Sanghyun Kim

RESEARCH INTERESTS

    Urban Localization, Seamless Positioning, Intelligent Transportation Systems, Artificial Intelligence

EDUCATION

    M.S./Ph.D. student, School of Integrated Technology, College of Computing, Yonsei University, Korea (2020–present)

    B.S., School of Integrated Technology, College of Engineering, Yonsei University, Korea (2020)

        Second highest GPA in the graduation class of 2020 in the School of Integrated Technology

EXPERIENCE

    Research Assistant, Intelligent Unmanned Systems Laboratory (Prof. Jiwon Seo), Yonsei University (2020–present)

    Teaching Assistant, IIT4312 Mechatronics Project (Prof. Jiwon Seo), Yonsei University (Spring 2022)

    Teaching Assistant, IIT3303 Feedback System (Prof. Jiwon Seo), Yonsei University (Fall 201, Fall 2022)

AWARDS AND HONORS

    Undergraduate Research Program & Outstanding Project Award, Korea Foundation for the Advancement of Science & Creativity (2019)

    Undergraduate fellowship for three years from the ICT Consilience Creative Program supported by the Ministry of Science and ICT, Korea (2017–2019)

    Academic Excellence Award, Yonsei University (Spring 2019)

    Academic Excellence Award, Yonsei University (Fall 2017)

PUBLICATIONS

     International Journal Articles

     1. S. Kim, and J. Seo,

          GNSS NLOS detection method with label smoothing,

          IEEE Transactions on Vehicular Technology, in preparation.

     2. S. Kim, and J. Seo,

          Zonotope shadow and reflection matching: A novel GNSS reflection-based framework for enhanced positioning accuracy in urban areas,

          IEEE Transactions on Intelligent Transportation Systems, submitted.

     3. J. H. Rhee*, S. Kim*, and J. Seo,

          Enhanced accuracy simulator for a future Korean nationwide eLoran system,

          IEEE Access, 9, 115042-115052, 2021. (* indicates equal contribution)

    International Conference Proceedings

    1. S. Kim and J. Seo,

          Enhancing urban GNSS positioning reliability via conservative satellite selection using unanimous voting across multiple machine learning classifiers,

          in Proceedings of the IEEE ITSC 2025, Gold Coast, Austrailia, 2025, Accepted. 

    2. S. Kim and J. Seo,

          Set-Based Position Ambiguity Reduction Method for Zonotope Shadow Matching in Urban Areas Using Estimated Multipath Errors,

          in Proceedings of the ION ITM, Long Beach, CA, USA, 2025, pp. 1–10.  

    3. S. Jeong, S. Kim, and J. Seo,

          Quantum support vector machine-based classification of GPS signal reception conditions,

          in Proceedings of the 2024 IEEE International Conference on Quantum Computing and Engineering (QCE), Montreal, QC, Canada, 2024, pp. 530–531.  

    4. S. Kim and J. Seo,

          Machine-learning-based classification of GPS signal reception conditions using a dual-polarized antenna in urban areas,

          in Proceedings of the 2023 IEEE/ION Position, Location and Navigation Symposium (PLANS), Monterery, CA, USA, 2023, pp. 113–118. 

    5. S. Kim, J. Byun, and K. Park,

          Machine learning-based GPS multipath detection method using dual antennas,

          in Proceedings of the 2022 13th Asian Control Conference (ASCC), Jeju, Korea, 2022, pp. 691-695.  

    6. S. Kim, H. Lee, and K. Park,

          GPS multipath detection based on carrier-to-noise-density ratio measurements from a dual-polarized antenna,

          in Proceedings of the ICCAS 2021, Jeju, Korea, 2021, pp. 1099–1103.  

    7. S. Kim, J. Park, J. K. Yun, and J. Seo,

          Motion planning by reinforcement learning for an unmanned aerial vehicle in virtual open space with static obstacles,

          in Proceedings of the ICCAS 2020, Busan, Korea, 2020, pp. 784–787.  

    8. S. Kim, K. Park, and J. Seo

          Mitigation of GPS chirp jammer using a transversal FIR filter and LMS algorithm,

          in Proceedings of the ITC-CSCC 2019, Jeju, Korea, 2019, pp. 1–4.  

