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.

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 ...

TikTok utilizes an addictive, opaque recommendation algorithm that bombards vulnerable teen users with an “endless stream” of harmful content related to suicide, anxiety, and depression, concerned ...

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 ...

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 ...

Active Simultaneous Localization and Mapping (A-SLAM) technology enables a robot to autonomously plan its movements to build a comprehensive and accurate map of its surroundings. However, most ...

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 ...

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) ...