Junhyeok Lee

Driven by vision. Defined by persistence.

B.S. in Automotive EngineeringKookmin University, Senior

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© 2026 Junhyeok Lee · Seoul
Junhyeok Lee
Autonomous Driving
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03

Localization

DONE

Precise vehicle state estimation combining GPS, wheel odometry, and inertial measurements through Kalman filter-based sensor fusion for robust positioning in diverse environments.

GPSWheel OdometryIMUExtended Kalman FilterCoordinate TransformROS2
<0.5m
Position Err
50Hz
Update Rate
3
Sensors Fused
EKF
Filter

GPS/INS Integration

GPS provides global positioning at 10Hz, while the IMU offers high-frequency (100Hz) acceleration and angular rate measurements. These are fused to achieve both global accuracy and local smoothness in the position estimate.

Wheel Odometry

Encoder-based wheel odometry provides dead-reckoning position estimates at 50Hz. Combined with the vehicle kinematic model, this serves as the primary short-term position source and drift correction input for the Kalman filter.

Extended Kalman Filter

EKF fuses GPS, IMU, and odometry into a unified state estimate (position, heading, velocity). The filter handles sensor dropouts gracefully — when GPS is unavailable (tunnels, urban canyons), odometry and IMU maintain continuity until GPS reacquires.

© 2026 Junhyeok LeeSeoul, Korea