Sunggoo Jung

*: Equal Contribution
† : Corresponding Author

Extensions of Receding Horizon Task Assignment

for Area Coverage in Dynamic Environments

Y. Hong, †Sunggoo Jung, S. Kim, J. Cha, IEEE Transactions on Aerospace and Electronic Systems (TAES), November 2022.

Autonomous Mission of Multi-UAV for Optimal Area Coverage

Y. Hong, †Sunggoo Jung, S. Kim, J. Cha, Sensors, April 2021.

Mapless Navigation: Learning UAVs Motion for Exploration of Unknown Environments

Sunggoo Jung, and D. H. Shim.

Paper (Ph. D. Thesis)
Thesis title: A Deep Reinforcement Learning based Motion Planner for the Exploration of Unknown Environments with an Aerial Robot

Collision-free local planner for unknown subterranean navigation

Sunggoo Jung, H. Lee, D. H. Shim and A. Agha-mohammadi, ETRI Journal, August 2021.

Perception, Guidance, and Navigation for Indoor Autonomous Drone Racing Using Deep Learning

Sunggoo Jung, Sunyou Hwang, Heemin Shin, and David Hyunchul Shim. IEEE Robotics and Automation Letters (RA-L), July 2018.

A direct visual servoing-based framework for the 2016 IROS Autonomous Drone Racing Challenge

Sunggoo Jung, Sungwook Cho, Dasol Lee, Hanseob Lee, and David Hyunchul Shim. Journal of Field Robotics, August 2017.

Voxel-based Full 3D autonomous flight, variable speed control according to obstacle information around the vehicle

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