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Classification of Aerial Images and applications: A Deep Learning Perspective 16

Classification of Aerial Images and Applications: A Deep Lea...

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16th ieee international conference on Computational Intelligence and Communication Networks, CICN 2024

作者： Monika, Pralayakaveri Reddy, Chinta Midhilesh Venkata Sai Ramesh, S. College of Engineering and Technology Srm Institute of Science and Technology Department of Computing Technologies School of Computing India

ISBN: (纸本)9798331505264

Aerial image detection is a crucial technology for a variety of applications, including but not limited to urban planning, environmental monitoring, and disaster management. In this project, we implement deep learning algorithms, in particular the AlexNet model to classify aerial images taken from different landscapes. The dataset includes cityscape, road, and nature images, which are resized and normalized to make sure these image inputs conform to the input size for the AlexNet model. Fine-tuning means changing the top layer of AlexNet to have the corresponding number of classes as that of the dataset. Using pre-trained weights helps speed up the time it will take to learn the model set up in pytorch. We use momentum Stochastic Gradient Descent (SGD) to optimize the model, and a learning rate scheduler to boost the performance. The data is then divided into training and testing sets, and the accuracy of the model is assessed using the test set. The classification results indicate that fine-tuned alexnet model work well in different aerial image classification. We present the full potential of deep learning for fast aerial image classifications, which will serve as an accurate tool for aerial image classification with applications in disaster response, urban development and environmental monitoring. This model can be further improved for different datasets and for real time image processing problems. © 2024 ieee.

关键词： Environmental monitoring

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Data-Driven Safety Controller Synthesis for Unknown systems with Wireless Communication Networks 10

Data-Driven Safety Controller Synthesis for Unknown Systems ...

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10th international conference on Control, Decision and Information Technologies (CoDIT)

作者： Akbarzadeh, Omid Nejati, Ameneh Lavaei, Abolfazl Newcastle Univ Sch Elect & Elect Engn Newcastle England

ISBN: (纸本)9798350373981;9798350373974

This paper offers a formal data-driven scheme for constructing control barrier certificates (CBC) and synthesizing safety controllers for discrete-time control systems. Our framework accommodates scenarios where the mathematical model is unknown, while also considering the presence of wireless communication networks between sensor-controller and controller-actuator links. While existing literature extensively addresses the design of CBC, there has been a notable lack of attention in incorporating wireless communication networks to tackle potential packet losses. This gap poses a greater challenge when considering the absence of knowledge about the system's model, a crucial aspect in real-world applications. Given a particular rank condition for unknown wirelessly-connected systems, our method provides a linear matrix inequality, constructed based on two input-output trajectories of the system, offering a probabilistic safety assurance across an infinite time horizon. We showcase the efficacy of our data-driven approach over a wirelessly-connected synchronous motor with an unknown model.

关键词： Discrete time control systems

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Development of an Reliable SHM System for Damage Monitoring of Railway Axles using FPGAs 8

Development of an Reliable SHM System for Damage Monitoring ...

引用

8th international conference on System Reliability and Safety, ICSRS 2024

作者： Wiese, Veit Schmid, Leon Tjard Al Amin, Rashed Obermaisser, Roman University of Siegen Embedded Systems Siegen Germany

ISBN: (纸本)9798350354508

Structural health monitoring (SHM) is an effective tool for ensuring integrity and safety, capable of detecting damage with high precision. The computing architecture of Field-Programmable Gate Arrays (FPGAs) allows for programmable and reconfigurable hardware, offering flexibility and adaptability. Combining the real-time, low-latency computational capabilities of FPGAs with SHM systems represents a promising approach in safety-critical embedded systems. This paper proposes an ultrasonic-based SHM system for monitoring damage in railway axles using FPGAs. The proposed SHM system includes a hardware trigger mechanism that uses an incremental encoder to initiate measurements at specific angular positions of the axle. Additionally, a data transfer system will be designed and implemented to reliably transfer measurement and meta data to the system's memory in real-time. The individual hardware components of the proposed system have been simulated using Xilinx Vivado, and the complete hardware system has been evaluated using Zynq 7020 System-on-Chip (SoC) FPGA board. While the system is specifically designed for monitoring railway axles, it can also be applied to other types of axles. © 2024 ieee.

