Simultaneous Localization and Mapping (SLAM) in visual environments combines real-time camera data with algorithmic processing to build spatial maps while tracking a sensor’s position within them.

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 ...

A roundup of recent products in the GNSS and inertial positioning industry from the March-April 2026 issue of GPS ...

ABB’s fusion of AI vision and intuitive software in the Flexley Mover aims to enable safer, more scalable autonomous navigation. ABB has upgraded its Flexley Mover MP604 model with advanced 3D visual ...

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.

Sending teams of tiny drones to explore areas and structures is a staple in sci-fi and research, but the weight and size of sensors and the required processing power have long been a limiting factor.