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1. Random Matrix-based Tracking of Rectangular Extended Objects with Contour Measurements NSTL国家科技图书文献中心

Simon Steuernagel | Kolja Thormann ... - 《2024 27th International Conference on Information Fusion》 - International Conference on Information Fusion - 2024, - 1～8 - 共8页

摘要：A widely-used approach for extended object | tracking is based on random matrices, where the | scattering matrix, i.e., measurement spread, is used to | update a symmetric positive definite random matrix | representing an elliptic extent. However, for lidar data, a

关键词： Symmetric matrices | Laser radar | Target tracking | Shape | Estimation | Scattering | Object tracking | Sparse matrices | Clutter | Standards

2. Asymptotic Analysis of Uncertain Naïve Bayes via Second-Order Probabilities NSTL国家科技图书文献中心

Lance M. Kaplan | James Z. Hare - 《2024 27th International Conference on Information Fusion》 - International Conference on Information Fusion - 2024, - 1～8 - 共8页

摘要：Likelihood fusion is a special case of | Bayesian networks known as naïve Bayes. It is well known | that as the number of observations goes to infinity | with known likelihoods, the aleatoric uncertainty of | the queried (or parent) variable goes to zero, and

关键词： Training | Uncertainty | Training data | Probabilistic logic | Cognition | Bayes methods | Convergence

3. A Probabilistic Focalization Approach for Single Receiver Underwater Localization NSTL国家科技图书文献中心

Luisa Watkins | Pietro Stinco ... - 《2024 27th International Conference on Information Fusion》 - International Conference on Information Fusion - 2024, - 1～6 - 共6页

摘要：We introduce a Bayesian estimation approach | for the passive localization of an acoustic source | in shallow water using a single mobile receiver | . The proposed probabilistic focalization method | estimates the time-varying source location in the presence

关键词： Location awareness | Adaptation models | Uncertainty | Receivers | Predictive models | Probabilistic logic | Acoustic measurements | Acoustics | Bayes methods | Water resources

4. A Computationally Efficient Multi-Channel Multi-Pulse Coherent Fusion Algorithm for High-Speed Target Detection NSTL国家科技图书文献中心

Desheng Chen | Xiaolong Li ... - 《2024 27th International Conference on Information Fusion》 - International Conference on Information Fusion - 2024, - 1～6 - 共6页

摘要：Compared with the monostatic radar which only | performs signal fusion in the multi-pulse dimension, the | bistatic multiple-input multiple-output (MIMO) radar can | also fuse multi-channel signals to improve the | detection ability of high-speed moving targets. However

关键词： Fourier transforms | MIMO radar | Computational modeling | Spaceborne radar | Radon | Radar detection | Computational efficiency | Topology | MIMO communication | Signal to noise ratio

5. LiDAR Point Cloud-Based Multiple Vehicle Tracking with Probabilistic Measurement-Region Association NSTL国家科技图书文献中心

Guanhua Ding | Jianan Liu ... - 《2024 27th International Conference on Information Fusion》 - International Conference on Information Fusion - 2024, - 1～8 - 共8页

摘要：Multiple extended target tracking (ETT) has | gained increasing attention due to the development of | high-precision LiDAR and radar sensors in automotive | applications. For LiDAR point cloud-based vehicle tracking | , this paper presents a probabilistic measurement

关键词： Target tracking | Laser radar | Accuracy | Simulation | Estimation | Filtering algorithms | Radar tracking | Probabilistic logic | Particle measurements | Information filters

6. mmWave Radar and Image Fusion for Depth Completion: a Two-Stage Fusion Network NSTL国家科技图书文献中心

Tieshuai Song | Bin Yang ... - 《2024 27th International Conference on Information Fusion》 - International Conference on Information Fusion - 2024, - 1～7 - 共7页

摘要：Pixel-wise depth completion using multi-sensor | fusion is crucial in areas such as autonomous driving | . While LiDAR and image fusion methods exhibit | reliability, it can face challenges in adverse weather | conditions, such as rain and fog. In contrast, mmWave radar

关键词： Point cloud compression | Training | Rain | Radar | Radar imaging | Feature extraction | Reliability | Millimeter wave communication | Image fusion | Signal to noise ratio

7. A Federated Learning Mechanism with Feature Drift for Feature Distribution Skew NSTL国家科技图书文献中心

Jihao Yang | Xinyang Deng ... - 《2024 27th International Conference on Information Fusion》 - International Conference on Information Fusion - 2024, - 1～7 - 共7页

摘要：Federated learning is a nascent distributed | machine learning paradigm that enables multiple clients | to collaborate in training a model for a specific | task under the coordination of a central server, all | while safeguarding the privacy of the users local data

关键词： Training | Data privacy | Federated learning | Distributed databases | Data models | Servers

8. A Monte Carlo Tree Search Framework for Autonomous Source Term Estimation in Stone Soup NSTL国家科技图书文献中心

Timothy J Glover | Rohit V. Nanavati ... - 《2024 27th International Conference on Information Fusion》 - International Conference on Information Fusion - 2024, - 1～8 - 共8页

摘要：Source term estimation of a hazardous release | remains a topic of significant interest in the robotics | and state estimation communities, with application | to many safety critical scenarios including gas or | nuclear release, locating suspicious smells or response

