Multi-Sensor Joint Adaptive Birth Sampler for Labeled Random Finite Set Tracking
Author:
Affiliation:
1. Lockheed Martin Advanced Technology Labs, Cherry Hill, NJ, USA
2. Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY, USA
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Signal Processing
Link
http://xplorestaging.ieee.org/ielx7/78/9675017/09716874.pdf?arnumber=9716874
Reference55 articles.
1. Robust Distributed Fusion With Labeled Random Finite Sets
2. Computationally Efficient Multi-Agent Multi-Object Tracking With Labeled Random Finite Sets
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4. Centralized Cooperative Sensor Fusion for Dynamic Sensor Network With Limited Field-of-View via Labeled Multi-Bernoulli Filter
5. Adaptive δ-Generalized Labeled Multi-Bernoulli Filter for Multi-Object Detection and Tracking
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