Abstract: The acquisition of targets’ complete point cloud model is crucial for tasks such as 3D reconstruction and disordered grasping. Shooting targets from multiple perspectives and registering ...
Abstract: With the increasing demand for batch testing of fiber optic gyroscopes (FOGs) scale factor, accurate and low-complexity change point detection methods are essential for identifying state ...
Abstract: This paper proposes a new algorithm for choosing a solution in the Pareto Optimal Front of the multi-objective optimization problem of the spectral and energy efficiency trade-off in Massive ...
Shortest path algorithms sit at the heart of modern graph theory and many of the systems that move people, data, and goods around the world. After nearly seventy years of relying on the same classic ...
Abstract: This study develops a novel end-to-end formation strategy for leader-follower formation control of mobile robots that uses onboard LiDAR sensors in non-communication environments. The main ...
Abstract: Conventional perturb and observe (P&O) algorithm fails to track global maximum power point (GMPP) under complex partial shading conditions (PSC) in photovoltaic (PV) system. While many of ...
Abstract: Normal estimation is a critical task in point cloud analysis, especially in cultural heritage preservation and digitization. However, due to errors from acquisition devices and environmental ...
ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...
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