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Hyondong Oh

Korea Advanced Institute of Science and Technology · Engineering

About the Lab

Professor Hyondong Oh's research lab specializes in autonomous unmanned systems, with a focus on multi-UAV coordination, intelligent search and tracking algorithms, and environmental sensing for emergency response. The lab develops advanced control strategies—such as vector field guidance, model predictive control, and road-map-assisted tracking—for efficient and robust operation in complex environments. Key research directions include standoff tracking of moving targets, source localization using sparse and noisy sensory cues, and path planning for aerial and ground vehicles under real-world constraints. The lab integrates principles from control theory, estimation, and optimization to enable autonomous systems to operate effectively in dynamic and uncertain scenarios.

multi-UAV coordinationstandoff trackingsource localizationmodel predictive controlpath planning

Research Overview

Papers
161
Total Citations
3,526
Papers (5y)
60
Primary Field
Engineering

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
60total
2022
2023
2024
2025
2026
Citations per year (5y)
837total
20222023202420252026

Selected Papers

15
1
Article|446 citations·2022
Exploration in deep reinforcement learning: A survey
Paweł Ładosz, Lilian Weng, Minwoo Kim, Hyondong Oh
SJR Q1Information FusionOA
Artificial IntelligenceComputer Science
2
Review|345 citations·2016
A review of source term estimation methods for atmospheric dispersion events using static or mobile sensors
Michael Hutchinson, Hyondong Oh, Wen‐Hua Chen
SJR Q1Information FusionOA

Understanding atmospheric transport and dispersal events has an important role in a range of scenarios. Of particular importance is aiding in emergency response after an intentional or accidental chemical, biological or radiological (CBR) release. In the event of a CBR release, it is desirable to know the current and future spatial extent of the contaminant as well as its location in order to aid decision makers in emergency response. Many dispersion phenomena may be opaque or clear, thus monito

Insect ScienceAgricultural and Biological Sciences
3
Review|197 citations·2017
Bio-inspired self-organising multi-robot pattern formation: A review
Hyondong Oh, Ataollah Ramezan Shirazi, Chaoli Sun, Yaochu Jin
SJR Q1Robotics and Autonomous Systems
Mechanical EngineeringEngineering
4
Article|122 citations·2015
Coordinated standoff tracking of moving target groups using multiple UAVs
Hyondong Oh, Seungkeun Kim, Hyo‐Sang Shin, Antonios Tsourdos
SJR Q1IEEE Transactions on Aerospace and Electronic SystemsOA

This paper presents a methodology for coordinated standoff tracking of moving target groups using multiple unmanned aerial vehicles (UAVs). The vector field guidance approach for a single UAV is first applied to track a group of targets by defining a variable standoff orbit to be followed, which can keep all targets within the field-of-view of the UAV. A new feedforward term is included in the guidance command considering variable standoff distance, and the convergence of the vector field to the

Aerospace EngineeringEngineering
5
Article|97 citations·2017
Entrotaxis as a strategy for autonomous search and source reconstruction in turbulent conditions
Michael Hutchinson, Hyondong Oh, Wen‐Hua Chen
SJR Q1Information FusionOA

This paper proposes a strategy for performing an efficient autonomous search to find an emitting source of sporadic cues of noisy information. We focus on the search for a source of unknown strength, releasing particles into the atmosphere where turbulence can cause irregular gradients and intermittent patches of sensory cues. Bayesian inference, implemented via the sequential Monte Carlo method, is used to update posterior probability distributions of the source location and strength in respons

Insect ScienceAgricultural and Biological Sciences
6
Article|92 citations·2014
Coordinated trajectory planning for efficient communication relay using multiple UAVs
Seungkeun Kim, Hyondong Oh, Jinyoung Suk, Antonios Tsourdos
SJR Q1Control Engineering PracticeOA
Computer Networks and CommunicationsComputer Science
7
Article|68 citations·2012
Rendezvous and Standoff Target Tracking Guidance Using Differential Geometry
Hyondong Oh, Seungkeun Kim, Hyo‐Sang Shin, Brian White, Antonios Tsourdos, C.A. Rabbath
SJR Q1Journal of Intelligent & Robotic SystemsOA
Computer Networks and CommunicationsComputer Science
8
Article|62 citations·2019
Cooperative information-driven source search and estimation for multiple agents
Minkyu Park, Hyondong Oh
SJR Q1Information Fusion
Insect ScienceAgricultural and Biological Sciences
9
Article|62 citations·2013
Decentralised Standoff Tracking of Moving Targets Using Adaptive Sliding Mode Control for UAVs
Hyondong Oh, Seungkeun Kim, Antonios Tsourdos, Brian White
SJR Q1Journal of Intelligent & Robotic SystemsOA
Aerospace EngineeringEngineering
10
Article|58 citations·2020
Autonomous UAV Trail Navigation with Obstacle Avoidance Using Deep Neural Networks
Seungho Back, Gangik Cho, Jin‐Woo Oh, Xuan-Toa Tran, Hyondong Oh
SJR Q1Journal of Intelligent & Robotic Systems
Automotive EngineeringEngineering
11
Article|50 citations·2018
Persistent standoff tracking guidance using constrained particle filter for multiple UAVs
Hyondong Oh, Seungkeun Kim
SJR Q1Aerospace Science and TechnologyOA
Artificial IntelligenceComputer Science
12
Article|45 citations·2022
Towards monocular vision-based autonomous flight through deep reinforcement learning
Minwoo Kim, Jong‐Yun Kim, Minjae Jung, Hyondong Oh
SJR Q1Expert Systems with ApplicationsOA
Computer Vision and Pattern RecognitionComputer Science
13
Article|44 citations·2014
Coordinated Standoff Tracking Using Path Shaping for Multiple UAVs
Hyondong Oh, Dario Turchi, Seungkeun Kim, Antonios Tsourdos, Lorenzo Pollini, Brian White
SJR Q1IEEE Transactions on Aerospace and Electronic SystemsOA

A coordinated standoff target tracking strategy using path shaping for multiple unmanned aerial vehicles (UAVs) is presented. In performing a tracking mission of a ground target of interest, UAVs are to approach a target and to keep a standoff distance from it with a prescribed inter-vehicle angular separation around the target in order to track it while acquiring accurate target information. Since fixed-wing UAVs without hovering capability fly efficiently at a nominal airspeed, it is desirable

Computer Vision and Pattern RecognitionComputer Science
14
Article|44 citations·2012
Coordinated road-network search route planning by a team of UAVs
Hyondong Oh, Seungkeun Kim, Antonios Tsourdos, Brian White
SJR Q1International Journal of Systems ScienceOA

This paper presents a road-network search route planning algorithm by which multiple autonomous vehicles are able to efficiently visit every road identified in the map in the context of the Chinese postman problem. Since the typical Chinese postman algorithm can be applied solely to a connected road-network in which ground vehicles are involved, it is modified to be used for a general type of road map including unconnected roads as well as the operational and physical constraints of unmanned aer

Computer Vision and Pattern RecognitionComputer Science
15
Article|42 citations·2022
Autonomous ship deck landing of a quadrotor UAV using feed-forward image-based visual servoing
Gangik Cho, Joonwon Choi, Geunsik Bae, Hyondong Oh
SJR Q1Aerospace Science and Technology
Computer Vision and Pattern RecognitionComputer Science

Research Areas

Aerospace EngineeringControl and Systems EngineeringComputer Networks and CommunicationsComputer Vision and Pattern RecognitionArtificial IntelligenceInsect Science

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