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Bitroute SOME/IP: Implementation of a Scalable and Service Oriented Communication Middleware 45

Bitroute SOME/IP: Implementation of a Scalable and Service O...

引用

45th Jubilee International Convention on Information, Communication and Electronic Technology, MIPRO 2022

作者： Vujanic, M. Trifunovic, N. Kastelan, I. Kovacevic, B. University of Novi Sad Faculty of Technical Sciences Department of Computing and Control Engineering Serbia RT-RK Institute for Computer Based Systems Novi Sad Serbia

ISBN: (纸本)9789532331035

SOME/IP is a communication protocol introduced in automotive industry to enable Service Oriented Architecture which is not possible using traditional automotive protocols such as CAN or FlexRay. A trend emerging in the last years in the Advanced Driver Assistance Systems (ADAS) is that SOME/IP became one of main communication protocols used for communication between safety and performance ECU devices. Currently in the market, including the open-source solutions, there is a set of different SOME/IP implementations that have different audience and combination of characteristics like high royalty costs, available feature set and software solution maturity. This paper presents the Bitroute SOME/IP, a new implementation of the SOME/IP communication protocol with focus on performance and deployment platform independency and compares it with the open-source solution from The Connected Vehicle Systems Alliance (COVESA). © 2022 Croatian Society MIPRO.

关键词： Automotive industry

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An approach towards Model-To-Model Mapping between AUTOSAR and Android systems 45

An approach towards Model-To-Model Mapping between AUTOSAR a...

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45th Jubilee International Convention on Information, Communication and Electronic Technology, MIPRO 2022

作者： Zlatkovic, Radomir Cabrilo, Vuk Antic, Marija Kovacevic, Branimir University of Novi Sad Faculty of Technical Sciences Department of Computing and Control Engineering Serbia RT-RK Institute for Computer Based Systems Novi Sad Serbia

ISBN: (纸本)9789532331035

Every new generation of modern vehicles aims to provide the customers with a higher level of comfort and entertainment services. Consequently, the burden is placed upon the manufacturers to incorporate ever more complex electronic systems in their products and introduce service-based technologies. To meet these demands, service-oriented architecture (SOA) has become an integral part of the Adaptive AUTOSAR as the industry standard. Also, mobile services and applications are natively supported in the new in-vehicle infotainment systems (IVI) which usually run on the Android operating system. As these fundamentally different technologies are incorporated in the vehicles, the developers are facing the challenge of connecting them and exchanging information between the services running in different domains. Service-oriented architectures usually rely on a model-driven engineering approach to facilitate the development of the applications. However, as the complexity of the system grows, the mapping of various metamodels becomes a challenge, as no single standard is used across all domains in the vehicle. This paper provides a possible solution for mapping the already existing AUTOSAR metamodel to an Android Interface Definition Language (AIDL) metamodel. By applying the proposed mapping, it is possible to build applications that require the cooperation of various domains within the vehicle. © 2022 Croatian Society MIPRO.

关键词： Mapping

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Bio-inspired Swarm Intelligence: A Flocking Project with Group Object Recognition 3

Bio-inspired Swarm Intelligence: A Flocking Project with Gro...

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3rd International Conference on Consumer Electronics and Computer engineering, ICCECE 2023

作者： Tianbo, Song Weijun, Hu Jiangfeng, Cai Weijia, Liu Quan, Yuan Kun, He Ira A. Fulton Schools of Engineering Arizona State University Tempe United States Saint Petersburg State University Faculty of Applied Mathematics and Control Processes Saint Petersburg Russia Lomonosov Moscow State University Department of Chemistry Moscow Russia Allen School of Engineering and Computing Trine University Angola United States The Open University of China Faculty of Engineering Hangzhou China College of Computing Illinois Institute of Technology Chicago United States

ISBN: (纸本)9798350331578

With the help of the adaptive gain control algorithm and the flocking SWARM algorithm with adversarial agents, the project described in this article makes the entire system communication-free while maintaining the same functionality and performance. It outlines the entirety of this biologically inspired swarm intelligence's thought process, from inception to conclusion (Flocking algorithm). The entire project is dependable and practically impenetrable under a variety of conditions. The neighbor observation for group conjecture is then strengthened by the use of the adaptive gain control technique and a partial Kalman filter. After the system has been stabilized, use the built-in camera of the SWARM drone to introduce the Object Recognition method in computer vision. As a result, the system enters the real world from the simulation level. © 2023 IEEE.

关键词： Object recognition

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Few-shot Object Detection Algorithm Based on YOLOv8-Mamba-Like Linear Attention 16

Few-shot Object Detection Algorithm Based on YOLOv8-Mamba-Li...

