Introduction and Implementations of the Kalman Filter (Hardcover) (ISBN-13: 9781838805364)

Sensor data fusion is the process of combining error-prone, heterogeneous, incomplete, and ambiguous data to gather a higher level of situational awareness. In principle, all living creatures are fusing information from their complementary senses to coordinate their actions and to detect and localize danger. In sensor data fusion, this process is transferred to electronic systems, which rely on some "awareness" of what is happening in certain areas of interest. By means of probability theory and statistics, it is possible to model the relationship between the state space and the sensor data. The number of ingredients of the resulting Kalman filter is limited, but its applications are not.

Author: Felix Govaers
ISBN-10: 1838805362
ISBN-13: 9781838805364
Publisher: Intechopen
Language: English
Published: 05/22/2019
Pages: 128
Format: Hardcover
Weight: 0.90lbs
Size: 9.61h x 6.69w x 0.38d