Sensor Fusion Based Position Estimation for Mobile Robots - Paperback
by Tamas Levente (Author)
The use of sensors for the mobile robots is an essential part in the context of autonomous navigation. The data processing from various sensors individually contribute to the environment perception for the mobile robot. Once the heterogeneous data is available, the information gain can be further more extended by fusing the data from different sensors. This can be achieved with various estimation techniques, like Kalman filtering. The fused data is especially useful for the position estimation, localization or mapping. This book covers both the theoretical and the practical details of the perception, localization and mapping based on sensor fusion for autonomous mobile robots.
Made with care and unconditionally loved by our customers, this signature bestseller exceeds all expectations.
Made with care and unconditionally loved by our customers, this signature bestseller exceeds all expectations.
At the heart of every product lies a unique story, driven by our passion for quality and innovation. Each item enhances your everyday life and sparks joy.