Mathematical Techniques in Multisensor Data Fusion, 2/e (Hardcover) (多感測器數據融合中的數學技術（第二版）)

Since the publication of the first edition of this groundbreaking book, advances in algorithms, logic, and software tools have transformed the field of data fusion. The latest edition covers these areas as well as smart agents, human computer interaction, cognitive aides to analysis, and data system fusion control.

Besides aiding you in selecting the appropriate algorithm for implementing a data fusion system, this book guides you through the process of determining the trade-offs among competing data fusion algorithms, selecting commercial off the shelf (COTS) tools, and understanding when data fusion improves systems processing. Completely new chapters in this second edition explain data fusion system control, DARPA’s recently developed TRIP model, and the latest applications of data fusion in data warehousing and medical equipment, as well as defense systems.