— This paper presents a visual based localization mechanism for a legged robot. Our proposal, fundamented on a probabilistic approach, uses a precompiled topological map where na...
We demonstrate how to leverage a system’s capability for allto-all communication to achieve an exponential speed-up of local algorithms despite bandwidth and memory restrictions...
We describe a real-time, low-cost system to localize a mobile robot in outdoor environments. Our system relies on stereo vision to robustly estimate frame-to-frame motion in real ...
We present a motion classification approach to detect movements of interest (abnormal motion) based on local feature modeling within spatio-temporal detectors. The modeling is pe...
This paper presents a novel method to approximate shiftvariant Gaussian filtering of an image using a set of shiftinvariant Gaussian filters. This approximation affords filtering ...