"Generated Realistic Drone Trajectory Dataset"

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Authors: Muhammad Zacky Asy'ari
Cited by: 0

Abstract

"This dataset contains a high-resolution, time-stamped trajectory of a drone following a realistic, smooth path in three-dimensional space. The data was generated as part of research into guidance law algorithms for unmanned aerial vehicles (UAVs). Each record in the dataset provides the drone's position, velocity, acceleration, jerk, and snap in the x, y, and z axes at discrete time intervals. The dataset is suitable for researchers and practitioners working on UAV guidance, control, trajectory optimization, and related fields. It can be used for benchmarking, simulation, algorithm development, and validation of control strategies in realistic flight scenarios."

Fields of Study & Subjects

Aerospace Engineering and Control Systems Guidance and Control Systems Aerospace and Aviation Technology

Publication details

Journal / source
IEEE DataPort
Publication date
3 February 2026
Document type
Dataset