Sensor Fusion Approaches for Positioning, Navigation, and Mapping: How Autonomous Vehicles and Robots Navigate in the Real World: With MATLAB Examples

"This important text explains the fundamental concepts, mathematical background, and practical implementation of sensor fusion in positioning and mapping technology. Sensor fusion extracts accurate information from multiple noisy sensors and is the driving force that powers up next generation connected and autonomous platforms such as self-driving cars, robots, drones, Internet of things (IoT), fitness/sports/health trackers and industrial automation. The book includes case studies on ground wheeled vehicles, drones, and ... Read More

"This important text explains the fundamental concepts, mathematical background, and practical implementation of sensor fusion in positioning and mapping technology. Sensor fusion extracts accurate information from multiple noisy sensors and is the driving force that powers up next generation connected and autonomous platforms such as self-driving cars, robots, drones, Internet of things (IoT), fitness/sports/health trackers and industrial automation. The book includes case studies on ground wheeled vehicles, drones, and wearable devices. Sample projects and codes and real sensor data will be provided along with a guide to Embedded Real-time Implementation to demonstrate the presented concepts and to provide engineers and researchers with hands-on training on sensor fusion. Readers are assumed to have a basic math, and high-level computer programming language, knowledge. The book will allow for reading the material, solving exercise problems, running sample codes. Advanced users can implement sensor fusion algorithms on embedded hardware systems using C language. The information contained in the book is core and it can be described as introductory"-- Provided by publisher. Read Less