Sensor Fusion for Aerial Vehicle

dc.contributor.author	BASHIR, MUHAMMAD ASAD
dc.date.accessioned	2023-08-09T09:41:18Z
dc.date.available	2023-08-09T09:41:18Z
dc.date.issued	2020
dc.identifier.other	00000172011
dc.identifier.uri	http://10.250.8.41:8080/xmlui/handle/123456789/36006
dc.description	Supervisor: DR. FAHAD MUMTAZ MALIK	en_US
dc.description.abstract	A method of Sensor fusion is developed for Altitude Estimation of aerial vehicles. IMU (MPU 6050) and Pressure Sensor are used to get real time data but Altitude estimation is drifted because the data form these sensors are noisy and biased. Kalman Filter is used for sensor fusion to combine data from sensors. This research work has two parts that is Attitude Estimation and Altitude Estimation.	en_US
dc.language.iso	en	en_US
dc.publisher	College of Electrical & Mechanical Engineering (CEME), NUST	en_US
dc.subject	Keywords: Sensor Fusion, Accelerometer, Gyroscope, Barometer, Kalman Filter, Attitude Estimation, Altitude Estimation	en_US
dc.title	Sensor Fusion for Aerial Vehicle	en_US
dc.type	Thesis	en_US