
Ian worked on the ECLAIR-Robotics/PCR_Automation repository, focusing on enhancing AprilTag detection for computer vision applications. He implemented a feature in Python using OpenCV that returns both the warped frame and the transformation matrix after tag detection, enabling seamless integration with downstream perception modules. To improve robustness, he ensured that scenarios with no detected tags are handled gracefully by returning None values, preventing errors in subsequent processing stages. This work contributed to the readiness of an end-to-end perception pipeline, demonstrating a solid understanding of computer vision workflows and careful attention to error handling and integration within a larger system context.
2024-11 monthly summary focusing on PCR_Automation: Implemented AprilTag detection enhancement to return warped frames and transformation matrices with robust handling for no-tag scenarios, enabling downstream processing and contributing to end-to-end perception pipeline.
2024-11 monthly summary focusing on PCR_Automation: Implemented AprilTag detection enhancement to return warped frames and transformation matrices with robust handling for no-tag scenarios, enabling downstream processing and contributing to end-to-end perception pipeline.

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