When operating in dark and confined spaces, the capacity of robots to localise an absolute reference frame is utmost importance. This letter presents localisation system, using deep 3D landmarks, for known spaces. The system estimates robot's relative visual inertial odometry. Local landmarks are extracted from view. Similar are, also, prior map which then registered with local provide via exte...

Abstract The majority of roads in most countries are two-lane highways. These lanes quickly reach their capacity and must be upgraded on a regular basis. To do so, we first determine the street. primary objective this study was to effect carriageway width, radius horizontal curve, gradients Passenger Car Unit (PCU) values as well undivided Highways, more importantly, develop multiple linear reg...

Introduction: Geometric distortion, an important parameter in neurology and oncology. The current study aimed to design and construct a new three-dimensional (3D) phantom using a 3D printer in order to measure geometric distortion and its 3D reproducibility. Material and Methods: In this study, a new phantom ...

Classification of point clouds by different types of geometric primitives is an essential part in the reconstruction process of CAD geometry. We use support vector machines (SVM) to label patches in point clouds with the class labels tori, ellipsoids, spheres, cones, cylinders or planes. For the classification features based on different geometric properties like point normals, angles, and prin...