— We present a motion planning scheme for ground vehicles operating in a partially known environment. Kinematic constraints stemming from vehicle dynamics and from the requiremen...
— In this paper we present a novel method for robot path planning based on learning motion patterns. A motion pattern is defined as the path that results from applying a set of ...
In robotic navigation, path planning is aimed at getting the optimum collision-free
path between a starting and target locations. The optimality criterion depends on
the surround...
When query optimizers erroneously assume that database columns are statistically independent, they can underestimate the selectivities of conjunctive predicates by orders of magni...
Ihab F. Ilyas, Volker Markl, Peter J. Haas, Paul G...
We propose a novel privacy-preserving support vector machine (SVM) classifier for a data matrix A whose input feature columns are divided into groups belonging to different entiti...