
Mathew Chu developed a Torpedo Target Detection Node for the DukeRobotics/robosub-ros2 repository, enhancing the ROS2 perception stack with autonomous object detection capabilities. Leveraging C++ and Python, he implemented an HSV color filtering pipeline combined with contour matching to process camera input and identify upper and lower torpedo targets. The node outputs bounding box data for downstream planning modules and generates intermediate debugging visuals, such as HSV-filtered and contour-detected images, to support validation and tuning. This feature reduced manual intervention by providing actionable vision data, demonstrating depth in computer vision, image processing, and ROS2 integration within a robotics context.

February 2025 summary for DukeRobotics/robosub-ros2: Implemented a new Torpedo Target Detection Node in the ROS2 perception stack. The node processes camera input using HSV color filtering and contour matching against a reference image to detect upper and lower torpedo targets and publishes bounding box information for downstream planning and control. It also outputs intermediate debugging visuals (HSV-filtered and contour-detected views) to aid validation and tuning. This work includes an initial HSV-based torpedo detection implementation committed to the repository. No major bugs were documented this month. Overall, the feature enhances autonomous target detection, reduces manual intervention, and improves mission readiness by providing actionable vision data for downstream modules.
February 2025 summary for DukeRobotics/robosub-ros2: Implemented a new Torpedo Target Detection Node in the ROS2 perception stack. The node processes camera input using HSV color filtering and contour matching against a reference image to detect upper and lower torpedo targets and publishes bounding box information for downstream planning and control. It also outputs intermediate debugging visuals (HSV-filtered and contour-detected views) to aid validation and tuning. This work includes an initial HSV-based torpedo detection implementation committed to the repository. No major bugs were documented this month. Overall, the feature enhances autonomous target detection, reduces manual intervention, and improves mission readiness by providing actionable vision data for downstream modules.
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