Kropfreiter, T., Meyer, F., & Hlawatsch, F. (2024). A Distributed Joint Integrated Probabilistic Data Association (JIPDA) Filter with Soft Object Association. In 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing: proceedings (pp. 12906–12910). https://doi.org/10.1109/ICASSP48485.2024.10447110
2024 IEEE International Conference on Acoustics, Speech, and Signal Processing: proceedings
-
ISBN:
979-8-3503-4485-1
-
Date (published):
2024
-
Event name:
2024 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
en
Event date:
14-Apr-2024 - 19-Apr-2024
-
Event place:
Seoul, Korea (the Republic of)
-
Number of Pages:
5
-
Keywords:
data fusion; distributed JIPDA filter; Distributed multiobject tracking; distributed multitarget tracking; probabilistic object association
en
Abstract:
We propose a distributed multisensor joint integrated probabilistic data association (JIPDA) filter for multiobject tracking in decentralized sensor networks. Conventional Chernoff fusion of the posterior multiobject distributions of neighboring sensors presupposes a correct “hard” association of the objects tracked at the sensors. To avoid detrimental effects of an incorrect hard association, we develop a fusion method based on probabilistic (“soft”) object association. Our numerical results demonstrate significant performance gains relative to the hard association approach.
en
Project title:
Selbstlokalisierung und Inferenz dynamischer Umgebungen: P 32055-N31 (FWF - Österr. Wissenschaftsfonds)
CC BY 4.0