关键词： System-on-chip

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Efficient FPGA Architecture for Transient State Estimation in Smart Grid applications 13

Efficient FPGA Architecture for Transient State Estimation i...

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13th international conference on Modern Circuits and systems Technologies (MOCAST)

作者： Zibidi, Angeliki Mylonas, Eleftherios Tzanis, Nikolaos Birbas, Michael Birbas, Alexios Univ Patras Dept Elect & Comp Engn Patras 26500 Greece

ISBN: (纸本)9798350385434;9798350385427

In the realm of power systems engineering, heightened attention has been directed towards the concept of Transient State Estimation (TSE) due to its potential for enhancing system analysis within smart grids. This paper presents an efficient approach to address challenges in power grid monitoring by introducing adaptive architectures for real-time power system estimation, focusing on the pivotal role of TSE in enhancing grid resilience and efficiency. Leveraging the Vitis High-level Synthesis (HLS) tool and the Xilinx Zynq UltraScale+ MPSoC ZCU104 platform, the study proposes four distinct FPGA architectures. These architectures are systematically optimized for latency and resource utilization, emphasizing the delicate balance between these factors. The achieved goal through the paper is to demonstrate the feasibility of supporting real-time TSE for a representative network via an FPGA implementation.

关键词： smart grid transient state estimation numerical integrator substitution singular value decomposition field programmable gate array high level synthesis

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Intelligent Model For A Mini Hydropower Plant And Its Adaptive Control

Intelligent Model For A Mini Hydropower Plant And Its Adapti...

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2024 international conference on Artificial Intelligence, Computer, Data Sciences, and applications, ACDSA 2024

作者： Motorga, Roxana-Maria Abrudean, Mihail Muresan, Vlad Sita, Valentin Bondici, Cristian Popescu, Adrian Technical University of Cluj-Napoca Automation Department Cluj-Napoca Romania Technical University of Cluj-Napoca Department of Manufacturing Engineering Cluj-Napoca Romania

ISBN: (纸本)9798350394528

This paper proposes a comparison between three control strategies for the power control of the mini hydropower plan. To develop and implement this controllers, the mathematical modelling of the electrical energy production is performed, by applying identification methods on based on the experiments performed during the operation of the power plant. To improve the operation process, the variation of the real power in time depending on the water flow on the turbine blades is learnt using means of artificial intelligence. The learning procedure is performed by training neural networks. The approached control structures consists of a cascade structure, with a PD controller in the internal loop and a fractional-order PID controller in its external loop. The achieved performances obtained by the process are improved furthermore by computing an adaptive system based on the strategy of converting the process between the continuous to discrete time and then back to the continuous time considering the variation in time of the sampling time. This conversion is implemented using trained neural networks, too. © 2024 ieee.

关键词： Three term control systems

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Pothole Detection and Alert System sing YOLO Models: A real-time Driver Assistance Approach 2

Pothole Detection and Alert System sing YOLO Models: A Real-...

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2nd international conference on Intelligent Cyber Physical systems and Internet of Things (ICoICI)

作者： Raj, P. L. Pratheesh Santhiya, M. Kirubakaran, S. Stewart Leelipushpam, Getzi Jeba Ebenezer, V Edwin, E. Bijolin Karunya Inst Technol & Sci Div CSE Coimbatore Tamil Nadu India Karunya Inst Technol & Sci Div DS&CS Coimbatore Tamil Nadu India

ISBN: (纸本)9798331540661;9798331540678

This study presents a novel method that uses advanced deep learning models, such as YOLOv8n-seg, YOLOv8x- seg, YOLOv9, and YOLOv10, for pothole recognition and distance calculation. The proposed technology locates potholes on the road (left, center, or right), measures their distances from the car, and classifies them. The proposed system then enhances road safety by alerting drivers in real-time using text-to-speech (TTS) technology. The proposed strategy improves the detection robustness and accuracy by integrating numerous models, unlike earlier approaches. The research findings show notable gains in detecting accuracy and speed, qualifying it for real-time applications. The findings of this study can greatly lower potholerelated traffic accidents and aid in the development of advanced driver assistance systems (ADAS).

