TY - JFULL AU - Gheorghe Galben and Daniel N. Aloi PY - 2011/9/ TI - Low-Cost and Highly Accurate Motion Models for Three-Dimensional Local Landmark-based Autonomous Navigation T2 - International Journal of Electrical and Computer Engineering SP - 920 EP - 929 VL - 5 SN - 1307-6892 UR - https://publications.waset.org/pdf/15444 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 56, 2011 N2 - Recently, the Spherical Motion Models (SMM-s) have been introduced [1]. These new models have been developed for 3D local landmark-base Autonomous Navigation (AN). This paper is revealing new arguments and experimental results to support the SMM-s characteristics. The accuracy and the robustness in performing a specific task are the main concerns of the new investigations. To analyze their performances of the SMM-s, the most powerful tools of estimation theory, the extended Kalman filter (EKF) and unscented Kalman filter (UKF), which give the best estimations in noisy environments, have been employed. The Monte Carlo validation implementations used to test the stability and robustness of the models have been employed as well. ER -