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Philip Ferguson

Publications -  10
Citations -  5642

Philip Ferguson is an academic researcher. The author has contributed to research in topics: Computer science & Engineering. The author has an hindex of 1, co-authored 1 publications receiving 5638 citations.

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Journal ArticleDOI

Kinetics and kinematics for translational motions in microgravity during parabolic flight.

TL;DR: The goal is to combine kinetic and kinematic data to examine translational motions during microgravity adaptations to encourage fine-control motions as these reduce the risk of injury and increase controllability.
Journal ArticleDOI

Feasibility of Gathering Resident Space Object Range Measurements Using In-Orbit Observers

TL;DR: In this article , the authors examined the feasibility of leveraging several existing sensor technologies to aid in identifying and tracking resident space objects, including Synthetic Aperture Radars (SARs), laser rangefinders, Light Detection and Ranging (LIDAR) devices, and laser communication devices.

Testing satellite control systems with drones

TL;DR: In space, it is usually not possible to repair equipment when things go wrong as mentioned in this paper , which makes spacecraft engineers turn their attention to reliability in an attempt to avoid failures altogether, and building a reliable system starts with a robust design, incorporates proven parts, and involves a lot of testing.
Proceedings ArticleDOI

Design and Implementation of a Low-Cost Local Beacon System for GPS-Denied Environments

TL;DR: In this paper , a low-cost beacon system that provides position information required for navigation in GNSS-denied environments is proposed. But this system is not suitable for outdoor applications.
Proceedings ArticleDOI

Drone-Based Cable-Suspended Payload Tracking and Estimation Using Simulated LiDAR Measurements and an Extended Kalman Filter

TL;DR: In this paper , a Vicon motion capture system is used to measure the position of the drone and simulated Light Detection and Ranging (LiDAR) measurements are simulated using a LiDAR noise model developed from experimental results using the Velodyne VLP-16 sensor.