Abstract
In recent years, teleoperation has experienced rapid development. Numerous teleoperation applications in diverse areas have been reported. Among all teleoperation-related components, computer vision (CV) is treated as one of the must-have technologies, because it allows users to observe remote scenarios. In addition, CV can further help the user to identify and track the desired targets from complex scenes. It has been proven that efficient CV methods can significantly improve the operation accuracy and relieve user’s physical and mental fatigue. Therefore, furthering understanding about CV techniques and reviewing the latest research outcomes is necessary for teleoperation designers. In this context, this review article was composed.
Subject
Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Control and Optimization,Mechanical Engineering,Computer Science (miscellaneous),Control and Systems Engineering
Reference105 articles.
1. ImageNet classification with deep convolutional neural networks
2. Integrated recognition, localization and detection using convolutional networks;Sermanet;arXiv,2013
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Smart Recycling Robot: Vision-Driven Autonomous Water Bottle Collection System using YOLOv5;2023 International Conference on Advances in Computation, Communication and Information Technology (ICAICCIT);2023-11-23
2. A system for detecting objects and estimating their distance using a neural network;2023 IEEE XXX International Conference on Electronics, Electrical Engineering and Computing (INTERCON);2023-11-02