关键词： Pothole Detection You Only Look Once Distance Estimation real-time Alert Advanced Driver Assistance systems

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Hybrid Stereo Dense Depth Estimation for Robotic Tasks in Industrial Automation

Hybrid Stereo Dense Depth Estimation for Robotic Tasks in In...

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2024 international conference on Intelligent Robots and systems

作者： Singh, Suhani Suppa, Michael Suarez, Raul Rosell, Jan Roboception GmbH D-81241 Munich Germany Univ Politecn Catalunya UPC Inst Org & Control Sistemes Ind IOC Barcelona 08028 Spain

ISBN: (纸本)9798350377712;9798350377705

We introduce a simple yet effective approach for dense depth reconstruction that operates directly on raw disparity data, eliminating the need for additional disparity refinement stages. By leveraging disparity maps generated from conventional stereo methods, we train a U-Net-based model to directly map disparity to depth, bypassing complex feature engineering. Our method capitalizes on the robustness of traditional stereo matching techniques to varying scenes, focusing exclusively on dense depth reconstruction. This approach not only simplifies the training process but also significantly reduces the requirement for large-scale training datasets. Extensive evaluations demonstrate that our method surpasses classical stereo matching frameworks and state-of-the-art classical post-refinement techniques, achieving superior accuracy. Additionally, our approach offers competitive inference times, comparable to classical as well as end-to-end deep learning methods, making it highly suitable for real-time robotic applications.

关键词： Robot applications

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UAV Tracking with Lidar as a Camera Sensor in GNSS-Denied Environments 13

UAV Tracking with Lidar as a Camera Sensor in GNSS-Denied En...

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13th international conference on Localization, Navigation and GNSS (ICL-GNSS)

作者： Sier, Ha Yu, Xianjia Catalano, Iacopo Queralta, Jorge Pena Zou, Zhuo Westerlund, Tomi Fudan Univ Sch Informat Sci & Technol Shanghai Peoples R China Univ Turku Turku Intelligent Embedded & Robot Syst TIERS Lab Turku Finland

ISBN: (纸本)9798350323085

Light detection and ranging (LiDAR) sensor has become one of the primary sensors in robotics and autonomous system for high-accuracy situational awareness. In recent years, multi-modal LiDAR systems emerged, and among them, LiDAR-as-a-camera sensors provide not only 3D point clouds but also fixed-resolution 360 degrees panoramic images by encoding either depth, reflectivity, or near-infrared light in the image pixels. This potentially brings computer vision capabilities on top of the potential of LiDAR itself. In this paper, we are specifically interested in utilizing LiDARs and LiDAR-generated images for tracking Unmanned Aerial Vehicles (UAVs) in real-time which can benefit applications including docking, remote identification, or counter-UAV systems, among others. This is, to the best of our knowledge, the first work that explores the possibility of fusing the images and point cloud generated by a single LiDAR sensor to track a UAV without a priori known initialized position. We trained a custom YOLOv5 model for detecting UAVs based on the panoramic images collected in an indoor experiment arena with a motion capture (MOCAP) system. By integrating with the point cloud, we are able to continuously provide the position of the UAV. Our experiment demonstrated the effectiveness of the proposed UAV tracking approach compared with methods based only on point clouds or images. Additionally, we evaluated the real-time performance of our approach on the Nvidia Jetson Nano, a popular mobile computing platform.

关键词： UAV LiDAR-as-a-camera drone tracking LiDAR LiDAR detection LiDAR tracking YOLOV5

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A real-time Framework of Multi-Camera Vehicle Tracking System

A Real-time Framework of Multi-Camera Vehicle Tracking Syste...

