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检索条件"任意字段=18th International Conference on Control Automation Robotics and Vision"

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sUAS-Based Multispectral Imaging in Support of Detection of Camouflaged Targets and Battlefield Anomalies

sUAS-Based Multispectral Imaging in Support of Detection of ...

引用

international conference on control and automation (ICCA)

作者： Stergios Barmpas Oleg Yakimenko Systems Engineering Department Naval Postgraduate School Monterey CA USA

ISBN: (数字)9798350354409

ISBN: (纸本)9798350354416

In response to the extended usage of tactical- and theater-level unmanned aerial systems (U ASs) for reconnaissance and surveillance in the modern battlefield, the ground forces put more and more emphasize on hiding their assets using camouflage or exploiting terrain and vegetation so that these assets are not visible using regular day/ $n$ ight vision sensors. the aerial multispectral (MS) imaging technology is considered as a promising remedy to rectify this situation. this paper explores the performance of commercial-off-the-shelf MS imaging sensor integrated with a small UAS to collect imagery in multiple spectral bands to potentially contribute to the detection of camouflaged targets and battlefield anomalies. In doing so it introduces a new spectral index and examines its effectiveness compared to several other methods.

关键词： Normalized difference vegetation index Landmine detection Surveillance Vegetation mapping Object detection vision sensors Real-time systems

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An Evolutionary Calibration Approach for Touch Interface Filter Chains 18

An Evolutionary Calibration Approach for Touch Interface Fil...

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18th international conference on Informatics in control, automation and robotics (ICINCO)

作者： Rosenbauer, Lukas Maier, Johannes Gerber, Daniel Stein, Anthony Haehner, Joerg BSH Hausgerate GmbH Gewerbepk B35 Regensburg Germany Univ Hohenheim Artificial Intelligence Agr Engn Garbenstr 9 Stuttgart Germany Univ Augsburg Organ Comp Grp Technol Zentrum 8 Augsburg Germany

ISBN: (纸本)9789897585227

Touch interfaces are human machine interface (HMI) that can be found in a wide range of products ranging from mobile phones over cars to home appliances. Many of these HMIs measure digital signals which are used to detect touch events. these signals are processed using filters in order to decide whether there is a touch event or not. the filterchain must be functional even if the signal contains heavy noise. thus a precise calibration of the individual filters is necessary. We employ a genetic algorithm (GA) to choose the filter parameters automatically. We evaluate our approach in a series of experiments which includes simulated as well as real data. We additionally compare our GA with manually calibrated parameters and thereby show the superiority of our method in terms of the accuracy of the calibration provided. A cost-intensive manual calibration can thus be avoided.

关键词： automation Optimization Bio-inspired Computation Intelligent Computing Genetic Algorithm Calibration Signal Processing Human Machine Interface

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A Components Measuring System Based on Computer vision 6

A Components Measuring System Based on Computer Vision

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6th international conference on automation, control and Robots, ICACR 2022

作者： Zhan, Minghao Hou, Xiaonan Wang, Xinran Wang, Chunlei The 21st Research Institute of China Electronics Technology Group Corporation Robotics Engineering Center Shanghai China

ISBN: (数字)9781665498739

ISBN: (纸本)9781665498739

Components with high precision fit need to be measured after machining. Generally, Coordinate Measuring machines (CMM) are used for those high precision measurement. However, it's a huge cost of time to proceed high precision measurement with systems like CMM. And they inevitably require manual operation and false detection might occur due to human factors like fatigue. In this paper a components measuring system based on computer vision is proposed to achieve batch inspection and measurement of industrial components. Image processing (CV) part of this system is the focus of this paper while the mechanical part is ignored. Generally, a series of image processing is executed to get the measuring result step by step. Image processing algorithm flow includes image pre-processing, splicing, feature alignment, edge detection and Hough transformation. the experiment at last shows that the proposed system in this paper has nearly the same accuracy and a higher efficiency compared to a measuring process with traditional high precision system CMM. the average deviation of the proposed system is under 10 microns over the accuracy tolerance of 20 microns, and the measuring time cost reduced to 2.6 seconds per ROI. © 2022 IEEE.

