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检索条件"机构=Electronics and Computer Engineering & Robotics Engineering"

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Robust lane marking detection algorithm using drivable area segmentation and extended SLT

Robust lane marking detection algorithm using drivable area ...

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2019 IEEE International Conference on robotics and Biomimetics, ROBIO 2019

作者： Ozgunalp, Umar Liu, Ming Fan, Rui Cheng, Shanshan Sun, Yuxiang Zuo, Weixun Zhu, Yilong Xue, Bohuan Zheng, Linwei Liang, Qing Cyprus International University Electrical and Electronics Engineering North Cyprus Turkey Hong Kong University of Science and Technology Department of Electronic and Computer Engineering Hong Kong Hangzhou ATG Intelligent Technology Co. Ltd. Hangzhou China Guolu Gaoke Engineering Technology Institute Co. Ltd. Beijing China Robotics Institute Hong Kong University of Science and Technology Robotics and Multiperception Laboratory Hong Kong

ISBN: (纸本)9781728163215

In this paper, a robust lane detection algorithm is proposed, where the vertical road profile of the road is estimated using dynamic programming from the v-disparity map and, based on the estimated profile, the road area is segmented. Since the lane markings are on the road area and any feature point above the ground will be a noise source for the lane detection, a mask is created for the road area to remove some of the noise for lane detection. The estimated mask is multiplied by the lane feature map in a bird's eye view (BEV). The lane feature points are extracted by using an extended version of symmetrical local threshold (SLT), which not only considers dark light dark transition (DLD) of the lane markings, like (SLT), but also considers parallelism on the lane marking borders. The segmentation then uses only the feature points that are on the road area. A maximum of two linear lane markings are detected using an efficient 1D Hough transform. Then, the detected linear lane markings are used to create a region of interest (ROI) for parabolic lane detection. Finally, based on the estimated region of interest, parabolic lane models are fitted using robust fitting. Due to the robust lane feature extraction and road area segmentation, the proposed algorithm robustly detects lane markings and achieves lane marking detection with an accuracy of 91% when tested on a sequence from the KITTI dataset. © 2019 IEEE.

关键词： Hough transforms

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Ball tracking and goal detection for middle size soccer robot using omnidirectional camera

Ball tracking and goal detection for middle size soccer robo...

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International electronics Symposium (IES)

作者： Anton Kurniawan Mulya Fernando Ardilla Dadet Pramadihanto Department of Computer Engineering EEPIS Robotics Research Center (ER2C) Electronics Engineering Polytechnic Institute of Surabaya

ISBN: (纸本)9781509016419

The RoboCup Middle Size League competition is a standard real-world test bed for autonomous multi-robot control, robot vision and other relative research subjects. In the past decade, omnidirectional vision system has become one of the most important sensors for the RoboCup soccer robots, for it can provide a 360° view of the robot's surrounding environment in a single image. The robot can use it for tracking and self-localization which very important for robot's control, strategy, and coordination. This paper will discuss the vision system to detect ball, goals, and calculate the angle and real distance from those objects. Based on the research that has been done, the system can detect the ball and the goal, and calculate the angle and the actual distance with a maximum error distance is 5%.

关键词： Image color analysis Cameras Mirrors Robot kinematics Robot vision systems

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Intelligent vehicle collision avoidance system using 5G-enabled drone swarms 2

Intelligent vehicle collision avoidance system using 5G-enab...

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2nd ACM MobiCom Workshop on Drone Assisted Wireless Communications for 5G and Beyond, DroneCom 2020

作者： Jacob, Sunil Menon, Varun G. Parvathi, R. Shynu, P.G. Shemim, Fathima K. S. Mahapatra, Bandana Mukherjee, Mithun Centre for Robotics SCMS School of Engineering and Technology India Department of Computer Science and Engineering SCMS School of Engineering and Technology India Department of Electronics and Communication Engineering SCMS School of Engineering and Technology India School of Information Technology and Engineering VIT University Vellore India Department of Computing and IT University of Bolton Ras Al Khaimah United Arab Emirates Department of Data Science Symbiosis Skills and Open University India Guangdong University of Petrochemical Technology Maoming China

ISBN: (纸本)9781450381055

The number of vehicular collisions is on a toll worldwide. Despite enforcing stringent laws and incorporating various safety features, the causalities are still on the rise. Existing techniques such as vision zero strategy and safe system approach provides only postcrash aid. Although numerous works have been carried out on Intelligent Transportation Systems (ITS), a well-coordinated vehicular collision avoidance system is still missing. In this paper, we utilize the tremendous opportunity provided by ITS, Light Detection and Ranging (LIDAR), Wireless Sensor Networks (WSN), 5G, and propose an effective system using drones with swarm intelligence that can automatically control the vehicles to prevent the collision. The proposed method, Bidirectional Multi- Tier IoT drone with Swarm optimization (BMTD-IoT-S) uses intelligent coordination of the drone swarms with the vehicular networks and always ensures a safe distance between the vehicles using the principle of magnetic levitation. The system is further investigated for optimizing the power, altitude, and angular frequency allocation for static and dynamic BMTD-IoT-S'. The results from simulation confirm the excellent performance of the system in ensuring collision avoidance. © 2020 Association for Computing Machinery.

