Intuitive understanding of kalman filtering with matlab®
Auteur :
Barreto, Armando / Adjouadi, Malek / Ortega, Francisco / O-larnnithipong, Nonnarit
Éditeur :
Taylor & Francis Ltd
ISBN :
9780367191337
Date de publication :
7 sept. 2020
Dimensions :
23,4 x 15,6 cm
Poids :
353 g
Langue :
Anglais
Pays d'origine :
Grande Bretagne
The emergence of affordable micro sensors, such as MEMS Inertial Measurement Systems, which are being applied in embedded systems and Internet-of-Things devices, has brought techniques such as Kalman Filtering, capable of combining information from multiple sensors or sources, to the interest of students and hobbyists.