[HTML][HTML] Deep learning on 3D point clouds

SA Bello, S Yu, C Wang, JM Adam, J Li - Remote Sensing, 2020 - mdpi.com
A point cloud is a set of points defined in a 3D metric space. Point clouds have become one
of the most significant data formats for 3D representation and are gaining increased …

Cloud control system architectures, technologies and applications on intelligent and connected vehicles: a review

W Chu, Q Wuniri, X Du, Q ** (SLAM) is one of the key issues for mobile robots to
achieve true autonomy. The implementations of SLAM could rely on a variety of sensors …

Bias impact analysis and calibration of terrestrial mobile lidar system with several spinning multibeam laser scanners

R Ravi, YJ Lin, M Elbahnasawy… - … on Geoscience and …, 2018 - ieeexplore.ieee.org
This paper proposes a multiunit light detection and ranging (LiDAR) system calibration
procedure to directly estimate the mounting parameters relating multiple spinning multibeam …

A rigorous cylinder-based self-calibration approach for terrestrial laser scanners

TO Chan, DD Lichti, D Belton - ISPRS Journal of Photogrammetry and …, 2015 - Elsevier
Existing self-calibration methods for terrestrial laser scanners are predominantly point-based
and plane-based. In this paper, we present a new cylinder-based self-calibration method …

Utilization of a terrestrial laser scanner for the calibration of mobile map** systems

S Hong, I Park, J Lee, K Lim, Y Choi, HG Sohn - Sensors, 2017 - mdpi.com
This paper proposes a practical calibration solution for estimating the boresight and lever-
arm parameters of the sensors mounted on a Mobile Map** System (MMS). On our MMS …

[HTML][HTML] Accuracy assessment of low-cost lidar scanners: An analysis of the Velodyne HDL–32E and Livox Mid–40's temporal stability

C Kelly, B Wilkinson, A Abd-Elrahman, O Cordero… - Remote Sensing, 2022 - mdpi.com
Identifying and mitigating sources of measurement error is a critical task in geomatics
research and the geospatial industry as a whole. In pursuit of such error, accuracy …

Improving the intrinsic calibration of a Velodyne LiDAR sensor

R Bergelt, O Khan, W Hardt - 2017 IEEE SENSORS, 2017 - ieeexplore.ieee.org
LiDAR (Light detection and ranging) sensors are widely used in research and development.
As such, they build the base for the evaluation of newly developed ADAS (Advanced Driver …

Plane-based self-calibration and improvement of three-dimensional multi-beam laser scanning with two-axis-mirror

X Liu, X Tong, K Luan, W Xu… - Measurement Science and …, 2022 - iopscience.iop.org
The geometry and calibration of three-dimensional multi-beam laser scanning (MBLS) is
more difficult than single-beam laser scanning, especially for a one laser emitter and …

Automatic in-situ self-calibration of a panoramic TLS from a single station using 2D keypoints

T Medić, H Kuhlmann, C Holst - ISPRS Annals of the …, 2019 - isprs-annals.copernicus.org
Terrestrial laser scanner (TLS) measurements are unavoidably affected by systematic
influences due to internal misalignments. The magnitude of the resulting errors can exceed …