TrackIO: Tracking First Responders Inside-Out
summary
TrackIO localizes first responders from outside using UAV-mounted UWB radios and a real prototype (DJI drone + Raspberry Pi + UWB beacons) that feeds a real-time dashboard; it reports median errors of about 1–1.5 m for static and 2–2.5 m for mobile nodes. Key techniques are velocity-aware multilateration with adaptive aperture resets (detecting turns via solver residuals) and modified UWB multi-hop ranging to reach deep indoors; experiments cover ~1,300 m² and run in real time.
AI-written summary · about
chapters (11)
- 0:00Intro
- 0:54Emergency Responders Getting Entrapped
- 2:31Tracking Personnel Indoors is Challenging
- 4:30Wireless Positioning in a Nutshell
- 5:39Multilateration Performance
- 10:25Design Challenges
- 11:42Node Mobility: Solve for Velocity
- 12:43Tackling Turns: Adaptive Aperture
- 13:19Reliability of Turn Detection
- 14:08Limited Reachability: Multihop Ranging
- 16:34Sallent Points
related talks
17mPassengers' Safety Matters: Experiences of Deploying a Large-Scale Indoor Delivery...
52mFlying services with a drone
09mWIP: Hijacking Attacks on UAV Follow-Me Systems in Realistic Scenarios
30mUAV-based Person Detection and Geolocation for Search and Rescue
44mThe New Mash Up Platform
09mNot All Who Wander Are Lost: A Localization-Free System for In-The-Wild Mobile Robot Deployments
16mThird-Person Piloting: Increasing Situational Awareness using a Spatially Coupled Second Drone
28mGame of Drones