Exiciting news from RAT!
Our recent work "Edged USLAM: Edge-Aware Event-Based SLAM with Learning-based Depth Prior" has just got accepted to ICRA 2026!
In this work, we propose a novel edge-aware front-end for event-based visual– inertial SLAM to improve robustness under low-light and fast-motion conditions.
The real-time experiments is conducted on a drone platform equipped with onboard computation, demonstrating resilience and robust control in cluttered indoor environments.
Project page: https://lnkd.in/e66brG7m
Video: https://lnkd.in/eY8fNrs5
Big shout-out to all co-authors for making this possible!