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Young Joon Suh
Senior Research Scientist specializing in AI for autonomous driving and semiconductors
Seoul, KoreaVisiting Scientist5 years experienceSeniorResearchSemiconductorsAutomotive
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About
Robotics perception engineer focused on autonomous driving 3D detection, integrating PETR embeddings into BEVFormer and tackling hard orientation/temporal alignment issues in multi-camera BEV pipelines. Uses Gazebo with custom sensor plugins to validate calibration, timing, and transforms, and blends synthetic labels with real imagery for scalable 3D box generation.
Experience
Visiting ScientistKorea Institute of Science and Technology
Education
San Jose State Universitymaster, Artificial Intelligence (2026)
The University of Texas at Dallasdoctorate, Electrical Engineering (2012)
Yonsei Universitybachelor, Electrical and Electronics Engineering (2006)
Key Strengths
- Deep familiarity with BEV-based multi-camera 3D perception (PETR + BEVFormer integration)
- Hands-on debugging of training issues (loss plateau; bounding box orientation errors)
- Temporal alignment strategies for fast-moving scenes (timestamping, pose interpolation, velocity propagation)
- Simulation-driven validation of calibration and timing (intrinsics/extrinsics, transforms, synchronization)
- Custom Gazebo sensor plugin work for realistic sensor effects (motion blur, exposure noise, rolling shutter)
- Bandwidth-aware distributed robotics approach (sharing semantic intent like 3D boxes/BEV grids)
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