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  • Evaluating VR Systems
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  • The CS1951t TA Handbook
  • Course Years
    • Spring 2025
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        • Vishaka Nirmal's Journal
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          • Interactive Feedback Usability Test Spring 2025
          • QR Collaboration - In class activity
        • Feiyue Zhang's Journal
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        • Yanmi Yu's Journal
    • Spring 2023
      • Syllabus - 2023
      • Course Timeline and Homework - 2023
      • Quest 2 Setup Guide - 2023
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    • Spring 2022
      • Syllabus - 2022
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    • Spring 2021
      • Syllabus - 2021
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    • Spring 2020
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    • Spring 2019
      • Syllabus - 2019
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    • Spring 2018
      • Syllabus - 2018
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VR Software wiki

LIDAR Plane Visualization 

What is LIDAR?

LIDAR, which stands for Light Detection and Ranging, is a remote sensing method that uses light in the form of a pulsed laser to measure ranges (variable distances) to the Earth. Lidar is a surveying method that measures distance to a target by illuminating the target with pulsed laser light and measuring the reflected pulses with a sensor. Differences in laser return times and wavelengths can then be used to make digital 3-D representations of the target.

Loading Data into Paraview Video

test2.mov
test.mov

Issues During Project:

    • Finding different data types.

      • I originally wanted to investigate fluid flow, but was unable to find a data set to show this in Paraview. I explored the option of .xyz files and vector field files, but was unable to find open source data which would provide meaningful data display.

      • I eventually opted to re-use a dataset I was previously able to successfully able to view in Paraview and then in the YURT.

      • I also attempted to view csv data files, but wasn't able to find a csv dataset which could provide meaningful visualization. Another student was able to preview csv data into Paraview, so I would like to read his journal entry to see how he was able to get his files displaying properly. There doesn't appear to be a tutorial for this, so it would be great to see this.

      • For larger dataset, Paraview seemed to take along time to process the data. This can be seen in the videos posted above.

      • The Paraview Installation on my personal machine would not render the large dataset on my screen unless I was actively interacting with screen. This appeared to be a nonissue when I was using the TA's laptop, so this could be an issue with the hardware on my personal machine.

      • Displaying the data in the YURT previously was really straightforward, but there were some issue with calibrating the datas origin point with the main display of the YURT. Fixing this issue resulted using Paraview to manually change the position point.

      • The tracking devices didn't work properly in the YURT. When attempting to move forward and backward with the headset, The scene appeared to move forward and backward instead of getting closer when walking towards objects and getting further when walking away from objects. This was an issue I wish I would have had additional time to investigate.

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Last updated: October 2024
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