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16th International Conference on Communication Software and Networks, ICCSN 2024

作者： Wang, Hongliang Wang, Kaizhu Ji, Binglong Deng, Changyi Shenyang Institute of Computing Technology Chinese Academy of Sciences University of Chinese Academy of Sciences Liaoning Province Human- Computer Interaction System Engineering Research Center Based on DigitTwin Shenyang China Shenyang Institute of Computing Technology Chinese Academy of Sciences University of Chinese Academy of Sciences Shenyang China Institute of Software China Industrial Control Systems Cyber Emergency Response Team Beijing China

ISBN: (纸本)9798331506322

In the production and assembly process, the accuracy of detection is usually low due to limited resources and small quantities. In this paper, we propose a few-shot learning method for object detection based on the combination of YOLOv8 and Mamba-Like Linear Attention (MLLA) module. This method utilizes a high-pixel camera to capture the shape and size of the workpiece. By consistency-based mutual augmentation structure for few-shot samples data augmentation. By introducing the efficient and lightweight MLLA module, the model's speed and accuracy in object detection and segmentation tasks on mobile devices are significantly improved. Specifically, MLLA mainly integrates the two key elements of 'forget gate' and 'block design' in Mamba, and MLLA replaces forget gate by using position coding (RoPE) to provide necessary location information while maintaining parallel computation and fast inference speed. This makes MLLA improves the accuracy of detection and segmentation recognition. Experimental results show that compared to the original YOLOv8 model, the model with the MLLA module exhibits improvements in segmentation precision and recognition accuracy. This method demonstrates high accuracy and robustness in workpiece recognition, making it suitable for real-time industrial applications. © 2024 IEEE.

关键词： Object detection

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Cluster Synchronization of Kuramoto Oscillators via Pacemakers and Mean-phase Feedback control 63

Cluster Synchronization of Kuramoto Oscillators via Pacemake...

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63rd IEEE Conference on Decision and control, CDC 2024

作者： Kokubo, Ryota Matsubara, Mitsuaki Kato, Rui Ishii, Hideaki Tokyo Institute of Technology Department of Computer Science Yokohama226-8502 Japan Tokyo Institute of Technology Department of Systems and Control Engineering Yokohama226-8502 Japan Villeurbanne69622 France The University of Tokyo Department of Information Physics and Computing Tokyo113-8656 Japan

ISBN: (纸本)9798350316339

Brain networks typically exhibit characteristic synchronization patterns where several synchronized clusters coexist. On the other hand, neurological disorders are considered to be related to pathological synchronization such as excessive synchronization of large populations of neurons. Motivated by these phenomena, this paper presents two approaches to control the cluster synchronization of Kuramoto oscillators. One is based on the use of pacemakers to the clusters, and the other is based on feeding back the mean phases to the clusters. We first show conditions on the pacemaker weights and the feedback gains for the network to achieve cluster synchronization. Then, we propose a method to find optimal feedback gains through convex optimization. A numerical example demonstrates the effectiveness of the proposed methods. © 2024 IEEE.

关键词： Pacemakers

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High-Altitude Balloons No-Fly Zone Avoidance Based Reinforcement Learning

High-Altitude Balloons No-Fly Zone Avoidance Based Reinforce...

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2024 IEEE International Conference on Real-Time computing and Robotics, RCAR 2024

作者： Liu, Jinkua Li, Xiaotao Hu, Yu Zhang, Bo Georgia Institute of Technology College of Computing AtlantaGA30332 United States Shenzhen University College of Mechatronics and Control Engineering Shenzhen518060 China Shenzhen518107 China Shenzhen City Joint Laboratory of Autonomous Unmanned Systems and Intelligent Manipulation Shenzhen518060 China

ISBN: (纸本)9798350372601

High-altitude balloons are commonly used in scientific research but have challenges in operation due to underactuation and non-linear dynamics affected by atmospheric factors, resulting in traditional model-based control impractical. In response, reinforcement learning (RL) has been utilized as a promising approach for balloon control, achieving breakthroughs in station-keeping and navigation. Nonetheless, the No-Fly Zone (NFZ) avoidance of high-altitude balloons remains a largely uncharted territory. This study adopts a reinforcement learning-based methodology to address this particular problem. Quantile Regression DQN and DQN methods are utilized to guarantee the efficiency evaluated through simulating diverse NFZ configurations and missions. Results demonstrate that this approach effectively avoids NFZs, underscoring RL's potential to enhance the safety and efficiency of high-altitude balloon operations. © 2024 IEEE.

关键词： Reinforcement learning

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Distributed Malicious Maneuvering Target Tracking Algorithm with Finite-Time Fusion Analysis 42

Distributed Malicious Maneuvering Target Tracking Algorithm ...

