Long-term memory prediction extends motion compensation from the previous frame to several past frames with the result of increased coding efficiency. In this paper we demonstrate...
Thomas Wiegand, Eckehard G. Steinbach, Bernd Girod
Abstract— Randomized motion planning techniques are responsible for many of the recent successes in robot control. However, most motion planning algorithms assume perfect and com...
In this paper, we present a motion planning framework for a fully deployed autonomous unmanned aerial vehicle which integrates two sample-based motion planning techniques, Probabi...
When people move there are many visual and non-visual cues that can inform them about their movement. Simulating self motion in a virtual-reality environment thus needs to take th...
Laurence R. Harris, Michael Jenkin, Daniel C. Ziko...
This paper addresses the problem of estimating human body dynamics from 3-D visual data. That is, our goal is to estimate the state of the system, joint angle trajectories and velo...