Abstract: Point cloud alignment plays a crucial role in numerous fields and applications, enabling the integration, analysis, and reconstruction of 3D data. SAmple Consensus Initial Alignment (SAC-IA) ...

Introduction: Three-dimensional (3D) point clouds acquired by LiDAR are fundamental for applications such as autonomous navigation, mobile robotics, infrastructure inspection, and cultural-heritage ...

Abstract: This innovative practice full paper describes how to integrate generative Artificial Intelligence (AI) with Data Structures and Algorithm Analysis (CS2) homework at Oklahoma State University ...

Abstract: This letter presents Open-Structure, a novel benchmark dataset for evaluating visual odometry and SLAM methods. Compared to existing public datasets that primarily offer raw images, ...

Amid an outpouring of obesity data Monday, Wave Life Sciences and Structure Therapeutics were among the biotechs jockeying to set their weight loss assets apart in an increasingly crowded field as ...

Abstract: Discovering clusters remains challenging when dealing with complex data structures, including those with varying densities, arbitrary shapes, weak separability, or the presence of noise. In ...

This repository contains solution code files for the "Data Structure and Algorithm - I Lab" course as provided on the CodeTantra platform by Noida Institute of Engineering and Technology. The files ...

A vast region of our solar system, called the Kuiper belt, stretches from the orbit of Neptune out to 50 or so astronomical units (AU), where an AU is the distance between Earth and the sun. This ...

When Edsger W. Dijkstra published his algorithm in 1959, computer networks were barely a thing. The algorithm in question found the shortest path between any two nodes on a graph, with a variant ...

Abstract: Point cloud processing is fundamental to applications such as autonomous driving, robotic navigation, and 3D reconstruction. Sampling is a crucial process in point cloud processing, but ...