chingkui said:What are the states? Measurements? And what have you done so far?
chingkui said:What are the states? Measurements? And what have you done so far?
chingkui said:What are the states? Measurements? And what have you done so far?
Sensor fusion using extended kalman filter is a method used in robotics and control systems to combine data from multiple sensors to create a more accurate and reliable estimate of the system's state.
Sensor fusion is the process of combining data from multiple sensors, while the extended kalman filter is a specific algorithm used to perform sensor fusion and estimate the system's state.
The most commonly used sensors in sensor fusion using extended kalman filter are accelerometers, gyroscopes, and magnetometers. Other sensors such as cameras, lidar, and ultrasound can also be used depending on the application.
The extended kalman filter allows for nonlinear system models and noisy sensor data to be incorporated into the fusion process, resulting in a more accurate and robust estimation of the system's state.
Sensor fusion using extended kalman filter is commonly used in autonomous vehicles, robotics, navigation systems, and aerospace engineering. It can also be applied in various industrial and medical fields.