Description
Sensor Fusion and Its Applications by Thomas C. provides an in-depth exploration of how multiple sensors can be combined to produce more accurate, reliable, and robust system outputs than any single sensor could achieve alone. The book covers fundamental principles of sensor fusion, including data integration techniques, algorithms, and real-world applications across diverse fields such as robotics, autonomous vehicles, aerospace, medical imaging, and environmental monitoring.
Readers will gain practical knowledge of various fusion methodologies, from basic averaging techniques to advanced Kalman filtering and machine learning approaches. The text balances theoretical foundations with practical implementation guidance, making it valuable for engineers, researchers, and professionals seeking to understand and apply sensor fusion technology in their respective domains.
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