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检索条件"任意字段=International Conference on Robot Vision and Signal Processing"

共 18125 条记录，以下是531-540 订阅

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Research on Flame Detection of fire-fighting robot 3

Research on Flame Detection of fire-fighting robot

引用

3rd international conference on Computer vision and Pattern Analysis, ICCPA 2023

作者： Tohti, Gulbahar Zhang, Guohui Geni, Mamtimin School of Mechanical Engineering Xinjiang University Xinjiang Urumqi830047 China Company of Baibo Electromechanical Technology Urumqi Xinjiang830011 China

ISBN: (纸本)9781510667563

Aiming at the problems of slow image processing and detection speed of flame recognition method and sensor measurement vulnerable to light environment interference, this paper studies how to improve the speed of flame recognition and overcome light environment interference. To improve the speed of flame recognition, this paper selects convolutional neural network technology, trains a classifier dedicated to flame, improves the preprocessing and post-processing methods of feature map, and develops a new flame recognition model, which greatly improves the speed of flame recognition;To overcome the interference of light environment, this paper proposes a new method by measuring the two output signals of the flame sensor in different light environments. It provides a new method for fast flame recognition of fire-fighting robot. © 2023 SPIE.

关键词： Image enhancement

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Design of Feedback Controller for Path Tracking of Mobile robot with Differential Drive 25

Design of Feedback Controller for Path Tracking of Mobile Ro...

引用

25th international conference on Digital signal processing and its Applications, DSPA 2023

作者： Khablov, Dmitry Laboratory of Technical Tools for Automation Moscow Russia

ISBN: (纸本)9798350337235

The paper describes a control system for cargo two- and four-wheeled robots capable of moving indoors in an autonomous mode without the use of satellite navigation signals. The control system includes the creation of a binary occupancy grid with an array of probable waypoints, the calculation of the probabilistic optimal road map of the mobile robot from the start and end waypoints, and the path tracking controller. The control algorithm uses a single control parameter - the difference in torque between the right and left driving wheels of the differential drive. In this case, feedback is used with microwave sensors measuring the linear speeds of the wheels. © 2023 IEEE.

关键词： Mobile robots

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Enhancing Urban Traffic Management with Real-Time Computer vision and AI: A Smart Traffic signal System

Enhancing Urban Traffic Management with Real-Time Computer V...

引用

2024 IEEE international conference on signal processing, Information, Communication and Systems, SPICSCON 2024

作者： Salman, M.M. Akil, Md Mahbubullah Islam, Shanjida Siddiky, Md Nurul Absar Rahman, Muhammad Enayetur Ahsan, Md Shamim Khulna University Khulna9208 Bangladesh Electrical and Computer Engineering University of North Carolina at Charlotte CharlotteNC28223 United States Old Dominion University NorfolkVA23509 United States

ISBN: (纸本)9798331510213

This research presents the development and deployment of a smart traffic signal system utilizing computer vision technology to optimize traffic management. Employing a pretrained YOLO model and Python’s OpenCV library, the system achieves real-time vehicle and lane detection, facilitating dynamic adjustments to traffic signals based on actual traffic conditions. Key features include multi-lane vehicle counting, emergency vehicle prioritization, and the deployment of motorized traffic barriers, which reduce human intervention and streamline traffic flow. The system incorporates an optimization algorithm that efficiently manages lane availability based on traffic data, aiding in the reduction of road congestion. Both simulation and real-world testing have been conducted to validate the system’s effectiveness in enhancing road safety and managing congestion. Additionally, the study explores the scalability of the solution to larger urban environments and addresses various technical challenges faced during implementation. © 2024 IEEE.

关键词： Traffic signals

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2024 47th international conference on Telecommunications and signal processing, TSP 2024

2024 47th International Conference on Telecommunications and...

引用

47th international conference on Telecommunications and signal processing, TSP 2024

ISBN: (纸本)9798350365597

The proceedings contain 70 papers. The topics discussed include: delta wave detection method of Wolff-Parkinson-White Syndrome based on electrocardiogram;quaternion neural network in application of MPPT controller;applying phonological feature embeddings for cross-lingual transfer in text-to-speech;contribution to the investigation of infrastructure readiness in terms of cooperative, connected and automated mobility localization;ownership authentication and integrity verification of digital images using generative models and custom signature;robust vision transformer model against adversarial attacks in medical image classification;performance comparison of IP packet forwarding solutions;exploring speech profiles in Parkinson’s disease patients on long-term dopaminergic medication;and assessing speech intelligibility and severity level in Parkinson’s disease using Wav2Vec 2.0.

