Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Pablo O. Arambel"'
Publikováno v:
IEEE Signal Processing Letters. 22:1210-1214
One of the key challenges in distributed linear estimation is the systematic fusion of estimates. While the fusion gains that minimize the mean squared error of the fused estimate for known correlations have been established, no analogous statement c
Autor:
Pablo O. Arambel, Lucas Finn
Publikováno v:
SPIE Proceedings.
We consider the problem of estimating the performance of a system that tracks moving objects on the ground using airborne sensors. Expected Track Life (ETL) is a measure of performance that indicates the ability of a tracker to maintain track for ext
Publikováno v:
SPIE Proceedings.
The subject of traffic flow modeling began over fifty years ago when Lighthill and Whitham used flow continuity equation from fluid dynamics to describe traffic behavior. Since then, a multitude of models, broadly classified into macroscopic, mesosco
Autor:
Pablo O. Arambel
Publikováno v:
SPIE Proceedings.
Structured pedigree is a way to compress pedigree information. When applied to distributed fusion systems, the approach avoids the well known problem of information double counting resulting from ignoring the cross-correlation among fused estimates.
Autor:
Pablo O. Arambel
Publikováno v:
Signal Processing, Sensor Fusion, and Target Recognition XVII.
One of the most critical challenges in distributed data fusion is the avoidance of information double counting (also called "data incest" or "rumor propagation"). This occurs when a node in a network incorporates information into an estimate - e.g. t
Publikováno v:
FUSION
We seek to establish a quality metric for sensor fused video based on the performance of a multisensor system that actively tracks multiple surface targets over an extended field of regard Such a system must, in real-time, fuse multisensor/spectral i
Autor:
Matthew Antone, Pablo O. Arambel
Publikováno v:
SPIE Proceedings.
Highly accurate predictions of tracking performance usually require high fidelity Monte Carlo simulations that entail significant implementation time, run time, and complexity. In this paper we consider the use of Markov Chains as a simpler alternati
Publikováno v:
FUSION
Tracking ground moving objects using aerial video sensors is very challenging when the objects go through periods of occlusion caused by trees or buildings. If the occlusion interval is relatively large, there are confusing objects in the vicinity, o
Autor:
Pablo O. Arambel, Matthew Antone
Publikováno v:
Signal Processing, Sensor Fusion, and Target Recognition XV.
Tracking multiple surface targets with a single steerable airborne video sensor is accomplished by several interrelated functions: (i) image registration for camera motion compensation and accurate image-to-ground mapping, (ii) video processing for o
Publikováno v:
Signal Processing, Sensor Fusion, and Target Recognition XIV.
The goal of the DARPA Video Verification of Identity (VIVID) program is to develop an automated video-based ground targeting system for unmanned aerial vehicles. The system comprises several modules that interact with each other to support tracking o