关键词： Collision avoidance

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IoT Intervention in the monitoring of aquaponics metrics and control of input schedule

IoT Intervention in the monitoring of aquaponics metrics and...

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2024 International Conference on Smart Devices, ICSD 2024

作者： Malik, Pooja Malik, Praveen Kumar Ranjith Kumar, Gotte Bali, Jyoti S. Mahajan, Anshul Muhsen Hassan, M. Lovely Professional University School of Electronics and Electrical Engineering Punjab Phagwara India SR University School of Computer Science & Artificial Intelligence Warangal India Dept of Robotics and Automation Pune India The Islamic University Najaf Iraq

ISBN: (纸本)9798350394412

The extensive use of technology across several Modern civilization is clearly impacted by technology, with cutting-edge techniques and tools playing critical roles in sectors including healthcare, business, agriculture, and education. Processes have been transformed by these improvements, which have increased their dependability and efficiency. With the incorporation of technology, agriculture has made enormous strides, with techniques like aquaponics developing as extremely effective and sustainable systems. Aquaponics is a novel farming method that combines hydroponics (soilless plant cultivation) and aquaculture (fish farming) to grow vegetables and fish at the same time. But the performance of this incorporated system relies upon on careful observation of a number of vital elements, such as water high-quality, pH tiers, temperature, and dissolved oxygen levels. To keep the health and growth of both fish and flora in an aquaponics device, it's miles critical to hold perfect situations. This highlights the significance of technological intervention, especially via the integration of Internet of Things (IoT) era, and calls for precision in regulating the input time table for fish feed and plant vitamins. © 2024 IEEE.

关键词： Fish

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Autonomous Power Supply Development for Hydrometeorological Monitoring Station 7

Autonomous Power Supply Development for Hydrometeorological ...

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7th IEEE International Energy Conference, ENERGYCON 2022

作者： Prystupa, Anatoliy Kazymyr, Volodymyr Zabasta, Anatolijs Revko, Anatoliy Stepenko, Serhii Novyk, Kateryna Chernihiv Polytechnic National University Electrical Engineering Information and Measurement Technologies Department Chernihiv Ukraine Chernihiv Polytechnic National University Information and Computer System Department Chernihiv Ukraine Institute of Industrial Electronics and Electrical Engineering Riga Technical University Riga Latvia Chernihiv Polytechnic National University Electronics Automation Robotics and Mechatronics Department Chernihiv Ukraine

ISBN: (纸本)9781665479820

This paper presents the results of the investigation of the power supply system of the autonomous monitoring system. In particular, calculations of the system's daily balance of energy consumption were performed. Also, the question of the influence of the angle of inclination of solar converters on energy generation is considered and the necessity of collecting solar radiation during the whole daylight, not focusing on the maximum amount of energy, is substantiated. This research aimed to develop an algorithm for calculating the power supply system for autonomous monitoring systems. The proposed algorithm takes into account the coordination of diagrams of generation and consumption of energy within the autonomous monitoring station and statistical analysis of information from the NASA website. Experiments have shown the effectiveness of this method. It can be used in future design of power supply systems for autonomous monitoring stations. © 2022 IEEE.

关键词： Electric power systems

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Neuromorphic ROV propulsion control based upon model-reference non-linear optimisation

Neuromorphic ROV propulsion control based upon model-referen...

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IEE Colloquium on Optimisation in Control: Methods and Applications (Ref. No. 1998/521)

作者： K. Suttiwaree J. Lucas Liverpool Univ. UK Computer Electronics & Robotics Department of Electrical Engineering and Electronics University of Liverpool Liverpool UK

Thruster propulsion is a significant component for making accurate motion control possible as well as achieving superior navigational performance of remotely operated vehicles (ROV), both for tethered and untethered classes. As a result, the contents of this paper mainly focus upon thruster functioning enhancement by forming an effective real-time closed-loop compensation. An electric-driven thruster, instrumented with drive and embedded electronics, is employed as a test-bed. Its electrical and mechanical properties are briefly described and the inherent existence of stiction (static friction) will be highlighted since such nonlinearity directly degrades the dynamic behaviour of the thruster. Therefore, a nonlinear optimisation technique, serving as a 1-step-ahead predictive controller, has been structured not only to eliminate this unwanted stiction effect, but also to have the following additional attributes: 1) to maintain commanded rotational direction, 2) to regulate angular velocity with respect to set-point, and 3) to produce a robust system with better noise immunity. The intelligent predictive algorithm is based upon a multilayer perceptron (MLP) neural network configured as a state-estimator, whereas a model-reference gives the desired response characteristic. The outcome of such combined modules will clearly outperform the classical methodologies as indicated by the comparison with: i) an ordinary predictive strategy, and ii) an industrial three-term PID regulation.

