{"id":"https://openalex.org/W7114922665","doi":"https://doi.org/10.1145/3748636.3766534","title":"MambaLoc: Lightweight Indoor Localization For Unmanned Vehicles Using Cross-Modal Knowledge Distillation","display_name":"MambaLoc: Lightweight Indoor Localization For Unmanned Vehicles Using Cross-Modal Knowledge Distillation","publication_year":2025,"publication_date":"2025-11-03","ids":{"openalex":"https://openalex.org/W7114922665","doi":"https://doi.org/10.1145/3748636.3766534"},"language":null,"primary_location":{"id":"doi:10.1145/3748636.3766534","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3748636.3766534","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3748636.3766534","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Advances in Geographic Information Systems","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3748636.3766534","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Mohab Bahnassy","orcid":"https://orcid.org/0009-0006-4433-942X"},"institutions":[{"id":"https://openalex.org/I80693520","display_name":"American University in Cairo","ror":"https://ror.org/0176yqn58","country_code":"EG","type":"education","lineage":["https://openalex.org/I80693520"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Mohab Bahnassy","raw_affiliation_strings":["The American University in Cairo, Cairo, Egypt"],"raw_orcid":"https://orcid.org/0009-0006-4433-942X","affiliations":[{"raw_affiliation_string":"The American University in Cairo, Cairo, Egypt","institution_ids":["https://openalex.org/I80693520"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Omar Saqr","orcid":"https://orcid.org/0009-0002-4409-8057"},"institutions":[{"id":"https://openalex.org/I80693520","display_name":"American University in Cairo","ror":"https://ror.org/0176yqn58","country_code":"EG","type":"education","lineage":["https://openalex.org/I80693520"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Omar Saqr","raw_affiliation_strings":["The American University in Cairo, Cairo, Egypt"],"raw_orcid":"https://orcid.org/0009-0002-4409-8057","affiliations":[{"raw_affiliation_string":"The American University in Cairo, Cairo, Egypt","institution_ids":["https://openalex.org/I80693520"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Hamada Rizk","orcid":"https://orcid.org/0000-0002-8278-8801"},"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":"Hamada Rizk","raw_affiliation_strings":["Osaka University, Suita, Osaka, Japan"],"raw_orcid":"https://orcid.org/0000-0002-8278-8801","affiliations":[{"raw_affiliation_string":"Osaka University, Suita, Osaka, Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"last","author":{"id":null,"display_name":"Moustafa Youssef","orcid":"https://orcid.org/0000-0002-2063-4364"},"institutions":[{"id":"https://openalex.org/I80693520","display_name":"American University in Cairo","ror":"https://ror.org/0176yqn58","country_code":"EG","type":"education","lineage":["https://openalex.org/I80693520"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Moustafa Youssef","raw_affiliation_strings":["The American University in Cairo, Cairo, Egypt"],"raw_orcid":"https://orcid.org/0000-0002-2063-4364","affiliations":[{"raw_affiliation_string":"The American University in Cairo, Cairo, Egypt","institution_ids":["https://openalex.org/I80693520"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1288","last_page":"1289"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.7336999773979187,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.7336999773979187,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.13279999792575836,"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/T11133","display_name":"UAV Applications and Optimization","score":0.024800000712275505,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6668000221252441},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6154999732971191},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5853000283241272},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.4440000057220459},{"id":"https://openalex.org/keywords/flops","display_name":"FLOPS","score":0.4431000053882599},{"id":"https://openalex.org/keywords/multipath-propagation","display_name":"Multipath propagation","score":0.36500000953674316},{"id":"https://openalex.org/keywords/train","display_name":"Train","score":0.34599998593330383}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6668000221252441},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6468999981880188},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6154999732971191},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5853000283241272},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.46939998865127563},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.4440000057220459},{"id":"https://openalex.org/C3826847","wikidata":"https://www.wikidata.org/wiki/Q188768","display_name":"FLOPS","level":2,"score":0.4431000053882599},{"id":"https://openalex.org/C161218011","wikidata":"https://www.wikidata.org/wiki/Q11827794","display_name":"Multipath