Core AI | 서울대학교AI연구원(AIIS)

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RESEARCH

Core AI

AIIS (Artificial Intelligence Institute at Seoul National University) is an intercollegiate research institute
committed to integrating and supporting AI-related research. As a hub of AI research both in Core AI
and X+AI areas, researchers of diverse disciplines collaborate through AIIS.

Autonomous Driving

AIIS conducts comprehensive studies on autonomous driving, including the core autonomous
driving technologies, future mobility services, legal systems, and social implications.

Lee, Chang-Gun Department of Computer Science and Engineering

  • Research Lab Real Time Ubiquitous Systems Lab
  • Research Area (Core AI)Robotics & Action, AI Platform, Autonomous Driving
  • Research Area (X+AI)Manufacturing

대표논문

Kang-Wook Kim, Youngeun Cho, Jeongyoon Eo, Chang-Gun Lee, and Junghee Han, System-wide Time vs. Density Tradeoff in Real-Time Multicore Fluid Scheduling, in IEEE Transactions on Computers (TC), Vol. 67, Issue 7, pp. 7, July 2018.
Youngeun Cho, Do Hyung Kim, Daechul Park, Seungsu Lee, and Chang-Gun Lee, Conditionally Optimal Task Parallelization for Global EDF on Multi-core Systems, in IEEE Real-Time Systems Symposium (RTSS), Dec. 2019.
Kyoung-Soo We, Seunggon Kim, Wonseok Lee, and Chang-Gun Lee, Functionally and Temporally Correct Simulation of Cyber-Systems for Automotive Systems, in IEEE Real-Time Systems Symposium (RTSS), Paris, France, Dec. 2017.
Duhee Lee, Chang-Gun Lee, and Kanghee Kim, A Generic Framework for Soft Real-Time Program Executions on NAND Flash Memory in Multi-Tasking Embedded Systems, in 30th IEEE Real-Time Systems Symposium, Washington D.C., U.S., Dec. 2009.
E. Felemban, Chang-Gun Lee, E. Ekici, R. Boder, and S. Vural, Probabilistic QoS Guarantee in Reliability and Timeliness Domains in Wireless Sensor Networks, in IEEE INFOCOM, Vol. 4, Mar. 2005.
[2015. 03. ~ 2023. 02.] (SW Star Lab) Real-Time System SW on Multicore and GPGPU for Unmanned Vehicles, IITP
[2011. 07. ~ 2018. 10.] Development of Techniques for ECU-Level Real-Time Verification/Implementation, Hyundai/Kia Motors

Kim, H. Jin Department of Aerospace Engineering

  • Research Lab Lab for Autonomous Robotics Research
  • Research Area (Core AI)Vision & Perception, Robotics & Action, Autonomous Driving
  • Research Area (X+AI)Logistics, Manufacturing

대표논문

Autonomous helicopter flight via reinforcement learning
HJ Kim, MI Jordan, S Sastry, AY Ng,  Advances in neural information processing systems, 2004
Aerial manipulation using a quadrotor with a two dof robotic arm
S Kim, S Choi, HJ Kim
IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013
Real-time monocular image-based 6-DoF localization
H Lim, SN Sinha, MF Cohen, M Uyttendaele, HJ Kim
International Journal of Robotics Research 34 (4-5), 476-492, 2015
Learning Transformable and Plannable se(3) Features for Scene Imitation of a Mobile Service Robot
J Park, J Kim, Y Jang, I Jang, HJ Kim
IEEE Robotics and Automation Letters, 2020
Fast and safe policy adaptation via alignment-based transfer
Jigang Kim, Seungwon Choi, and H. Jin Kim
IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Jeon, Wha Sook Department of Computer Science and Engineering

  • Research Lab 이동 컴퓨팅 및 통신 연구실
  • Research Area (Core AI)Autonomous Driving
  • Research Area (X+AI)Manufacturing, Energy