     Domestic Journal Articles

     1. H. Lee, S. Kim, J. Park, S. Jeong, J. Yu, S. Park,  J. Song, H. Choi, and J. Seo,

         A comparative survey of GPS midi and reduced almanacs, 

         Journal of Positioning, Navigation, and Timing, 14(2), 101–108, 2025.

     2. S. Kim and J. Seo,

         Performance analysis of zonotope shadow matching algorithm according to various urban environments, 

         Journal of Positioning, Navigation, and Timing, 13(3), 215–220, 2024.

     3. H. Lee, S. Kim, J. Park, S. Jeong, S. Park, J. Yu, H. Choi, and J. Seo,

         A survey on new parameters of GPS CNAV/CNAV-2 and their roles, 

         Journal of Positioning, Navigation, and Timing, 13(1), 45–54, 2024.

     4. S. Kim, S. Park, and J. Seo,

         Single antenna based GPS signal reception condition classification using machine learning approaches, 

         Journal of Positioning, Navigation, and Timing, 12(2), 149–155, 2023.

     Domestic Conference Proceedings

     1. S. Kim and J. Seo,

         Performance analysis of the ZSM algorithm in urban areas based on satellite geometry, 

         in Proceedings of the 2024 KONI Conference, Seoul, Korea, 2024, pp. 1–3.

     2. S. Kim and J. Seo,

         LOS/NLOS identification of GNSS signals using a 3D city model represented as zonotopes, 

         in Proceedings of the 2023 IPNT Conference, Jeju, Korea, 2023, pp. 5-8.

     3. S. Kim and J. Seo,

         Support vector machine-based GPS multipath detection method, 

         in Proceedings of the 2022 IPNT Conference, Gangneung, Korea, 2022, pp. 365-368.

     4. J. Byun, S. Kim, and J. Seo,

         Detecting NLOS GPS signals using a building boundary graph, 

         in Proceedings of the KICS Winter Conference 2022, Pyeongchang, Korea, 2022, pp. 1226-1227.

     5. J. Yu, S. Kim, and J. Seo,

         Development of the simulation tool to estimate the positioning accuracy of a medium-frequency R-Mode system, 

         in Proceedings of the 2021 KONI Conference, Seoul, Korea, 2021, pp. 141-143.

     6. S. Han, S. Kim, and J. Seo,

         Machine learning based sound source localization in the indoor environment, 

         in Proceedings of the 2019 KONI Conference, Seoul, Korea, 2019, pp. 90-92.

     7. S. Kim, S. Han, and J. Seo,

         Sound source localization in the indoor environment based on time difference of arrival measurements, 

         in Proceedings of the 2019 KONI Conference, Seoul, Korea, 2019, pp. 87-89.

PATENTS

    1. J. Seo, S. Kim, Method and system of estimating the position of GNSS receiver using zonotope-based 3D urban model, 10-2024-0177399, Applied on 3 December 2024, Korea.

    2. J. Seo, S. Kim, GNSS receiver using dual polarization antenna and method for determining location thereof, 10-2669003, Registered on 21 May 2024, Korea.

    3. J. Seo, S. Kim, C. Kee, Apparatus and method for determining satellite signal reception environment using zonotope-based 3D city model, 10-2024-0037053,
        Applied on 18 March 2024, Korea.

    4. J. Seo, S. Kim, Method for detecting GNSS multipath signal based on machine learning using dual polarization antenna, 10-2021-0179893, Applied on 15 December 2021,                      Korea.

    5. J. Seo, S. Han, S. Kim, Method for investigating sound source in indoor passage way based on machine learning, 10-2019-0172645, Applied on 23 December 2019, Korea.

PEER-REVIEW ACTIVITIES

     Journals

     • IEEE Transactions on Intelligent Transportation Systems

     • IEEE Transactions on Aerospace and Electronic Systems

     • Journal of Advanced Navigation Technology

     • Journal of Positioning, Navigation, and Timing

     Conferences

     • IEEE Vehicular Technology Conference

CONTACT

    E-mail: sanghyun.kim@yonsei.ac.kr