GitHub - hjjayakrishnan/Android-Phone-IMU-Discrete-Kalman-Filter: This is the implementation of a discrete Kalman filter on the noisy accelerometer values from the inertial measurement unit on my android phone. I've utilised the wireless IMU app
![Sensors | Free Full-Text | A Modified Kalman Filter for Integrating the Different Rate Data of Gyros and Accelerometers Retrieved from Android Smartphones in the GNSS/IMU Coupled Navigation | HTML Sensors | Free Full-Text | A Modified Kalman Filter for Integrating the Different Rate Data of Gyros and Accelerometers Retrieved from Android Smartphones in the GNSS/IMU Coupled Navigation | HTML](https://www.mdpi.com/sensors/sensors-20-05208/article_deploy/html/images/sensors-20-05208-g007.png)
Sensors | Free Full-Text | A Modified Kalman Filter for Integrating the Different Rate Data of Gyros and Accelerometers Retrieved from Android Smartphones in the GNSS/IMU Coupled Navigation | HTML
![Sensors | Free Full-Text | A Modified Kalman Filter for Integrating the Different Rate Data of Gyros and Accelerometers Retrieved from Android Smartphones in the GNSS/IMU Coupled Navigation | HTML Sensors | Free Full-Text | A Modified Kalman Filter for Integrating the Different Rate Data of Gyros and Accelerometers Retrieved from Android Smartphones in the GNSS/IMU Coupled Navigation | HTML](https://www.mdpi.com/sensors/sensors-20-05208/article_deploy/html/images/sensors-20-05208-g005a.png)
Sensors | Free Full-Text | A Modified Kalman Filter for Integrating the Different Rate Data of Gyros and Accelerometers Retrieved from Android Smartphones in the GNSS/IMU Coupled Navigation | HTML
![Sensors | Free Full-Text | A Modified Kalman Filter for Integrating the Different Rate Data of Gyros and Accelerometers Retrieved from Android Smartphones in the GNSS/IMU Coupled Navigation | HTML Sensors | Free Full-Text | A Modified Kalman Filter for Integrating the Different Rate Data of Gyros and Accelerometers Retrieved from Android Smartphones in the GNSS/IMU Coupled Navigation | HTML](https://www.mdpi.com/sensors/sensors-20-05208/article_deploy/html/images/sensors-20-05208-g012.png)
Sensors | Free Full-Text | A Modified Kalman Filter for Integrating the Different Rate Data of Gyros and Accelerometers Retrieved from Android Smartphones in the GNSS/IMU Coupled Navigation | HTML
![Sensors | Free Full-Text | A Modified Kalman Filter for Integrating the Different Rate Data of Gyros and Accelerometers Retrieved from Android Smartphones in the GNSS/IMU Coupled Navigation | HTML Sensors | Free Full-Text | A Modified Kalman Filter for Integrating the Different Rate Data of Gyros and Accelerometers Retrieved from Android Smartphones in the GNSS/IMU Coupled Navigation | HTML](https://www.mdpi.com/sensors/sensors-20-05208/article_deploy/html/images/sensors-20-05208-g005b.png)
Sensors | Free Full-Text | A Modified Kalman Filter for Integrating the Different Rate Data of Gyros and Accelerometers Retrieved from Android Smartphones in the GNSS/IMU Coupled Navigation | HTML
![Illustration of the zero-velocity updates (ZUPT)-aided extended Kalman... | Download Scientific Diagram Illustration of the zero-velocity updates (ZUPT)-aided extended Kalman... | Download Scientific Diagram](https://www.researchgate.net/publication/337713962/figure/fig2/AS:832031491637255@1575383174418/Illustration-of-the-zero-velocity-updates-ZUPT-aided-extended-Kalman-filter-EKF.png)
Illustration of the zero-velocity updates (ZUPT)-aided extended Kalman... | Download Scientific Diagram
![WT61P Accelerometer+Tilt Sensor】High-Stability Acceleration(+-16g)+Gyro+Angle(XY Dual-axis)+Quaternion with Kalman Filter, Mpu6050 AHRS IMU (Unaffected by Magnetic Field), for PC/Arduino/Raspberry Pi: Amazon.com: Industrial & Scientific WT61P Accelerometer+Tilt Sensor】High-Stability Acceleration(+-16g)+Gyro+Angle(XY Dual-axis)+Quaternion with Kalman Filter, Mpu6050 AHRS IMU (Unaffected by Magnetic Field), for PC/Arduino/Raspberry Pi: Amazon.com: Industrial & Scientific](https://m.media-amazon.com/images/I/41RD8N0ApBL._SX385_.jpg)
WT61P Accelerometer+Tilt Sensor】High-Stability Acceleration(+-16g)+Gyro+Angle(XY Dual-axis)+Quaternion with Kalman Filter, Mpu6050 AHRS IMU (Unaffected by Magnetic Field), for PC/Arduino/Raspberry Pi: Amazon.com: Industrial & Scientific
![Sensors | Free Full-Text | A Modified Kalman Filter for Integrating the Different Rate Data of Gyros and Accelerometers Retrieved from Android Smartphones in the GNSS/IMU Coupled Navigation | HTML Sensors | Free Full-Text | A Modified Kalman Filter for Integrating the Different Rate Data of Gyros and Accelerometers Retrieved from Android Smartphones in the GNSS/IMU Coupled Navigation | HTML](https://www.mdpi.com/sensors/sensors-20-05208/article_deploy/html/images/sensors-20-05208-g009.png)
Sensors | Free Full-Text | A Modified Kalman Filter for Integrating the Different Rate Data of Gyros and Accelerometers Retrieved from Android Smartphones in the GNSS/IMU Coupled Navigation | HTML
GitHub - wzj5530/EKF_IMUFusion: Extended Kalman Filter on IMU Fusion, Android Platform, Base on Oculus, Cardboard
![This Repository helps to reduce GPS data error on Android with Kalman filter and accelerometer : r/github This Repository helps to reduce GPS data error on Android with Kalman filter and accelerometer : r/github](https://external-preview.redd.it/zRZ7t_deqbyq3YsqI3jSKM2OPvSbWhUyG9V2r9hgoik.jpg?width=640&crop=smart&auto=webp&s=e10f6595a737378c6bd82a0fefd638d382918c53)
This Repository helps to reduce GPS data error on Android with Kalman filter and accelerometer : r/github
![9-Axis Accelerometer+Tilt Sensor】WT901 High-Accuracy Acceleration+Gyroscope+Angle +Magnetometer with Kalman Filtering, Triaxial MPU9250 AHRS IMU (IIC/TTL, 200Hz), for PC/Android/Arduino: Amazon.com: Industrial & Scientific 9-Axis Accelerometer+Tilt Sensor】WT901 High-Accuracy Acceleration+Gyroscope+Angle +Magnetometer with Kalman Filtering, Triaxial MPU9250 AHRS IMU (IIC/TTL, 200Hz), for PC/Android/Arduino: Amazon.com: Industrial & Scientific](https://m.media-amazon.com/images/I/41AA93pta+L.jpg)