Explore the opportunities and challenges of acoustic perception in IoT through this research seminar. Delve into hardware-software building blocks enabling new capabilities for acoustic devices, including a SWaP-friendly situational awareness system for aerial robots. Examine potential security and privacy risks associated with acoustic-IoT environments. Gain insights into ongoing and future projects aimed at strengthening the convergence of sensing, computing, and communications in IoT, cyber-physical systems, and healthcare technologies. Learn from Nirupam Roy, Assistant Professor in Computer Science at the University of Maryland, College Park, as he shares his research on wireless networking, mobile computing, and embedded systems with applications to IoT and cyber-physical systems.
Overview
Syllabus
Introduction
Mode of Work
Project Selection
Enabling SelfDefense in Small Drones
Drones are no longer recreational toys
Australian wildfire drones
Drones as delivery services
The army is ready
Drones are getting serious
Robots are ready enough
Defense mechanism
Form factor
Limited power
Limited computational resources
Situational Awareness
Dynamic Object Detection
Doppler Dodge
Doppler Effect
Radial Angle
Verification
Radial drift
Two methods
Basic approach
Heat vs Mess
Frequency Translation
Evaluation
Optimization
Questions
Acoustic Its Dropping
Census 2020 Paper
Autonomous Systems
Laser Microphone
Threat Model
Low SNR
Low Sample Rate
Taught by
Paul G. Allen School
