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 ...

Loop closure detection is a key module in visual SLAM. During the robot’s movement, the cumulative error of the robot is reduced by the loop closure detection ...

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.

Traditional visual SLAM algorithms, which build maps based on sparse reconstruction, can hardly meet the demands for autonomous navigation and obstacle avoidance in outdoor environment. Therefore, we ...

New capabilities in AI-assisted CAD generation, 3D Gaussian Splatting, and intelligent point cloud processing bring SLAM LiDAR data closer to direct project useShenzhen, June 05, 2026 (GLOBE NEWSWIRE) ...