We present experimental data comparing the accuracy obtained for 2D and 3D scanning surfaces using CLEAN-SC deconvolution of beamformed acoustic maps. A spherical array is used to obtain recordings from a dense point cloud of sound source locations. Beamforming and CLEAN-SC acoustic maps are generated using traditional 2D scanning surfaces and 3D scanning surfaces corresponding to the surface g...

The assessment of relationships between satellite-derived vegetation indices and meteorological drought improves our understanding of how these indices respond to climatic changes. The combination of climate data and the Normalized Difference Vegetation Index (NDVI) product of Moderate Resolution Imaging Spectroradiometer (MODIS) imagery provided an opportunity to evaluate the impact of d...

Currently, the vast majority of autonomous mapping in robotics relies on direct measurements from costly devices such as sonar, infrared, and laser range finders. Adapting established methodologies from the structure−from−motion (SFM) subfield of computer vision to data commonly available in robotics, we have created a unique toolkit, able to render visually dense 3d maps from odometrically ann...

This paper is concerned with surface reconstruction from stereo image data. We do not explicitly match left and right image points, but use a new formulation of Disparity Space geometry to recover the object surface in terms of very dense Intensity and Disparity maps. We introduce Disparity Space, and develop an approach using multiple matching primitives to form Local cost functionsfor which a...

This paper deals with the fusion of random variables when cross covariances are unknown. This is a vital problem in nearly every real world application since cross covariances are often impossible to obtain but also cannot be ignored. We provide a rigorous derivation of the fusion equations which are also known as covariance intersection. This approach allows us to derive an iterative scheme fo...

In this paper, we introduce fruitful concepts of common limit range and joint common limit range for coupled mappings on modified intuitionistic fuzzy metric spaces. An illustrations are also given to justify the notion of common limit range and joint common limit range property for coupled maps. The purpose of this paper is to prove fixed point results for coupled mappings on modified intuitio...

In this paper we propose a novel method for largescale dense 3D reconstruction from stereo imagery. Assuming that stereo camera calibration and camera motion are known, our method is able to reconstruct accurately dense 3D models of urban environments in the form of point clouds. We take advantage of recent stereo matching techniques that are able to build dense and accurate disparity maps from...