Abstract: The paper summarizes a maneuvering target tracking using a tracking filter with constant velocity and constant angular velocity model. A constant velocity model or a constant acceleration ...

Abstract: Pedestrian motion prediction is a fundamental task for autonomous robots and vehicles to operate safely. In recent years many complex approaches based on neural networks have been proposed ...

Come to lab (hopefully not late). Most likely listen to a boring (but short) lecture that seems similar to stuff that was also covered in lecture class – but it’s still confusing. Look at some new ...

In many physics problems, we simply ignore the air drag force. Why? Because of two reasons. First, the effects of air drag are often small when dealing with falling balls and rolling carts (a staple ...

What is a Kalman Filter? A Kalman filter is an optimal estimation algorithm that uses a series of measurements observed over time, containing noise and other inaccuracies, and produces estimates of ...