Attitude Estimation using Low-Cost Sensors: A comparative analysis

Abstract:

In this paper several algorithms to estimate the attitude of a UAS using low-cost sensors are reviewed and a new one including the angular velocity is proposed. The fusion of measurement coming from gyroscopes and accelerometers is based on the Kalman filter. A quadrotor experimental platform is used to compare the measurement systems. The estimation results are evaluated under different conditions and compared against the results obtained with an industrial measurement device.

Año de publicación:

2014

Keywords:

• sensors
• attitude
• Estimation
• Kalman
• Low-cost

Fuente:

scopus