Abstract: Counting objects in crowded scenes remains a challenge to computer vision. The current deep learning based approach often formulate it as a Gaussian density regression problem. Such a ...

Abstract: Mapping and planning are fundamental to robotic navigation in unknown environments. This work introduces a probabilistic framework that combines Gaussian processes (GPs) for 2.5D object ...

As metropolitan areas continue to grow, road networks are being asked to handle far more traffic than they were originally designed to accommodate. Increased population density, longer commute times, ...