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vision based Estimation of Runway relative Aircraft Position and Orientation 3

Vision based Estimation of Runway relative Aircraft Position...

引用

3rd IEEE international conference on Intelligent Techniques in Control, Optimization and signal processing, INCOS 2024

作者： Dinesh, Sudin Sravya, Inti Joy, Josna Susan Antony, Sheethal Sowmianarayanan, L. Padmakumar, E.S. Indian Space Research Organization Vikram Sarabhai Space Centre Thiruvananthapuram India Indian Space Research Organization Isro Intertial Systems Unit Thiruvananthapuram India

ISBN: (纸本)9798350361186

Satellite based Navigation systems and Inertial Navigation systems (INS) are conventionally used for Aircraft Navigation. Instrumentation landing systems (ILS) needs equipment on runway as well as on the aircraft. When ILS or alternate navigation systems are not available, vision based system can be used as an alternative to update INS. An algorithm is developed to estimate the Runway Relative Aircraft Position and Orientation during the final phase of landing when runway or pre-stored features/regions are visible. An algorithm is developed to identify three edges on the runway (Two along longitudinal left and right boundaries and the third one horizontal to the landing stripes) and to subsequently estimate the runway relative Position and Orientation using the complete camera perspective projection model. The test results suggest that Position estimates exhibit good accuracy. © 2024 IEEE.

关键词： Inertial navigation systems

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Design, Fabrication and Simulation of a 5-dof robotic Arm using Machine vision 17

Design, Fabrication and Simulation of a 5-dof Robotic Arm us...

引用

17th international conference on Engineering of Modern Electric Systems, EMES 2023

作者： Pagonis, Konstantinos Zacharia, Paraskevi Kantaros, Antreas Ganetsos, Theodore Brachos, Konstantinos University of West Attica Dept. of Industrial Design and Production Engineering Egaleo Greece

ISBN: (纸本)9798350310634

This paper studies the design, fabrication and simulation of a robotic arm that possesses the ability to use information that receives from its environment through machine vision. The main objective of this work is to design, construct and simulate a robotic system able to recognize and identify various target objects located in the robot's workspace using a camera. The image processing is implemented using a clever convolutional neural network (CNN). After studying the kinematics of the 5-dof robotic manipulator, a robotic arm is designed through a 3D design program. The mechanical parts of the robot are constructed through a 3D printer and are assembled with the servo motors. Next, the desired signals are being sent to the servo motors through a Matlab Simulink program and the Arduino Microcontroller with the intention to rotate the robot joints. © 2023 IEEE.

关键词： robotic arms

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An Analysis of the Performance of the SPRT Chart with Estimated Parameters Under the Weibull Distribution 1

引用

12th international conference on robotics vision signal processing and Power Applications

作者： Teoh, Jing Wei Teoh, Wei L. EI-Ghandour, Laila Chong, Zhi Lin Teh, Sin Yin Heriot Watt Univ Malaysia Putrajaya Malaysia Heriot Watt Univ Edinburgh Midlothian Scotland Univ Tunku Abdul Rahman Kampar Kampar Perak Malaysia Univ Sains Malaysia George Town Malaysia

ISBN: (数字)9789819990054

ISBN: (纸本)9789819990078;9789819990054;9789819990047

Most developments of the sequential probability ratio test (SPRT) control chart assume that the underlying process comes from a Normal distribution with known mean and standard deviation. Nevertheless, the true values of the process parameters are usually inaccessible in production settings, and they must be approximated from a set of Phase-I data. In certain areas, the process data can be positively skewed, which in turn affect the performance of control charts designed under the Normal distribution. In this paper, we provide a thorough analysis on the performances of the SPRT chart with estimated process parameters under the influence of Weibull distributed data. The unconditional properties of the expected value and standard deviation of the time to signal are evaluated using Monte Carlo simulation to facilitate comparisons between the Normal and Weibull distributions. Results show that both the in-control and out-of-control performances of the SPRT chart deteriorate when Weibull data are used. However, the optimal design of the SPRT chart with estimated process parameters seems to reverse the effect for large process mean shifts.

关键词： Average time to signal Process parameter estimation Sequential probability ratio test Statistical process control Weibull distribution

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Emotional Interaction Activities for Home robots based on EEG Emotion Recognition 2

Emotional Interaction Activities for Home Robots based on EE...

