Projects



About



Sunyou Hwang

2011~2016.08
B.S. in Mechanical Engineering at Sungkyunkwan Univ., Korea.
2014~2015
Junior Web Developer at IHN Media( Rasplayer ), Vancouver, BC, Canada.
2016.09~Current
Master's student at KAIST , Department of Aerospace engineering, Unmanned Systems Research Group ( USRG).

Interested in: Artificial Intelligence, Computer vision, Vision-based control
S. Jung, S. Hwang, H. Shin, and D. H. Shim, “Perception, Guidance and Navigation for Indoor Autonomous Drone Racing using Deep Learning.“ IEEE Robotics and Automation Letters. 2018. (ICRA 2018 & RA-L both accepted) (link)
S. Hwang, J. Lee, H. Shin, S. Cho, and D. H. Shim, “Aircraft Detection using Deep Convolutional Neural Network in Small Unmanned Aircraft Systems.“ In 2018 AIAA Information Systems-AIAA Infotech@ Aerospace, pp. 2137., Kissimmee, Florida, 2018. (link)
S. Jung, H. Lee,S. Hwang, J. Lee, S. Cho, and H. Shim, “Real Time Embedded System Framework for Autonomous Drone Racing using Deep Learning Techniques.” In 2018 AIAA Information Systems-AIAA Infotech@ Aerospace, pp. 2138., Kissimmee, Florida, 2018. (link)
S. Hwang, J. Lee, and D.H. Shim, “Aircraft Detection and Heading Estimation with a Single Camera Using Deep Convolutional Neural Network,” KSAS Fall Conference, pp. 575-576, Jeju, Nov., 2017. (link)
S. Hwang, J. Lee, S. Cho, and H. Shim, “A Survey on Vision-based Aircraft Detection for Collision Avoidance of Small UAS.” iCROS(institute of control, robotics and systems), 23(3), pp. 25-31. Sep. 2017. (link)
S. Hwang, S. Cho, and H. Shim, “Aircraft Detection using Deep Convolutional Neural Network based Semantic Segmentation.” Journal of institute of control, robotics and systems, 23(8), pp. 625-634. Aug. 2017. (link)
J. Lee, S. Hwang, and D.H. Shim, “Technology Trend of Collision Avoidance Technique for Integration of Unmanned Aircraft System in the Civil Airspace System,” Korea Navigation Institute Conference, Seoul, 2017.
S. Hwang, S. Jung, and H. Shim, “Detection of Aerial Vehicle in Images Using Deep Convolutional Neural Network,” KSAS Spring Conference, pp. 138-139, April, 2017. (link)

Awards

FIRST PLACE winner at Airbus Autonomous Drone Racing, Seoul ADEX 2017. Team KAIST, Oct., 21, 2017.

Contact



Email

sunyouh35@gmail.com, sunyouh35@kaist.ac.kr

Address

#C304, E4 KI bdg, KAIST, 291 Daehak-ro, Yuseong-gu,
Daejeon, Korea, Republic of,. 34141.