Sensor Fusion and Tracking for Autonomous Systems: An Overview


Perception is at the core of research and development efforts for autonomous systems, and sensor fusion and multiobject tracking are critical components of perception systems. Fusing data from multiple sensors enables surveillance systems and autonomous systems to maintain position, orientation, and situational awareness.

Read eBook

The ebook describes:

The four general capabilities all autonomous systems need to have: sense, perceive, decide & plan, and act

Where sensor fusion fits within these capabilities

The benefits of multiple data sources and sensor fusion

 

Read this ebook to get a clear and succinct introduction to sensor fusion techniques and their benefits when designing autonomous systems.

Free Demo
sensor-fusion-and-tracking-autonomous-systems-ebook-thumbnail

30-Day Trial 

Develop Robotics and Autonomous Systems project with MATLAB, Simulink, and a full set of products for Deep Learning.

Download Trial