To the best of our knowledge, the most recent light detection and ranging (lidar)-based
surveys have been focused only on specific applications such as reconstruction and …

In the cultural heritage field, point clouds, as important raw data of geomatics, are not only
three-dimensional (3D) spatial presentations of 3D objects but they also have the potential …

We use quantum walks to construct a new quantum algorithm for element distinctness and
its generalization. For element distinctness (the problem of finding two equal items among N …

3D point cloud maps are an accumulation of laser scans obtained at different positions and
times. Since laser scans represent a snapshot of the surrounding at the time of capture, they …

This paper describes a brain–machine interface for the online control of a powered lower-
limb exoskeleton based on electroencephalogram (EEG) signals recorded over the user's …

Abstract Three-dimensional (3D) point cloud registration is a fundamental step for many 3D
modeling and mapping applications. Existing approaches are highly disparate in the data …

Remote sensing technologies, specifically terrestrial-based static LiDAR and
photogrammetry, are transforming from state-of-the-art to state-of-practice tools for …

We propose a new formulation for including orthogonal planar features as a global model
into a linear SLAM approach based on sequential Bayesian filtering. Previous planar SLAM …

This work revisits existing algorithms for the QR factorization of rectangular matrices
composed of p× q tiles, where p≥ q. Within this framework, we study the critical paths and …

High resolution RGB imagery collected using a UAV and a handheld camera was used with
structure from motion to reconstruct 3D canopies of small groups of corn plants. A …