Thesis/Dissertations

Thesis/Dissertations


[T22] Jinwoo Lee, Adaptive point-wise metric design for LiDAR scan matching using deep neural networks, Master thesis, 2026.02.

[T21] Jiwoo Kim, Doppler correspondence: outlier-robust correspondence estimation based on doppler velocity, Master thesis, 2026.02.

[T20] Hyoungho Park, Semantic-GSL: a semantic-aware vision-language model framework for gas source localization in unknown indoor environments, Master thesis, 2026.02.

[T19] Woojae Shin, Vision-based autonomous drone landing on highly dynamic moving platforms via deep reinforcement learning, Master thesis, 2025.08.

[T18] Meraj Mammadov, Learning end-to-end perception-aware policies for UAV collision avoidance in dynamic environments, Master thesis, 2025.08.

[T17] Junhee Lee, Robust hazardous gas source estimation and search using deep reinforcement learning in turbulent environments, Master thesis, 2025.08.

[T16] Minwoo Kim, Learning-based visual navigation for drones: generalization, sample-efficiency and sim-to-real gap, PhD thesis, 2025.02.

[T15] Seonguk Bae, Efficient Direct Voxel-Based Viewpoint Planning in 3D Reconstruction for UAVs, Master thesis, 2025.02.

[T14] Yeongho Song, Towards Safe and Efficient Distributed Flocking Control of Multi-Agent Systems: Strategies and Analysis, PhD thesis, 2023.08.

[T13] Gangik Cho, Autonomous landing of a UAV on a moving platform using image based visual servoing, PhD thesis, 2023.08.

[T12] Minkyu Park, Autonomous Hazardous Gas Source Search and Estimation Strategies of Mobile Sensors, PhD thesis, 2023.02.

[T11] Heejung Shin, Fast Monocular Depth Estimation with Neural Network Compression for Collision Avoidance, Master thesis, 2023.02.

[T10] Phong Nguyễn Ngô, Continuous Sliding Mode Control: Theoretical Frameworks and Applications to Mechanical Systems, PhD thesis, 2022.02.

[T09] Minjae Jung, Heterogeneous Mission Planning of UAVs with Attention-Based Deep Reinforcement Learning, Master thesis, 2022.02.

[T08] Geunsoo Kim, Multi-Agent Deep Reinforcement Learning for Multi-Regional Coverage Path Planning, Master thesis, 2022.02.

[T07] Joowon Choi, Adversarial Swarm Defence Using Multiple Fixed-Wing Unmanned Aerial Vehicles, Master thesis, 2021.08.

[T06] Jinwoo Oh, Communication-Aware Multi-Target Tracking Guidance for Cooperative UAVs with Gimbaled Vision Sensors in Urban Environments, Master thesis, 2021.02.

[T05] Seulbi An, Information-Based Path Planning for Source Term Estimation Using an Unmanned Aerial Vehicle: Algorithms and Experiments, Master thesis, 2021.02.

[T04] Seungho Back, Autonomous Navigation of the UAV on the Trail with Obstacles Avoidance Using Deep Neural Networks, Master thesis, 2020.02.

[T03] Jongyun Kim, Optimal Communication Relay Approach for Mobile Multi-Node Networks in Complex Environment, Master thesis, 2020.02.

[T02] Dongmin Shin, Nonlinear Disturbance Observer Based Path Following for a Small Fixed-Wing UAV, Master thesis, 2019.08.

[T01] Bumsu Park, Autonomous Navigation for Mobile Robots: Machine Learning-Based Techniques for Obstacle Avoidance, Master thesis, 2019.02.