1 |
BLACKMAN S S . Multiple hypothesis tracking for multiple target tracking[J]. IEEE Aerospace and Electronic Systems Magazine, 2004, 19 (1): 5- 18.
doi: 10.1109/MAES.2004.1263228
|
2 |
VO B N , MALLICK M , BAR-SHALOM Y , et al. Multitarget tracking[M]. London: Wiley, 2015.
|
3 |
BEARD M , VO T B , VO N B . A solution for large-scale multi-object tracking[J]. IEEE Trans.on Signal Processing, 2020, 68, 2754- 2769.
doi: 10.1109/TSP.2020.2986136
|
4 |
ZHANG Y Q , JI H B , HU Q . A fast ellipse extended target PHD filter using box-particle implementation[J]. Mechanical Systems and Signal Processing, 2018, 99, 57- 72.
doi: 10.1016/j.ymssp.2017.05.044
|
5 |
GAN L H , WANG G . Tracking the splitting and combination of group target with δ-generalized labeled multi-bernoulli filter[J]. IEEE Access, 2019, 7, 81156- 81176.
doi: 10.1109/ACCESS.2019.2923757
|
6 |
LUO Z H. Object tracking for automatic driving[C]//Proc. of the 2nd International Conference on Computing and Data Science, 2021: 265-269.
|
7 |
YU Q Z , WANG B W , SU Y M . Object detection-tracking algorithm for unmanned surface vehicles based on a radar-photoelectric system[J]. IEEE Access, 2021, 9, 57529- 57541.
doi: 10.1109/ACCESS.2021.3072897
|
8 |
BONIN-FONT F , ORTIZ A , OLIVER G . Visual navigation for mobile robots: a survey[J]. Journal of Intelligent and Robotic Systems, 2008, 53 (3): 263- 296.
doi: 10.1007/s10846-008-9235-4
|
9 |
KANEZAKI A , NITTA J , SASAKI Y . Goselo: goal-directed obstacle and self-location map for robot navigation using reactive neural networks[J]. IEEE Robotics and automation letters, 2017, 3 (2): 696- 703.
|
10 |
ESTER M, KRIEGEL H P, SANDER J, et al. A density-based algorithm for discovering clusters in large spatial databases with noise[C]//Proc. of the Conference on Knowledge Discovery and Data Mining 1996, 96(34): 226-231.
|
11 |
FORTUNATO E, KREAMER W, MORI S, et al. Generalized murty's algorithm with application to multiple hypothesis tracking[C]//Proc. of the 10th International Conference on Information Fusion. Quebec, QC, Canada: IEEE Press, 2007.
|
12 |
MAHLER R . Statistical multisource-multitarget information fusion[M]. Boston: Artech House, 2007.
|
13 |
GARCÍA-FERNÁNDEZ Á F , SVENSSON L , WILLIAMS J L , et al. Trajectory poisson multi-Bernoulli filters[J]. IEEE Trans.on Signal Processing, 2020, 68, 4933- 4945.
doi: 10.1109/TSP.2020.3017046
|
14 |
GRANSTRÖM K, SVENSSON L, XIA Y X, et al. Poisson multi-Bernoulli mixture trackers: continuity through random finite sets of trajectories[C]//Proc. of the 21st International Conference on Information Fusion, 2018.
|
15 |
XIA Y X, GRANSTRÖM K, SVENSSON L, et al. Extended target Poisson multi-Bernoulli mixture trackers based on sets of trajectories[C]//Proc. of the 22th International Conference on Information Fusion, 2019.
|
16 |
KOCH J W . Bayesian approach to extended object and cluster tracking using random matrices[J]. IEEE Trans.on Aerospace and Electronic Systems, 2008, 44 (3): 1042- 1059.
doi: 10.1109/TAES.2008.4655362
|
17 |
BAUM M, HANEBECK U D. Random hypersurface models for extended object tracking[C]//Proc. of the IEEE International Symposium on Signal Processing and Information Technology, 2009: 178-183.
|
18 |
KAULBERSCH H, BAUM M, WILLETT P. EM approach for tracking star-convex extended objects[C]//Proc. of the 20th International Conference on Information Fusion, 2017.
