{"id":"https://openalex.org/W7130616713","doi":"https://doi.org/10.1109/ssrr68451.2025.11391323","title":"Intention-Aware Multi-Target Human Tracking in Sparse Heterogeneous Sensor Networks for Monitoring Outdoor Facilities","display_name":"Intention-Aware Multi-Target Human Tracking in Sparse Heterogeneous Sensor Networks for Monitoring Outdoor Facilities","publication_year":2025,"publication_date":"2025-10-29","ids":{"openalex":"https://openalex.org/W7130616713","doi":"https://doi.org/10.1109/ssrr68451.2025.11391323"},"language":"en","primary_location":{"id":"doi:10.1109/ssrr68451.2025.11391323","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssrr68451.2025.11391323","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Symposium on Safety Security Rescue Robotics (SSRR)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5076581380","display_name":"Markus Kramer","orcid":null},"institutions":[{"id":"https://openalex.org/I31512782","display_name":"Technische Universit\u00e4t Darmstadt","ror":"https://ror.org/05n911h24","country_code":"DE","type":"education","lineage":["https://openalex.org/I31512782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Markus Kramer","raw_affiliation_strings":["Technical University of Darmstadt,SIM Group,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University of Darmstadt,SIM Group,Germany","institution_ids":["https://openalex.org/I31512782"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115001946","display_name":"Jonathan Lichtenfeld","orcid":null},"institutions":[{"id":"https://openalex.org/I31512782","display_name":"Technische Universit\u00e4t Darmstadt","ror":"https://ror.org/05n911h24","country_code":"DE","type":"education","lineage":["https://openalex.org/I31512782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jonathan Lichtenfeld","raw_affiliation_strings":["Technical University of Darmstadt,SIM Group,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University of Darmstadt,SIM Group,Germany","institution_ids":["https://openalex.org/I31512782"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034108712","display_name":"Kevin Daun","orcid":null},"institutions":[{"id":"https://openalex.org/I31512782","display_name":"Technische Universit\u00e4t Darmstadt","ror":"https://ror.org/05n911h24","country_code":"DE","type":"education","lineage":["https://openalex.org/I31512782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Kevin Daun","raw_affiliation_strings":["Energy Robotics GmbH,Darmstadt,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Energy Robotics GmbH,Darmstadt,Germany","institution_ids":["https://openalex.org/I31512782"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006783708","display_name":"O. von Stryk","orcid":null},"institutions":[{"id":"https://openalex.org/I31512782","display_name":"Technische Universit\u00e4t Darmstadt","ror":"https://ror.org/05n911h24","country_code":"DE","type":"education","lineage":["https://openalex.org/I31512782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Oskar von Stryk","raw_affiliation_strings":["Technical University of Darmstadt,SIM Group,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University of Darmstadt,SIM Group,Germany","institution_ids":["https://openalex.org/I31512782"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I31512782"],"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":"190","last_page":"195"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.25270000100135803,"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"}},"topics":[{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.25270000100135803,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.21220000088214874,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.06260000169277191,"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/trajectory","display_name":"Trajectory","score":0.6086999773979187},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.59579998254776},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5637999773025513},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.5289000272750854},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5245000123977661},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.5149000287055969},{"id":"https://openalex.org/keywords/data-association","display_name":"Data association","score":0.5019999742507935},{"id":"https://openalex.org/keywords/tracking-system","display_name":"Tracking system","score":0.4099999964237213},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.3806999921798706},{"id":"https://openalex.org/keywords/metric-map","display_name":"Metric map","score":0.35839998722076416}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6754000186920166},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.6086999773979187},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.59579998254776},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5637999773025513},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.5289000272750854},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5245000123977661},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5224999785423279},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.5149000287055969},{"id":"https://openalex.org/C2983325608","wikidata":"https://www.wikidata.org/wiki/Q17084606","display_name":"Data association","level":3,"score":0.5019999742507935},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4514999985694885},{"id":"https://openalex.org/C154586513","wikidata":"https://www.wikidata.org/wiki/Q4420972","display_name":"Tracking