We introduce a novel end-to-end deep-learning solution for rapidly estimating a dense spherical depth map of an indoor environment. Our input is a single equirectangular image …
Abstract Light Detection And Ranging (LiDAR) technology has provided an impactful way to capture 3D data. However, consistent mapping in sensing-degenerated and perceptually …
X Li, Y Zhou, B Hua - IEEE Transactions on Instrumentation and …, 2021 - ieeexplore.ieee.org
Light detection and ranging (LiDAR) provides a 3-D understanding of environment and plays an important role in autonomous driving. To study the influence of 3-D data quality on …
CJ Hawley, PJ Gräbe - Construction and Building Materials, 2022 - Elsevier
Detection of water leakage areas is one of the most important tasks of regular underground tunnel inspections. Current manual visual assessments are plagued by reduced efficiency …
This paper attempts to uncover one possible method for the IMR (indoor mobile robot) to perform indoor exploration associated with SLAM (simultaneous localization and mapping) …
K Vasstein, EF Brekke, R Mester… - IOP Conference Series …, 2020 - iopscience.iop.org
Testing that ships are compliant to specified safety requirements have traditionally relied on real world data, which is not scalable and limited to testable scenarios due to financial and …
J Li, Q Zhou, X Li, R Chen, K Ni - Sensors, 2019 - mdpi.com
This paper introduces a three-dimensional (3D) point cloud data obtained method based on a laser line scanner and data processing technology via a PCL open project. This paper …
A low-cost, yet accurate approach for stockpile volume estimation within confined storage spaces is presented. The novel approach relies on actuating a single-point light detecting …