
Developed a Torpedo Target Detection Node for the DukeRobotics/robosub-ros2 repository, enhancing the ROS2 perception stack to support autonomous underwater target localization. The node processes camera input using C++ and Python, applying HSV color filtering and contour matching against a reference image to identify upper and lower torpedo targets. It publishes bounding box data for downstream planning and control modules, while also outputting intermediate debugging visuals such as HSV-filtered and contour-detected images to facilitate validation and tuning. This feature reduces manual intervention by providing actionable computer vision data, improving mission readiness and supporting robust object detection within the ROS2 framework.
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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