Next-generation wireless networks must support ultra-reliable, low-latency communication
and intelligently manage a massive number of Internet of Things (IoT) devices in real-time …

Abstract Virtual Geographic Environments (VGEs) are proposed as a new generation of
geographic analysis tool to contribute to human understanding of the geographic world and …

Abstract We introduce Clifford Group Equivariant Neural Networks: a novel approach for
constructing $\mathrm {O}(n) $-and $\mathrm {E}(n) $-equivariant models. We identify and …

Partial differential equations (PDEs) see widespread use in sciences and engineering to
describe simulation of physical processes as scalar and vector fields interacting and …

Problems involving geometric data arise in physics, chemistry, robotics, computer vision,
and many other fields. Such data can take numerous forms, for instance points, direction …

Abstract We propose Geometric Clifford Algebra Networks (GCANs) for modeling dynamical
systems. GCANs are based on symmetry group transformations using geometric (Clifford) …

This textbook on Photogrammetric Computer Vision–Statistics, Geometry, Orientation and
Reconstruction provides a statistical treatment of the geometry of multiple view analysis …

Lane detection is typically tackled with a two-step pipeline in which a segmentation mask of
the lane markings is predicted first, and a lane line model like a parabola or spline is fitted to …

Geometry is a pervasive mathematical concept that appears in many places and in many
disguises. The representation of geometric entities, of their unions and intersections, and of …

Geometric Algebra has the power to lead easily from the geometric intuition of solving an
engineering application to its efficient implementation on current and future computing …