{"id":"https://openalex.org/W4401415511","doi":"https://doi.org/10.1109/icra57147.2024.10610717","title":"LaCE-LHMP: Airflow Modelling-Inspired Long-Term Human Motion Prediction By Enhancing Laminar Characteristics in Human Flow","display_name":"LaCE-LHMP: Airflow Modelling-Inspired Long-Term Human Motion Prediction By Enhancing Laminar Characteristics in Human Flow","publication_year":2024,"publication_date":"2024-05-13","ids":{"openalex":"https://openalex.org/W4401415511","doi":"https://doi.org/10.1109/icra57147.2024.10610717"},"language":"en","primary_location":{"id":"doi:10.1109/icra57147.2024.10610717","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra57147.2024.10610717","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-117873","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100949488","display_name":"Yufei Zhu","orcid":"https://orcid.org/0009-0001-7092-7608"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yufei Zhu","raw_affiliation_strings":["AASS Research Center, &#x00D6;rebro University,Robot Navigation and Perception Lab,Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AASS Research Center, &#x00D6;rebro University,Robot Navigation and Perception Lab,Sweden","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101624265","display_name":"Han Fan","orcid":"https://orcid.org/0000-0003-1662-0960"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Han Fan","raw_affiliation_strings":["AASS Research Center, &#x00D6;rebro University,Robot Navigation and Perception Lab,Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AASS Research Center, &#x00D6;rebro University,Robot Navigation and Perception Lab,Sweden","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046610614","display_name":"Andrey Rudenko","orcid":"https://orcid.org/0000-0002-2181-3444"},"institutions":[{"id":"https://openalex.org/I889804353","display_name":"Robert Bosch (Germany)","ror":"https://ror.org/01fe0jt45","country_code":"DE","type":"company","lineage":["https://openalex.org/I889804353"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Andrey Rudenko","raw_affiliation_strings":["Robert Bosch GmbH, Corporate Research,Stuttgart,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Robert Bosch GmbH, Corporate Research,Stuttgart,Germany","institution_ids":["https://openalex.org/I889804353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101576376","display_name":"Martin Magnusson","orcid":"https://orcid.org/0000-0001-8658-2985"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Martin Magnusson","raw_affiliation_strings":["AASS Research Center, &#x00D6;rebro University,Robot Navigation and Perception Lab,Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AASS Research Center, &#x00D6;rebro University,Robot Navigation and Perception Lab,Sweden","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024984249","display_name":"Erik Schaffernicht","orcid":"https://orcid.org/0000-0002-0804-8637"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Erik Schaffernicht","raw_affiliation_strings":["AASS Research Center, &#x00D6;rebro University,Robot Navigation and Perception Lab,Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AASS Research Center, &#x00D6;rebro University,Robot Navigation and Perception Lab,Sweden","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088586617","display_name":"Achim J. Lilienthal","orcid":"https://orcid.org/0000-0003-0217-9326"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Achim J. Lilienthal","raw_affiliation_strings":["AASS Research Center, &#x00D6;rebro University,Robot Navigation and Perception Lab,Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AASS Research Center, &#x00D6;rebro University,Robot Navigation and Perception Lab,Sweden","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0668,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.78044965,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"11281","last_page":"11288"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9976000189781189,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9976000189781189,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9973999857902527,"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/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9937000274658203,"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/laminar-flow","display_name":"Laminar flow","score":0.8458620309829712},{"id":"https://openalex.org/keywords/airflow","display_name":"Airflow","score":0.7878570556640625},{"id":"https://openalex.org/keywords/human-motion","display_name":"Human motion","score":0.6428472995758057},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.5733168125152588},{"id":"https://openalex.org/keywords/flow","display_name":"Flow (mathematics)","score":0.5336884260177612},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5088081955909729},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5033494830131531},{"id":"https://openalex.org/keywords/long-term-prediction","display_name":"Long-term prediction","score":0.44029393792152405},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.32999473810195923},{"id":"https://openalex.org/keywords/mechanics","display_name":"Mechanics","score":0.31094813346862793},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3039652109146118},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.19599759578704834},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.16284415125846863},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09912967681884766},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07735630869865417}],"concepts":[{"id":"https://openalex.org/C76563973","wikidata":"https://www.wikidata.org/wiki/Q189452","display_name":"Laminar flow","level":2,"score":0.8458620309829712},{"id":"https://openalex.org/C116067010","wikidata":"https://www.wikidata.org/wiki/Q4698686","display_name":"Airflow","level":2,"score":0.7878570556640625},{"id":"https://openalex.org/C2986578859","wikidata":"https://www.wikidata.org/wiki/Q657632","display_name":"Human motion","level":3,"score":0.6428472995758057},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.5733168125152588},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.5336884260177612},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5088081955909729},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5033494830131531},{"id":"https://openalex.org/C2776537626","wikidata":"https://www.wikidata.org/wiki/Q4047883","display_name":"Long-term