MathWorks has introduced Sensor Fusion and Tracking Toolbox, which is now available as part of Release 2018b. The new toolbox equips engineers working on autonomous systems in aerospace and defense, ...

In this repository, Multidimensional Kalman Filter and sensor fusion are implemented to predict the trajectories for constant velocity model. Data is extracted from GPS and Accelerometer using mobile ...

Understanding Sensor Fusion and Tracking, Part 1Understanding Sensor Fusion and Tracking, Part 1 This Matlab video explains the concept of sensor fusion and its importance to applications such as ...

MathWorks has introduced the Sensor Fusion and Tracking Toolbox, which will now be available as part of Release 2018b.

Understanding Sensor Fusion and Tracking, Part 3 The third installment of this Matlab video series examines fusing sensor inputs from both a GPS and an IMU.

This chapter provides an in‐depth look at sensor fusion methods and algorithms, starting with an introduction to the estimation philosophy that guides the design of fusion systems. It covers the Gauss ...

Chapter Abstract: Summary The final chapter introduces learning‐based fusion methods, emphasizing recent trends and applications of AI and machine learning in sensor fusion for robotic positioning, ...