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 ...

• 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.

SLAM, or simultaneous localization and mapping, is a well-studied computational problem that involves updating an environment map while keeping track of an agent’s location. (Typically, said agent is ...

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.

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 ...

No audio available for this content. Accurate localization underpins modern mobility, powering everything from precise rideshare pickups and efficient deliveries to augmented reality and autonomous ...