{"id":"https://openalex.org/W7128739257","doi":"https://doi.org/10.48550/arxiv.2602.10910","title":"Safe mobility support system using crowd mapping and avoidance route planning using VLM","display_name":"Safe mobility support system using crowd mapping and avoidance route planning using VLM","publication_year":2026,"publication_date":"2026-02-11","ids":{"openalex":"https://openalex.org/W7128739257","doi":"https://doi.org/10.48550/arxiv.2602.10910"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2602.10910","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.10910","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2602.10910","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5046245237","display_name":"Sena SAITO","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Saito, Sena","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125699228","display_name":"Kenta Tabata","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tabata, Kenta","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017184377","display_name":"Renato Miyagusuku","orcid":"https://orcid.org/0000-0003-2471-2187"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Miyagusuku, Renato","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5125756618","display_name":"Koichi Ozaki","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ozaki, Koichi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.35010001063346863,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.35010001063346863,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.27129998803138733,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10709","display_name":"Social Robot Interaction and HRI","score":0.10589999705553055,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.6349999904632568},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.6220999956130981},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6079999804496765},{"id":"https://openalex.org/keywords/economic-shortage","display_name":"Economic shortage","score":0.5464000105857849},{"id":"https://openalex.org/keywords/motion-planning","display_name":"Motion planning","score":0.4593000113964081},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.42559999227523804},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.4050000011920929}],"concepts":[{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.6349999904632568},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.6220999956130981},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6079999804496765},{"id":"https://openalex.org/C194051981","wikidata":"https://www.wikidata.org/wiki/Q1337691","display_name":"Economic shortage","level":3,"score":0.5464000105857849},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5170999765396118},{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.4593000113964081},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.42559999227523804},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.42320001125335693},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.4050000011920929},{"id":"https://openalex.org/C2989549987","wikidata":"https://www.wikidata.org/wiki/Q350882","display_name":"Route planning","level":2,"score":0.37599998712539673},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.36149999499320984},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32010000944137573},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3167000114917755},{"id":"https://openalex.org/C2776544517","wikidata":"https://www.wikidata.org/wiki/Q189447","display_name":"Unexpected events","level":2,"score":0.3009999990463257},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.29660001397132874},{"id":"https://openalex.org/C2780864053","wikidata":"https://www.wikidata.org/wiki/Q5147495","display_name":"Collision avoidance","level":3,"score":0.28299999237060547},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.2702000141143799},{"id":"https://openalex.org/C79487989","wikidata":"https://www.wikidata.org/wiki/Q934680","display_name":"Vehicle dynamics","level":2,"score":0.26440000534057617},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.25619998574256897}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2602.10910","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.10910","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2602.10910","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.10910","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"score":0.6247929930686951,"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Autonomous":[0],"mobile":[1],"robots":[2,84],"offer":[3],"promising":[4],"solutions":[5],"for":[6,49],"labor":[7],"shortages":[8],"and":[9,16,37,67,92,98],"increased":[10],"operational":[11],"efficiency.":[12],"However,":[13],"navigating":[14],"safely":[15],"effectively":[17],"in":[18],"dynamic":[19,44,93],"environments,":[20],"particularly":[21],"crowded":[22],"areas,":[23],"remains":[24],"challenging.":[25],"This":[26],"paper":[27],"proposes":[28],"a":[29,79],"novel":[30],"framework":[31],"that":[32,83],"integrates":[33],"Vision-Language":[34],"Models":[35],"(VLM)":[36],"Gaussian":[38],"Process":[39],"Regression":[40],"(GPR)":[41],"to":[42,58],"generate":[43],"crowd-density":[45],"maps":[46],"(``Abstraction":[47],"Maps'')":[48],"autonomous":[50],"robot":[51],"navigation.":[52],"Our":[53],"approach":[54],"utilizes":[55],"VLM's":[56],"capability":[57],"recognize":[59],"abstract":[60],"environmental":[61],"concepts,":[62],"such":[63],"as":[64],"crowd":[65],"densities,":[66],"represents":[68],"them":[69],"probabilistically":[70],"via":[71],"GPR.":[72],"Experimental":[73],"results":[74],"from":[75],"real-world":[76],"trials":[77],"on":[78],"university":[80],"campus":[81],"demonstrated":[82],"successfully":[85],"generated":[86],"routes":[87],"avoiding":[88],"both":[89],"static":[90],"obstacles":[91],"crowds,":[94],"enhancing":[95],"navigation":[96],"safety":[97],"adaptability.":[99]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-02-13T00:00:00"}