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Autonomous Navigation w/ROS2, ZED Camera

• In the BU MarsRover Club, I am part of the software team, specifically the autonomous navigation division. In this group, our focus is to get the rover to make decisions on its own and drive autonomously, with color camera and depth sensor.
• So far, I’ve been working on training the CV model to recognize specific objects required by the URC and make sure that the rover is competition-ready. The next step would be integrating the AI model on the rover itself and connect decision to action.
• As part of the challenge, the rover’s goal is to look for and detect a water bottle and an orange mallet. The videos and picture below demonstrates some testing we did with object detection with Yolo V8 with considerable confidence level.
• We meet weekly for three hours to collaboratively trouble-shoot, and on our own during the week.
• We use Github to manage our code base.