Optimization of particle CBMeMBer filters for hardware implementation
It is a promising solution for real-time multitarget tracking to implement particle cardinality
balanced multitarget multi-Bernoulli (CBMeMBer) filters in hardware platforms. However, this …
balanced multitarget multi-Bernoulli (CBMeMBer) filters in hardware platforms. However, this …
[HTML][HTML] Variational Bayesian labeled multi-Bernoulli filter with unknown sensor noise statistics
Q Hao, H Gaoming, G Jun - Chinese Journal of Aeronautics, 2016 - Elsevier
It is difficult to build accurate model for measurement noise covariance in complex
backgrounds. For the scenarios of unknown sensor noise variances, an adaptive multi-target …
backgrounds. For the scenarios of unknown sensor noise variances, an adaptive multi-target …
Robust labeled multi-Bernoulli filter with inaccurate noise covariances
Y Lian, F Lian, L Hou - 2022 25th International Conference on …, 2022 - ieeexplore.ieee.org
In this paper, a robust labeled multi-Bernoulli (RLMB) filter for the multi-target tracking (MTT)
scenarios with inaccurate and time-varying process and measurement noise covariances is …
scenarios with inaccurate and time-varying process and measurement noise covariances is …
A variational Bayesian labeled multi-Bernoulli filter for tracking with inverse Wishart distribution
J Wang, Z Jing, P Dong, J Cheng - 2018 21st International …, 2018 - ieeexplore.ieee.org
In multi-target tracking (MTT), the imprecise model for sensor characteristics might result in
poor performance. The Variational Bayesian labeled multi-Bernoulli (VB-LMB) filter based …
poor performance. The Variational Bayesian labeled multi-Bernoulli (VB-LMB) filter based …