Bandarupalli, A., Swarup, D., Weston, N., and Chaterji, S. (2021). Persistent Airborne Surveillance using Semi-Autonomous Drone swarms. Micro Aerial Vehicle Networks, Systems, and Applications (DroNet 2021), co-located with MobiSys 2021.
Students
Akhil Sai, Dhruv Swarup
Abstract
Persistent surveillance is an essential tool in many damage prevention
and mitigation scenarios. Existing approaches to conduct
surveillance over an area either require deploying static equipment
on the ground or are expensive and have a high ecological footprint.
The era of commercial drones has facilitated the development of
lightweight, agile vehicles that can carry a wide variety of payloads
with a very low ecological footprint. In this paper, we present a
new airborne surveillance system using drone swarms. We explore
the concept of Swarm Utility and present a mobility model for
persistent surveillance that achieves maximum utility while being
energy efficient. We program the drones in the swarm to follow
trajectories defined by the model, eliminating the need to control
the drones manually. Additionally, we augment our system with an
object detection framework that runs on accumulated video feed
streamed by the swarm to detect objects of interest in the area with
high accuracy.
Drones
View more: https://schaterji.io/testbed/drones.html