{"681586":{"#nid":"681586","#data":{"type":"event","title":"Ph.D. Dissertation Defense - Fan Jiang","body":[{"value":"\u003Cdiv\u003E\u003Cstrong\u003ETitle:\u003C\/strong\u003E\u0026nbsp;Inertially-Aided Navigation with Ultra-Wideband Wireless Ranging\u003C\/div\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u0026nbsp;\u003C\/div\u003E\u003Cdiv\u003E\u003Cstrong\u003ECommittee\u003C\/strong\u003E\u003C\/div\u003E\u003Cdiv\u003EDr. Ashutosh Dhekne (Advisor), School of Interactive Computing, Georgia Tech\u003C\/div\u003E\u003Cdiv\u003EDr. Frank Dellaert (Advisor), School of Interactive Computing, Georgia Tech\u003C\/div\u003E\u003Cdiv\u003EDr. Seth Hutchinson, Khoury College of Computer Sciences, Northeastern University\u003C\/div\u003E\u003Cdiv\u003EDr. Lu Gan, Daniel Guggenheim School of Aerospace Engineering, Georgia Tech\u003C\/div\u003E\u003Cdiv\u003EDr. Deepak Vasisht, Siebel School of Computing and Data Science, University of Illinois Urbana-Champaign\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003ERadio-based sensing offers compelling advantages over optical systems, particularly in challenging environments where visual solutions face limitations. However, their deployment in real applications was limited by effects such as non-line-of-sight (NLOS) propagation. This dissertation investigates the integration of Ultra-Wideband (UWB) range sensing with inertial measurements for robust localization and navigation. Despite UWB\u0027s one-dimensional measurement constraint compared to rich visual data, we demonstrate that strategic fusion with inertial sensors can robustly achieve centimeter-level accuracy. The thesis presents three significant new contributions: (1) a comprehensive framework for indoor localization using low-power UWB-IMU fusion; (2) a novel motion capture system achieving competitive accuracy to visual systems for AR\/VR applications; and (3) self-calibrated localization methods for UWB-IMU sensor networks in unknown environments. Through theoretical analysis and experimental validation, we provide solutions to fundamental challenges in sensor calibration, optimal data fusion, and real-time implementation, establishing a foundation for radio-based localization in diverse applications where reliability and precision are paramount.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Inertially-Aided Navigation with Ultra-Wideband Wireless Ranging"}],"uid":"28475","created_gmt":"2025-04-03 21:46:54","changed_gmt":"2025-04-03 21:48:31","author":"Daniela Staiculescu","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-04-16T16:00:00-04:00","event_time_end":"2025-04-16T18:00:00-04:00","event_time_end_last":"2025-04-16T18:00:00-04:00","gmt_time_start":"2025-04-16 20:00:00","gmt_time_end":"2025-04-16 22:00:00","gmt_time_end_last":"2025-04-16 22:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Online","extras":[],"related_links":[{"url":"https:\/\/teams.microsoft.com\/l\/meetup-join\/19%3ameeting_OTRiOWIwMWEtNWExNi00MDhhLThjNDgtYTYyNDVjZDllNzc0%40thread.v2\/0?context=%7b%22Tid%22%3a%22482198bb-ae7b-4b25-8b7a-6d7f32faa083%22%2c%22Oid%22%3a%228fad346c-1913-47d1-b9b0-9dcdf8ce54e0%22%7d","title":"Microsoft Teams Meeting link"}],"groups":[{"id":"434381","name":"ECE Ph.D. Dissertation Defenses"}],"categories":[],"keywords":[{"id":"100811","name":"Phd Defense"},{"id":"1808","name":"graduate students"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1788","name":"Other\/Miscellaneous"}],"invited_audience":[{"id":"78771","name":"Public"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}}}