Implementation of Kalman Filter using Gyroscope
| dc.contributor.author | Aqeel Tariq | |
| dc.contributor.author | Muhammad Waseem Asif | |
| dc.contributor.author | Mohsin Javed | |
| dc.date.accessioned | 2025-12-25T09:17:18Z | |
| dc.date.available | 2025-12-25T09:17:18Z | |
| dc.date.issued | 2012 | |
| dc.description.abstract | The project serves the study of Kalman filter and its implementation on microcontroller. We have successfully developed its application by implementing it on microcontroller and developed a stable system by using MEMS-based accelerometer and gyroscope. Kalman filter is implemented for error compensation in the sensor values. This project has vast applications ranging from robotics to complete self-balancing and is a very important step forward towards the industry having motion-sensing-based applications. This is the era of automation; hence, autopilots, drones, and quadcopters are heavily using IMU to stabilize their system. | |
| dc.identifier.uri | https://escholar.umt.edu.pk/handle/123456789/17994 | |
| dc.language.iso | en | |
| dc.publisher | UMT Lahore | |
| dc.title | Implementation of Kalman Filter using Gyroscope | |
| dc.type | Thesis |
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