Peter Zulch

United States Air Force Research Laboratory — United States

Engineering · Physical Sciences

13h-index660citations64works0.72yr avg
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Research Topics

Radar Systems and Signal Processing(31), Advanced SAR Imaging Techniques(24), Target Tracking and Data Fusion in Sensor Networks(19), Direction-of-Arrival Estimation Techniques(13), Distributed Sensor Networks and Detection Algorithms(10)

Publications64 total

Constrain, Correspond, Correct: Distributed Game-Theoretic Data Association for Assignment Games on Multimodal Sensing Grids
2024
Multiagent Reinforcement Learning and Game-Theoretic Optimization for Autonomous Sensor Control
2024· 2 cited
Kernel Based Method for Distributed Feature Tracking of Real-world Targets
2024
Reinforcement Learning-based Autonomous Sensor Control via Simultaneous Learning of Policies and State-Action Spaces
2023· 3 cited
Optimizing Heterogeneous Platform Allocation Using Reinforcement Learning
2023· 1 cited
Kernel Based Method for Distributed Derived Feature Tracking in High Dimensions
2023· 3 cited
Online Reinforcement Learning for Autonomous Sensor Control
2023· 3 cited
Submodular Optimization via Reinforcement Learning for Active Control of Sensor Networks
2022 IEEE Aerospace Conference (AERO)·2022· 5 cited
Hardware Development for Joint Sparse Decentralized Heterogeneous Data Fusion for Target Estimation
2022 IEEE Aerospace Conference (AERO)·2022
A Survey of Multimodal Sensor Fusion for Passive RF and EO Information Integration
IEEE Aerospace and Electronic Systems Magazine·2021· 53 cited
On-Device Implementation of JML Based Decentralized Data Fusion with Non-Permissive Communications
2021· 3 cited
Machine Learning Multi-Modality Fusion Approaches Outperform Single-Modality & Traditional Approaches
2021· 8 cited
Heterogeneous Sensor Fusion With Out Of Sync Data
2020· 2 cited
Joint Sparsity Aided Joint Manifold Learning for Sensor Fusion
2020
Feature Level Sensor Fusion for Passive RF and EO Information Integration
2020· 12 cited
Joint-Sparse Heterogeneous Data Fusion for Target State Estimation with Weak Signals
2020· 1 cited
Multisource deep learning for situation awareness
2019· 5 cited
Automatic machine learning for target recognition
2019· 5 cited
ESCAPE Data Collection for Multi-Modal Data Fusion Research
2019· 33 cited
Joint-Sparse Decentralized Heterogeneous Data Fusion for Target Estimation
2019· 3 cited
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Frequent Co-authors

Erik Blasch(11), J.S. Goldstein(9), Ruixin Niu(9), Genshe Chen(9), Dan Shen(8), Jingyang Lu(8), Marcello DiStasio(7), Denis Garagić(7), Zhonghai Wang(6), Jacob Peskoe(6), Bradley J. Rhodes(6), I.S. Reed(4), Michael C. Wicks(4), Sofia Suvorova(4), Robert Ravier(4), Travis Galoppo(4), J.S. Bergin(3), Steven McNeil(3), Robert J. Hancock(3), Marcello Disasio(3)