References
- Tuncer, B., Orguner, U., Ozkan, E., 2022, Multi-Ellipsoidal Extended Target Tracking With Variational Bayes Inference, IEEE Transactions on Signal Processing 70 3921-3934. https://doi.org/10.1109/TSP.2022.3192617
- Kuutti, S., Fallah, S., Katsaros, K., Dianati, M., Mccullough, F., Mouzakitis, A., 2018, A Survey of the State-of-the-Art Localization Techniques and Their Potentials for Autonomous Vehicle Applications, IEEE Internet of Things Journal 5:2 829-846. https://doi.org/10.1109/JIOT.2018.2812300
- Gallego, G., Lund, J. E.A., Mueggler, E., Rebecq, H., Delbruck, T., Scaramuzza, D., 2018, Event-Based, 6-DOF Camera Tracking from Photometric Depth Maps, IEEE Transactions on Pattern Analysis and Machine Intelligence 20:10 2402-2412. https://doi.org/10.1109/TPAMI.2017.2769655
- Daum, F., 2005, Nonlinear filters: beyond the Kalman filter, IEEE Aerospace and Electronic Systems Magazine 20:8 57-69. https://doi.org/10.1109/MAES.2005.1499276
- Li, T., Sun, S., Sattar, T. P., Corchado, J. M., 2014, Fight sample degeneracy and impoverishment in particle filters: A review of intelligent approaches, Expert Systems with Applications 41:8 3944-3954. https://doi.org/10.1016/j.eswa.2013.12.031
- Dunik, J., Sotak, M., Vesely, M., Straka, O., Hawkinson, W., 2019, Design of Rao-Blackwellized Point-Mass Filter With Application in Terrain Aided Navigation, IEEE Transactions on Aerospace and Electronic Systems 55:1 251-272. https://doi.org/10.1109/TAES.2018.2850210
- Park, J., Park, Y.-g., Park, C. G., 2020, Parameter Estimation of Radar Noise Model for Terrain Referenced Navigation Using a New EM Initialization Method, IEEE Transactions on Aerospace and Electronic Systems 56:1 107-112. https://doi.org/10.1109/TAES.2019.2911766
- Anonsen, K.B., Hallingstad, O., 2006, Terrain Aided Underwater Navigation Using Point Mass and Particle Filters, 2006 IEEE/ION Position, Location, And Navigation Symposium 1027-1035.
- Jeon, H. C., Park, W. J., Park, C. G., 2018, Grid Design for Efficient and Accurate Point Mass Filter-Based Terrain Referenced Navigation, IEEE Sensors Journal 18:4 1731-1738. https://doi.org/10.1109/JSEN.2017.2779463
- Vaman, D., 2012, TRN history, trends and the unused potential, 2012 IEEE/AIAA 31st Digital Avionics Systems Conference (DASC) 1A3-1-1A3-16.
- Yoo, Y. M., Park, C. G., 2015, Improvement of terrain referenced navigation using a Point Mass Filter with grid adaptation, International Journal of Control, Automation and Systems 13:5 1173-1181. https://doi.org/10.1007/s12555-013-0410-4
- Choe, Y., 2022, Numerical Methods for the Nonlinear Bayesian Filtering Problem of Terrain Referenced Navigation: Efficiency and Robustness Perspectives, Doctorate Thesis, Seoul National University, Republic of Korea.
- Choe, Y., Park, C. G. 2021, Point-Mass Filtering With Boundary Flow and Its Application to Terrain Referenced Navigation, IEEE Transactions on Aerospace and Electronic Systems 57:6 3600-3613. https://doi.org/10.1109/TAES.2021.3079585
- Bergman, N., 1999, Recursive Bayesian Estimation - Navigation and Tracking Applications, Doctorate Thesis, Linkoping University, Sweden.
- Park, Y.-G., Park, C. G., 2018, Grid Support Adaptation for Point Mass Filter Based Terrain Referenced Navigation Using Mutual Information, IEEE Sensors Journal 18:18 7603-7610. https://doi.org/10.1109/JSEN.2018.2862941
- Matousek, J., Dunik, J., Straka, O., 2020, Density Difference Grid Design in a Point-Mass Filter, Energies 13:16 4080.
- Simandl, M., Kralovec, J., Soderstrom, T., 2006, Advanced point-mass method for nonlinear state estimation, Automatica 42:7 1133-1145. https://doi.org/10.1016/j.automatica.2006.03.010
- Simandl, M., Kralovec, J., Soderstrom, T., 2002, Anticipative grid design in point-mass approach to nonlinear state estimation, IEEE Transactions on Automatic Control 47:4 699-702. https://doi.org/10.1109/9.995053
- Dunik, J., Straka, O., Matousek, J., 2020, Conditional Density Driven Grid Design in Point-Mass Filter, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 9180-9184.
- Dunik, J., Straka, O.. Matousek, J.. Blasch, E., 2020, Copula-based convolution for fast point-mass prediction, Signal Processing 192 108367.
- Tichavsky, P., Straka, O., Dunik, J., 2020, Grid-Based Bayesian Filters With Functional Decomposition of Transient Density, IEEE Transactions on Signal Processing 71 92-104. https://doi.org/10.1109/TSP.2023.3240359
- Dunik, J., Straka, O., Matousek, J., Brandner, M., 2021, Accurate Density-Weighted Convolution for Point-Mass Filter and Predictor, IEEE Transactions on Aerospace and Electronic Systems 57:6 3574-3584. https://doi.org/10.1109/TAES.2021.3079568