@article{ART003212700},
author={Woon-Yong Kim},
title={Development of an AI-Based Velocity Control Learning Pipeline for Autonomous Drone Navigation},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2025},
volume={30},
number={6},
pages={101-108},
doi={10.9708/jksci.2025.30.06.101}
TY - JOUR
AU - Woon-Yong Kim
TI - Development of an AI-Based Velocity Control Learning Pipeline for Autonomous Drone Navigation
JO - Journal of The Korea Society of Computer and Information
PY - 2025
VL - 30
IS - 6
PB - The Korean Society Of Computer And Information
SP - 101
EP - 108
SN - 1598-849X
AB - In this paper, we propose an AI-based learning pipeline for velocity-based autonomous drone navigation. The proposed method utilizes a supervised learning approach that integrates the drone's current state information (velocity and orientation) with future path data to predict velocity commands in real-time. The hybrid LSTM-based model classifies diverse flight patterns such as hovering, straight flight, turning, ascending/descending, obstacle avoidance, and takeoff/landing, generating adaptive velocity commands suitable for different flight scenarios. Consequently, this method enables smooth and efficient path following in complex and dynamic environments. Evaluated within ROS 2 and PX4 simulation environments, the proposed model demonstrates excellent performance metrics, including RMSE of 0.0347, MAE of 0.0225, and an R² of 98.67%. By recognizing various drone flight modes and dynamically calculating appropriate velocities based on current position and speed, the method ensures natural trajectory control and responsive maneuverability.
KW - Autonomous drone;velocity-based control;AI controller;learning-based model;path tracking;ROS 2;PX4
DO - 10.9708/jksci.2025.30.06.101
ER -
Woon-Yong Kim. (2025). Development of an AI-Based Velocity Control Learning Pipeline for Autonomous Drone Navigation. Journal of The Korea Society of Computer and Information, 30(6), 101-108.
Woon-Yong Kim. 2025, "Development of an AI-Based Velocity Control Learning Pipeline for Autonomous Drone Navigation", Journal of The Korea Society of Computer and Information, vol.30, no.6 pp.101-108. Available from: doi:10.9708/jksci.2025.30.06.101
Woon-Yong Kim "Development of an AI-Based Velocity Control Learning Pipeline for Autonomous Drone Navigation" Journal of The Korea Society of Computer and Information 30.6 pp.101-108 (2025) : 101.
Woon-Yong Kim. Development of an AI-Based Velocity Control Learning Pipeline for Autonomous Drone Navigation. 2025; 30(6), 101-108. Available from: doi:10.9708/jksci.2025.30.06.101
Woon-Yong Kim. "Development of an AI-Based Velocity Control Learning Pipeline for Autonomous Drone Navigation" Journal of The Korea Society of Computer and Information 30, no.6 (2025) : 101-108.doi: 10.9708/jksci.2025.30.06.101
Woon-Yong Kim. Development of an AI-Based Velocity Control Learning Pipeline for Autonomous Drone Navigation. Journal of The Korea Society of Computer and Information, 30(6), 101-108. doi: 10.9708/jksci.2025.30.06.101
Woon-Yong Kim. Development of an AI-Based Velocity Control Learning Pipeline for Autonomous Drone Navigation. Journal of The Korea Society of Computer and Information. 2025; 30(6) 101-108. doi: 10.9708/jksci.2025.30.06.101
Woon-Yong Kim. Development of an AI-Based Velocity Control Learning Pipeline for Autonomous Drone Navigation. 2025; 30(6), 101-108. Available from: doi:10.9708/jksci.2025.30.06.101
Woon-Yong Kim. "Development of an AI-Based Velocity Control Learning Pipeline for Autonomous Drone Navigation" Journal of The Korea Society of Computer and Information 30, no.6 (2025) : 101-108.doi: 10.9708/jksci.2025.30.06.101
