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GSoC 2026

Kornia-SLAM: Robust visual-inertial SLAM

This project intends to extend the existing kornia-slam repository to create a visual + inertial measurements based simultaneous localization and mapping pipeline using utilities provided by Kornia-rs. The goal would be to create a VSLAM pipeline compatible with common modalities like monocular, stereo and RGB-D images, with a potential for future GNSS and Lidar integration. This will hopefully provide researchers with a localization and mapping algorithm that can run robustly on low compute hardware.

Project details

Contributor

Astik Srivastava

Mentors

Not available

Technologies

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