The Emesent GX1 combines SLAM and integrated RTK to deliver independently validated 5–10mm global accuracy while reducing site survey time by up to 95%.
Simultaneous localization and mapping (SLAM) is widely used in autonomous driving, augmented reality, and embodied intelligence. In real-world settings, sensor measurements often suffer from ...
The workflow of FTI-SLAM framework. The SLAM front-end comprises federated learning-enhanced deep neural networks for odometry, embedding, and loop closure detection. After optimising odometry based ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results