Dr. Mohamed M. Atia, an Associate Professor in the Department of Systems and Computer Engineering at Carleton University, has released a groundbreaking book titled “Sensor Fusion Approaches for Positioning, Navigation, and Mapping: How Autonomous Vehicles and Robots Navigate in the Real World.” This comprehensive text dives into the integration of multi-sensor technologies for positioning, navigation, and mapping, making it an essential read for students, researchers, and engineers in robotics and autonomous systems.
The book provides a holistic approach to sensor fusion, covering the integration of inertial sensors, radio positioning systems, LiDAR, radar, and visual sensors. Real-world case studies featuring ground vehicles, drones, and wearable devices illustrate the practical applications of these techniques.
Readers will benefit from hands-on learning tools, including block diagrams, solved problems, MATLAB examples, and guided tutorials. Topics such as state estimation, sensor fusion methods, and signal processing are presented alongside foundational concepts in linear algebra, kinematics, and stochastic systems.
Dr. Atia, with extensive academic and industry experience in signal processing and artificial intelligence, has designed the book to bridge the gap between theoretical concepts and practical applications. Engineers working in robotics and navigation systems will find the sensor fusion algorithms ready for implementation on real-world platforms.
“Sensor Fusion Approaches for Positioning, Navigation, and Mapping” is now available for purchase here.