Global navigation satellite systems (GNSS) are vital for positioning autonomous vehicles, buses, drones, and outdoor robots. Yet its accuracy often degrades in dense urban areas due to signal blockage ...

A new signal-processing approach delivers stable, sub-meter satellite positioning for autonomous systems where city interference usually breaks GNSS accuracy.

As semiconductor devices become more complex and the critical particle size for today’s cutting-edge technology nodes falls into the sub-10 nm size range, controlling and mitigating potentially ...

As the final course in the Applied Kalman Filtering specialization, you will learn how to develop the particle filter for solving strongly nonlinear state-estimation problems. You will learn about the ...

The proposed approach estimates position using a particle filter without integer ambiguity resolution, while a tightly coupled Kalman filter computes velocity from raw Doppler measurements.

The high-tech die casting industry relies on old-school steel-wool pad filters for vacuum systems that lead to unnecessary and long machine downtimes and high cold and warm scrap ratios. Dexwet ...