关键词： Monte Carlo methods | Tracking | Estimation | Position measurement | Robot sensing systems | Planning | Sensors | Safety | Time factors | State estimation

9. Conservative Compression of Information Matrices using Event-Triggering and Robust Optimization NSTL国家科技图书文献中心

Christopher Funk | Benjamin Noack - 《2024 27th International Conference on Information Fusion》 - International Conference on Information Fusion - 2024, - 1～8 - 共8页

摘要：Distributed sensor fusion requires the | transmission of intermediate fusion results, consisting of | point estimates and associated error covariance or | information matrices. Bandwidth constraints necessitate data | compression techniques for error covariance and information

关键词： Sufficient conditions | Simultaneous localization and mapping | Accuracy | Pipelines | Receivers | Sensor fusion | Information filters | Eigenvalues and eigenfunctions | Covariance matrices | Optimization

10. Optical Flow for Drone Horizontal Velocity Estimation without GPS NSTL国家科技图书文献中心

Djedjiga Belfadel | David Haessig - 《2024 27th International Conference on Information Fusion》 - International Conference on Information Fusion - 2024, - 1～8 - 共8页

摘要：Unmanned aerial vehicles (UAVs) are widely | used in military and civilian applications, such as | surveillance, disaster monitoring, and rescue missions. They | rely heavily on global positioning systems (GPS) for | navigation. However, the accuracy and availability of GPS

关键词： Accuracy | Dead reckoning | Navigation | Sensor fusion | Autonomous aerial vehicles | Sensor systems | Sensors | Optical sensors | Optical flow | Global Positioning System

摘要：A widely-used approach for extended object | tracking is based on random matrices, where the | scattering matrix, i.e., measurement spread, is used to | update a symmetric positive definite random matrix | representing an elliptic extent. However, for lidar data, a

关键词： Symmetric matrices | Laser radar | Target tracking | Shape | Estimation | Scattering | Object tracking | Sparse matrices | Clutter | Standards

摘要：Likelihood fusion is a special case of | Bayesian networks known as naïve Bayes. It is well known | that as the number of observations goes to infinity | with known likelihoods, the aleatoric uncertainty of | the queried (or parent) variable goes to zero, and

关键词： Training | Uncertainty | Training data | Probabilistic logic | Cognition | Bayes methods | Convergence

摘要：We introduce a Bayesian estimation approach | for the passive localization of an acoustic source | in shallow water using a single mobile receiver | . The proposed probabilistic focalization method | estimates the time-varying source location in the presence

关键词： Location awareness | Adaptation models | Uncertainty | Receivers | Predictive models | Probabilistic logic | Acoustic measurements | Acoustics | Bayes methods | Water resources

摘要：Compared with the monostatic radar which only | performs signal fusion in the multi-pulse dimension, the | bistatic multiple-input multiple-output (MIMO) radar can | also fuse multi-channel signals to improve the | detection ability of high-speed moving targets. However

关键词： Fourier transforms | MIMO radar | Computational modeling | Spaceborne radar | Radon | Radar detection | Computational efficiency | Topology | MIMO communication | Signal to noise ratio

摘要：Multiple extended target tracking (ETT) has | gained increasing attention due to the development of | high-precision LiDAR and radar sensors in automotive | applications. For LiDAR point cloud-based vehicle tracking | , this paper presents a probabilistic measurement

关键词： Target tracking | Laser radar | Accuracy | Simulation | Estimation | Filtering algorithms | Radar tracking | Probabilistic logic | Particle measurements | Information filters

摘要：Pixel-wise depth completion using multi-sensor | fusion is crucial in areas such as autonomous driving | . While LiDAR and image fusion methods exhibit | reliability, it can face challenges in adverse weather | conditions, such as rain and fog. In contrast, mmWave radar

关键词： Point cloud compression | Training | Rain | Radar | Radar imaging | Feature extraction | Reliability | Millimeter wave communication | Image fusion | Signal to noise ratio

摘要：Federated learning is a nascent distributed | machine learning paradigm that enables multiple clients | to collaborate in training a model for a specific | task under the coordination of a central server, all | while safeguarding the privacy of the users local data

关键词： Training | Data privacy | Federated learning | Distributed databases | Data models | Servers

摘要：Source term estimation of a hazardous release | remains a topic of significant interest in the robotics | and state estimation communities, with application | to many safety critical scenarios including gas or | nuclear release, locating suspicious smells or response

关键词： Monte Carlo methods | Tracking | Estimation | Position measurement | Robot sensing systems | Planning | Sensors | Safety | Time factors | State estimation

摘要：Distributed sensor fusion requires the | transmission of intermediate fusion results, consisting of | point estimates and associated error covariance or | information matrices. Bandwidth constraints necessitate data | compression techniques for error covariance and information

关键词： Sufficient conditions | Simultaneous localization and mapping | Accuracy | Pipelines | Receivers | Sensor fusion | Information filters | Eigenvalues and eigenfunctions | Covariance matrices | Optimization

摘要：Unmanned aerial vehicles (UAVs) are widely | used in military and civilian applications, such as | surveillance, disaster monitoring, and rescue missions. They | rely heavily on global positioning systems (GPS) for | navigation. However, the accuracy and availability of GPS

关键词： Accuracy | Dead reckoning | Navigation | Sensor fusion | Autonomous aerial vehicles | Sensor systems | Sensors | Optical sensors | Optical flow | Global Positioning System

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