{"id":"https://openalex.org/W7165641403","doi":"https://doi.org/10.48550/arxiv.2606.22672","title":"Efficient Continuous Semantic Mapping based on Spatio-Temporal Awareness","display_name":"Efficient Continuous Semantic Mapping based on Spatio-Temporal Awareness","publication_year":2026,"publication_date":"2026-06-21","ids":{"openalex":"https://openalex.org/W7165641403","doi":"https://doi.org/10.48550/arxiv.2606.22672"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.22672","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.22672","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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.2606.22672","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5139198300","display_name":"My Le Pham","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pham, My Le","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112906223","display_name":"Dinh Trieu Duong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Duong, Dinh Trieu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139135118","display_name":"Xiem HoangVan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"HoangVan, Xiem","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5139175926","display_name":"Thanh Nguyen Canh","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Canh, Thanh Nguyen","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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.8668000102043152,"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":0.8668000102043152,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.02160000056028366,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.014000000432133675,"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/semantic-mapping","display_name":"Semantic mapping","score":0.8382999897003174},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6312000155448914},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.621399998664856},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.46630001068115234},{"id":"https://openalex.org/keywords/semantic-data-model","display_name":"Semantic data model","score":0.4124999940395355},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.39419999718666077},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.38119998574256897}],"concepts":[{"id":"https://openalex.org/C2775955345","wikidata":"https://www.wikidata.org/wiki/Q7449071","display_name":"Semantic mapping","level":2,"score":0.8382999897003174},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7347999811172485},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6312000155448914},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6258999705314636},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.621399998664856},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.46630001068115234},{"id":"https://openalex.org/C90312973","wikidata":"https://www.wikidata.org/wiki/Q7449052","display_name":"Semantic data model","level":2,"score":0.4124999940395355},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.39419999718666077},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.38119998574256897},{"id":"https://openalex.org/C511149849","wikidata":"https://www.wikidata.org/wiki/Q7449051","display_name":"Semantic computing","level":3,"score":0.3549000024795532},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.31709998846054077},{"id":"https://openalex.org/C86369673","wikidata":"https://www.wikidata.org/wiki/Q1203659","display_name":"Simultaneous localization and mapping","level":4,"score":0.30469998717308044},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.30399999022483826},{"id":"https://openalex.org/C2778180026","wikidata":"https://www.wikidata.org/wiki/Q18378163","display_name":"Semantic heterogeneity","level":4,"score":0.3034000098705292},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.29159998893737793},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2815000116825104},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.2736000120639801},{"id":"https://openalex.org/C155911833","wikidata":"https://www.wikidata.org/wiki/Q3817354","display_name":"Spatial intelligence","level":2,"score":0.26820001006126404},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.2635999917984009},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.2533999979496002}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.22672","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.22672","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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.2606.22672","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.22672","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Continuous":[0],"semantic":[1,14,37,58,69,82,137],"mapping":[2,59,107,138],"allows":[3],"autonomous":[4,140],"robots":[5],"to":[6,44,79,89],"understand":[7],"both":[8],"the":[9,13,24,36,68,75,80,98,103],"spatial":[10,63],"structure":[11],"and":[12,32,48,64,84,93,112],"content":[15],"of":[16,116],"complex":[17],"environments.":[18],"However,":[19],"most":[20],"existing":[21],"methods":[22],"process":[23],"entire":[25],"space,":[26],"treat":[27],"voxels":[28],"as":[29],"independent":[30],"units,":[31],"do":[33],"not":[34],"keep":[35],"labels":[38,86],"consistent":[39],"over":[40,87],"time.":[41],"This":[42,54],"leads":[43],"high":[45],"computational":[46,94],"cost":[47],"reduced":[49],"robustness":[50],"in":[51,139],"dynamic":[52],"scenes.":[53],"paper":[55],"proposes":[56],"a":[57],"method":[60,73,105],"that":[61,102,130],"brings":[62],"temporal":[65],"relationships":[66],"into":[67],"inference":[70,76],"process.":[71],"The":[72],"adjusts":[74],"range":[77],"according":[78],"local":[81],"uncertainty":[83],"fuses":[85],"time":[88],"improve":[90],"map":[91],"stability":[92],"efficiency.":[95],"Experiments":[96],"on":[97],"SemanticKITTI":[99],"dataset":[100],"show":[101,129],"proposed":[104],"improves":[106],"accuracy":[108],"by":[109],"about":[110],"12%":[111],"reaches":[113],"an":[114],"mIoU":[115],"54.92%,":[117],"which":[118],"is":[119,133],"13.18":[120],"percentage":[121],"points":[122],"higher":[123],"than":[124],"spatial-only":[125],"mapping.":[126],"These":[127],"results":[128],"spatiotemporal":[131],"reasoning":[132],"effective":[134],"for":[135],"continuous":[136],"robotic":[141],"systems.":[142]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-06-24T00:00:00"}