prediction","level":2,"score":0.44029393792152405},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.32999473810195923},{"id":"https://openalex.org/C57879066","wikidata":"https://www.wikidata.org/wiki/Q41217","display_name":"Mechanics","level":1,"score":0.31094813346862793},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3039652109146118},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.19599759578704834},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.16284415125846863},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09912967681884766},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07735630869865417},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icra57147.2024.10610717","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra57147.2024.10610717","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"},{"id":"pmh:oai:DiVA.org:oru-117873","is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-117873","pdf_url":null,"source":{"id":"https://openalex.org/S4306400154","display_name":"\u00d6rebro University Library (\u00d6rebro University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I26437253","host_organization_name":"\u00d6rebro University","host_organization_lineage":["https://openalex.org/I26437253"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:DiVA.org:oru-117873","is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-117873","pdf_url":null,"source":{"id":"https://openalex.org/S4306400154","display_name":"\u00d6rebro University Library (\u00d6rebro University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I26437253","host_organization_name":"\u00d6rebro University","host_organization_lineage":["https://openalex.org/I26437253"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[{"score":0.75,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W192919555","https://openalex.org/W1967777429","https://openalex.org/W2077638917","https://openalex.org/W2101821104","https://openalex.org/W2142943472","https://openalex.org/W2167052694","https://openalex.org/W2336416123","https://openalex.org/W2424778531","https://openalex.org/W2572202106","https://openalex.org/W2580991611","https://openalex.org/W2585451140","https://openalex.org/W2593239008","https://openalex.org/W2631888524","https://openalex.org/W2775620293","https://openalex.org/W2810931617","https://openalex.org/W2891376043","https://openalex.org/W2908715333","https://openalex.org/W2950007497","https://openalex.org/W2962687116","https://openalex.org/W2963610939","https://openalex.org/W2972710271","https://openalex.org/W3003235888","https://openalex.org/W3033920763","https://openalex.org/W3035096461","https://openalex.org/W3040406603","https://openalex.org/W3083688670","https://openalex.org/W3093176731","https://openalex.org/W3106257603","https://openalex.org/W3114763066","https://openalex.org/W3116651890","https://openalex.org/W3160050461","https://openalex.org/W3210014692","https://openalex.org/W4214593147","https://openalex.org/W4285119569","https://openalex.org/W4293250436","https://openalex.org/W4298128166","https://openalex.org/W4313196348","https://openalex.org/W4385555993","https://openalex.org/W4389667767","https://openalex.org/W6802960471"],"related_works":["https://openalex.org/W2529580585","https://openalex.org/W2804584315","https://openalex.org/W2035558540","https://openalex.org/W2167757589","https://openalex.org/W2332110715","https://openalex.org/W2988011613","https://openalex.org/W2806036343","https://openalex.org/W2079653927","https://openalex.org/W142482926","https://openalex.org/W2952275641"],"abstract_inverted_index":{"Long-term":[0],"human":[1,36,150,178,184,212],"motion":[2,24,68,79,91,185],"prediction":[3,34,92,191],"(LHMP)":[4],"is":[5,18,38,122],"essential":[6],"for":[7,20,45,88,183],"safely":[8],"operating":[9],"autonomous":[10],"robots":[11],"and":[12,29,49,74,83,104,131,135,161,169,180,206],"vehicles":[13],"in":[14,80,108,177],"populated":[15],"environments.":[16],"It":[17],"fundamental":[19],"various":[21],"applications,":[22],"including":[23],"planning,":[25],"tracking,":[26],"human-robot":[27],"interaction":[28],"safety":[30],"monitoring.":[31],"However,":[32],"accurate":[33],"of":[35,54,62,78,98,193,211],"trajectories":[37],"challenging":[39],"due":[40],"to":[41,106,141],"complex":[42],"factors,":[43],"including,":[44],"example,":[46],"social":[47],"norms":[48],"environmental":[50],"conditions.":[51],"The":[52],"influence":[53],"such":[55],"factors":[56],"can":[57,85],"be":[58,86],"captured":[59],"through":[60,195],"Maps":[61],"Dynamics":[63],"(MoDs),":[64],"which":[65,84,128],"encode":[66],"spatial":[67],"patterns":[69,152,176],"learned":[70],"from":[71],"(possibly":[72],"scattered":[73],"partial)":[75],"past":[76],"observations":[77],"the":[81,96,113,138,147,174,189],"environment":[82],"used":[87],"data-efficient,":[89],"interpretable":[90],"(MoD-LHMP).":[93],"To":[94],"address":[95],"limitations":[97],"prior":[99],"work,":[100],"especially":[101],"regarding":[102],"accuracy":[103],"sensitivity":[105],"anomalies":[107],"long-term":[109],"prediction,":[110],"we":[111],"propose":[112],"Laminar":[114],"Component":[115],"Enhanced":[116],"LHMP":[117,200],"approach":[118,121],"(LaCE-LHMP).":[119],"Our":[120],"inspired":[123],"by":[124],"data-driven":[125],"airflow":[126],"modelling,":[127],"estimates":[129],"laminar":[130,139,155,175],"turbulent":[132,162],"flow":[133,143,156,163],"components":[134,140,164],"uses":[136,181],"predominantly":[137],"make":[142],"predictions.":[144],"Based":[145],"on":[146],"hypothesis":[148],"that":[149],"trajectory":[151],"also":[153],"manifest":[154],"(that":[157,165],"represents":[158],"predictable":[159],"motion)":[160],"reflect":[166],"more":[167,208],"unpredictable":[168],"arbitrary":[170],"motion),":[171],"LaCE-LHMP":[172,194],"extracts":[173],"dynamics":[179],"them":[182],"prediction.":[186],"We":[187],"demonstrate":[188],"superior":[190],"performance":[192],"benchmark":[196],"comparisons":[197],"with":[198],"state-of-the-art":[199],"methods,":[201],"offering":[202],"an":[203],"unconventional":[204],"perspective":[205],"a":[207],"intuitive":[209],"understanding":[210],"movement":[213],"patterns.":[214]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
