Expansion of attitude determination algorithms via complementary filtering

In this paper we present and compare four methods which address attitude estimation problem using Inertial Measurement Unit (IMU). The result of these algorithms is attitude estimate in the form of attitude quaternion. Two of these methods are authors original propositions based on expanding attitude determination algorithms by additional complementary filtering. It is shown, that this expansion significantly reduces the estimation errors.