Hyochoong Bang
Korea Advanced Institute of Science and Technology · 工学
研究室紹介
Professor Hyochoong Bang's research lab specializes in aerospace systems and autonomous vehicle technologies, with a strong focus on unmanned aerial vehicles (UAVs), satellite constellations, and spacecraft navigation and control. Key research directions include path planning under adversarial threats, terrain-aided navigation using advanced filtering techniques like Rao-Blackwellized particle filters, and relative pose estimation for uncooperative spacecraft using monocular vision. The lab also investigates optimization of small satellite constellations for efficient Earth coverage and revisit time using evolutionary algorithms.
Research Overview
Research Output Trend
Figures are computed from collected data and may differ slightly.
Selected Papers
15This paper presents the method to solve the problem of path planning for an unmanned aerial vehicle (UAV) in adversarial environments including radar-guided surface-to-air missiles (SAMs) and unknown threats. SAM lethal envelope and radar detection for SAM threats and line-of-sight (LOS) calculation for unknown threats are considered to compute the cost for path planning. In particular, dynamic SAM lethal envelope is taken into account for path planning in that SAM lethal envelope does change it
This paper focuses on maximizing the percent coverage and minimizing the revisit time for a small satellite constellation with limited coverage. A target area represented by a polygon defined by grid points is chosen instead of using a target point only. The constellation consists of nonsymmetric and circular Low Earth Orbit (LEO) satellites. A global optimization method, Genetic Algorithm (GA), is chosen due to its ability to locate a global optimum solution for nonlinear multiobjective problem
Covers advancements in spacecraft and tactical and strategic missile systems, including subsystem design and application, mission design and analysis, materials and structures, developments in space sciences, space processing and manufacturing, space operations, and applications of space technologies to other fields.
Terrain-aided navigation (TAN) is a technology that estimates the position of the vehicle by comparing the altitude measured by an altimeter and height from the digital elevation model (DEM). The particle filter (PF)-based TAN has been commonly used to obtain stable real-time navigation solutions in cases where the unmanned aerial vehicle (UAV) operates at a high altitude. Even though TAN performs well on rough and unique terrains, its performance degrades in flat and repetitive terrains. In par
A new output-feedback control approach for the single-axis rotational maneuver of a e exible structure by use of on‐off thrusters is discussed. The target structural model represents a large-space-structure type with relatively lownaturalfrequencies.Thelargeovershootinducedbyphaseerroroftheappliedtorqueinputisminimizedbythe newcontrollaw.Thethrusteroutputismodulatedin pulsewidthso thattheoutputproe leissimilartocontinuously smoothed control histories. The main idea of the new controller is based