What is it about?
Package delivery drones from different companies, may pose threat of collisions with each other. If they share their trajectories with each other then collisions can be detected in advance and can be avoided by modifying the trajectories. But sharing trajectories also means, sharing the customer addresses - a safety risk. Collection of such delivery information will expose business privacy of the delivery company to it's competitors. We propose a way of sharing information, while preserving privacy, which can solve these problems.
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Photo by Goh Rhy Yan on Unsplash
Why is it important?
Package delivery by drones is starting to replace traditional by-road deliveries, especially for huge majority of items in low-weight category. Restaurant food delivery to grocery to medical supplies and so on, fall under this category. Several competing delivery companies will be using drones for delivery. Crowded cities with tall buildings and no-fly zones lead to complex trajectories, with potential for collisions. Sharing trajectory information with a competing delivery company for the purpose of collision detection, is a concern in terms of exposing customer addresses and area-wise delivery volumes. Hence it is important to find a privacy preserving way of sharing such information.
Perspectives
My first ever work experience turned out to be a research internship that resulted in this paper. It was overwhelming to go through the process but great support from co-authors pulled me through. National Science Foundation's sponsorship made it possible for me to taste how research is done at a University.
Anushka Desai
Bucknell University
Read the Original
This page is a summary of: Privacy-Preserving Collision Detection for Drone-based Aerial Package Delivery using Secure Multi-Party Computation, October 2023, ACM (Association for Computing Machinery),
DOI: 10.1145/3565287.3617631.
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