Team’s Status Report for 4/23

After working to integrate the different systems we’ve been working on. We have a complete fully functional system. We integrated the object detection of the cars with the range detection from the LIDAR system, and created a GUI which displays red boxes on the screen relative to the user which indicates the relative direction and range of the cars approaching. Additionally, we tested the GUI with the AR glasses and the system is working end to end. Next, we will be testing the system to collect data on the accuracy of prediction and the speed at which it can warn the user.

Shown above: for the sake of testing, we configured the YOLO algorithm to detect people instead of cars. The camera is detecting a person in the frame and figuring out the range to the object, and displays the warning as a red square. The system can detect and display multiple objects at once, and will only display a warning if an object of interest is detected by the camera. For example, if a chair is in range of the LIDAR, the system will not warn the user because it is not an object of interest.

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