This paper presents a logical account of sensor data assimilation in a mobile robot, based on abduction. Unlike previous work, the present formulation handles sensor noise as well...
Spectrum sensing is a challenging key component of the Cognitive Radio paradigm, since primary signals must be detected in the face of noise uncertainty and at signal-to-noise rat...
We propose a new methodology for fusing temporally changing multisensor raster and vector data by developing a spatially and temporally varying uncertainty model of acquired and t...
We develop an optical flow estimation framework that focuses on motion estimation over time formulated in a Dynamic Bayesian Network. It realizes a spatiotemporal integration of ...
Volker Willert, Marc Toussaint, Julian Eggert, Edg...
Mesh architectures are used to distribute critical global signals on a chip, such as clock and power/ground. Redundancy created by mesh loops smooths out undesirable variations be...