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Southern working with Tessella has expanded the TAPAS system to provide an enhanced system which facilitates the automatic analysis of Driver performance. The enhanced framework, Churros, provides a visualisation of this data to highlight drivers who perform well and those whose performance requires active management. It is expected that the development of this system will provide a change in the...
In this paper we propose an approach to SLAM suitable for bathymetric mapping by an autonomous underwater vehicle (AUV). AUVs typically do not have access to GPS while underway and the survey areas of interest are unlikely to contain features that can easily be identified and tracked using bathymetric sonar. We demonstrate how the uncertainty in the vehicle state can be modeled using a particle filter...
We propose a method to improve the geo-referenced accuracy and self-consistency of bathymetric maps generated by autonomous underwater vehicles (AUVs), where the navigation solution is prone to drift when GPS or other methods of absolute positioning are unavailable. This is accomplished using a non-feature based approach to simultaneous localization and mapping (SLAM) that utilizes a 2D grid structure...
The mode spectra of small N=3 and N=7 clusters of dust particles with fluctuating charges are analyzed. It is demonstrated that the main effect related to the charge fluctuations is a splitting of the spectrum modes. The splitting depends the value of the charge variance. It is found that the most affected mode is the fundamental pure rotational mode. The least affected modes are pure translational...
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