Line Vision Lab

In Lab 4, the class stayed in the computer lab to use a software called Line Vision. Line Vision allows you to pair a video with a map and plot points on the map for things that you see in the video. These points give you GPS coordinates and a time stamp to show where and when you saw a certain object worth plotting.

Methods: Everyone in the class was given the same video and a list of timestamps where we were supposed to find something in the video, plot its point, and find its coordinates. The video we used featured a plot of land off of Purdue's campus where someone was doing a controlled fire.

The first thing we were supposed to find the coordinates for was the green trees shown on the left in the photo above. By clicking on the trees while using the software, a point was plotted on the map. The coordinates for the green trees were: Lat. 40.449467 and Long. -87.049912.

On the right side of the same photo is a green gator vehicle. This was the next object we needed the coordinates for. Using the same process I found the coordinates to be: Lat. 40.449478 and Long. -87.049884.

We used this same process to find the coordinates of the objects listed below.


The small ATV in the left corner of the photo is at: Lat. 40.449486 and Long. -87.049925.


The blue truck is located at: Lat. 40.449366 and Long. -87.049837.


The last things I found coordinates for were the beginning and ending points of the two fire lines shown above. The left fire line starts at: Lat. 40.449511 and Long. -87.049966 and ends at: Lat. 40.449459 and Long. -87.049894. The right fire line starts at: Lat. 40.449515 and Long. -87.049961 and ends at: Lat. 40.449461 and Long. -87.049898.

In terms of commercial applications, Line Vision could be used in many different areas such as wildfires or natural disasters. UAS teams could make maps of the area they need to watch over and then use Line Vision to plot key places on the map. This will provide more data to a map so people can interact with it and get the knowledge they need from it. In a wildfire setting, pilots can map out the area of the wildfire and mark points that the firefighters need to focus on which will speed up the process altogether.

The main problem currently is that Line Vision is not fully developed and as the class was using it, many students ran into issues. One issue is that the points on the map did not seem that accurate to the video we were using. You could see the marker point jump around the map rather than smoothly move around as we moved the mouse. This means that the map was not synced up with the video well enough which effected the coordinates that we got from plotting points. The only other issue I ran into was just a general learning curve as I had never used a software like this before.

When Line Vision is fully developed, it could be very useful for UAS users. It turns map data collection into more than just a map. In this way it would eliminate confusion  between the UAS users and the people that they are collecting data for. By using this software, I can see more practical applications for UAS in the professional world.

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