• Driving Innovation with SLAM Technology in Autonomous Systems Robotics AR VR and Smart Cities. • Emerging Opportunities in SLAM Technology Driven by 5G AI Digital Twins and Interactive Experiences.

Simultaneous Localization and Mapping (SLAM) uses observations to construct a graph, which often contains both environments (mapping), and robot trajectories (localization). RoCAL focuses on building ...

Amol Borkar, senior product manager for AI and computer vision at Cadence, talks with Semiconductor Engineering about mapping and tracking the movement of an object in a scene, how to identify key ...

A team of researchers specializes in SLAM, or simultaneous localization and mapping, the technique whereby mobile autonomous robots map their environments and determine their locations. Now these ...

Mobile robots require basic information to navigate through an environment: they need to know where they are (localization) and they need to know where they are going. For the latter, robots need a ...

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.

Trimble has announced today the first deployment of its map-based localization system for land-based autonomous vehicle applications. IHI Corporation, a heavy industry manufacturer based in Japan, ...

A new SDK – powered by a new Augmented Reality Experience Language (AREL) An update to Metaio Creator (their AR desktop publishing tool for non-technical users) Advanced camera technologies like ...