Abstract: Heterogeneous image registration is a critical field in computer vision, with broad applications in scene registration, image retrieval, and autonomous driving. Due to differences in sensor ...
Abstract: In this study, we tackle the challenge of optimizing Wi-Fi signal performance through strategic access point (AP) placement, employing genetic algorithms (GAs) to address the complexities of ...
This repository contains the python implementation of point cloud Re-Height Normalization (ReHN). The code is based on the paper: Fu, B., Deng, L., Sun, W., He, H ...
Abstract: Light detection and ranging (LiDAR) is a crucial roadside intelligent perception device in cooperative vehicle infrastructure systems, which can generate a large amount of disordered 3-D ...
Abstract: We propose a general attack framework based on evolutionary algorithms to quickly and efficiently generate low-perturbation adversarial samples for 3D point cloud data. Specifically, we ...
Abstract: Many advanced techniques efficiently harvest the global maximum power (GMP) of the photovoltaic (PV) system, including machine learning techniques and metaheuristic algorithms based maximum ...
Abstract: This paper proposes a hybrid auction algorithm that combines neural networks, parallel auction algorithm, and conflict resolution strategy to solve the frontier point task allocation problem ...
Abstract: Photovoltaic arrays receive varying levels of solar radiation due to factors such as shadows created by clouds, surrounding buildings, and other obstructions. Therefore, an effective Maximum ...
Abstract: Point cloud registration is a key computer vision task that must be solved in most modern pipelines for 3-D data processing. Iterative Closest Point (ICP) algorithms are one of the most ...
Abstract: In this work, we propose a voxel-based single-stage fine-grained and efficient point cloud 3D object detection algorithm to address the inadequate granularity in point cloud feature ...
Abstract: 3D reconstruction is widely used to create 3D representation of 2D images. 3D scanner is a device that takes scans or images of the object or environment and creates the 3D representation of ...
Abstract: Formation control algorithms are a prominent area of study in the domain of drones and drone swarms. The goal of the formation control algorithms is to manage and manipulate individuals to ...
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