Publicaciones en colaboración con investigadores/as de Osaka Institute of Technology (11)

2019

  1. Joint Smoothing and Tracking Based on Continuous-Time Target Trajectory Function Fitting

    IEEE Transactions on Automation Science and Engineering, Vol. 16, Núm. 3, pp. 1476-1483

  2. Partial consensus and conservative fusion of gaussian mixtures for distributed PHD fusion

    IEEE Transactions on Aerospace and Electronic Systems, Vol. 55, Núm. 5, pp. 2150-2163

  3. Second-order statistics analysis and comparison between arithmetic and geometric average fusion: Application to multi-sensor target tracking

    Information Fusion, Vol. 51, pp. 233-243

2018

  1. A Robust Multi-Sensor PHD Filter Based on Multi-Sensor Measurement Clustering

    IEEE Communications Letters, Vol. 22, Núm. 10, pp. 2064-2067

  2. Distributed Flooding-then-Clustering: A Lazy Networking Approach for Distributed Multiple Target Tracking

    2018 21st International Conference on Information Fusion, FUSION 2018

2017

  1. Clustering for filtering: Multi-object detection and estimation using multiple/massive sensors

    Information Sciences, Vol. 388-389, pp. 172-190

  2. Convergence of distributed flooding and its application for distributed Bayesian filtering

    IEEE Transactions on Signal and Information Processing over Networks, Vol. 3, Núm. 3, pp. 580-591

2016

  1. Algorithm design for parallel implementation of the SMC-PHD filter

    Signal Processing, Vol. 119, pp. 115-127

  2. Effectiveness of Bayesian filters: An information fusion perspective

    Information Sciences, Vol. 329, pp. 670-689

  3. Numerical fitting-based likelihood calculation to speed up the particle filter

    International Journal of Adaptive Control and Signal Processing, Vol. 30, Núm. 11, pp. 1583-1602

2015

  1. Resampling methods for particle filtering: identical distribution, a new method, and comparable study

    Frontiers of Information Technology and Electronic Engineering, Vol. 16, Núm. 11, pp. 969-984