no code implementations • 15 Jan 2022 • Won Joon Yun, Soohyun Park, Joongheon Kim, MyungJae Shin, Soyi Jung, David A. Mohaisen, Jae-Hyun Kim
This paper creates a case where the UAVs with CCTV-cameras fly over the city area for flexible and reliable surveillance services.
no code implementations • 26 Dec 2021 • Won Joon Yun, MyungJae Shin, Soyi Jung, Sean Kwon, Joongheon Kim
The RAIL is a novel derivative-free imitation learning method for autonomous driving with various ADAS functions coordination; and thus it imitates the operation of decision maker that controls autonomous driving with various ADAS functions.
no code implementations • 21 Aug 2020 • MyungJae Shin, Joongheon Kim
As a result, research on imitation learning, which learns policy from a demonstration of experts, has begun to attract attention.
no code implementations • 9 Jun 2020 • MyungJae Shin, Chihoon Hwang, Joongheon Kim, Jihong Park, Mehdi Bennis, Seong-Lyun Kim
User-generated data distributions are often imbalanced across devices and labels, hampering the performance of federated learning (FL).
no code implementations • 13 May 2019 • MyungJae Shin, Joongheon Kim
With the evolution of various advanced driver assistance system (ADAS) platforms, the design of autonomous driving system is becoming more complex and safety-critical.