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Highway Travel Time Estimation With Data Fusion

than the original inputs, overcoming some of the drawbacks of travel-time estimations based on unique data sources. The developed methodology;

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Multisensor Fusion Estimation Theory and Application

This book focuses on the basic theory and methods of multisensor data fusion state estimation and its application. It consists of four;

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Multisensor Attitude Estimation

association, correlation, estimation, and combination of data and information from several sources. Data fusion for attitude estimation is motivated;

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Computer-Aided Highway Engineering

Computer Aided Highway Engineering is aimed at developing professional knowledge in the field of highway engineering with adequate skills;

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Statistical Data Fusion

on data fusion will surely find this book very helpful and I will use this book in studying with my PhD students.'Journal of the American;

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Cognitive Fusion for Target Tracking

enhances estimation performance. This work reviews cognitive systems and presents a cognitive fusion framework for sequential state estimation;

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Decentralized Estimation and Control for Multisensor Systems

locally. A decentralized data fusion system includes a network of sensor nodes - each with its own processing facility, which together do not;

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Distributed Data Fusion for Network-Centric Operations

buildings and defense. Drawing on the work of leading experts around the world, Distributed Data Fusion for Network-Centric Operations examines the;

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Networked Filtering and Fusion in Wireless Sensor Networks

theory and highly efficient algorithms in estimation fusion to open up discussion and provide researchers with an ideal starting point for;

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Networked Filtering and Fusion in Wireless Sensor Networks

theory and highly efficient algorithms in estimation fusion to open up discussion and provide researchers with an ideal starting point for;

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Accurate Estimation of Travel Times from the Traffic Data

algorithm for automatic estimation of travel times on a motorway from the extracted traffic data using aerial image sequences. The used aerial image;

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Multirate Statistical Signal Processing

allows for the formulation and solution of new problems: spectrum estimation, time-delay estimation and sensor fusion in the realm of multirate;

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Nonlinear Time Series

semiparametric estimation and specification methods and then applies these approaches to a class of nonlinear continuous-time models with real-world data;

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Nonlinear Time Series

semiparametric estimation and specification methods and then applies these approaches to a class of nonlinear continuous-time models with real-world data;

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Spectral Analysis of Signals

-data sequences. However, the spectral estimation for data sequences with missing samples is also important in many applications ranging from;

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Data Fusion: Concepts and Ideas

knowledge of multi-sensor data fusion is assumed, although some familarity with the basic tools of linear algebra, calculus and simple probability;

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Principles of Highway Engineering and Traffic Analysis

. In-depth coverage of highway engineering and traffic analysis, road vehicle performance, traffic flow and highway capacity, pavement design, travel;

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Multisensor Data Fusion

Multisensor Data Fusion: From Algorithms and Architectural Design to Applications covers the contemporary theory and practice;

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Multisensor Data Fusion

materials and achievements in optimal fusion and multisensor filters Discusses the advantages and challenges associated with multisensor data;

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Estimation of Spatial Panels

and unstable dynamic models with fixed effects will be considered. The estimation methods are illustrated with two relevant empirical;

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ITS Sensors and Architectures for Traffic Management and Connected Vehicles

freeway metering and dispatching of emergency response providers. As traffic flow sensors are integrated with big data sources such as connected;

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ITS Sensors and Architectures for Traffic Management and Connected Vehicles

freeway metering and dispatching of emergency response providers. As traffic flow sensors are integrated with big data sources such as connected;

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Data Fusion and Data Mining for Power System Monitoring

fusion techniques are reviewed, with emphasis on the analysis and visualization of massive distributed data sets. Challenges involved;

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Data Fusion and Data Mining for Power System Monitoring

fusion techniques are reviewed, with emphasis on the analysis and visualization of massive distributed data sets. Challenges involved;

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Traffic Simulation and Data

complete overview of traffic data collection, state estimation, calibration and validation for traffic modelling and simulation. It derives from;

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Traffic Simulation and Data

complete overview of traffic data collection, state estimation, calibration and validation for traffic modelling and simulation. It derives from;

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Data Fusion Mathematics

, processes, methods, and approaches in data fusion that can help you with integrating DF mathematics and achieving higher levels of fusion activity;

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