![[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 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….
Introduction In the field of autonomous drone development, the integration of PX4, ROS 2, and Gazebo has become the industry standard. This setup allows developers to bridge the gap between high-level AI algorithms and low-level flight control. At QUAD Drone Lab, we’ve prepared this in-depth guide to help you master the communication bridge: Micro XRCE-DDS….