propagation","level":3,"score":0.36500000953674316},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3515999913215637},{"id":"https://openalex.org/C190839683","wikidata":"https://www.wikidata.org/wiki/Q2448197","display_name":"Train","level":2,"score":0.34599998593330383},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.3441999852657318},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.30790001153945923},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.2856000065803528},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.2849999964237213},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.2822999954223633},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2815000116825104},{"id":"https://openalex.org/C55282118","wikidata":"https://www.wikidata.org/wiki/Q252683","display_name":"Snapshot (computer storage)","level":2,"score":0.2782999873161316},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.2750000059604645},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.27399998903274536},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2667999863624573},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.2632000148296356},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.2615000009536743}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3748636.3766534","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3748636.3766534","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3748636.3766534","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Advances in Geographic Information Systems","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3748636.3766534","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3748636.3766534","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3748636.3766534","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Advances in Geographic Information Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.44807061553001404}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7114922665.pdf","grobid_xml":"https://content.openalex.org/works/W7114922665.grobid-xml"},"referenced_works_count":2,"referenced_works":["https://openalex.org/W3206448913","https://openalex.org/W4312268162"],"related_works":[],"abstract_inverted_index":{"Indoor":[0],"localization":[1,51],"of":[2,117],"Unmanned":[3],"Vehicles":[4],"is":[5,100],"critical":[6],"for":[7,158],"tasks":[8],"requiring":[9],"low":[10,13],"latency":[11],"and":[12,56,112,141,155],"power":[14],"consumption.":[15],"Channel":[16],"State":[17],"Information":[18],"(CSI)":[19],"systems":[20],"provide":[21],"a":[22,69,78,104,133,148,153],"promising":[23],"approach":[24],"by":[25,58,130,139,144],"capturing":[26],"fine-grained":[27],"signal":[28],"features,":[29],"but":[30],"often":[31],"suffer":[32],"from":[33],"limited":[34],"accuracy":[35],"in":[36,109],"complex":[37],"environments":[38,124],"or":[39],"high":[40],"computational":[41],"cost.":[42],"To":[43],"address":[44],"this,":[45],"we":[46],"propose":[47],"MambaLoc,":[48],"an":[49],"indoor":[50],"framework":[52],"that":[53,126],"balances":[54],"efficiency":[55],"precision":[57],"leveraging":[59],"Mamba":[60,84],"architectures":[61],"with":[62],"cross-modal":[63],"knowledge":[64],"distillation.":[65],"In":[66],"offline":[67],"training,":[68],"Transformer":[70,149],"based":[71],"on":[72,93,122],"Ultra-Wideband":[73],"(UWB)":[74],"data":[75],"acts":[76],"as":[77],"teacher":[79,111],"to":[80,88,147],"guide":[81],"the":[82],"CSI-based":[83],"student,":[85,113],"improving":[86],"robustness":[87],"multipath":[89],"effects":[90],"without":[91],"relying":[92],"UWB":[94],"during":[95],"inference.":[96],"The":[97],"distillation":[98],"process":[99],"further":[101],"enhanced":[102],"using":[103],"Gaussian":[105],"Mixture":[106],"Model":[107],"(GMM)":[108],"both":[110],"enabling":[114],"effective":[115],"transfer":[116],"UWB-derived":[118],"spatial":[119],"representations.":[120],"Evaluations":[121],"real-world":[123],"show":[125],"MambaLoc":[127],"reduces":[128],"MAE":[129],"22.53%":[131],"over":[132],"baseline":[134],"Mamba,":[135],"while":[136],"cutting":[137],"FLOPs":[138],"65.1%":[140],"inference":[142],"time":[143],"58%":[145],"compared":[146],"model,":[150],"making":[151],"it":[152],"practical":[154],"deployable":[156],"solution":[157],"UV":[159],"localization.":[160]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-12-12T00:00:00"}