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.

We've seen the Kinect put to use to help you find your groceries, but the sensor's image processing capabilities have some more safety-minded applications as well. The fine minds at MIT combined the ...

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, ...

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.

The National Aeronautics and Space Administration's Langley Research Center wants to find solutions to challenging tasks in GPS-deprived environments, so it put a group of MIT students on the problem.