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
Back to Stack
01

Hardware

IN PROGRESS

The physical foundation of the autonomous driving stack — vehicle platforms, sensor suites, and onboard compute units that interface with every software layer above.

ERP-42JetRacerVelodyne LiDARUSB CameraJetson OrinGPS/INS
2
Platforms
5+
Sensors
Jetson
Compute
CAN/USB
Comm

Vehicle Platforms

Two primary platforms — ERP-42 (full-scale autonomous vehicle with CAN-based steering and throttle control) and JetRacer (1/10-scale RC platform for rapid RL prototyping and Sim-to-Real transfer experiments). Both share a common ROS2-based software interface.

Sensor Suite

Multi-modal perception hardware including Velodyne VLP-16 LiDAR for 3D point cloud generation, monocular USB cameras for lane and object detection, GPS/INS modules for global positioning, IMU for inertial measurement, and wheel encoders for odometry feedback.

Compute Architecture

NVIDIA Jetson Orin serves as the primary onboard compute unit, running ROS2 nodes for real-time perception and control. Host PC handles heavier tasks like model training and simulation. Communication between onboard and host uses a high-throughput bridge layer.

© 2026 Junhyeok LeeSeoul, Korea