— The detection of features from Light Detection and Ranging (LIDAR) data is a fundamental component of featurebased mapping and SLAM systems. Existing detectors tend to exploit ...
In the past few years, some nonlinear dimensionality reduction (NLDR) or nonlinear manifold learning methods have aroused a great deal of interest in the machine learning communit...
Abstract. We demonstrate that it is possible to achieve accurate localization and tracking of a target in a randomly placed wireless sensor network composed of inexpensive componen...
Radhika Nagpal, Howard E. Shrobe, Jonathan Bachrac...
In the past decade or so, subspace methods have been largely used in face recognition ? generally with quite success. Subspace approaches, however, generally assume the training d...
— This work presents an UWB testbed for reduced data rates with capabilities of measuring range and location. The transmitter uses Time Hopping spread spectrum codes to reduce th...