TY - GEN
T1 - Review of hybridizations of kalman filters with fuzzy and neural computing for mobile robot navigation
AU - Graña, Manuel
AU - Villaverde, Iván
AU - Guede, Jose Manuel López
AU - Fernández, Borja
PY - 2009
Y1 - 2009
N2 - Kalman Filters (KF) are at the root of many computational solutions for autonomous systems navigation problems, besides other application domains. The basic linear formulation has been extended in several ways to cope with non-linar dynamic environments. One of the latest trend is to introduce other Computational Intelligence (CI) tools, such as Fuzzy Systems or Artificial Neural Networks inside its computational loop, in order to obtain learning and advanced adaptive properties. This paper offers a short review of current approaches.
AB - Kalman Filters (KF) are at the root of many computational solutions for autonomous systems navigation problems, besides other application domains. The basic linear formulation has been extended in several ways to cope with non-linar dynamic environments. One of the latest trend is to introduce other Computational Intelligence (CI) tools, such as Fuzzy Systems or Artificial Neural Networks inside its computational loop, in order to obtain learning and advanced adaptive properties. This paper offers a short review of current approaches.
UR - https://www.scopus.com/pages/publications/71049144018
U2 - 10.1007/978-3-642-02319-4_15
DO - 10.1007/978-3-642-02319-4_15
M3 - Conference contribution
AN - SCOPUS:71049144018
SN - 3642023185
SN - 9783642023187
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 121
EP - 128
BT - Hybrid Artificial Intelligence Systems - 4th International Conference, HAIS 2009, Proceedings
T2 - 4th International Conference on Hybrid Artificial Intelligence Systems, HAIS 2009
Y2 - 10 June 2009 through 12 June 2009
ER -