Abstract: LiDAR is one of the most promising scanning technologies with a wide range of applications. It is commonly used for geodetic and cartographic tasks, allowing for the scanning and ...
Vladimir Zakharov explains how DataFrames serve as a vital tool for data-oriented programming in the Java ecosystem. By ...
Abstract: Iterative gradient-based optimization algorithms are widely used to solve difficult or large-scale optimization problems. There are many algorithms to choose from, such as gradient descent ...
Abstract: Autonomous underwater vehicles (AUV) play an important role in the process of human exploration of the ocean. However, the existing AUV control methods are faced with the problem of ...
Abstract: In recent years, with the rapid development of drone technology, fixed-wing unmanned aerial vehicles (UAVs) have shown extensive potential in various fields such as battlefield ...
Abstract: The paper proposes a variant of the Iterative Closest Point (ICP) algorithm for point cloud registration that addresses two main issues with existing ICP-based algorithms: the lack of ...
Abstract: The fixed-point iteration method is widely used in electromagnetic field analysis involving hysteresis property due to its strong robustness, but it has the problem of low computational ...
Abstract: Point-cloud registration and stitching are important topics in the field of robot navigation and 3D reconstruction, e.g., the accuracy of point cloud registration and stitching in robot ...
Abstract: One of the problems that has been explored for decades is sorting. Many Sorting algorithms have been studied since the dawn of computing. Bubble sorting is a popular and effective sorting ...
Abstract: Aiming at the dynamic background air target detection algorithm using SIFT feature point detection and brute force matching leads to the problem of low detection efficiency and poor ...
Abstract: In the field of computer science, sorting algorithms are crucial because they facilitate the effective processing and arrangement of data in a variety of scenarios, including data analysis, ...
Abstract: DeepSORT [1], a widely recognized Kalman filter-based tracking-by-detection (KFTBD) algorithm, has inspired various derivative versions, named SORT-like algorithms in this paper. Building on ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results