LineVision- Ultimate
Introduction
The goal of this lab was to use the software LineVision to analyze a video and gather different GPS points from the video.

 Methods
The first task was to find the GPS coordinates of the Green trees in the burn area, the location that was identified for the 3 trees, A, B and C, tree A is in the top left , below it is tree B and below tree B is tree C, the smallest. The gps points of  latitude of 40.449934, and a longitude of -87.050567 for tree A, latitude of 40.449613 and a longitude of -87.050603 for tree B, and a lattitude of 40.449298, and a longitude of -87.049173 for Tree C. Tree A and B are relatively accurate for their GPS locations, but tree C is not as their was an issue with the software that inverted the side of the camera that the location of the point was if it was below the mid-line of the horizontal.
Figure 1, This image is a screen capture of the LineVision software, the 3 blue dots represent the tree locations in relation to the map and where they are in the video frame. 
The second task was to identify the location of a Gator vehicle one minute into the video, a point was added at the location of the gator in the video, for the gps coordinates it was estimated to be at the point latitude 40.449555, longitude -87.049601

Figure 2, This image is a screen capture of the LineVision software the point that is just to the right of the crosshare is the location of the gator vehicle  
The third task was to identify the position of an ATV at two minutes and fifty seconds into the video. The location that the ATV was estimated to be at was a latitude of 40.449571, and a longitude of -87.049011
Figure 3, This image is a screen capture of the LineVision software and the point on the right that is circled is where the atv is located and on the left the portion of the image circled is the atv 
The fourth task was to identify the position of a truck at three minutes and twenty seconds into the video. The location that was estimated that the truck was located at was, latitude 40.449160, longitude -87.049845
Figure 4, This image is a screen capture of the LineVision software, on the left you can see the blue truck in the image, and on the right the gps point that is highlighted in yellow is the one that corresponds with the location of the truck. 
The fifth and final task was to locate the burn lines, Burn line "A", the burn line on the left of the image, had a start location of latitude 40.449680, longitude -87.050029 and an end location of latitude 40.449191, longitude -87.049327. Burn line "B", the burn line on the right of the image, had a start location of latitude  40.449700, longitude -87.049813 and an end location of latitude 40.449071, longitude -87.049509. The map was changed to get a better idea of where the fire lines were located compared to the video, as their were issues with the lines crossing. The fire lines do not cross in the video, but in the software the gps points that it calculates for the starting and ending points of the fire lines cause them to cross.
Figure 5, A screen capture of the LineVision software and the placement of the fire lines using the "Line" tool. The fire lines are shown on the right by the two blue lines, which cross because of an error in the data. 

 Discussion
The LineVision software was a very unique application for analyzing drone videos, it had many different benefits and a few drawbacks.  One of the main drawbacks that created problems for me during this lab was the issue with the system not giving accurate data for the gps points like during the fire line task.  One of the features that was interesting was the ability to estimate the position between different things that cannot be seen in the same part of the video, like if one needed to find the distance between the ATV and the blue truck. A thing that created a problem was the software's inability to keep the data of the points pinned up, as the data from the points would only show when one would move the mouse over the points which made it harder to cross reference the points. One final drawback of the software is the lack of ability to correct the data in post or at least the lack of a tutorial on how to correct the data to get accurate gps points. Hopefully all of these issues will be fixed after the software is out of beta mode. 

 Conclusion
In conclusion, the LineVision software is a great application for breaking down video and gathering gps coordinates in a way that was not possible before this software. Even with the bugs in the current development through some extra work this software can see many applications in the future if it becomes more robust. LineVision should allow for much better data collection when a dynamic event is happening like a controlled burn, or other events where photos would not show the complete data.

Comments

Post a Comment

Popular posts from this blog

Setting up a vtol in mission planner

Image
Introduction Setting up a vertical take off or landing (VTOL) uav is one of the more complex aspects of mission planner, for programming a pix hawk flight controller. The vtol that will be set up in this blog is a 2.5 meter wingspan, custom quad rotor, with all four motors tilting uav. Figure 1. A screen capture of the firmware installation page of mission planner  To begin install arduplane on your pixhawk, using the install firmware page in mission planner, figure 1 shows the pop up window that should appear. Next once the firmware is installed go through each of the settings of the mandatory setup, including the accelerometer calibration, compass calibration and the radio calibration, but skip the servo output for now. The next step is going to the full parameter list under the configuring and tuning tab, and enable Qplane, which stands for quadplane, and allows for all the vtol settings to be shown. Then the frame style and setup has to be configured, these have t...
Read more

DoakBurn (Again)

Image
 Introduction The goal of this lab was to use ArcGIS Pro to view the various band stacks of orthomosaic imagery and a normalized difference vegetation index (NIVD). The data was collected by Dr.Hupy, William Weldon and Zack Miller, and the data was of a controlled burn with multispectral cameras. Methods The methods of this lab was to look at the areas that were burned and compare them to the areas around them that were not burned. This could be done with RGB, or band stacking for the imagery, which allows the ability to see things that are not able to be seen with the human eye.  Metadata from the Flight Vehicle: Bramor PPX Sensor: Altum Flight Number: 2 Takeoff Time: 12:18 Pm Landing Time: 12:35 Pm Altitude (m): 121 Sensor Angle: NADIR Results  The data collected with the band stacking shows the differences between the pre-burn and post-burn data. Figure 1,2,4,5,6,9 are in a 5,3,2 band stack, meaning the red represents near-infrared, the green represents th...
Read more

Designing a Vtol Mechanism from scratch

Image
Introduction A project that I have been working on needed a Vertical takeoff or landing (VTOL)  tilt mechanism for the the front 2 motors, so here is how I went about designing and testing it. It can be challenging to hand launch a twin motor plane as you have to worry about both prop disc areas, while managing controls, and adding a vtol system can allow for operations where a wheel based takeoff is not a possibility  The specifications of the propulsion system are a Emax 2213-935KV brushless motor, that spins a 8045 prop, with a spider 20apm opto esc, using a 4 lithium polymer cell battery. This power systems is typically used in quad copters such as a dji flamewheel 450. The servos for tilting the motor varied depending on the design of the tilting mechanism. Figure 1. A dji flamewheel 450 quadcopter, with a propulsion system similar to the VTOL's system Goals  The goals of this project was to be able to develop a vtol tilt system for a uav that ...
Read more