system","level":3,"score":0.4099999964237213},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3815999925136566},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3813999891281128},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.3806999921798706},{"id":"https://openalex.org/C145084290","wikidata":"https://www.wikidata.org/wiki/Q2713824","display_name":"Metric map","level":4,"score":0.35839998722076416},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.33959999680519104},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.33899998664855957},{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.3361999988555908},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.33169999718666077},{"id":"https://openalex.org/C93361087","wikidata":"https://www.wikidata.org/wiki/Q4426698","display_name":"Data consistency","level":2,"score":0.33059999346733093},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.30149999260902405},{"id":"https://openalex.org/C86369673","wikidata":"https://www.wikidata.org/wiki/Q1203659","display_name":"Simultaneous localization and mapping","level":4,"score":0.2978000044822693},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.295199990272522},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.2890999913215637},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.28610000014305115},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.2800999879837036},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.26980000734329224},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.2676999866962433},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.2621999979019165},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.2621999979019165},{"id":"https://openalex.org/C84119951","wikidata":"https://www.wikidata.org/wiki/Q3498530","display_name":"Vehicle tracking system","level":3,"score":0.2599000036716461},{"id":"https://openalex.org/C2780898871","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Performance metric","level":2,"score":0.2581000030040741},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.2574999928474426}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ssrr68451.2025.11391323","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssrr68451.2025.11391323","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Symposium on Safety Security Rescue Robotics (SSRR)","raw_type":"proceedings-article"},{"id":"pmh:oai:tubiblio.ulb.tu-darmstadt.de:160218","is_oa":false,"landing_page_url":"http://tubiblio.ulb.tu-darmstadt.de/view/person/Kramer=3AMarkus=3A=3A.html>","pdf_url":null,"source":{"id":"https://openalex.org/S4377196390","display_name":"TUbilio (Technical University of Darmstadt)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I31512782","host_organization_name":"Technische Universit\u00e4t Darmstadt","host_organization_lineage":["https://openalex.org/I31512782"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"Konferenzver\u00f6ffentlichung"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7187874913215637,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321707","display_name":"EWE","ror":"https://ror.org/040gfwf91"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1982925187","https://openalex.org/W1987213840","https://openalex.org/W2024727884","https://openalex.org/W2036544614","https://openalex.org/W2139688603","https://openalex.org/W2167052694","https://openalex.org/W2206835661","https://openalex.org/W2253171278","https://openalex.org/W2295006298","https://openalex.org/W2409556673","https://openalex.org/W2424778531","https://openalex.org/W2532516272","https://openalex.org/W2586899202","https://openalex.org/W2766754708","https://openalex.org/W2891376043","https://openalex.org/W2898963374","https://openalex.org/W2904571432","https://openalex.org/W2963150697","https://openalex.org/W3033920763","https://openalex.org/W3086436251","https://openalex.org/W3132607695","https://openalex.org/W4388249211","https://openalex.org/W4400453648","https://openalex.org/W7125976529"],"related_works":[],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,12,48,78,106],"multi-target":[3],"human":[4,89],"tracking":[5,40,75,134],"framework":[6],"for":[7,132],"outdoor":[8],"facility":[9,108],"monitoring":[10],"using":[11,47,127],"sparse":[13,137],"heterogeneous":[14],"sensor":[15,138],"network":[16],"consisting":[17],"of":[18,88,124],"static":[19],"RGB-D":[20],"cameras":[21],"and":[22,85,95,109],"mobile":[23],"LiDAR-equipped":[24],"security":[25],"ground":[26],"robots.":[27],"In":[28],"contrast":[29],"to":[30,34,64,116],"existing":[31],"approaches":[32],"limited":[33],"short-term":[35],"occlusions,":[36],"our":[37],"method":[38],"maintains":[39],"consistency":[41,135],"during":[42],"extended":[43],"coverage":[44],"gaps":[45],"by":[46],"novel":[49],"motion":[50],"model.":[51],"The":[52,119],"model":[53],"combines":[54],"intention-aware":[55,125],"global":[56],"path":[57],"planning":[58],"with":[59,77],"the":[60,74,83,122],"Social":[61],"Force":[62],"Model":[63],"generate":[65],"realistic":[66],"trajectory":[67,103],"hypotheses.":[68],"Using":[69],"those":[70],"predictions,":[71],"we":[72],"solve":[73],"problem":[76],"particle":[79],"filter":[80],"that":[81],"estimates":[82],"current":[84],"future":[86],"distribution":[87],"positions":[90],"based":[91],"on":[92,101],"movement":[93],"history":[94],"metric":[96,128],"semantic":[97,129],"map":[98,130],"data.":[99],"Experiments":[100],"real":[102],"data":[104,111,131],"from":[105],"commercial":[107],"synthetic":[110],"demonstrate":[112],"superior":[113],"performance":[114],"compared":[115],"several":[117],"baselines.":[118],"results":[120],"show":[121],"effectiveness":[123],"prediction":[126],"maintaining":[133],"in":[136],"environments.":[139]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-02-20T00:00:00"}
