{"id":"https://openalex.org/W4416750396","doi":"https://doi.org/10.1109/sips66314.2025.11261310","title":"Edge-Server Distributed Architecture for Efficient Monocular Visual Localization","display_name":"Edge-Server Distributed Architecture for Efficient Monocular Visual Localization","publication_year":2025,"publication_date":"2025-11-01","ids":{"openalex":"https://openalex.org/W4416750396","doi":"https://doi.org/10.1109/sips66314.2025.11261310"},"language":null,"primary_location":{"id":"doi:10.1109/sips66314.2025.11261310","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sips66314.2025.11261310","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Workshop on Signal Processing Systems (SiPS)","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/A5103599677","display_name":"Li-Yang Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210117802","display_name":"Institute of Electronics","ror":"https://ror.org/0299eyn73","country_code":"BG","type":"nonprofit","lineage":["https://openalex.org/I24768866","https://openalex.org/I4210117802"]}],"countries":["BG"],"is_corresponding":false,"raw_author_name":"Li-Yang Huang","raw_affiliation_strings":["Graduate Institute of Electronics Engineering,Department of Electrical Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate Institute of Electronics Engineering,Department of Electrical Engineering","institution_ids":["https://openalex.org/I4210117802"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033383368","display_name":"Hsin\u2010Yu Chen","orcid":"https://orcid.org/0000-0002-2765-1685"},"institutions":[{"id":"https://openalex.org/I4210117802","display_name":"Institute of Electronics","ror":"https://ror.org/0299eyn73","country_code":"BG","type":"nonprofit","lineage":["https://openalex.org/I24768866","https://openalex.org/I4210117802"]}],"countries":["BG"],"is_corresponding":false,"raw_author_name":"Hsin-Yu Chen","raw_affiliation_strings":["Graduate Institute of Electronics Engineering,Department of Electrical Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate Institute of Electronics Engineering,Department of Electrical Engineering","institution_ids":["https://openalex.org/I4210117802"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Tang-I Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210117802","display_name":"Institute of Electronics","ror":"https://ror.org/0299eyn73","country_code":"BG","type":"nonprofit","lineage":["https://openalex.org/I24768866","https://openalex.org/I4210117802"]}],"countries":["BG"],"is_corresponding":false,"raw_author_name":"Tang-I Wang","raw_affiliation_strings":["Graduate Institute of Electronics Engineering,Department of Electrical Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate Institute of Electronics Engineering,Department of Electrical Engineering","institution_ids":["https://openalex.org/I4210117802"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009305504","display_name":"Shao\u2010Yi Chien","orcid":"https://orcid.org/0000-0002-0634-6294"},"institutions":[{"id":"https://openalex.org/I4210117802","display_name":"Institute of Electronics","ror":"https://ror.org/0299eyn73","country_code":"BG","type":"nonprofit","lineage":["https://openalex.org/I24768866","https://openalex.org/I4210117802"]}],"countries":["BG"],"is_corresponding":false,"raw_author_name":"Shao-Yi Chien","raw_affiliation_strings":["Graduate Institute of Electronics Engineering,Department of Electrical Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate Institute of Electronics Engineering,Department of Electrical Engineering","institution_ids":["https://openalex.org/I4210117802"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210117802"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.39623429,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9656999707221985,"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"}},"topics":[{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9656999707221985,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.017000000923871994,"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/T10868","display_name":"Soft Robotics and Applications","score":0.002899999963119626,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/visual-odometry","display_name":"Visual odometry","score":0.7734000086784363},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.6654999852180481},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5698000192642212},{"id":"https://openalex.org/keywords/odometry","display_name":"Odometry","score":0.4578999876976013},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.42590001225471497},{"id":"https://openalex.org/keywords/simultaneous-localization-and-mapping","display_name":"Simultaneous localization and mapping","score":0.41609999537467957},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.4101000130176544},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.3772999942302704}],"concepts":[{"id":"https://openalex.org/C5799516","wikidata":"https://www.wikidata.org/wiki/Q4110915","display_name":"Visual