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2024 ieee international conference on real-time computing and Robotics, RCAR 2024

作者： Zhuang, Hanyang Chen, Xingyuan Lan, Jianglin Wang, Ying Lu, Zhaoxuan Wang, Chunxiang Yang, Ming University of Michigan Shanghai Jiao Tong University Joint Institute Shanghai Jiao Tong University Shanghai200240 China University of Glasgow James Watt School of Engineering GlasgowG12 8QQ United Kingdom Shanghai Jiao Tong University School of Mechanical Engineering Shanghai200040 China Shanghai Intelligent and Connected Vehicle R and D Center Co. LTD Shanghai201400 China Shanghai Jiao Tong University Department of Automation Shanghai200240 China Ministry of Education of China Key Laboratory of System Control and Information Processing Shanghai200240 China Shanghai Engineering Research Center of Intelligent Control and Management Shanghai200240 China

ISBN: (纸本)9798350372601

Multi-camera vehicle tracking (MCVT) system is a key technology to build an intelligent city and intelligent transportation system. The MCVT system utilizes roadside monitoring devices and computing platforms to achieve city-level road traffic perception at a finer scale by tracking each vehicle on the road to obtain the trajectory. The existing MCVT system mainly focuses on dealing with the algorithm modules separately, without studying the real-time performance and system architecture of the entire pipeline. However, in real-world applications, many of the tricks in improving evaluation metrics are not applicable since there is endless traffic flow running all the time. Therefore, this paper proposes a real-time framework of the MCVT system to streamline all the algorithm modules with proper data flow. Firstly, a multi-threaded multi-vehicle tracking (MVT) module is developed to detect vehicles in each camera. Re-identification is implemented during MVT to provide the feature for tracking in the same camera and across different cameras. Then, after the vehicle leaves the camera field of view, the feature of vehicle trajectory is calculated by averaging the feature at each frame. Meanwhile, a background thread runs continuously to match the incoming feature of vehicle trajectory with past features by conducting a topology searching method. In the end, the vehicle trajectories with well-matched features are considered to be the same vehicle. The entire pipeline has been validated on two different datasets, the precision is 0.64 in the CityFlow dataset which uses 6 cameras simultaneously. In the customized dataset, the same method can still reach real-time when using 16 cameras at the same time with smaller network modules. © 2024 ieee.

关键词： Vehicle locating systems

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A Workflow for Automated Testing of a Safety-Critical embedded Subsystem 18

A Workflow for Automated Testing of a Safety-Critical Embedd...

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18th ieee international conference on Software Testing, Verification and Validation Workshops, ICSTW 2025

作者： Ignarra, Michele Guarino, Maria Aiello, Andrea Tonziello, Vincenzo De Donato, Giovanni Pascale, Emanuele De Guglielmo, Renato Costa, Antonio Affuso, Cosimo Hitachi Rail Naples Italy Alten Naples Italy Hitachi Rail Genoa Italy

ISBN: (纸本)9798331534677

As embedded systems in safety-critical domains, such as transportation, become increasingly complex, ensuring their reliability thorough testing becomes essential. Manual testing methods are often time-consuming, error-prone, and inadequate to cover all possible failure scenarios, especially in systems that require a high level of functional safety and robustness. To address these challenges, the need for automation in the testing process is evident, particularly for real-time, embedded, and hardware-dependent systems where validation is crucial for ensuring safe operation. This paper proposes a structured workflow for automating the testing of a safety-critical embedded subsystem, utilizing a real hardware-in-the-loop (HIL) environment. The approach covers all major phases of the testing process, including test specification, execution, and results assessment. The inspiring idea is to try to shift the focus of intellectual effort toward the early stages of the validation process, facilitating a clear and shared understanding between testers and developers regarding the system's behavioral and functional requirements. The first phase involves creating a detailed test specification, which includes: developing a behavioral model of the feature to be validated;defining data probes for monitoring the subsystem under test;creating simulation scenarios to provide stimuli to the subsystem's external interfaces. In the second phase, executable test scripts are generated either automatically or semi-automatically using multi-technology scripting languages, followed by the creation of a sequence of test cases. The final phase involves executing the tests on the actual hardware platform, collecting execution logs, and running automated checks to evaluate the results. The workflow and tools are evaluated using a case study of the onboard subsystem hardware and software platform developed by Hitachi Rail. © 2025 ieee.

关键词： Software testing

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