We are developing navigation algorithms and control systems. We have 13 on-going projects.
R&D Projects
Development of Unmanned Systems for Indoor Search in Fire Scenes by KARI
Development of an autonomous shipboard landing algorithm for a unmanned aerial vehicle using reinforcement learning
Study on underwater target tracking supported by LIG Nex1
Study on navigation system for CIWS (Close-in Weapon system) by Microinfinity and LIG Nex1
Study on underwater vehicles navigation system based on DVM (dynamic vehicle model) supported by ADD (Agency for Defense Development, 국방과학연구소)
Perception and Sensors Research Group for Core Technology Research Program for Unmanned Systems (무인이동체 원천기술개발사업 센서연구단) : Development of sensor fusion technique for unmanned systems supported by NRF.
Study on Tactical Communication System based-on Moving AP (초연결 기동형 분산 전술통신시스템 개발) supported by KRIT (Korea Research Institute for defense Technology planning and advancement , 국방기술진흥연구소)
Navigation System Research Group for Core Technology Research Program for Unmanned Systems (무인이동체 원천기술개발사업 항법연구단) : Development of Indoor and Outdoor Integrated Navigation Technology for Operating in Unknown and Harsh Environments
R&D and Researcher Training Programs
RISE (Regional Innovation System & Education) program
ITRC (Information Technology Research Center)
Priority Research Institute for Priority Research Institute Program (대학중점연구소) : Development of Core Technology for Next Generation AI-based Unmanned Flying Vehicles
BK21 Four Program
National Program for Excellence in Software, 2nd Phase (소프트웨어중심대학 사업)
And more than 50 projects until now.
Study on Model Based Navigation for Tactical Submarine supported by ADD (Agency for Defense Development, 국방과학연구소)
Study on magnetic map matching based localization and vision based anomaly detection algorithm for electrical plant surveillance robots (Basic Research Program of KEPCO, 한국전력 전력연구원 우수논문후속 기초연구과제)
Development of Automated Inspection System for Access Vulnerable Railway Facilities based on Unmanned Aerial Vehicle (공공혁신조달 연계 무인이동체 및 SW플랫폼 개발사업, 철도기술연구원)
Sensor System Research Group for Core Technology Research Program for Unmanned Systems (무인이동체 원천기술개발사업 센서사업단) : Development of virtual environment-based simulators and database structure, and Development of Sensor fusion algorithm for 3D integrated Camera sensor
Study on Integrated Navigation Using Smoother for Pipeline Inspection Robot supported by KOGAS
Study on Navigation for Smart Watch supported by Samsung
Study on sensor signal processing for autonomous driving systems (with Hyundai Motor Company)
Training program for industrial unmanned aircraft system engineers (산업용 무인비행장치 전문인력 양성사업)
Development of Black-box for UAV (Navigation algorithm, fault detection and accident analysis)
National Program for Excellence in Software (소프트웨어중심대학 사업)
Development of integrated navigation algorithm using range sensors and inertial sensors (with Konkuk University and Seoul National University)
Development of 3D navigation system for autonomous car (with Seoul National University, supported by Hyundai M&S)
Integrated navigation algorithm with velocity compensation loop for unmanned aircraft systems and synthetic aperture radar
Dumb fire missile navigation algorithm
and more
Radar ego velocity/UWB integrated navigation
Radar signal based SLAM and map-matching
UAV/UGV cooperative navigation system to resolve uncertainties in expandable wireless infrastructure
Sonar signal processing and Kalman filtering
Target tracing filter and classification
Interacting multiple model filter based target identification
DVL/INS integrated navigation
Model parameter estimation based on AI regression
Fault detection, isolation, and redundant navigation
DVL/INS integrated navigation + TRN for UUV
Image matching navigation + TRN for UAV
Sequential/batch fusion filtering
Map matching based navigation system using Lidar and IMU
Multiple Lidar fusion
Navigation algorithm and control
Real time implementation and flight test
Faultless, fakeless seamless navigation algorithm
Fault detection and isolation algorithm
Vision & IMU fusion
Integrated navigation and precision landing system using landing target recognition algorithm
Vision based target detection
Vision & Lidar fusion navigation
Obstacle and target recognition using machine vision techniques
Navigation for land vehicles
GPS health monitoring
Odometer (or visual odometry) integrated navigation
Vision based navigation system
Machine learning algorithm
Feature detection and map matching
Target recognition and machine learning
Sense and avoidance algorithm
Machine vision
Fault free navigation system
Fault detection, isolation, and reconfiguration
Radar/INS navigation
Simulator design
3D TOF sensor and Lidar fusion
Outlier mitigation and sensor fusion
DB management
Simulator design
Magnetic map-matching and vision based indoor localization (SLAM)
Outlier mitigation and sensor fusion
INS-free navigation system
Sensor signal processing for vehicle dynamic control
Sensor fusion and error compensation
Filter design for automotive control
Seamless navigation using vision and radar
Autonomous landing
Adaptive nonlinear control compensating ground effect
Target detection and navigation
Fault detection and isolation
Smoothing filter
Simulator design