Best SLAM-Based Navigation in GPS-Denied or Contested Areas
When GPS is unreliable, jammed, spoofed, blocked by concrete, or unavailable underground, autonomous systems still need to know where they are and where they are going. This is where SLAM-based navigation becomes essential. SLAM, or Simultaneous Localization and Mapping, allows a vehicle, robot, drone, or wearable system to build a map of its surroundings while estimating its own position inside that map. In GPS-denied or contested areas, the best navigation systems are not usually dependent on one sensor or one algorithm; they combine perception, inertial sensing, robust mapping, and real-time decision-making into a resilient autonomy stack.