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 ...

The convergence of Global Navigation Satellite System (GNSS) reference technology and the recent affordability of LiDAR sensors has opened new doors for high-precision mapping at an affordable cost.

Robotics and navigation systems constitute a rapidly advancing field that merges autonomous mechanical design with sophisticated algorithms for localisation, mapping and sensor integration. This ...

SLAM (simultaneous localization and mapping) is essential to navigation systems of mobile robots and there are various depth sensors used in SLAM including 2D and 3D LiDARs, stereoscopic cameras, ...

Coretronic Intelligent Robotics has developed a navigation solution based on 3D LiDAR SLAM (simultaneous localization and mapping) technology for autonomous mobile robots, according to company ...

No audio available for this content. The automotive navigation of tomorrow is highly connected and capable of dynamically using high-resolution map information and vehicle and environmental data from ...