Jongrak Hwang
Papers
2
Total Citations
116
H-Index
2
About
Jongrak Hwang is a leading researcher in autonomous driving systems, with a primary focus on sensor fusion and real-time control architectures for self-driving vehicles. His most influential work, “LiDAR and Camera Fusion Approach for Object Distance Estimation in Self-Driving Vehicles” (2020), has garnered 114 citations, establishing a foundational method for combining light detection and ranging (LiDAR) data with camera imagery to achieve precise distance estimation—a critical capability for safe navigation in autonomous cars, industrial robotics, and automation. Hwang’s contributions address the core challenge of integrating heterogeneous sensor streams in real-time, significantly improving object detection reliability. He also led the development of the VIROS autonomous vehicle at Kookmin University, detailed in his 2019 paper on control systems for international competitions, where he applied the Robot Operating System (ROS) to create a robust, competition-ready platform. This work demonstrates his hands-on expertise in translating theoretical sensor fusion into practical, award-winning vehicle control. Hwang’s research continues to influence the next generation of autonomous driving technologies, bridging the gap between sensor data integration and real-world deployment.
Research Focus
Key Achievements
Top Papers
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- 2