A novel STSOSLAM algorithm based on strong tracking second order central difference Kalman filter

[1]  Bi Zeng,et al.  A novel relocation method for simultaneous localization and mapping based on deep learning algorithm , 2017, Comput. Electr. Eng..

[2]  Xin Yuan,et al.  AEKF-SLAM: A New Algorithm for Robotic Underwater Navigation , 2017, Sensors.

[3]  Ramazan Havangi Intelligent FastSLAM: An Intelligent Factorized Solution to Simultaneous Localization and Mapping , 2017, Int. J. Humanoid Robotics.

[4]  Erkan Uslu,et al.  R-SLAM: Resilient localization and mapping in challenging environments , 2017, Robotics Auton. Syst..

[5]  Wan Kyun Chung,et al.  Data association using relative compatibility of multiple observations for EKF-SLAM , 2016, Intell. Serv. Robotics.

[6]  Zeng-Guang Hou,et al.  Neural network based FastSLAM for autonomous robots in unknown environments , 2015, Neurocomputing.

[7]  Klaus C. J. Dietmayer,et al.  The Labeled Multi-Bernoulli SLAM Filter , 2015, IEEE Signal Processing Letters.

[8]  J. M. M. Montiel,et al.  ORB-SLAM: A Versatile and Accurate Monocular SLAM System , 2015, IEEE Transactions on Robotics.

[9]  Seung-Hwan Lee,et al.  Relational FastSLAM: an improved Rao-Blackwellized particle filtering framework using particle swarm characteristics , 2016, Robotica.

[10]  Davide Scaramuzza,et al.  SVO: Fast semi-direct monocular visual odometry , 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).

[11]  Yang De-l The application of square-root cubature Kalman filter and probability hypothesis density in simultaneous localization and mapping for mobile robots , 2014 .

[12]  Peter S. Maybeck,et al.  Stochastic Models, Estimation And Control , 2012 .

[13]  Chen Yao-wu Fast SLAM algorithm based on central difference Kalman filter , 2010 .

[14]  Wan Kyun Chung,et al.  Unscented FastSLAM: A Robust and Efficient Solution to the SLAM Problem , 2008, IEEE Transactions on Robotics.

[15]  Han Chongzhao Particle Filter Using Second-Order Central Difference , 2008 .

[16]  Hugh F. Durrant-Whyte,et al.  Simultaneous Localization and Mapping with Sparse Extended Information Filters , 2004, Int. J. Robotics Res..

[17]  Rudolph van der Merwe,et al.  Sigma-point kalman filters for probabilistic inference in dynamic state-space models , 2004 .

[18]  Sebastian Thrun,et al.  FastSLAM 2.0: An Improved Particle Filtering Algorithm for Simultaneous Localization and Mapping that Provably Converges , 2003, IJCAI.

[19]  J. Stoer,et al.  Introduction to Numerical Analysis , 2002 .

[20]  Sebastian Thrun,et al.  FastSLAM: a factored solution to the simultaneous localization and mapping problem , 2002, AAAI/IAAI.

[21]  K. Ito Gaussian filter for nonlinear filtering problems , 2000, Proceedings of the 39th IEEE Conference on Decision and Control (Cat. No.00CH37187).

[22]  Niels Kjølstad Poulsen,et al.  New developments in state estimation for nonlinear systems , 2000, Autom..

[23]  Kazufumi Ito,et al.  Gaussian filters for nonlinear filtering problems , 2000, IEEE Trans. Autom. Control..

[24]  Hugh F. Durrant-Whyte,et al.  A new method for the nonlinear transformation of means and covariances in filters and estimators , 2000, IEEE Trans. Autom. Control..

[25]  Tor Steinar Schei,et al.  A finite-difference method for linearization in nonlinear estimation algorithms , 1997, Autom..

[26]  Hongren Zhou Tracking of Maneuvering Targets. , 1984 .