CICP: Cluster Iterative Closest Point for sparse–dense point cloud registration

ML Tazir, T Gokhool, P Checchin, L Malaterre… - Robotics and …, 2018 - Elsevier
Point cloud registration is an important and fundamental building block of mobile robotics. It
forms an integral part of the processes of map**, localization, object detection and …

Tigris: Architecture and algorithms for 3d perception in point clouds

T Xu, B Tian, Y Zhu - Proceedings of the 52nd Annual IEEE/ACM …, 2019 - dl.acm.org
Machine perception applications are increasingly moving toward manipulating and
processing 3D point cloud. This paper focuses on point cloud registration, a key primitive of …

Cluster ICP: Towards sparse to dense registration

ML Tazir, T Gokhool, P Checchin, L Malaterre… - … Autonomous Systems 15 …, 2019 - Springer
Normal segmentation of geometric range data has been a common practice integrated in the
building blocks of point cloud registration. Most well-known point to plane and plane to …

A new approach to unwanted-object detection in gnss/lidar-based navigation

M Joerger, G Duenas Arana, M Spenko, B Pervan - Sensors, 2018 - mdpi.com
In this paper, we develop new methods to assess safety risks of an integrated GNSS/LiDAR
navigation system for highly automated vehicle (HAV) applications. LiDAR navigation …

Interest point detection from multi‐beam light detection and ranging point cloud using unsupervised convolutional neural network

D Yin, Q Zhang, J Liu, X Liang, Y Wang… - IET Image …, 2021 - Wiley Online Library
Interest point detection plays an important role in many computer vision applications. This
work is motivated by the light detection and ranging odometry task in autonomous driving …

Velocimeter LIDAR-Based Relative Rate Estimation for Autonomous Rendezvous, Proximity Operations, and Docking Applications

D Adams, M Majji - Proceedings of the 44th Annual American Astronautical …, 2022 - Springer
This paper presents a navigation system for autonomous rendezvous, proximity operations,
and docking (RPOD) with respect to non-cooperative space objects using a novel …

Point clouds reduction model based on 3D feature extraction

HM Sayed, SA Taie, RA El-Khoribi… - International …, 2019 - inderscienceonline.com
Light detection and ranging (LIDAR) is a remote sensing method that scans the Earth's
surface with high density to construct the digital elevation model (DEM). In this paper, we …

Semi-automatic approach for forming and processing laser sensing data of urban truss

MS Sedek, A Serwa - SVU-International Journal of …, 2021 - svusrc.journals.ekb.eg
There is imprecision in the stage of construction because of manual quality control in the
construction procedures. Forming and processing point clouds image of as is truss part with …

Highly Accurate Obstacle Localization using Fused Inertial, RTK-GNSS, and Lidar Positioning for Agricultural Field Operations

JAI Lemke, R Soitinaho, T Oksanen - IFAC-PapersOnLine, 2023 - Elsevier
Autonomous vehicles need to recognize and localize obstacles in their environment in order
to avoid collisions. This paper presents a novel method for estimating the misalignment …