23 citations · 73 across the 4 of their papers we have counts for
4 papers
Indoor Path Planning for an Unmanned Aerial Vehicle via Curriculum Learning
Jongmin Park, Sooyoung Jang, Younghoon Shin
In this study, reinforcement learning was applied to learning two-dimensional path planning including obstacle avoidance by unmanned aerial vehicle (UAV) in an indoor environment.…
Neural Network-Based Ranging with LTE Channel Impulse Response for Localization in Indoor Environments
Halim Lee, Ali A. Abdallah, Jongmin Park +2
A neural network (NN)-based approach for indoor localization via cellular long-term evolution (LTE) signals is proposed. The approach estimates, from the channel impulse response (…
Effect of Outlier Removal from Temporal ASF Corrections on Multichain Loran Positioning Accuracy
Jongmin Park, Pyo-Woong Son, Woohyun Kim +2
The widely used global navigation satellite systems (GNSSs) are vulnerable to radio frequency interference (RFI). Long-range navigation (Loran), a terrestrial navigation system, ca…
Motion Planning by Reinforcement Learning for an Unmanned Aerial Vehicle in Virtual Open Space with Static Obstacles
Sanghyun Kim, Jongmin Park, Jae-Kwan Yun +1
In this study, we applied reinforcement learning based on the proximal policy optimization algorithm to perform motion planning for an unmanned aerial vehicle (UAV) in an open spac…