odometry","level":3,"score":0.7734000086784363},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7513999938964844},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.694599986076355},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.6654999852180481},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6568999886512756},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5698000192642212},{"id":"https://openalex.org/C49441653","wikidata":"https://www.wikidata.org/wiki/Q2014717","display_name":"Odometry","level":4,"score":0.4578999876976013},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.42590001225471497},{"id":"https://openalex.org/C86369673","wikidata":"https://www.wikidata.org/wiki/Q1203659","display_name":"Simultaneous localization and mapping","level":4,"score":0.41609999537467957},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.4101000130176544},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.3772999942302704},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.35370001196861267},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.33059999346733093},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.3296000063419342},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.32519999146461487},{"id":"https://openalex.org/C153715457","wikidata":"https://www.wikidata.org/wiki/Q254183","display_name":"Augmented reality","level":2,"score":0.296099990606308},{"id":"https://openalex.org/C2983222225","wikidata":"https://www.wikidata.org/wiki/Q2994424","display_name":"Consensus algorithm","level":2,"score":0.28940001130104065},{"id":"https://openalex.org/C158829959","wikidata":"https://www.wikidata.org/wiki/Q1640606","display_name":"Monocular vision","level":2,"score":0.28119999170303345},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.27970001101493835},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.27869999408721924},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2712000012397766},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.26269999146461487}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sips66314.2025.11261310","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sips66314.2025.11261310","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Workshop on Signal Processing Systems (SiPS)","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":17,"referenced_works":["https://openalex.org/W153084048","https://openalex.org/W1989476314","https://openalex.org/W1991544872","https://openalex.org/W2085261163","https://openalex.org/W2471962767","https://openalex.org/W2556455135","https://openalex.org/W2740418457","https://openalex.org/W2951019013","https://openalex.org/W2962705366","https://openalex.org/W2981867345","https://openalex.org/W3010479006","https://openalex.org/W3034275286","https://openalex.org/W3043075211","https://openalex.org/W3141835154","https://openalex.org/W3176602998","https://openalex.org/W4312532612","https://openalex.org/W4390872507"],"related_works":[],"abstract_inverted_index":{"Accurate":[0],"monocular":[1],"6-DoF":[2],"localization":[3,37,63],"(Degrees":[4],"of":[5],"Freedom)":[6],"is":[7],"crucial":[8],"for":[9,134],"autonomous":[10],"driving,":[11],"mobile":[12],"robotics,":[13],"and":[14,21,56,90,98,131],"augmented":[15],"reality.":[16],"While":[17],"visual":[18],"odometry":[19],"(VO)":[20],"SLAM":[22],"methods":[23,38,93],"achieve":[24,42],"real-time":[25],"performance,":[26],"their":[27,32,126],"susceptibility":[28],"to":[29,120],"drift":[30],"limits":[31],"global":[33,40,72],"accuracy.":[34],"Conversely,":[35],"image-based":[36],"leveraging":[39],"information":[41],"high":[43],"precision":[44],"but":[45],"incur":[46],"substantial":[47],"latency,":[48],"hindering":[49],"practical":[50,132],"deployment.":[51],"To":[52],"optimally":[53],"balance":[54],"accuracy":[55],"runtime":[57,118],"efficiency,":[58],"we":[59],"propose":[60],"a":[61,113],"distributed":[62],"framework":[64],"combining":[65],"lightweight":[66],"edgeside":[67],"VO":[68],"with":[69],"robust":[70,91],"server-side":[71],"feature-based":[73],"localization.":[74],"Our":[75],"system":[76],"employs":[77],"an":[78,129],"adaptive":[79],"matcher":[80],"selection":[81],"strategy":[82],"that":[83,109],"dynamically":[84],"switches":[85],"between":[86],"efficient":[87],"nearest-neighbor":[88],"matching":[89,125],"deep-learning-based":[92],"guided":[94],"by":[95],"motion":[96],"priors":[97],"match":[99],"reliability.":[100],"Extensive":[101],"experiments":[102],"on":[103],"the":[104],"Extended":[105],"CMU-Seasons":[106],"dataset":[107],"demonstrate":[108],"our":[110],"approach":[111],"achieves":[112],"9.3":[114],"times":[115],"speedup":[116],"in":[117],"compared":[119],"localizationonly":[121],"solutions":[122],"while":[123],"closely":[124],"accuracy,":[127],"presenting":[128],"effective":[130],"solution":[133],"real-world":[135],"embeddedsystem":[136],"applications.":[137]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-11-28T00:00:00"}