|
19 |
YANG J L , LI P , GE H W . Extended target shape estimation by fitting B-spline curve[J]. Journal of Applied Mathematics, 2014, 2014, 1- 9.
|
20 |
陈振, 李翠芸, 李想. B样条曲面三维扩展目标跟踪算法[J]. 西安电子科技大学学报, 2023, 50 (2): 101- 111.
|
|
CHEN Z , LI C Y , LI X . Algorithm for tracking the 3D extended target based on the B-spline surface[J]. Journal of Xidian University, 2023, 50 (2): 101- 111.
|
21 |
衡博文, 李翠芸, 李想. 基于MLS的三维扩展目标PMBM跟踪算法[J]. 系统工程与电子技术, 2023, 45 (11): 3411- 3418.
|
|
HENG B W , LI C Y , LI X . 3D extended target tracking algorithm based on moving least square[J]. Systems Engineering and Electronics, 2023, 45 (11): 3411- 3418.
|
22 |
宋骊平, 刘宇航, 程轩. 箱粒子PHD演化网络群目标跟踪算法[J]. 控制与决策, 2018, 33 (1): 74- 80.
|
|
SONG L P , LIU Y H , CHENG X . Box-particle evolution network PHD filter for group targets tracking[J]. Control and Decision, 2018, 33 (1): 74- 80.
|
23 |
程轩, 宋骊平, 姬红兵, 等. 标签箱粒子概率假设密度群目标跟踪算法[J]. 系统工程与电子技术, 2019, 41 (8): 1677- 1685.
|
|
CHENG X , SONG L P , JI H B , et al. Group target tracking algorithm based on labeled box particle probability hypothesis density[J]. Systems Engineering and Electronics, 2019, 41 (8): 1677- 1685.
|
24 |
VO B T , VO B N . Labeled random finite sets and multi-object conjugate priors[J]. IEEE Trans.on Signal Processing, 2013, 61 (13): 3460- 3475.
doi: 10.1109/TSP.2013.2259822
|
25 |
WILLIAMS J L . Marginal multi-Bernoulli filters: RFS derivation of MHT, JIPDA, and association-based MeMBer[J]. IEEE Trans.on Aerospace and Electronic Systems, 2015, 51 (3): 1664- 1687.
doi: 10.1109/TAES.2015.130550
|
26 |
GRANSTRÖM K, FATEMI M, SVENSSON L. Gamma Gaussian inverse-Wishart Poisson multi-Bernoulli filter for extended target tracking[C]//Proc. of the 19th International Conference on Information Fusion, 2016: 893-900.
|
27 |
GARCÍA-FERNÁNDEZ Á F , WILLIAMS J L , SVENSSON L , et al. A Poisson multi-Bernoulli mixture filter for coexisting point and extended targets[J]. IEEE Trans.on Signal Processing, 2021, 69, 2600- 2610.
doi: 10.1109/TSP.2021.3072006
|
28 |
SU Z Z , JI H B , ZHANG Y Q . Wipa Poisson multi-Bernoulli mixture filter with spawning based on Kullback-Leibler divergence minimization[J]. Chinese Journal of Aeronautics, 2021, 34 (11): 154- 168.
doi: 10.1016/j.cja.2020.11.015
|
29 |
DU H C , XIE W X , LIU Z X , et al. Track-oriented marginal Poisson multi-Bernoulli mixture filter for extended target tracking[J]. Chinese Journal of Electronics, 2023, 32 (5): 1106- 1119.
doi: 10.23919/cje.2021.00.194
|
30 |
GARCÍA-FERNÁNDEZ Á F , WILLIAMS J L , GRANS-TRÖ MK , et al. Poisson multi-Bernoulli mixture filter: direct derivation and implementation[J]. IEEE Trans.on Aerospace and Electronic Systems, 2018, 54 (4): 1883- 1901.
doi: 10.1109/TAES.2018.2805153
|
31 |
RAHMATHULLAH A S, GARCÍA-FERNÁNDEZ Á F, SVENSSON L. Generalized optimal sub-pattern assignment metric[C]//Proc. of the 20th International Conference on Information Fusion, 2017.
|