Rovers require advanced guidance and navigation systems to accurately determine their position and orientation while navigating uneven terrain and avoiding hazards. Therefore, inertial navigation systems (INS) have been integrated with available satellite navigation data to meet these requirements and achieve reliable autonomous navigation on other planets. This study presents a hybrid navigation solution for planetary rovers that targets robust autonomous localization under intermittent or degraded satellite coverage consist of global navigation satellite system (GNSS) and inertial navigation system (INS). The proposed approach combines high-rate inertial measurements with periodic GNSS position fixes using a Kalman-filter-based sensor fusion architecture. By combining the continuous motion propagation of the INS with the long-term stability of GNSS updates, the method bounds the inertial drift while preserving the smooth state estimates during GNSS outages. The predicted update loop was implemented using a lowpower Arduino Mega 2560 microcontroller. A hardware prototype integrating an inertial measurement unit and a global positioning system receiver was developed to validate the framework. Experimental results demonstrated that the fused GNSS/INS solution closely tracked the ground truth, reducing position drift by approximately 75% relative to INS-only dead reckoning and improving the overall trajectory accuracy compared with single-sensor approaches. This compact, embedded implementation highlights the feasibility of low-cost and reliable navigation systems for future planetary rover missions.