关键词： Computer vision

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Glass Objects Detection Based on Transformer Encoder-Decoder 6

Glass Objects Detection Based on Transformer Encoder-Decoder

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6th international conference on automation, control and Robots, ICACR 2022

作者： Hou, Xiaonan Zhan, Minghao Wang, Chunlei Fan, Chunhui The 21st Research Institute of China Electronics Technology Group Corporation Robotics Engineering Center Shanghai China

ISBN: (数字)9781665498739

ISBN: (纸本)9781665498739

Glass objects detection is a relatively new and challenging work in the field of computer vision. this work will also have an impact on other visual tasks, such as depth estimation, instance segmentation and saliency detection. Compared with using high-precision sensors for glass object detection, the vision based detection method is more economical and robust. In this paper, we focus on the task of glass object detection in the field of image segmentation. Traditional semantic segmentation methods mostly used the model based on convolutional neural network to complete the task. On this basis, we introduce the Transformer encoder-decoder architecture to expand the size of receptive field, make full use of different levels of context information and improve the detection effect of glass objects. In this paper, the mixed model of convolutional neural network and Transformer is used to realize the detection of glass objects in the Pytorch environment, and the model is trained and evaluated on the Trans10K-v2 dataset. In the experiment, the input image resolution is 512 × 512, the final pixel accuracy is 93.94%, and the mean intersection over union is 71.32%. © 2022 IEEE.

关键词： Object detection

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Omnibot: A Scalable vision-Based Robot Swarm Platform

Omnibot: A Scalable Vision-Based Robot Swarm Platform

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international conference on control and automation (ICCA)

作者： Zhao Ma Jiachen Liang Hongyi Wang Shiliang Guo Peidong Huo Yin Zhang Shiyu Zhao Intelligent Unmanned Systems Laboratory School of Engineering at Westlake University Hangzhou China

ISBN: (数字)9798350354409

ISBN: (纸本)9798350354416

Introducing vision sensing into swarms presents three challenges for developing robot platforms. First, the vision system requires a wide field of view to perceive surrounding robots. Second, vision algorithms demand high computational power, which poses a challenge for real-time vision-in-the-loop simulation. third, as the swarm scale increases, managing the system becomes increasingly demanding. the main contribution of this paper is the development of a novel mobile robot swarm platform to overcome these challenges. 1) Each robot features a 360-degree omnidirectional vision system comprising four cameras, allowing each robot to detect and interact with the surrounding robots. 2) It has a novel ROS-based distributed swarm simulation system, which can effectively utilize the onboard computational resources of multiple robots to achieve parallel vision-in-the-loop simulation. 3) It features a novel swarm management system that allows real-time monitoring and debugging of multiple robots. these innovative designs provide a novel swarm platform that can facilitate the study of versatile vision-based swarm tasks.

关键词： Machine vision Robot vision systems Feature extraction Real-time systems Software Hardware Sensors

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A Computer vision System for Defect Contrast Enhancement on Transparent Materials with Structured Light and Neural Network

A Computer Vision System for Defect Contrast Enhancement on ...

引用

robotics, control and automation (ICRCA), international conference on

作者： An Liu Chaoqing Tang Haichao Qiu School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan China

ISBN: (数字)9798350344721

ISBN: (纸本)9798350344738

Transparent materials are widely used in industrial applications like screens and precision optical instruments. However, due to its special optical properties, current computer vision systems that use dark-field illumination schemes suffer from poor defect contrast. Many tiny defects are even invisible. To address this problem, this paper proposes a computer vision system for defect contrast enhancement on transparent materials. Firstly, based on physical modulation effects, structured light illumination is used to enhance regional defect contrast. then an unsupervised generative adversarial network is designed to fuse regional high-contrast information and remove the uneven illumination background from sub-images. Experiments are carried out on specimens with different types of defects and material thickness, the results show that the contrast of our method has improved by 34% compared with the traditional dark-field illumination. this computer vision imaging system enhances defect contrast physically and computationally, which brings much more defect information than current solutions for subsequent inspection tasks like defect localization and segmentation.

关键词： Optical filters Computer vision Refining Lighting Optical computing Optical imaging Generative adversarial networks

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Predictive control of Vehicle Dynamics Equipped with Intelligent Tire Sensors via Gaussian Process Regression of Lateral Tire Force

Predictive Control of Vehicle Dynamics Equipped with Intelli...

