Navigation systems determine position, velocity, and orientation using a combination of satellite signals, inertial sensors, and computational algorithms. From smartphone mapping to autonomous vehicles and spacecraft guidance, modern navigation relies on the fusion of multiple imperfect measurements into a single best estimate of state.
These simulations let you trilaterate GPS positions from satellite pseudoranges, propagate inertial navigation states with accelerometers and gyroscopes, run Kalman filters that optimally fuse noisy sensors, snap trajectories to road networks with map-matching, and propagate dead-reckoning estimates from heading and speed — all with real-time interactive controls and physically accurate models.