Search Results - "Hyunchul Shim, David"

Precise Localization and Mapping in Indoor Parking Structures via Parameterized SLAM by Han, Jungwook, Kim, Jinwhan, Shim, David Hyunchul

“…This paper addresses a computationally efficient approach to localization and mapping in an indoor parking garage in the context of simultaneous localization…”
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Robotic Herding of a Flock of Birds Using an Unmanned Aerial Vehicle by Paranjape, Aditya A., Soon-Jo Chung, Kyunam Kim, Shim, David Hyunchul

“…In this paper, we derive an algorithm for enabling a single robotic unmanned aerial vehicle to herd a flock of birds away from a designated volume of space,…”
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An autonomous UAV system based on adaptive LiDAR inertial odometry for practical exploration in complex environments by Kim, Boseong, Azhari, Maulana Bisyir, Park, Jaeyong, Shim, David Hyunchul

“…Unmanned aerial vehicles (UAVs) offer many advantages over ground vehicles, including quadruped robots, based on high maneuverability when performing…”
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V2X-Communication-Aided Autonomous Driving: System Design and Experimental Validation by Jung, Chanyoung, Lee, Daegyu, Lee, Seungwook, Shim, David Hyunchul

“…In recent years, research concerning autonomous driving has gained momentum to enhance road safety and traffic efficiency. Relevant concepts are being applied…”
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Perception, Guidance, and Navigation for Indoor Autonomous Drone Racing Using Deep Learning by Sunggoo Jung, Sunyou Hwang, Heemin Shin, Shim, David Hyunchul

“…In autonomous drone racing, a drone is required to fly through the gates quickly without any collision. Therefore, it is important to detect the gates reliably…”
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TempFuser: Learning Agile, Tactical, and Acrobatic Flight Maneuvers Using a Long Short-Term Temporal Fusion Transformer by Seong, Hyunki, Shim, David Hyunchul

“…Dogfighting is a challenging scenario in aerial applications that requires a comprehensive understanding of both strategic maneuvers and the aerodynamics of…”
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An autonomous aerial combat framework for two-on-two engagements based on basic fighter maneuvers by Shin, Heemin, Lee, Jaehyun, Kim, Hyungi, Hyunchul Shim, David

“…Unmanned combat aerial vehicles are expected to assist human pilots or to perform autonomous aerial combat in the future. Previous research studies on…”
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Incorporating Multi-Context Into the Traversability Map for Urban Autonomous Driving Using Deep Inverse Reinforcement Learning by Jung, Chanyoung, Shim, David Hyunchul

“…Autonomous driving in an urban environment with surrounding agents remains challenging. One of the key challenges is to accurately predict the traversability…”
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A direct visual servoing‐based framework for the 2016 IROS Autonomous Drone Racing Challenge by Jung, Sunggoo, Cho, Sungwook, Lee, Dasol, Lee, Hanseob, Shim, David Hyunchul

“…This paper presents a framework for navigating in obstacle‐dense environments as posed in the 2016 International Conference on Intelligent Robots and Systems…”
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Sensor Data Prediction in Missile Flight Tests by Ryu, Sang-Gyu, Jeong, Jae Jin, Shim, David Hyunchul

“…Sensor data from missile flights are highly valuable, as a test requires considerable resources, but some sensors may be detached or fail to collect data…”
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Optimal Rendezvous Guidance Using Linear Quadratic Control by Moon, Gun-Hee, Lee, Byung-Yoon, Tahk, Min-Jea, Shim, David Hyunchul

“…This paper handles with an energy optimal guidance law for rendezvous mission, based on linear quadratic control (LQC) problem. Rendezvous of two satellites…”
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A general‐purpose task execution framework for manipulation mission of the 2017 Mohamed Bin Zayed International Robotics Challenge by Hong, Jun, Jung, Seokwoo, Jung, Chanyoung, Jung, Jiwon, Shim, David Hyunchul

“…This paper presents the hardware and software of our team's EurecarBot for Challenge 2 in the 2017 Mohamed Bin Zayed International Robotics Challenge (MBZIRC)…”
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Recursive Path Planning Using Reduced States for Car-Like Vehicles on Grid Maps by Sangyol Yoon, Sung-Eui Yoon, Unghui Lee, Shim, David Hyunchul

“…We present a recursive path-planning method that efficiently generates a path by using reduced states of the search space and taking into account the…”
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A Mini-drone Development, Genetic Vector Field-Based Multi-agent Path Planning, and Flight Tests by Lee, Dasol, Shim, David Hyunchul

“…In this paper, we detail the development of mini-drones and propose a Genetic Vector Field (GVF) algorithm for multi-agent path planning. The developed…”
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Spline-based RRT∗ Using Piecewise Continuous Collision-checking Algorithm for Car-like Vehicles by Yoon, Sangyol, Lee, Dasol, Jung, Jiwon, Shim, David Hyunchul

“…This paper presents a path planning algorithm that can efficiently check for interference with potential obstacles while piecewise continuously computing the…”
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A mission management system for complex aerial logistics by multiple unmanned aerial vehicles in MBZIRC 2017 by Lee, Jaehyun, Shim, David Hyunchul, Cho, Sungwook, Shin, Heemin, Jung, Sunggoo, Lee, Dasol, Kang, Jaemin

“…In this study, we present a system that manages multiple unmanned aerial vehicles (UAVs) for a search, pickup, and drop mission in the 2017 Mohamed Bin Zayed…”
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Collision‐free local planner for unknown subterranean navigation by Jung, Sunggoo, Lee, Hanseob, Shim, David Hyunchul, Agha‐mohammadi, Ali‐akbar

“…When operating in confined spaces or near obstacles, collision‐free path planning is an essential requirement for autonomous exploration in unknown…”
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Tablet PC-based Visual Target-Following System for Quadrotors by Kim, JeongWoon, Shim, David Hyunchul, Morrison, James R.

“…This paper proposes a vision-based, closed-loop target-following system for quadrotors. The system consists of a vision-based target detection algorithm that…”
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Indoor UAV Control Using Multi-Camera Visual Feedback by Oh, Hyondong, Won, Dae-Yeon, Huh, Sung-Sik, Shim, David Hyunchul, Tahk, Min-Jea, Tsourdos, Antonios

“…This paper presents the control of an indoor unmanned aerial vehicle (UAV) using multi-camera visual feedback. For the autonomous flight of the indoor UAV,…”
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Probabilistic pursuit-evasion games: theory, implementation, and experimental evaluation by Vidal, R., Shakernia, O., Kim, H.J., Shim, D.H., Sastry, S.

“…We consider the problem of having a team of unmanned aerial vehicles (UAVs) and unmanned ground vehicles (UGVs) pursue a second team of evaders while…”
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