{"id":"https://openalex.org/W4405014901","doi":"https://doi.org/10.1145/3636534.3694721","title":"EventTracker: 3D Localization and Tracking of High-Speed Object with Event and Depth Fusion","display_name":"EventTracker: 3D Localization and Tracking of High-Speed Object with Event and Depth Fusion","publication_year":2024,"publication_date":"2024-12-04","ids":{"openalex":"https://openalex.org/W4405014901","doi":"https://doi.org/10.1145/3636534.3694721"},"language":"en","primary_location":{"id":"doi:10.1145/3636534.3694721","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3636534.3694721","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3636534.3694721","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th Annual International Conference on Mobile Computing and Networking","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3636534.3694721","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102837160","display_name":"Xinyu Luo","orcid":"https://orcid.org/0009-0001-8212-321X"},"institutions":[{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xinyu Luo","raw_affiliation_strings":["Shenzhen International Graduate School, Tsinghua University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0009-0001-8212-321X","affiliations":[{"raw_affiliation_string":"Shenzhen International Graduate School, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046498809","display_name":"Haoyang Wang","orcid":"https://orcid.org/0000-0002-1392-0362"},"institutions":[{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoyang Wang","raw_affiliation_strings":["Shenzhen International Graduate School, Tsinghua University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-1392-0362","affiliations":[{"raw_affiliation_string":"Shenzhen International Graduate School, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089189331","display_name":"Ciyu Ruan","orcid":null},"institutions":[{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ciyu Ruan","raw_affiliation_strings":["Shenzhen International Graduate School, Tsinghua University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0009-0007-5848-5054","affiliations":[{"raw_affiliation_string":"Shenzhen International Graduate School, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023876318","display_name":"Chenxin Liang","orcid":"https://orcid.org/0009-0000-0699-6628"},"institutions":[{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenxin Liang","raw_affiliation_strings":["Shenzhen International Graduate School, Tsinghua University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0009-0000-0699-6628","affiliations":[{"raw_affiliation_string":"Shenzhen International Graduate School, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014880925","display_name":"Jingao Xu","orcid":"https://orcid.org/0000-0002-8347-2657"},"institutions":[{"id":"https://openalex.org/I97750245","display_name":"Software (Spain)","ror":"https://ror.org/02ethns06","country_code":"ES","type":"company","lineage":["https://openalex.org/I4210087817","https://openalex.org/I97750245"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN","ES"],"is_corresponding":false,"raw_author_name":"Jingao Xu","raw_affiliation_strings":["School of Software, Tsinghua University, Beijing, CN"],"raw_orcid":"https://orcid.org/0000-0002-8347-2657","affiliations":[{"raw_affiliation_string":"School of Software, Tsinghua University, Beijing, CN","institution_ids":["https://openalex.org/I99065089","https://openalex.org/I97750245"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016095713","display_name":"Xinlei Chen","orcid":"https://orcid.org/0000-0001-8271-5023"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xinlei Chen","raw_affiliation_strings":["Shenzhen International Graduate School, Tsinghua University Pengcheng Laboratory RISC-V International Open Source Laboratory, Shenzhen, CN"],"raw_orcid":"https://orcid.org/0000-0001-8271-5023","affiliations":[{"raw_affiliation_string":"Shenzhen International Graduate School, Tsinghua University Pengcheng Laboratory RISC-V International Open Source Laboratory, Shenzhen, CN","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5102837160"],"corresponding_institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":4.0983,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.94450606,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1974","last_page":"1979"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9951000213623047,"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":0.9951000213623047,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9854999780654907,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.982200026512146,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/fusion","display_name":"Fusion","score":0.6538468599319458},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6098561882972717},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.6082053184509277},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6023325324058533},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5884475708007812},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5585731863975525},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5532483458518982},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.4220125675201416},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10258880257606506},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.10103976726531982}],"concepts":[{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.6538468599319458},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6098561882972717},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.6082053184509277},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6023325324058533},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5884475708007812},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5585731863975525},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5532483458518982},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.4220125675201416},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10258880257606506},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.10103976726531982},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3636534.3694721","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3636534.3694721","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3636534.3694721","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th Annual International Conference on Mobile Computing and Networking","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3636534.3694721","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3636534.3694721","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3636534.3694721","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th Annual International Conference on Mobile Computing and Networking","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4405014901.pdf"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W2783185291","https://openalex.org/W2899424402","https://openalex.org/W2998281665","https://openalex.org/W3011524659","https://openalex.org/W3023108580","https://openalex.org/W3104104643","https://openalex.org/W3122190729","https://openalex.org/W4205954621","https://openalex.org/W4221145923","https://openalex.org/W4226051885","https://openalex.org/W4285275922","https://openalex.org/W4306252940","https://openalex.org/W4366967222","https://openalex.org/W4366967993","https://openalex.org/W4387212637","https://openalex.org/W4388755205","https://openalex.org/W4388858786","https://openalex.org/W4391979608","https://openalex.org/W4392866731","https://openalex.org/W4394862905","https://openalex.org/W4399324146","https://openalex.org/W4399584048","https://openalex.org/W4399800941","https://openalex.org/W4401508040","https://openalex.org/W4401508697","https://openalex.org/W6810879400","https://openalex.org/W6880580996"],"related_works":["https://openalex.org/W2084086966","https://openalex.org/W4285271403","https://openalex.org/W2542007731","https://openalex.org/W2968379562","https://openalex.org/W2091015105","https://openalex.org/W4388689193","https://openalex.org/W2110899030","https://openalex.org/W29633852","https://openalex.org/W2985362983","https://openalex.org/W4327670844"],"abstract_inverted_index":{"Accurately":[0],"localizing":[1],"high-speed":[2,81],"dynamic":[3,82,121],"objects":[4],"in":[5,120,126],"3D":[6,75],"space":[7],"with":[8],"low":[9],"latency":[10],"is":[11],"crucial":[12],"for":[13,39,71,94],"various":[14],"robotic":[15],"applications.":[16],"Current":[17],"methods":[18],"face":[19],"challenges":[20],"due":[21],"to":[22,130],"extended":[23],"exposure":[24],"times":[25],"and":[26,34,44,68,73,77,90,97,102],"limited":[27],"sensor":[28,115],"resolution,":[29],"hindering":[30],"precise":[31,72],"object":[32,88],"detection":[33,89,101],"localization.":[35],"Event":[36],"cameras,":[37],"known":[38],"their":[40],"high":[41],"temporal":[42],"resolution":[43],"asynchronous":[45],"nature,":[46],"offer":[47],"a":[48,62,86,106],"promising":[49],"solution.":[50],"To":[51],"leverage":[52],"the":[53,56,80],"potential":[54],"of":[55,79],"event":[57,67,96],"camera,":[58],"we":[59],"propose":[60],"EventTracker,":[61],"novel":[63],"framework":[64],"that":[65],"integrates":[66],"depth":[69,98],"measurements":[70],"low-latency":[74],"localization":[76,127],"tracking":[78,91],"object.":[83],"EventTracker":[84],"incorporates":[85],"collaborative":[87],"algorithm":[92,109],"optimized":[93],"both":[95],"data,":[99],"overcoming":[100],"registration":[103],"challenges.":[104],"Additionally,":[105],"graph-instructed":[107],"optimization":[108],"enhances":[110],"accuracy":[111],"by":[112],"fusing":[113],"heterogeneous":[114],"data":[116],"effectively.":[117],"Experimental":[118],"evaluation":[119],"environments":[122],"demonstrates":[123],"significant":[124],"improvements":[125],"performance":[128],"compared":[129],"baseline":[131],"methods.":[132]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}