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international conference on control and automation (ICCA)

作者： Kunhee Ryu Jinsung Kim Minkyu Han Juhoon Back Vehicle Control Technology Development Team Division of Advanced Vehicle Platform Hyundai Motor Company Republic of Korea School of Robotics Kwangwoon University Seoul Republic of Korea

ISBN: (数字)9798350354409

ISBN: (纸本)9798350354416

this paper investigates the estimation of lateral tire forces and predictive control for vehicles equipped with intelligent tires. Motivated by the capability of intelligent tires to estimate lateral tire forces, we propose a control scheme that includes a predictor for lateral tire forces, utilizing the Gaussian Process Regression technique. In addition, a metric for online data management is proposed, which has the characteristic of retaining more data in regions where the change of the function value is relatively large. the proposed metric can be interpreted as an extension of the existing method, allowing for the control of dataset quality within its limited size. We apply the proposed control scheme to the model predictive contouring control problem. Numerical simulations demonstrate the robustness of the proposed control scheme to tire parameter uncertainty, in comparison to a baseline controller.

关键词： Measurement Uncertain systems Gaussian processes Predictive models Numerical simulation Tires Robustness

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A simple vision-based navigation and control strategy for autonomous drone racing 25

A simple vision-based navigation and control strategy for au...

引用

25th international conference on Methods and Models in automation and robotics

作者： Cyba, Artur Szolc, Hubert Kryjak, Tomasz AGH Univ Sci & Technol Krakow Poland

ISBN: (纸本)9781728173818;9781728173801

In this paper, we present a control system that allows a drone to fly autonomously through a series of gates marked with ArUco tags. A simple and low-cost DJI Tello EDU quadrotor platform was used. Based on the API provided by the manufacturer, we have created a Python application that enables the communication with the drone over WiFi, realises drone positioning based on visual feedback, and generates control. Two control strategies were proposed, compared and critically analysed. In addition, the accuracy of the positioning method used was measured. the application was evaluated on a laptop computer (about 40 fps) and a Nvidia Jetson TX2 embedded GPU platform (about 25 fps). We provide the developed code on Github.

关键词： drone racing AruCo markers Tello OpenCV autonomous drones

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Sorting Objects Using the vision System of the Robot

Sorting Objects Using the Vision System of the Robot

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international conference on Computational Cybernetics (ICCC)

作者： Martin Pollák Adrián Vodilka Marek Kočiško Petr Baron Faculty of Manufacturing Technologies Technical University of Kosice Prešov Slovakia

ISBN: (数字)9798331502461

ISBN: (纸本)9798331502478

Currently, robots and robotics as a field of science have expanded to be used in almost all industrial areas as well as in everyday life. the current direction of the automation of industrial production is oriented towards the introduction of machines and devices enabling the automatic execution and management of work previously performed by a conventional machine and worker. these automatically controlled devices relieve workers not only from monotonous physical work, but also mental activity, and at the same time improve productivity, quality of processes and products. the article describes the design of a robotic application for automatic sorting of components using a vision camera system. It points to the creation of the control program and the definition of the necessary settings in the software interface necessary for the correct operation of the used robotic arm. the result of the design is a functional robotic workplace developed for the automated sorting of post tensioning wedges as a detected object according to their hole diameter, pointing out the possibility of using machine vision in robotics.

关键词： automation Service robots Robot vision systems Cameras Manipulators Software Hardware Robots Intelligent sensors Sorting

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STRUCTURE DESIGN OF ARM EXOSKELETON ROBOT 10

STRUCTURE DESIGN OF ARM EXOSKELETON ROBOT

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10th international Symposium on Test automation and Instrumentation, ISTAI 2024

作者： Zhi, Shan Ji, Changli Chen, Yujie Song, Shoubin Huang, Zhidong Liaoning Institute of Science and Technology Benxi China Chongqing University Chongqing China

ISBN: (纸本)9781837242672

ARM exoskeleton robot is widely used in rehabilitation medicine, industrial production, military, disability, aerospace and scientific research experiments, and plays an important role. In this paper, an arm exoskeleton robot with multiple joints moving independently is designed, which is aimed at the human upper limb movement, such as forward bending, backward extending, adduction and right bending limit of joints, the design provides the user with auxiliary strength and a degree of upper-body flexibility, which can be used for reference to other arm exoskeletons of the same type. the arm exoskeleton designed in this paper includes Motor I, Worm gear and worm box, Upper arm I, Reducer, Short connector, Motor II, Upper Arm II, Forearm, Motor III, Motor IV, Pinion, Motor screw, the design of the structure and size parameters of the large gear, and the working principle of the arm exoskeleton and the implementation steps are briefly described. On this basis, the paper carries out the structural design and strength check of the key parts such as Worm, Gear, Transmission shaft and so on. Finally, through the finite element analysis, build the key components of the model, stress and deformation analysis and verification, the results show that the method can meet the design requirements. © the Institution of Engineering & Technology 2024.

关键词： Exoskeleton (robotics)

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