UNCERTAINTY VISUALIZATION AND HAPTICS IN THE SCOPE OF MINEFIELD DETECTION
Goal
To develop an immersive environment for Uncertainty Visualization for minefield detection using visual, audio and haptic techniques.
Abstract
Visualized Data often have dubious origins and quality. Different forms of uncertainty and errors are also introduced as the data are derived, transformed and interpolated, and finally rendered. In the absence of integrated presentation of data and uncertainty, the analysis of visualization is incomplete at best and often leads to inaccurate or incorrect conclusions. Whenever we have a large amount of data, it becomes quite difficult to interpret the data using visual senses alone. In such a situation, it is essential to make use of the sense of touch and hearing. This project deals with recreating a Virtual Minefield Environment using Uncertainty Visualization Principles. The Graphical User Interface has been developed using Open GL / C++ and GHOST SDK. and enhanced by incorporating Graphics, Sound and Haptics.
People
Dr. T. Kesavadas (Dept. of Mechanical Engineering)
Dr. Ann Bisantz (Dept. of Industrial Engineering)
Ameya Kamerkar (Dept. of Mechanical Engineering)
Parijat Bhide (Dept. of Mechanical Engineering)
Santosh Basapur (Dept. of Industrial Engineering)
Sponsors
NIMA, Sarnoff Corporation.
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