The most significant risks that could jeopardize the success of the project are color detection picking up objects in the background along with inconsistent lighting, and feed selection switching too late or switching randomly for track configurations where there is a slight overlap between camera zones or sharp bends. The first risk is being managed by further research on color detection and asking for help from people experienced in computer vision. The second risk is being managed by considering variations of the track and camera placements to test interesting edge cases of the track before choosing the final track for demo day. Contingency plans are using paint to color the cars in a solid and bright color or placing a lighting fixture or using a room with consistent lighting, and feed selection that takes more information into account instead of being very general.
No changes were made to the system.
Schedule is as shown in the interim demo.
Validation tests will involve running the car on a track/camera configuration test vector for a set amount of laps and reviewing the livestream output for metrics as defined in our user and design requirements, such as latency, smoothness, and optimality of feed choice based on what is in the frame.