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42nd Chinese control Conference, CCC 2023

作者： Zhang, Zheng Guo, Dong Zheng, Hongwei Wang, Hong Li, Qingdong Dong, Xiwang Ren, Zhang School of Automation Science and Electrical Engineering Science and Technology on Aircraft Control Laboratory Beihang University Beijing100191 China China Academic of Launch Vehicle Technology Beijing100076 China Beijing Academy of Blockchain and Edge Computing Beijing100871 China Beijing Institute of Control Engineering Beijing100094 China Institute of Artificial Intelligence Beihang University Beijing100191 China

ISBN: (纸本)9789887581543

This paper proposes a distributed tracking framework for high-maneuvering and malicious maneuvering target based on the sensor network. Considering some of sensors in the network can only observe partial system output, the collective observability is guaranteed. Based on the collective observability, the distributed target tracking algorithm is designed by local filter phase and consensus fusion phase. In local filter phase, the local estimate results can be obtained by each sensor node. Based on the target kinematic and sensor observation equations, the Kalman-like estimation algorithm is proposed to obtain the local estimate results. In most of the exist distributed state estimation (DSE) algorithms, the excellent target tracking performance is based on the assumption that the fusion times is infinity in consensus fusion phase. In practical application, however, the consensus fusion phase should be completed during two sampling instants. Besides, based on the finite-time stability theory, the error covariance matrix is processed as the solution of discrete-time algebraic Riccati equation (DARE). Then the stability of the proposed algorithm with finite-time consensus fusion is analyzed. Finally, a numerical example for tracking maneuvering target is given to validate the effectiveness. © 2023 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Target tracking

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Research on Multi-model Fusion Attitude Detection and Velocity-Based Power System 1

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8th International Conference on Life System Modeling and Simulation, LSMS 2024 and 8th International Conference on Intelligent computing for Sustainable Energy and Environment, ICSEE 2024

作者： Zhang, PengCheng Bai, JunZhe Ouyang, Peng Zhuang, YiFei Zhang, Kun School of Electrical Engineering and Automation Nantong University Nantong China Nantong Key Laboratory of Intelligent Control and Intelligent Computing Nantong China

ISBN: (数字)9789819603138

ISBN: (纸本)9789819603121

In the context of the close integration of artificial intelligence and sports, the precise measurement and intelligent coach-free scientific guidance remain one of the hotly debated topics. However, most current technologies are still limited to manual supervision and measurement of relevant indicators through hardware sensors. This approach is time-consuming and labor-intensive, not only prone to interfering with athletes’ actual performance but also requiring coaches’ real-time supervision to prevent irrecoverable injuries. Therefore, this paper proposes the LW-Pose model, which introduces Depth-Wise (DW) convolutions and channel attention mechanisms to optimize the backbone network. We replace the original decoupled head section with the Vision Transformer method and analyze the output vectors using Simcc technology to ultimately obtain accurate posture outputs. The proposed method achieves an AP50 of 92.6% and AP of 71.8%. Based on this technology, a velocity-based power training system has been developed with accuracy of 97%. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Channel attention Depth-Wise convolutions Simcc Velocity-based power training system Vision Transformer

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Magnetic Flux Servoing for Precise Localization Based on Gradient Tensor Contractions

Magnetic Flux Servoing for Precise Localization Based on Gra...

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IEEE International Conference on Automation Science and engineering (CASE)

作者： Dean Martinović Matko Orsag Faculty of Electrical Engineering and Computing Laboratory for Robotics and Intelligent Control Systems University of Zagreb Zagreb Croatia

This paper focuses on bridge inspections performed by intelligent unmanned aerial vehicles (UAV). For this, small data loggers are placed by the UAVs at the bridge, which have to be removed later. In our previous work we presented the magnetic localization method SRIOD, which not only detects the center of the data logger but also its orientation. In this work we proof SRIOD in a real application and let a robotic arm locate a magnetic target. The hardware involved is presented including the control strategy for the robot. The motions of the robot and the magnetic target are captured with 12 Optitrack cameras in order to validate the localization quality.

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A proposal of Android services generator for inter-connection with ADAS

A proposal of Android services generator for inter-connectio...

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Zooming Innovation in Consumer Electronics International Conference (ZINC)

作者： Ognjen Boskovic Aleksandar Kokinovic Dusan Kenjic Ivan Kastelan Department of Computing and Control Engineering Faculty of Technical Science University of Novi Sad Novi Sad Serbia

The integration of software in the automotive industry has become increasingly complex and time-sensitive, necessitating the implementation of efficient tools. One such tool is the utilization of a generator. Over the past decade, the implementation of In-Vehicle-Infotainment systems has become ubiquitous, occupying a central position within vehicles. Another system present in vehicles is the Advanced Driver Assistance System. Despite their prevalence, these systems operate in isolation. However, the utilization of Android services and a service-client architecture can facilitate communication between disparate systems through the implementation of various service-client-based protocols. This study proposes the development of a generator for Android services that enable communication between Advanced Driver Assistance System systems through the use of CommonAPI proxy. The implementation of this generator will expedite the production process of code that integrates these independent systems.

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