A review of point cloud registration algorithms for mobile robotics

F Pomerleau, F Colas, R Siegwart - Foundations and Trends® …, 2015 - nowpublishers.com
The topic of this review is geometric registration in robotics. Registration algorithms
associate sets of data into a common coordinate system. They have been used extensively …

A tutorial review on point cloud registrations: principle, classification, comparison, and technology challenges

L Li, R Wang, X Zhang - Mathematical Problems in …, 2021 - Wiley Online Library
A point cloud as a collection of points is poised to bring about a revolution in acquiring and
generating three‐dimensional (3D) surface information of an object in 3D reconstruction …

A comparative analysis of LiDAR SLAM-based indoor navigation for autonomous vehicles

Q Zou, Q Sun, L Chen, B Nie… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Simultaneous localization and map** (SLAM) is a fundamental technique block in the
indoor-navigation system for most autonomous vehicles and robots. SLAM aims at building …

ikd-tree: An incremental kd tree for robotic applications

Y Cai, W Xu, F Zhang - ar**: the simultaneous localization and map** problem with six degrees of freedom
A Nüchter - 2008 - books.google.com
Focuses on acquiring spatial models of physical environments through mobile robots The
robotic map** problem is commonly referred to as SLAM (simultaneous localization and …