Mohinder Grewal, professor emeritus of electrical engineering, published a reference entry on Kalman filtering in the International Encyclopedia of Statistical Science.
Grewal is one of over 700 experts from 110 countries, including Nobel Laureates and presidents of statistical societies, who have combined their expertise to provide a comprehensive and accessible account of statistical terms, methods and applications in this second edition of the International Encyclopedia of Statistical Science. Grewal was invited to author the title “Kalman Filtering.”
Probability theory and the theory of random processes are applied in the derivation of the Kalman filter equations. The Kalman filter has been applied in navigation, sensor fusion of GPS, Gyros, accelerometers and others. Specific applications include autonomous navigation of automobiles, aircraft, drones, robots, ships, submarines, weather prediction, agriculture, soft landing on the moon and GPS standalone.
This work highlights the relevance and applicability of the Kalman filter to statistics across various fields, from economics and business to health care and public policy, and demonstrates the significance of Kalman filtering in solving real-world problems.
It provides cutting-edge statistical methods and applications for modern challenges, and revives statistics education in underserved areas, acting as a catalyst for global academic progression.
The International Encyclopedia of Statistical Science also covers such topics as statistical theory and methods; statistics for business, management, economics, finance, insurance and biostatistics; statistics for engineering, physics, computer science, chemistry and Earth sciences; and statistics for social sciences, humanities, law, probability theory and stochastic processes.