- Professor
- Jong-Chan Kim
- LocationRm. 540, College of Engineering Bldg
- Contact02-910-5508
- Emailjongchank@kookmin.ac.kr
Our lab studies the system issues of in-vehicle computing platforms. Recently, we have focused on the autonomous driving computing platform, specifically doing the memory and timing optimization of deep neural network (DNN) inference systems. Also, our lab proudly developed and maintains the scale truck platooning testbed, which is being used by many industrial and international collaboration projects including the validation of dangerous truck platooning scenarios.
Major Research Fields
- Real-time scheduling
- Deep learning inference system optimization
- AUTOSAR system optimization
- Truck platooning perception, decision, and control
Research Activities
- Phalanx: Failure-Resilient Truck Platooning System, 26th Design, Automation and Test in Europe Conference (DATE 2023), April, 2023
- Cyclops: Open Platform for Scale Truck Platooning, IEEE International Conference on Robotics and Automation (ICRA 2022), May, 2022
- Demand Layering for Real-Time DNN Inference with Minimized Memory Usage, 43rd IEEE Real-Time Systems Symposium (RTSS 2022), Dec, 2022
- R-TOD: Real-Time Object Detector with Minimized End-to-End Delay for Autonomous Driving, 41st IEEE Real-Time Systems Symposium (RTSS 2020), Dec, 2020
