Multi-sensor tracking with partly overlapping FoV using detection field of probability modeling and the GLMB filter

被引：3
|
作者：
Liu, Weifeng [1 ,2 ]
Liu, Qiliang [1 ]
Chen, Yimei [2 ]
Cui, Hailong [2 ]
机构：
[1] Shaanxi Univ Sci & Technol, Sch Elect & Control Engn, Xian, Peoples R China
[2] Hangzhou Dian Univ, Sch Automat, Hangzhou, Peoples R China
来源：
EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING | 2023年 / 2023卷 / 01期
关键词：
Target tracking; Multi-sensor; Partly overlapping FoV; Labeled random finite sets; The GLMB filter; RANDOM FINITE SETS; TARGET TRACKING; PHD FILTERS; MULTITARGET; FUSION; ALLOCATION; ALGORITHM;
D O I：
10.1186/s13634-022-00962-4
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, we consider multi-sensor with partly overlapping field of view (FoV) in the labeled random finite set (L-RFS) framework. This is different from most existing multi-sensor tracking algorithms, where the sensors are assumed to have the same FoV. We describe the partly overlapping FoV by modeling probability field of detection for individual sensors in whole observation area and can be seen as the same range of FoV. We consider all these using generalized labeled multi-Bernoulli filter in labeled RFS framework. Besides, we also propose a measurement-driven target birth model. Finally, the effectiveness of the proposed algorithm is verified by experiments.
引用
收藏
页数：21
相关论文
共 50 条
  • [11] Multi-sensor moving target tracking using particle filter
    Liu, Guocheng
    Wang, Yongji
    2007 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS, VOLS 1-5, 2007, : 668 - 673
  • [12] Tracking filter and multi-sensor data fusion
    Girija, G
    Raol, JR
    Raj, RA
    Kashyap, S
    SADHANA-ACADEMY PROCEEDINGS IN ENGINEERING SCIENCES, 2000, 25 (2): : 159 - 167
  • [13] Tracking filter and multi-sensor data fusion
    Girija, G.
    Raol, J.R.
    Raj, R.Appavu
    Kashyap, Sudesh
    Sadhana - Academy Proceedings in Engineering Sciences, 2000, 25 (02) : 159 - 167
  • [14] Tracking filter and multi-sensor data fusion
    G. Girija
    J. R. Raol
    R. Appavu raj
    Sudesh Kashyap
    Sadhana, 2000, 25 : 159 - 167
  • [15] Efficient box particle implementation of the multi-sensor GLMB filter in the presence of triple measurement uncertainty
    Chen, Nanqi
    Ji, Hongbing
    Gao, Yongchan
    SIGNAL PROCESSING, 2019, 162 : 307 - 316
  • [16] CurbScan: Curb Detection and Tracking Using Multi-Sensor Fusion
    Baek, Iljoo
    Tai, Tzu-Chieh
    Bhat, Manoj Mohan
    Ellango, Karun
    Shah, Tarang
    Fuseini, Kamal
    Rajkumar, Ragunathan
    2020 IEEE 23RD INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC), 2020,
  • [17] MULTI-SENSOR HUMAN TRACKING WITH THE BAYESIAN OCCUPANCY FILTER
    Ros, Julien
    Mekhnacha, Kamel
    2009 16TH INTERNATIONAL CONFERENCE ON DIGITAL SIGNAL PROCESSING, VOLS 1 AND 2, 2009, : 832 - 839
  • [18] Target type probability combining algorithms for multi-sensor tracking
    Wigren, T
    SIGNAL PROCESSING, SENSOR FUSION, AND TARGET RECOGNITION X, 2001, 4380 : 46 - 62
  • [19] Multitarget Detection and Tracking using Multi-Sensor Passive Acoustic Data
    Kreucher, Christopher M.
    Shapo, Benjamin
    Bethel, Roy
    2009 IEEE AEROSPACE CONFERENCE, VOLS 1-7, 2009, : 1696 - +
  • [20] Tracking of targets of interest using labeled multi-Bernoulli filter with multi-sensor control
    Panicker, Sabita
    Gostar, Amirali Khodadadian
    Bab-Hadiashar, Alireza
    Hoseinnezhad, Reza
    SIGNAL PROCESSING, 2020, 171 (171)
12345