Faculty Research Profile
Cheolhyeon Kwon
학력
• 2017: Ph.D. in Aeronautics and Astronautics Engineering, Purdue University
• 2013: M.S. in Aeronautics and Astronautics Engineering, Purdue University
• 2010: B.S. in of Mechanical and Aerospace Engineering, Seoul National University
주요 경력
• 2019 - Present : Assistant Professor, UNIST
• 2018 - 2019 : Senior Research Engineer, Hyundai Autonomous Driving Technology Center
• 2017 - 2018 : Visiting Assistant Professor, Purdue University
수상/학회/외부활동
• 2025 : 2nd Place at Roboracer Autonomous Grand Prix (IEEE International Conference on Robotics and Automation, USA)
• 2021 : 3rd Place at Battlefield Autonomous Flight Competition (Agency for Defense Development, South Korea)
• Associate editor of IEEE Transactions on Aerospace and Electronics Systems (IEEE TAES)
• Associate editor of International Journal of Aeronautical and Space Science (IJASS)
• Member of the IEEE Robotics and Automation Society (IEEE RAS)
고신뢰 모빌리티 제어 연구실
High-assurance Mobility Control Lab
저희 연구팀은 사이버-물리 시스템(Cyber-Physical System, CPS)의 모델링, 제어 및 상태 추정 분야를 연구하며, 보안, 안전성, 성능 측면에서 보장된 CPS 운용을 위한 통합 제어 프레임워크 개발에 중점을 두고 있습니다. 이 과정에서 기본 이론과 응용을 모두 다루며, 제어 관점에서 CPS의 동적 거동 분석 및 설계 문제를 체계적으로 탐구합니다. 구체적인 연구분야로는 자율주행 시스템 시나리오 기반 결함 주입 시험 프레임워크, 학습 기반 불확실성 인식 내비게이션, 상호작용 인식 기반 예측 및 계획, 무인항공기(AAM)의 안전성과 신뢰성을 확보하기 위해 고신뢰 자율비행 제어 소프트웨어 개발 등입니다.
Our research group focuses on the modeling, control, and state estimation of Cyber-Physical Systems (CPS), with an emphasis on developing integrated control frameworks that ensure secure, safe, and high-performance CPS operation. In this context, we address both fundamental theory and practical applications, systematically investigating the dynamic behavior and control design of CPS from a control-oriented perspective. Specific research areas include scenario-based fault injection testing frameworks for autonomous driving systems, learning-based uncertainty-aware navigation, interaction-aware prediction and planning, and the development of high-assurance autonomous flight control software to ensure the safety and reliability of Advanced Air Mobility (AAM) vehicles.
Our research group focuses on the modeling, control, and state estimation of Cyber-Physical Systems (CPS), with an emphasis on developing integrated control frameworks that ensure secure, safe, and high-performance CPS operation. In this context, we address both fundamental theory and practical applications, systematically investigating the dynamic behavior and control design of CPS from a control-oriented perspective. Specific research areas include scenario-based fault injection testing frameworks for autonomous driving systems, learning-based uncertainty-aware navigation, interaction-aware prediction and planning, and the development of high-assurance autonomous flight control software to ensure the safety and reliability of Advanced Air Mobility (AAM) vehicles.
연구분야
사이버-물리 시스템, 지능형 및 높은 보증 자율성, 네트워크로 연결된 다중 에이전트 시스템, 고장 허용제어, 계획, 예측
Cyber-Physical System(CPS), Intelligent and High Assurance Autonomy, Networked Multi-Agent Systems (MAS), Fault Tolerant Control(FTC)
연구 희망분야
자율주행시스템의 인지, 판단, 제어 알고리즘, 지속적 S/W&H/W 개발 및 통합 환경, 테스트 자동화 / Perception, Planning, Decision Making, Control, Continuous S/W and H/W integration, Full-stack Autonomous Driving, Test Automation
Perception, Planning, Decision Making, Control, Continuous S/W and H/W integration, Full-stack Autonomous Driving, Test Automation
연구주제
사이버 물리 시스템, 고장 허용 제어, 고정밀 지도, 위치추정, 인지 판단, 경로 계획, 제어, 무인 항공 시스템, 자율주행, 센서 융합
Cyber-Physical System(CPS), Fault Tolerant Control(FTC), HD-Map, Localization, Perception, Motion/Route/Behavior Planning, Control, UAS(unmanned aircraft system), Autonomous driving, Sensor fusion
Cyber-Physical System(CPS), Fault Tolerant Control(FTC), HD-Map, Localization, Perception, Motion/Route/Behavior Planning, Control, UAS(unmanned aircraft system), Autonomous driving, Sensor fusion
국가연구개발사업 기술 분류체계
국가과학기술표준분류
EA. 기계 > EA09. 자동차·철도차량 > EA0909. 시스템제어/통합기술
논문
• IEEE Transactions on Aerospace and Electronic Systems, “Attack Intent Inference of Hypersonic Glide Vehicle based on a Unified Dynamics and Decision-Making Model,” Y. Nam, H. Lee, H. Choi, W.-s. Ra, and C. Kwon, (Early Access, 2025)
• IEEE Robotics and Automation Letters, “Kernel-Based Metrics Learning for Uncertain Opponent Vehicle Trajectory Prediction in Autonomous Racing,” H. Lee, Y. Nam, S. Lee, and C. Kwon, (Dec. 2024)
• IEEE Robotics and Automation Letters, “Active Inference-Based Planning for Safe Human-Robot Interaction: Concurrent Consideration of Human Characteristic and Rationality,” Y. Nam and C. Kwon, (Jun. 2024)
특허
• [국내] “자율 충전 드론과 충전 스테이션을 구비하는 자율 충전 시스템 및 자율 충전 방법,” 권철현, 강상훈,김태원, 최호정, 이상훈, 손정우, 김찬수, (2023.01.31)
• [국내]“대상 차량들간의 상호작용 유추를 통한 ADAS 기능 및 자율주행 인지/판단 능력 개선,” 권철현, 김태홍, (2019.12.30.)
• [국외]“불안정 측위 상황에서 자율주행 차량의 측위 활성화 방안,” 권철현, 최진하, (2019.08.14)