Simultaneous Localization and Mapping (SLAM) is a cornerstone technology enabling autonomous robots to navigate and understand unknown environments without pre-existing maps. At its core, SLAM ...
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 ...
Radar-based localization and mapping rely on radio frequency signals to determine the position and geometry of a platform within an environment. These techniques leverage the robustness of radar waves ...