In Situ 4D Visualization
Abstract
Major Goals: This project proposes a collaborative effort between the University of Virginia, GVSC (U.S. Army CCDC Ground Vehicle Systems Center), and ARL (Aberdeen Proving Ground U.S. Army Research Laboratory) to investigate in situ visualization of 4D (all three spatial dimensions plus time) datasets. A 4-year project is proposed to accomplish three specific major goals. First, we propose to research algorithms and hardware that can rapidly pre-process large amount (on the order of tens of GB per second) of high dimensional data (3D and higher). To accomplish this goal, we propose to study the use of sparse representation, dynamics meshing, and also perform laboratory scale demonstration experiments. Second, we propose to research in situ visualization engine (VE), and our efforts will concentrate again on two specific directions: asynchronous rendering and super-spatiotemporal resolution. Third, we propose to test and demonstrate the algorithms and hardware developed above in collaboration with GVSC and ARL under the context of fire suppression, an ideal testbed to generate high dimensional data and an ideal application where in situ visualization is of critical importance for the Army. Accomplishments: 1. Training of a PhD student (Chris Windle) Since the project started in August 2018, the PI has recruited a new PhD student (Chris Windle), and has trained the student on the basics of four dimensional technologies, including the algorithms to perform 4D reconstructions, and also the experimental skills to obtain 4D measurements. The student has been maintaining excellent academic progress and successfully conducted both laboratory and field measurements described below. He has successfully passed his PhD qualification exam is preparing for his proposal defense and final defense.
Document Details
- Document Type
- Technical Report
- Publication Date
- Mar 11, 2022
- Accession Number
- AD1197254
Entities
People
- Lin Ma
Organizations
- University of Virginia