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yunny22/README.md

Taeyun Kim

Undergraduate student in Smart Vehicle Engineering at Konkuk University.

I study learning-based autonomous driving for real-world driving environments. My experience includes Imitation Learning, Offline Reinforcement Learning, Sim-to-Real, and real-vehicle autonomous driving systems. I am currently studying Cooperative End-to-End Driving with V2I information.

Research Interests

  • Learning-based Autonomous Driving
  • Imitation Learning & Offline Reinforcement Learning
  • Sim-to-Real & Real-Vehicle Validation
  • Cooperative / V2I End-to-End Driving
  • Planning & Vehicle Control

Selected Work

Pinned Loading

  1. kookmin-sim-to-real kookmin-sim-to-real Public

    Offline RL and Sim-to-Real autonomous driving with canonical perception, Behavioral Cloning and TD3+BC.

    Python

  2. kookmin-imitation-learning kookmin-imitation-learning Public

    Behavioral Cloning autonomous driving with human keyboard demonstrations and rule-based mission integration.

    Python

  3. hybrid-path-planning hybrid-path-planning Public

    Learning- and rule-based hybrid autonomous driving with imitation learning, lattice planning and Pure Pursuit in CARLA.

    Python

  4. hl-ku-autonomous-vehicle hl-ku-autonomous-vehicle Public

    ROS 2 real-vehicle autonomous driving with dual-RTK GNSS, spline route smoothing and Pure Pursuit.

    Python

  5. kookmin-rule-based-autonomous-driving kookmin-rule-based-autonomous-driving Public

    Final TeamKAI real-vehicle Rule-based stack: Xbin metric centerline, fused Pure Pursuit–Stanley control, and mission arbitration.

    Python

  6. autonomous-parking-nav2 autonomous-parking-nav2 Public

    ROS 2 autonomous parking with AMCL, SmacPlannerHybrid, Reeds-Shepp and MPPI for an Ackermann vehicle.

    Python