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Resilient odometry via hierarchical adaptation
Автор: shibo zhao
Загружено: 2025-12-25
Просмотров: 239
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Paper link: https://www.science.org/stoken/author...
Website link: https://superodometry.com/
Description: Super Odometry is a resilient sensor-fusion framework that delivers accurate, real-time state estimation in challenging environments by integrating external and inertial sensing. For decades, SLAM has depended on external sensors like cameras and LiDAR. We argue it’s time to reverse this hierarchy: true robustness begins from within.
By placing inertial sensing at the core of state estimation, robots gain an inner sense of motion. We believe the systems that not only see, but also feel, learn, and adapt.
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![[IROS 2021] Super Odometry: IMU-centric LiDAR-Visual-Inertial Estimator for Challenging Environments](https://ricktube.ru/thumbnail/51WL3enqfzo/mqdefault.jpg)
![[CVPR 2025] WildGS-SLAM: Monocular Gaussian Splatting SLAM in Dynamic Environments](https://ricktube.ru/thumbnail/xXuolzFvddQ/mqdefault.jpg)