引用

2024 international conference on Medical Artificial Intelligence

作者： Thou, Tie Hua Yang, Chunxu Wang, Ling Li, Dongsheng Northeast Elect Power Univ Sch Comp Sci Jilin Jilin Peoples R China

ISBN: (纸本)9798350377620;9798350377613

This study presents an emotion detection system utilizing Electroencephalogram (EEG) data, integrated into the home robot's human-robot interaction model. With advancements in affective computing technology, the demand for home robots has been on the rise, offering emotional support and companionship through emotion recognition and responses, significantly enhancing the user experience. Leveraging the DEAP dataset, this study achieved real-time recognition of users' emotional stales through preprocessing, feature extraction, and classification model training. We downsampled, removed artifacts from, and filtered the raw EEG signals, extracting features from the frequency, time, spatial domains, and brain networks. LASSO regression was employed for feature selection, followed by the application of various machine learning algorithms for emotion classification. The experimental results showed that the KNN classifier performed best in emotion recognition, achieving an average accuracy of 90.3%. Further human-robot interaction tests validated the system's practical applicability, with participants rating highly the precision of emotion detection, the timeliness of interactive responses, and the overall experience. The proposed EEG-based emotion recognition system shows significant potential in enhancing the human-robot interaction experience for home robots, while also suggesting directions for further improvements in real-time performance and personalized models.

关键词： Emotion Recognition Home robots Data Mining Human-robot Interaction EEG signal processing

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Enhanced RF Characteristics of Slotted Frequency-Reconfigurable Microstrip Patch Antenna using RF MEMS Switches at 3.5 GHz 4

Enhanced RF Characteristics of Slotted Frequency-Reconfigura...

引用

4th international conference on Artificial Intelligence and signal processing

作者： Narayanan, Murali R. Ramkumar, G. Anitha, G. Saveetha Univ Saveetha Inst Med & Tech Sci SIMATS Saveetha Sch Engn Dept Automat & Robot Engn Chennai Tamil Nadu India Saveetha Univ Saveetha Sch Engn Saveetha Inst Med & Tech Sci SIMATS Dept ECE Chennai Tamil Nadu India

ISBN: (纸本)9798350350661;9798350350654

In this study,a frequency-reconfigurable microstrip patch antenna that has a central slot and RF MEMS shunt switches is optimized and improved. The substrate material for the investigation was chosen to be FR4 epoxy, with dimensions of 40 mm by 65 mm and 1.6 mm for height. The measurements of the microstrip patch were found to be 19.5 mm by 31 mm, and the feed dimension was 16.4 mm by 1.3 mm. After preliminary research, a center slot was added and slots were added on both sides of the patch to accommodate RF MEMS switches. In order to maximize the antenna's performance, parametric analysis was carried out, which involved making iterative changes to the patch dimensions and slot characteristics. Notably, the improved antenna configuration produced a gain of 5.1 dBi and a VSWR of 1, making it appropriate for 3.5 GHz applications such as wireless local area networks (WLANs), mobile phones, and radar systems. The outcomes show how well the suggested design strategy works to improve antenna performance for real-world implementation in modern communication systems.

关键词： Frequency-reconfigurable microstrip patch antenna RF MEMS shunt switches slot FR4 epoxy substrate Antenna performance Communication systems

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Towards Autonomous Visual Navigation in Arable Fields

Towards Autonomous Visual Navigation in Arable Fields

引用

IEEE/RSJ international conference on Intelligent robots and Systems (IROS)

作者： Ahmadi, Alireza Halstead, Michael McCool, Chris Univ Bonn D-53115 Bonn Germany

ISBN: (数字)9781665479271

ISBN: (纸本)9781665479271

Autonomous navigation of a robot in agricultural fields is essential for every task from crop monitoring to weed management and fertilizer application. Many current approaches rely on accurate GPS, however, such technology is expensive and can be impacted by lack of coverage. As such, autonomous navigation through sensors that can interpret their environment (such as cameras) is important to achieve the goal of autonomy in agriculture. In this paper, we introduce a purely vision-based navigation scheme that is able to reliably guide the robot through row-crop fields using computer vision and signal processing techniques without manual intervention. Independent of any global localization or mapping, this approach is able to accurately follow the crop-rows and switch between the rows, only using onboard cameras. The proposed navigation scheme can be deployed in a wide range of fields with different canopy shapes in various growth stages, creating a crop agnostic navigation approach. This was completed under various illumination conditions using simulated and real fields where we achieve an average navigation accuracy of 3.82cm with minimal human intervention (hyper-parameter tuning) on BonnBot-I.

关键词： robotics and Automation in Agriculture and Forestry Agricultural Automation vision-Based Navigation

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