Unmanned Ground Vehicles (UGVs) are an emerging technology with diverse applications across sectors such as military operations, disaster response, and industrial automation. These platforms are designed to perform missions in challenging and unstructured environments, presenting significant obstacles to reliable navigation and autonomous operation. This paper discusses the navigation methodologies implemented in two developed UGV platforms equipped with advanced systems designed to maintain operational capability in complex terrains, including GNSS-denied environments. The primary navigation system integrates Global Navigation Satellite System (GNSS) technology with Inertial Navigation Systems (INS) to enhance positional accuracy and compensate for signal loss. This architecture combines inputs from GPS, GLONASS, GALILEO, QZSS, BEIDOU, and L-Band, alongside a high-performance strapdown INS, providing precise position, velocity, and orientation (Heading, Pitch, and Roll) data for both stationary and dynamic scenarios. Field tests using unmanned platforms were conducted under real-world conditions to validate during periods of temporary GNSS signal distortion. The integrated GNSS-INS system showed resilience in maintaining navigation accuracy for short durations of signal loss. However, in scenarios where GNSS signals are consistently unavailable or unreliable, a vision-based navigation system was introduced to extend the platforms’ operational capability. The algorithm utilizes real-time camera stream to follow a designated object, continuously updating its position and controlling UGV motion relative to the target. Further work to improve tracked object’s position as a navigation reference is also defined.