":[133],"learning":[134],"models":[135],"reduce":[137],"usage,":[139],"employing":[140],"hardware-specific":[142,149],"technique,":[143],"OpenVINO":[144],"conversion,":[145],"both":[147],"hardware-agnostic":[152],"strategy,":[153],"Post-Training":[154],"Quantization":[155],"(PTQ).":[156],"Consequently,":[157],"reduced":[159],"utilization":[161],"by":[162],"approximately":[163],"4.62%":[164],"scenario":[168],"5.32%":[170],"scenario.":[174]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}