Jongbin Kim

I am a B.S. student in the Department of Automotive Engineering at Keimyung University.
I am interested in Autonomous driving and deep learning and doing research.

My current research is focused on:

  • Robust EKF-based urban positioning method fusing multi-constellation GNSS and MEMS-IMU with adaptive GNSS weighting derived from real-time SNR, GDOP and innovation statistics


Education

  • B.S., School of Automotive Engineering, Keimyung University (2021.03 ~ )


Research Interest

  • Autonomous navigation & control
  • Sensor fusion & state estimation
  • Multimodal Foundation Models for End-to-End Driving
  • V2X-enhanced path planning
  • Deep reinforcement learning for Autonomous Vehicles
  • Diffusion-Based Trajectory Planning


International Papers

  • Jongbin Kim, Bumyeon Lee, “A GPS-Free Human-Following Framework for Caddy Robots Based on Safety Corridor Obstacle Avoidance Strategy”, (IEEJ SAMCON 2026), Jan. 2026 [PDF]

  • Bumyeon Lee, Jongbin Kim, “Robust Lane Tracking in Non-Standard Road Conditions using Confidence-Adaptive EKF”, (IEEE AMC 2026), Jan. 2026 [PDF]


Domestic Papers

  • Jongbin Kim, “도심 다차선 환경에서 주행에너지 절감을 위한 자율주행 차량의 V2X 통신 기반 최적 주행 경로 생성 알고리즘”, 2025 계명대학교 학생학술논문공모 , Sep. 2025 [PDF]

  • Bumyeon Lee, Jongbin Kim, Junghyun Choi, “저비용 2D LiDAR-IMU 융합 기반 사용자 추종 시스템”, 2025 제어로봇시스템학회 학술대회 (ICROS 2025), Jun. 2025 [PDF]

  • Jongbin Kim, Bumyeon Lee, Junghyun Choi, “저비용 센서 융합을 통한 도시 멀티패스 환경에서의 실시간 경로 계획”, 2025 한국자동차공학회 춘계학술대회 (KSAE 2025), May. 2025 [PDF]

  • Jongbin Kim, Youngil Kim, Huijun Moon, Jaemin Cho, Jungjin Choi, Junghyun Choi, “자율주행 트랙터를 위한 모터식 핸들 및 페달 제어 시스템 모듈 개발”, 2024 한국자동차공학회 추계학술대회 (KSAE 2024), Nov. 2024 [PDF]


Honor & Awards

  • Excellence Award, KAIST Mobility Challenge
  • Excellence Award, Keimyung University Student Research Paper Competition
  • Excellence Award, AWS Deep Racer Championship, Chuncheon
  • EncouragementAward, HL aMAP Innovator Championship [1/5 Scale]
  • EncouragementAward, HL aMAP Stride Championship [MORAI Simulation]
  • Excellence Award, Virtual Auto Race (Simulation‑based Autonomous Driving Competition)