I Got Selected for Google Summer of Code 2025

I’m excited to share you that I’ve been selected as a Google Summer of Code 2025 (GSoC) contributor for kornia — a Low-level 3D Computer Vision library in Rust.

About the Project

During this summer I will be working on April Tag and Calibration Detectors with the goal in mind to make them faster and efficient.

Here’s the official project summary:

April Tags are widely used in robotics for precise localization, camera calibration, and augmented reality applications. Their ability to provide robust fiducial markers makes them valuable for tasks such as robot navigation, visual SLAM, and pose estimation. This project aims to implement efficient detection algorithms for both synthetic and natural features in Rust. It will include an April Tag detector—optimized for calibration and structured environments—and an ORB-based detector for natural feature extraction, which is crucial for robust visual localization and Visual SLAM applications. Both modules will be integrated into the kornia-rs ecosystem, thereby providing a comprehensive toolkit for camera calibration, localization, and robotics.

If you’d like to explore more details, check out the GSOC Project Page.

I’m incredibly thankful to my mentor @edgarriba and the Kornia team for this opportunity, and I’m looking forward to diving deep into computer vision, and robotics throughout the summer.

I’ll be sharing updates, insights, and learnings as I go — stay tuned for more!