Quantitative comparison of sensor fusion architectural approaches in an algorithm-level test bed

1996 ◽  
Author(s):  
Jean Roy ◽  
Eloi Bosse ◽  
Nicolas Duclos-Hindie
Keyword(s):  
Sensor Fusion ◽  
Quantitative Comparison ◽  
Test Bed ◽  
Algorithm Level

Realistic simulations of surveillance sensors in an algorithm-level sensor fusion test-bed

1995 ◽  
Author(s):  
Eloi Bosse ◽  
Nicolas Duclos-Hindie ◽  
Jean Roy ◽  
Denis Dion, Jr.
Keyword(s):  
Sensor Fusion ◽  
Test Bed ◽  
Level Sensor ◽  
Algorithm Level

scholarly journals A Fault-Tolerant Multiple Sensor Fusion Approach Applied to UAV Attitude Estimation

2016 ◽  
Vol 2016 ◽  
pp. 1-12 ◽  
Author(s):  
Yu Gu ◽  
Jason N. Gross ◽  
Matthew B. Rhudy ◽  
Kyle Lassak
Keyword(s):  
Sensor Fusion ◽  
Fault Tolerant ◽  
Attitude Estimation ◽  
Single Frequency ◽  
Test Bed ◽  
Multiple Sources ◽  
Fusion Algorithm ◽  
Cost Rate ◽  
Fault Detection And Identification ◽  
Multiple Sensor

A novel sensor fusion design framework is presented with the objective of improving the overall multisensor measurement system performance and achieving graceful degradation following individual sensor failures. The Unscented Information Filter (UIF) is used to provide a useful tool for combining information from multiple sources. A two-step off-line and on-line calibration procedure refines sensor error models and improves the measurement performance. A Fault Detection and Identification (FDI) scheme crosschecks sensor measurements and simultaneously monitors sensor biases. Low-quality or faulty sensor readings are then rejected from the final sensor fusion process. The attitude estimation problem is used as a case study for the multiple sensor fusion algorithm design, with information provided by a set of low-cost rate gyroscopes, accelerometers, magnetometers, and a single-frequency GPS receiver’s position and velocity solution. Flight data collected with an Unmanned Aerial Vehicle (UAV) research test bed verifies the sensor fusion, adaptation, and fault-tolerance capabilities of the designed sensor fusion algorithm.

3D Attitude Estimation in Indoor Environments with a Complementary Filter for the Special Orthogonal Group SO(3)

2013 ◽  
Vol 198 ◽  
pp. 153-158 ◽  
Author(s):  
Marcin Kmiecik ◽  
Krzysztof Sibilski
Keyword(s):  
Sensor Fusion ◽  
Orthogonal Group ◽  
Laser Scanner ◽  
Attitude Estimation ◽  
Practical Implementation ◽  
Indoor Environments ◽  
Test Bed ◽  
Complementary Filter ◽  
Satisfactory Quality

This paper presents a practical implementation of a complementary filter for 3D attitude estimation in an indoor setting. The structure of the filter is chosen basing on design principles described in [. It demonstrates the basic foundations of a complementary filter and proposes a simple and concise implementation for sensor fusion of data collected using an IMU and a Hokuyo URG 04LX laser scanner. Experimental results are shown for a handheld test bed satisfactory quality of estimation.

Toward an alignment of the actin molecule within the actin filament

1983 ◽  
Vol 41 ◽  
pp. 450-451
Author(s):  
P.R. Smith ◽  
W.E. Fowler ◽  
U. Aebi
Keyword(s):  
Actin Filament ◽  
Diffraction Data ◽  
Quantitative Estimate ◽  
Molecular Model ◽  
Quantitative Comparison ◽  
Regulatory Proteins ◽  
Essential Information ◽  
X Ray ◽  
Maximum Resolution ◽  
Lack Of Information

An understanding of the specific interactions of actin with regulatory proteins has been limited by the lack of information about the structure of the actin filament. Molecular actin has been studied in actin-DNase I complexes by single crystal X-ray analysis, to a resolution of about 0.6nm, and in the electron microscope where two dimensional actin sheets have been reconstructed to a maximum resolution of 1.5nm. While these studies have shown something of the structure of individual actin molecules, essential information about the orientation of actin in the filament is still unavailable.The work of Egelman & DeRosier has, however, suggested a method which could be used to provide an initial quantitative estimate of the orientation of actin within the filament. This method involves the quantitative comparison of computed diffraction data from single actin filaments with diffraction data derived from synthetic filaments constructed using the molecular model of actin as a building block. Their preliminary work was conducted using a model consisting of two juxtaposed spheres of equal size.

The quantitative comparison of experimental and simulated diffraction contrast images

1995 ◽  
Vol 53 ◽  
pp. 102-103
Author(s):  
Stuart McKernan
Keyword(s):  
Image Processing ◽  
Personal Computer ◽  
Close Agreement ◽  
Quantitative Comparison ◽  
Image Simulation ◽  
Computing Power ◽  
Diffraction Contrast ◽  
Simulated Images ◽  
Made In

For many years the concept of quantitative diffraction contrast experiments might have consisted of the determination of dislocation Burgers vectors using a g.b = 0 criterion from several different 2-beam images. Since the advent of the personal computer revolution, the available computing power for performing image-processing and image-simulation calculations is enormous and ubiquitous. Several programs now exist to perform simulations of diffraction contrast images using various approximations. The most common approximations are the use of only 2-beams or a single systematic row to calculate the image contrast, or calculating the image using a column approximation. The increasing amount of literature showing comparisons of experimental and simulated images shows that it is possible to obtain very close agreement between the two images; although the choice of parameters used, and the assumptions made, in performing the calculation must be properly dealt with. The simulation of the images of defects in materials has, in many cases, therefore become a tractable problem.

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