Diploma in VIO and Robust Location in GNSS-Denied Areas

The Diploma in VIO and Robust Localization in GNSS-Denied Areas delves into the design and implementation of autonomous navigation systems that operate efficiently in environments where GNSS signals (GPS, GLONASS, Galileo) are nonexistent or degraded. It focuses on the integration of Visual-Inertial Odometry (VIO), SLAM (Simultaneous Localization and Mapping), and other fused sensor techniques (IMU, cameras, LiDAR) to provide accurate and continuous localization, using algorithms robust against failures and disturbances.

The course provides hands-on experience in the use of simulation software, algorithm development, and hardware experimentation on platforms such as drones and ground vehicles. The course covers sensor calibration, pose estimation, map building, and the development of navigation strategies that ensure autonomy in challenging scenarios, meeting the required safety and reliability standards for critical applications. The training prepares students for roles such as robotics engineer, autonomous navigation specialist, perception researcher, and embedded systems developer.

Target keywords (natural in the text): VIO, robust localization, GNSS denied, autonomous navigation, sensor fusion, SLAM, sensor calibration, pose estimation, robotics, drones.