대표논문

"Energy-efficient channel management scheme for cognitive radio sensor networks," IEEE Transactions on Vehicular Technology, 2011(DOI:  10.1109/TVT.2011.2128355 ).
"Collaborative sensing management for cognitive radio networks with reporting overhead," IEEE Transactions on Wireless Communications, 2013 (DOI:  10.1109/TWC.2012.12.111813) .
"Performance analysis of neighbor discovery process in Bluetooth Low Energy networks," IEEE Transactions on Vehicular Technology, 2017(DOI:  10.1109/TVT.2016.2558194).
"A graph-based handover scheduling for heterogeneous vehicular networks," IEEE Access,  2018 (DOI: 10.1109/ACCESS.2018.2870889).
"Adaptive Uplink Rate Control for Confirmed Class A Transmission in LoRa Networks," IEEE Internet of Things Journal, 2020 (DOI: 10.1109/JIOT.2020.2986494).

Park, Jaeheung Department of Intelligence and Information

  • Research Lab Dynamic Robotic Systems Lab
  • Research Area (Core AI)Robotics & Action, Autonomous Driving
  • Research Area (X+AI)Arts, Medicine, Manufacturing

대표논문

Kim, Dong-Kyu Department of Civil and Environmental Engineering

  • Research Lab Transportation Planning and Logistics
  • Research Area (Core AI)Learning & Reasoning, Data Intelligence, Autonomous Driving
  • Research Area (X+AI)Humanities/Social Sciences, Logistics, Smart mobility

대표논문

Ham, S., H. Park, E. Kim, S. Kho, and D. Kim. “Investigating the Influential Factors for Practical Application of Multiclass Vehicle Detection for Images from Unmanned Aerial Vehicle Using Deep Learning Models.” Proceedings of the 99th Annual Meeting of the Transportation Research Board, Washington, D. C., U.S.A., January 12-16, 2020.
Kim, E., H. Park, S. Kho, and D. Kim*. (2019.12) “A Hybrid Approach Based on Variational Mode Decomposition for Analyzing and Predicting Urban Travel Speed.” Journal of Advanced Transportation, Vol. 2019, Article ID 3958127. https://doi.org/10.1155/2019/3958127.
Kim, E., H. Park, S. Ham, S. Kho, and D. Kim*. (2019.04) “Extracting Vehicle Trajectories Using Unmanned Aerial Vehicles in Congested Traffic Conditions.” Journal of Advanced Transportation, Vol. 2019, Article ID 9060797. https://doi.org/10.1155/2019/9060797.
Park, H., D. Kim*, and S. Kho. (2018.12) “Bayesian Network for Freeway Traffic State Prediction.” Transportation Research Record: Journal of the Transportation Research Board, Vol. 2672, No. 45, pp. 124-135. DOI: 10.1177/0361198118786824.
영상 기반 딥 생성 모델을 활용한 차로별 미시교통정보 생성, 과학기술정보통신부, 2019.09-2020.08
무인항공기와 루프검지기 기반의 통합차량검지시스템을 이용한 교통혼잡 관리전략 개발, 과학기술정통부, 2016.06-2019.05
  • Research Lab 지능형자동차연구실
  • Research Area (Core AI)Autonomous Driving
  • Research Area (X+AI)

대표논문

Yun, Myung Hwan Department of Industrial Engineering

  • Research Lab Center for Human Interface Systems
  • Research Area (Core AI)Human-AI Interaction, Data Intelligence, Autonomous Driving, User Interface User Experience
  • Research Area (X+AI)Humanities/Social Sciences, Human Factors Cognitive Engineering

