GPS Denied

GPS-denied navigation focuses on developing autonomous systems capable of localization and path planning without relying on GPS signals. Current research emphasizes robust localization techniques using various sensor modalities, including cameras (stereo vision, RGB-D), lidar, and inertial measurement units, often integrated with algorithms like Visual Simultaneous Localization and Mapping (VSLAM), Extended Kalman Filters (EKF), and deep learning for landmark recognition and map generation. These advancements are crucial for applications ranging from infrastructure inspection and subterranean exploration to military operations and search-and-rescue in challenging environments where GPS is unreliable or unavailable. The resulting improvements in autonomous navigation have significant implications across diverse fields.