Original title: Enhancing UAV Trajectory and Communications Through Vision-Inertial Tracking
Abdallah S. Ghazy, Hussein A. Ammar, James Bayes, Francois Chan · September 2026
Drones can serve as flying communication towers, but flying and sending signals in areas without GPS is difficult. Flying uses up batteries quickly, and drones can lose connection or expose private data. To fix this, researchers created a system called VIT-UAVCom. It is the first system to use cameras and motion sensors directly on the drone to track its position for communication. The system calculates drone flight paths while accounting for sensor noise and tracking errors. It jointly plans the flight path and signal controls to save battery, maintain user coverage, and protect data security. Tests showed this approach increased energy efficiency by 144% compared to a standard benchmark method. To run quickly, the team tested three search methods, finding that a binary search cut calculation time by approximately 50% compared to a linear search.
Imagine hiking in a dense forest without a map or compass. Normally, you might use a GPS on your phone, but here the signal is lost. You have to rely on watching landmarks and feeling the direction you're walking. This is similar to how the UAV system works: it uses cameras like eyes to see landmarks and sensors like a sense of balance to navigate when GPS isn't available, then plans the best route to save energy and stay connected.
For drones operating without GPS, like in emergencies or remote areas, this makes communication more reliable and uses less battery, extending mission time and improving safety.
The abstract indicates results are from numerical simulations, so real-world performance is not proven; it also assumes specific noise and inaccuracies that might not cover all variations.
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Enhancing UAV Trajectory and Communications Through Vision-Inertial Tracking — Abdallah S. Ghazy, Hussein A. Ammar, James Bayes et al.
Abstract licence: CC0
Explanation generated by Synthesis from the abstract — it is not the original paper. This is a preprint, so it hasn't necessarily been peer reviewed.