대표논문

A Systematic Review of a Virtual Reality System from the Perspective of User Experience Yong Min Kim, Ilsun Rhiu, Myung Hwan Yun 2019
International Journal of Human–Computer Interaction 1-18
Mining affective experience for a kansei design study on a recliner Wonjoon Kim, Taehoon Ko, Ilsun Rhiu, Myung Hwan Yun
2019/1/1 Applied ergonomics 74 145-153
Queueing Network Based Driver Model for Varying Levels of Information Processing
Ye Lim Rhie, Ji Hyoun Lim, Myung Hwan Yun 2018/10/31 IEEE Transactions on Human-Machine Systems 49 6 508-517
Classification of children’s sitting postures using machine learning algorithms Yong Min Kim, Youngdoo Son, Wonjoon Kim, Byungki Jin, Myung Hwan Yun
2018/8 Applied Sciences 8 8 1280
Exploring User Experience of Smartphones in Social Media: A Mixed-Method Analysis
Ilsun Rhiu, Myung Hwan Yun 2018/5/14
International Journal of Human–Computer Interaction
AI 를 이용한 스마트 체어 시스템. 산업부/DBK 2017-2019

한상진 환경계획학과

  • Research Lab 교통안전공학랩
  • Research Area (Core AI)Autonomous Driving, Data Intelligence
  • Research Area (X+AI)Transportation, Big Data

대표논문

Han, S., & Chang, J. S. (2021). Identifying Priority Crosswalk Locations in Urban Road Networks. Journal of Urban Planning and Development, 147(2), 04021014.
Chang, J. S., Han, S., & Jo, S. (2020). Road safety performance across local governments: a data envelopment analysis approach. International journal of injury control and safety promotion, 27(4), 447-457.
Han, S., & Lee, H. (2020). Comparison of road safety management systems of local governments using indicators. Transportation research record, 2674(12), 435-446.
Persia, L., Usami, D. S., De Simone, F., De La Beaumelle, V. F., Yannis, G., Laiou, A., ... & Salathè, M. (2016). Management of road infrastructure safety. Transportation research procedia, 14, 3436-3445.
Han, S. (2016). Note on evaluating safety performance of road infrastructure to motivate safety competition. International journal of injury control and safety promotion, 23(1), 85-92.
Chang, J. S., Han, S., Jung, D., & Kim, D. (2014). Benefits of rerouting railways to tunnels in urban areas: a case study of the Yongsan line in Seoul. International Journal of Urban Sciences, 18(3), 404-415.
Lee, D., Han, S. J., & Kim, D. G. (2011). Evaluating prioritization of ASEAN highway network development using a fuzzy multiple attribute decision making method. Journal of advanced transportation, 45(2), 129-142.
Han, S. (2007). A route-based solution algorithm for dynamic user equilibrium assignments. Transportation Research Part B: Methodological, 41(10), 1094-1113.
Han, S., & Heydecker, B. G. (2006). Consistent objectives and solution of dynamic user equilibrium models. Transportation Research Part B: Methodological, 40(1), 16-34.
Han, S. (2003). Dynamic traffic modelling and dynamic stochastic user equilibrium assignment for general road networks. Transportation Research Part B: Methodological, 37(3), 225-249.
한상진, 김은우, 장효석, & 주종완. (2023). 자동긴급제동장치의 고령운전자 추돌사고 감소 효과 추정. 한국 ITS 학회논문지, 22(1), 161-171.
김혜원·한상진 2022. 교통안전성과지표 도입에 따른 지자체 교통안전 관리체계 개선 효과 분석, 대한교통학회
한상진 2022. 단독주택지구 도로의 소방자동차 진입 가능성 지표 개발 및 활용방안, 교통연구 제29권 제2호, pp37-46.
한상진·장효석·조준한·오주석·윤일수 2020. 고령운전자를 위한 조건부 운전면허제도 개선방향 연구, 한국ITS학회논문지 19(5), pp29-39.
이선영·한상진·정연식 2020. 순서형 프로빗모형을 이용한 강우시 고속도로 교통사고 심각도 분석, 교통연구 제27권 제1호, pp1-11. (교신)

공동저서
한상진, 장수은, 진장원 2019. 보행교통의 이해-걷기좋은도시 만들기의 첫걸음, 키네마인.
한상진 2020. 녹색교통을 위한 도시 가로의 재구성, in「감염병 시대 도시변화의 방향을 묻다」, 서울연구원 pp 75-97.
안전속도 5030 설계·운영매뉴얼 2019. 한상진(편), 경찰청·국토교통부

