{"id":"https://openalex.org/W4411635492","doi":"https://doi.org/10.1145/3731715.3733395","title":"MoRLACS: A Monocular RGBD-based Locomotion Approach for CAVE Systems","display_name":"MoRLACS: A Monocular RGBD-based Locomotion Approach for CAVE Systems","publication_year":2025,"publication_date":"2025-06-25","ids":{"openalex":"https://openalex.org/W4411635492","doi":"https://doi.org/10.1145/3731715.3733395"},"language":"en","primary_location":{"id":"doi:10.1145/3731715.3733395","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3731715.3733395","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 International Conference on Multimedia Retrieval","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/A5019201003","display_name":"Haopeng Lu","orcid":"https://orcid.org/0000-0002-1297-8730"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haopeng Lu","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-1297-8730","affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Ruiqi Li","orcid":"https://orcid.org/0009-0000-4210-6282"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruiqi Li","raw_affiliation_strings":["The University of Science and Technology Beijing, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0000-4210-6282","affiliations":[{"raw_affiliation_string":"The University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103272302","display_name":"Qian Yin","orcid":"https://orcid.org/0000-0002-9448-1639"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qian Yin","raw_affiliation_strings":["Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-9448-1639","affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002404808","display_name":"Li Song","orcid":"https://orcid.org/0000-0002-7124-5182"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Song","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-7124-5182","affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055937409","display_name":"Xinfeng Zhang","orcid":"https://orcid.org/0000-0002-7517-3868"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinfeng Zhang","raw_affiliation_strings":["University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-7517-3868","affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100385183","display_name":"Shanshe Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shanshe Wang","raw_affiliation_strings":["Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-7665-7434","affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039832462","display_name":"Siwei Ma","orcid":"https://orcid.org/0000-0002-2731-5403"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siwei Ma","raw_affiliation_strings":["Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-2731-5403","affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101523804","display_name":"Wen Gao","orcid":"https://orcid.org/0000-0001-8894-1806"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen Gao","raw_affiliation_strings":["Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8894-1806","affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"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":0.12552928,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"926","last_page":"934"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11687","display_name":"Teleoperation and Haptic Systems","score":0.9911999702453613,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T11687","display_name":"Teleoperation and Haptic Systems","score":0.9911999702453613,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9908000230789185,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9793999791145325,"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/computer-science","display_name":"Computer science","score":0.6770771145820618},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.663109302520752},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6247124075889587},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6162603497505188},{"id":"https://openalex.org/keywords/cave","display_name":"Cave","score":0.6011505126953125},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3678702116012573},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.15979823470115662},{"id":"https://openalex.org/keywords/archaeology","display_name":"Archaeology","score":0.055662184953689575}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6770771145820618},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.663109302520752},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6247124075889587},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6162603497505188},{"id":"https://openalex.org/C171878925","wikidata":"https://www.wikidata.org/wiki/Q35509","display_name":"Cave","level":2,"score":0.6011505126953125},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3678702116012573},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.15979823470115662},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.055662184953689575}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3731715.3733395","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3731715.3733395","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 International Conference on Multimedia Retrieval","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":33,"referenced_works":["https://openalex.org/W95067517","https://openalex.org/W1561256858","https://openalex.org/W1977550631","https://openalex.org/W1987303152","https://openalex.org/W2041031347","https://openalex.org/W2110738137","https://openalex.org/W2159990547","https://openalex.org/W2408265761","https://openalex.org/W2531274777","https://openalex.org/W2588375416","https://openalex.org/W2790013909","https://openalex.org/W2796330674","https://openalex.org/W2796825399","https://openalex.org/W2806226057","https://openalex.org/W2886150140","https://openalex.org/W2927422464","https://openalex.org/W2938343987","https://openalex.org/W2967688122","https://openalex.org/W3000190167","https://openalex.org/W3011792826","https://openalex.org/W3160494047","https://openalex.org/W3206328388","https://openalex.org/W3216782927","https://openalex.org/W4224271896","https://openalex.org/W4225120266","https://openalex.org/W4230616600","https://openalex.org/W4230917286","https://openalex.org/W4294555119","https://openalex.org/W4295904609","https://openalex.org/W4313244214","https://openalex.org/W4387664622","https://openalex.org/W4400438832","https://openalex.org/W4403439952"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Navigation":[0],"within":[1,99],"Cave":[2],"Automatic":[3],"Virtual":[4],"Environment":[5],"(CAVE)":[6],"systems":[7,30,54],"often":[8],"faces":[9],"challenges":[10],"due":[11],"to":[12,135],"limited":[13],"physical":[14,66],"space":[15],"and":[16,39,88,103,122,143],"the":[17,80,85,92,115,131],"necessity":[18],"for":[19,52,148],"seamless":[20],"user":[21,112,137],"interaction.":[22],"Traditional":[23],"solutions":[24],"typically":[25],"rely":[26],"on":[27],"multi-view":[28],"tracking":[29,79],"or":[31],"constrained":[32],"locomotion":[33,50],"techniques,":[34],"which":[35],"can":[36],"interrupt":[37],"immersion":[38],"hinder":[40],"usability.":[41],"In":[42],"this":[43],"paper,":[44],"we":[45],"introduce":[46],"MoRLACS,":[47],"a":[48,57,73,123],"novel":[49],"approach":[51],"CAVE":[53,101,141],"that":[55],"leverages":[56],"single":[58],"RGBD":[59],"camera.":[60],"This":[61],"hybrid":[62],"framework":[63],"integrates":[64],"small-scale":[65],"walking":[67,98],"with":[68,91],"controller-based":[69],"large-scale":[70],"exploration":[71],"through":[72],"tailored":[74],"guidance":[75],"method.":[76],"By":[77],"accurately":[78],"user's":[81],"head":[82],"position":[83],"in":[84,107,120,139],"real":[86],"world":[87],"synchronizing":[89],"it":[90],"virtual":[93,109],"camera,":[94],"MoRLACS":[95,134],"enables":[96],"natural":[97],"confined":[100],"spaces":[102],"supports":[104],"extended":[105],"interaction":[106,155],"larger":[108],"environments.":[110],"Preliminary":[111],"experiments":[113],"demonstrate":[114],"approach's":[116],"effectiveness,":[117],"revealing":[118],"improvements":[119],"usability":[121],"heightened":[124],"sense":[125],"of":[126,133],"presence.":[127],"These":[128],"findings":[129],"underscore":[130],"potential":[132],"enrich":[136],"experiences":[138],"immersive":[140],"settings":[142],"offer":[144],"valuable":[145],"design":[146],"insights":[147],"integrating":[149],"3D":[150],"sensor":[151],"data":[152],"into":[153],"multimedia":[154],"frameworks.":[156]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
