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The positioning and navigation technology are the key factors in the research of mobile robots.

What is it about?

Autonomous position and navigation are preconditions of carry out a task, and it have been one of the valuable research issues in intelligent field.

Why is it important?

This paper describes an improved measurement model that suitable from 0◦ to 180◦ and used this model in the Extended Kalman Filter (EKF) and Unscented Kalman Filter(UKF) time update step respectively, the method can address the interference of kinematics model predicted position and heading angle, both of them are easily disturbed by noises and other factors.

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Junsuo QU
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