Kim, Hyunseop Department of Philosophy

  • Research Lab Ethics, Political Philosophy, Jurisprudence
  • Research Area (Core AI)Human-AI Interaction, AI Law & Ethics, Autonomous Driving
  • Research Area (X+AI)Humanities/Social Sciences

대표논문

기술적, 의학적, 윤리적, 법적 관점에서 바라본 인공지능의 책임성 (교육부, 2019.7부터 진행중)
자율주행자동차에 대한 융합연구토대마련 (서울대학교, 2016)

Lee, Kyu Eun Department of Medicine

  • Research Lab Surgery
  • Research Area (Core AI)Vision & Perception, Autonomous Driving
  • Research Area (X+AI)Medicine

대표논문

Ultrasound image analysis using deep learning algorithm for the diagnosis of thyroid nodules. Medicine (Baltimore). 2019
로봇수술 숙련도 평가 모델 및 트레이닝 시스템의 개발 및 적용 (한국연구재단 신진연구자지원사업, 2015~)
의료 빅데이터 융합 전문가 인력 양성을 위한 비정형 빅데이터의 정형화 기술 및 분석 플랫폼 개발(과학기술정보통신부, 정보통신방송연구개발사업, 세부책임자, 2019~)

김아영 Department of Mechanical Engineering

  • Research Lab 로봇 인식 및 공간 지능 연구실
  • Research Area (Core AI)Vision & Perception,Autonomous Driving,Robotics & Action
  • Research Area (X+AI)Manufacturing

대표논문

Giseop Kim, Sunwook Choi and Ayoung Kim, Scan Context++: Structural Place Recognition Robust to Rotation and Lateral Variations in Urban Environments. IEEE Transactions on Robotics, 2021.
Joowan Kim, Younggun Cho and Ayoung Kim, Proactive Camera Attribute Control using Bayesian Optimization for Illumination-Resilient Visual Navigation. IEEE Transactions on Robotics, 36(4):1256-1271, 2020
Jinyong Jeong, Younggun Cho, Young-Sik Shin, Hyunchul Roh and Ayoung Kim, Complex Urban Dataset with Multi-level Sensors from Highly Diverse Urban Environments. International Journal of Robotics Research, 38(6):642-657, 2019.

Jeong, Euicheol Department of Crafts and Design

  • Research Lab 인간중심통합디자인연구실
  • Research Area (Core AI)Learning & Reasoning, Human-AI Interaction, Autonomous Driving
  • Research Area (X+AI)Arts, Design

대표논문

Seo, Jongmo Department of Electrical and Computer Engineering

  • Research Lab Electro-medical Fusion Engineering lab
  • Research Area (Core AI)Learning & Reasoning, Vision & Perception, Robotics & Action, Human-AI Interaction, Data Intelligence, AI Law & Ethics, Autonomous Driving
  • Research Area (X+AI)Bio, Brain, Medicine

대표논문

Park, Woojin Department of Industrial Engineering

  • Research Lab Life Enhancing Technology Lab
  • Research Area (Core AI)Human-AI Interaction, Autonomous Driving
  • Research Area (X+AI)User Experience

대표논문

Kim, Tae-wan Department of Naval Architecture and Ocean Engineering

  • Research Lab Computer Aided Design and Information Technology Lab
  • Research Area (Core AI)Learning & Reasoning, Robotics & Action, Autonomous Driving
  • Research Area (X+AI)Finance, Logistics, Manufacturing

대표논문

Lee, Kyoung Mu Department of Electrical and Computer Engineering

  • Research Lab Computer Vision Lab.
  • Research Area (Core AI)Learning & Reasoning, Vision & Perception, Autonomous Driving
  • Research Area (X+AI)Bio, Medicine, Logistics, Manufacturing

대표논문