ADAS systems will eventually be responsible for providing navigational guidance for autonomous vehicles. While self-driving cars top many newsfeeds, a simplified view of ADAS is a navigation system for our roads similar to the system Apollo used in space. Advanced Driver Assistance Systems (ADAS) Image credit: An animated image of GFS simulation, NOAA. According to an IEEE article on the applications of the Kalman filtering in aerospace, “This Kalman filter has a large system state vector, including the trajectories of the 24+ satellites, the drift rates and phases of all system clocks, and hundreds of parameters related to atmospheric propagation delay as a function of time and location.” The entire satellite-based global positioning system (GPS) was described as “one enormous Kalman filter” in the engineering textbook Global Positioning Systems, Inertial Navigation, and Integration. Here’s a list of some of the modern technologies that use Kalman filters: GPS Since then, it has been used in many technologies that affect our daily lives, or will in the near future. It was used to estimate the trajectories of manned spacecraft taking the first astronauts to the Moon and back. One of the first applications of the Kalman filter was the navigation for the Apollo Project. Rudolf Kálmán first described the Kalman filter in technical papers in 1960, a mere 2 years after NASA was founded. Earlier this week, MIT Technology Review published an article “ How an Inventor You’ve Probably Never Heard of Shaped the Modern World” which described Rudolf Kálmán’s contribution to modern-day science and technology, a recursive estimation algorithm that accurately predicts variables such as direction, speed, and location even in noisiest of environments.
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