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 …
forms an integral part of the processes of map**, localization, object detection and …
Tigris: Architecture and algorithms for 3d perception in point clouds
Machine perception applications are increasingly moving toward manipulating and
processing 3D point cloud. This paper focuses on point cloud registration, a key primitive of …
processing 3D point cloud. This paper focuses on point cloud registration, a key primitive of …
Cae-lo: Lidar odometry leveraging fully unsupervised convolutional auto-encoder for interest point detection and feature description
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 …
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
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 …
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
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 …
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 …
and docking (RPOD) with respect to non-cooperative space objects using a novel …
Point clouds reduction model based on 3D feature extraction
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 …
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
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 …
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 …
to avoid collisions. This paper presents a novel method for estimating the misalignment …