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 ...

A novel IO-ICP makes radar-SLAM more accurate than other sensor-based SLAM applications.

A technical paper titled “Simultaneous Localization and Mapping (SLAM) for Synthetic Aperture Radar (SAR) Processing in the Field of Autonomous Driving” was published by researchers at Ulm University.

Autonomous mapping company Emesent has launched the Emesent GX1, an integrated simultaneous localization and mapping (SLAM) and real-time kinematic (RTK) scanner. The company is exhibiting the GX1 at ...

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 ...