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Reconstructing Endovascular Catheter Interaction Forces in 3D using Multicore Optical Shape Sensors

Reconstructing Endovascular Catheter Interaction Forces in 3...

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2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

作者： Christoff M. Heunis Vincenza Belfiore Marilena Vendittelli Sarthak Misra Surgical Robotics Laboratory University of Twente The Netherlands Department of Information Engineering Electronics and Telecommunications and with the Robotics Laboratory at the Department of Computer Control and Management Engineering Sapienza University of Rome Italy

Catheterization instruments are increasingly being improved to accurately diagnose and treat cardiovascular conditions. However, current catheter systems provide limited information about the shape of the catheter and tissue-instrument interaction forces during an intervention. Furthermore, relying on inconsistent feedback of such interaction forces during an intervention may result in tissue injury. This paper presents the first steps to estimate the interaction forces between a catheter and a mock-up arterial environment. We base the proposed method on a Pseudo-Rigid Body approximation of the catheter and integrate three-dimensional shape information provided by Fiber Bragg Grating sensors inside the catheter. The reconstructed forces along the catheter body can be fed back to the surgeon in visual and/or haptic form. In this work, the estimated forces are displayed in real-time in a graphical user interface with the reconstructed catheter shape. Experimental validation demonstrates a root mean square error of 0.03 N and a mean reconstruction error of 0.02 N.

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Reinforcement distribution for fuzzy classifiers: a methodology to extend crisp algorithms

Reinforcement distribution for fuzzy classifiers: a methodol...

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IEEE International Conference on Evolutionary Computation

作者： A. Bonarini PM-AI & Robotics Project Department of Electronics and Computer Engineering Politecnico di Milano Milan Italy

Fuzzy classifier systems (FCS) implement a mapping from real numbers to real numbers, through fuzzy interpretation of input and output. Reinforcement learning (RL) algorithms can be successfully applied to develop learning FCS analogously to what can be done with learning classifier systems (LCS). The author motivates this approach and presents a methodology to extend straightforwardly reinforcement distribution algorithms originally designed for crisp input and output to fully exploit the features of FCS.

关键词： Fuzzy sets Fuzzy systems Learning Robots Distributed computing Electronic mail Algorithm design and analysis Control systems Ground penetrating radar Geophysical measurement techniques

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A Control System Development for Submersible Sea Cage System

A Control System Development for Submersible Sea Cage System

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2007 OCEANS, vol.3

作者： Levente Molnar Daniel Toal Mobile & Marine Robotics Research Centre Electronics and Computer Engineering Department University of Limerick Limerick Ireland

ISBN: (纸本)9780933957374

This paper proposes a flexible control system design for use in offshore aquaculture systems. The system proposed will provide a single integrated control solution to the variety of control tasks required on commercial submersible fish cages i.e. control of feeding, control of buoyancy and in addition, provide functionalities such as external hazard detection and prevention. The control system is being developed with the view to augmenting the functionality of existing sea cage systems and automating functionality such as cage submersible capabilities.

关键词： Control systems Underwater vehicles Marine animals Sea surface Ocean temperature Storms Automatic control Hazards Navigation Gravity

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An intelligent system for Aerial image Retrieval and Classification

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3rd Hellenic Conference on Artificial Intelligence, SETN 2004

作者： Gasteratos, Antonios Zafeiridis, Panagiotis Andreadis, Ioannis Laboratory of Robotics and Automation Section of Production Systems Department of Production and Management Engineering Democritus University of Thrace Building of University’s Library Kimmeria XanthiGR-671 00 Greece Laboratory of Electronics Section of Electronics and Information Systems Technology Department of Electrical and Computer Engineering Democritus University of Thrace Vassilisis Sophias 12 XanthiGR-671 00 Greece

ISBN: (纸本)3540219374

Content based image retrieval is an active research area of pattern recognition. A new method of extracting global texture energy descriptors is proposed and it is combined with features describing the color aspect of texture, suitable for image retrieval. The same features are also used for image classification, by its semantic content. An exemplar fuzzy system for aerial image retrieval and classification is proposed. The fuzzy system calculates the degree that a class, such as sea, clouds, desert, forests and plantations, participates in the input image. Target applications include remote sensing, computer vision, forestry, fishery, agricultures, oceanography and weather forecasting. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Fuzzy systems

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