![[Hybrid Navigation System: Part 6] [Implementation-Phase 2] Intermediate Correction: OpenCV/YOLO Terrain Matching and Digital Twin Testing](https://quad-drone-lab.co.kr/wp-content/uploads/2026/06/Absolute_Visual_Localization_for_UAVs-768x429.jpg)
Hello! To all the graduate students and researchers burning the midnight oil at the forefront of autonomous unmanned aerial vehicle (UAV) systems—welcome back to the QUAD Drone Lab. In Part 5, we explored PX4’s Dead-Reckoning mode, a critical software safety net that allows a drone to survive and maintain flight in GNSS-Denied environments, such as…
![[Hybrid Navigation System: Special Edition] Survive GPS Jamming! A Complete Guide to “PX4 Dead-Reckoning Mode”](https://quad-drone-lab.co.kr/wp-content/uploads/2026/05/Resilient_Drone_Dead-Reckoning_Navigation-768x429.jpg)
Hello! To all the graduate students and researchers burning the midnight oil at the forefront of autonomous unmanned aerial vehicle (UAV) systems—welcome to the QUAD Drone Lab. Throughout our series, we have built various hardware and software architectures—such as high-performance external INS, ROS 2 communication bridges, terrain contour matching, and visual servoing—designed to help our…
![[Hybrid Navigation System Series Part 5: Implementation-Stage 1] Cruising Phase: Classical Dead Reckoning, Wind Estimation, and Gazebo Wind Simulation](https://quad-drone-lab.co.kr/wp-content/uploads/2026/05/Drone-Vector-Navigation-Crab-Angle-768x429.png)
Hello to all the graduate students and researchers burning the midnight oil at the forefront of autonomous unmanned aerial vehicle (UAV) systems! Welcome back to QUAD Drone Lab. In our previous post, <Part 4>, we successfully completed the infrastructure work by building a ROS 2 & Micro XRCE-DDS bridge to inject high-performance external INS data…
![[Hybrid Navigation System Part 4: Integration] Integrating PX4 and External INS Odometry via ROS 2 and Communication Verification](https://quad-drone-lab.co.kr/wp-content/uploads/2026/04/Drone-Navigation-Data-Integration-Flow-1-768x429.jpg)
Hello! To all the graduate students and researchers fighting on the front lines of autonomous unmanned aerial vehicle (UAV) systems, welcome back to the QUAD Drone Lab. In our previous post, <Part 3>, we explored the mathematical limitations of low-cost sensors in completely GNSS-Denied environments—specifically the dreaded ‘drift’ caused by double integration. To overcome this,…
![[Hybrid Navigation System: Part 3 Hardware & Modeling] A Deep Dive into Industrial High-Performance INS & Making GPS Jamming Simulator](https://quad-drone-lab.co.kr/wp-content/uploads/2026/04/Physics-of-IMU-Drift-Errors-768x429.jpg)
Hello! To all the university students and researchers pushing the boundaries of autonomous flight and unmanned navigation technologies—welcome back to QUAD Drone Lab. In our previous post, <Part 2>, we explored the state estimation principles of the PX4 EKF2 (the brain of our drone) and set up a safe Gazebo SITL simulator environment for testing….
![[Hybrid Navigation System: Part 2] Principles of PX4 Autonomous Navigation and Gazebo SITL Simulator Configuration](https://quad-drone-lab.co.kr/wp-content/uploads/2026/04/PX4EKF2-Architecture-768x429.jpg)
Hello! University students and drone researchers exploring the frontiers of autonomous flight and navigation technologies, welcome back to the QUAD Drone Lab. In our previous post, <Part 1>, we drew inspiration from the wisdom of World War II fighter pilots to design a blueprint for a ‘3-Stage Non-GPS Hybrid Unmanned Navigation System’. This system allows…
![[Hybrid Navigation System Series Part 1: Overview] Flying Hundreds of Kilometers Without GPS? Learning a Hybrid Navigation System from WWII Pilots](https://quad-drone-lab.co.kr/wp-content/uploads/2026/04/컴패니언-컴퓨터-기반의-AI-지형지물-보정-768x419.jpg)
Hello, university students and drone researchers who are diving into the world of autonomous flight and navigation systems! The drones we use every day can locate themselves as quickly and accurately as our smartphones. This is all thanks to the Global Navigation Satellite System (GNSS, commonly referred to as GPS). However, in modern, complex battlefields…
![The Ultimate Guide to MAVSDK-Python Programming [Part 10]: Enhancing Target Reaching Efficiency with Feed-Forward Simultaneous Control](https://quad-drone-lab.co.kr/wp-content/uploads/2026/03/Feed-Forward-Drone-Navigation-Control-Comparison-768x429.png)
Hello and welcome back, university students and researchers dedicating yourselves to autonomous flight robotics and drone control algorithms! Welcome to the grand tenth installment of our MAVSDK-Python blog series. Throughout [Part 8] and [Part 9], we deeply explored Position Control, which commands the vehicle to move to specific coordinates, and Velocity Control, which dictates the…
안녕하세요! 자율비행 로봇과 드론 제어 알고리즘 연구에 매진하고 계신 대학생 및 연구원 여러분. MAVSDK-Python 연재 블로그의 대망의 열 번째 시간에 오신 것을 환영합니다. 지난 **[제8편]**과 **[제9편]**에 걸쳐 우리는 특정 좌표로 기체를 이동시키는 **위치 제어(Position Control)**와, 기체의 진행 방향 및 속도를 지정하는 **속도 제어(Velocity Control)**에 대해 깊이 있게 학습했습니다. 이 두 가지 제어 방식만으로도 훌륭한 자율비행…
![The Ultimate Guide to MAVSDK-Python Programming [Part 9]: OFFBOARD Velocity Control (Based on BODY and NED Frames)](https://quad-drone-lab.co.kr/wp-content/uploads/2026/03/image-3-768x543.png)
Hello and welcome back, university students and researchers dedicating yourselves to autonomous flight robotics and drone control algorithms! Welcome to the ninth installment of our MAVSDK-Python blog series. In our last session, [Part 8], we learned about Offboard Position Control, which commands the vehicle to move to specific coordinates (NED). However, position control alone has…
