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9th International Conference on intelligent Computing and Signal Processing, ICSP 2024

作者： Che, Xiaolin Zhu, Lili Wang, Lin Li, Xiyao Research Institute of Highway Ministry of Transport Beijing China State Key Lab of Intelligent Transportation System Beijing China

ISBN: (纸本)9798350376548

Constructing an effective analysis model of urban intelligent transportation standard system was the premise and foundation of management. By integrating WSR methodology and Zachman framework, an analysis model of urban intelligent transportation system standard system with all standard types, intelligent units and life cycle was built. Then, the urban intelligent transportation system standard system was analyzed from 4 intelligent units of resource, equipment, data and platforms, 5 life cycle perspectives of construction, maintenance, operation, supervision and service, and 4 standard types of application, product, technology and basic. Finally, the standard system of urban intelligent transportation system was designed and suggestions were made on how to promote standardization. © 2024 IEEE.

关键词： big data intelligent transportation system standard system standardization work urban transportation

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Multi-level Spatiotemporal Monitoring Methods for Carbon Emissions of Road Operating Vehicles

Multi-level Spatiotemporal Monitoring Methods for Carbon Emi...

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International Conference on Artificial Intelligence and Autonomous Transportation, AIAT 2024

作者： Ji, Meichen Song, Yan Hu, Song Liu, Yuqing Wang, Jing Research Institute of Highway Ministry of Transport Beijing100088 China State Key Lab of Intelligent Transportation System Beijing100088 China

ISBN: (纸本)9789819639601

Carbon emissions monitoring of road operating vehicles is usually based on the statistical calculation methods at large spatiotemporal scales, and a set of multi-level spatiotemporal monitoring method that combines macro and micro dimensions has not been explored. Moreover, the dynamic monitoring technology means of traffic carbon emission are lacking and the monitoring accuracy is low, which cannot meet the needs of daily monitoring management and carbon emission trading of operating enterprises and traffic management departments. Therefore, taking carbon emissions of road operating vehicles as the target, the influencing factors and characteristics of carbon emissions of road operating vehicles were analyzed based on the multi-source data of road operating vehicles collected from Portable Emission Measurement system (PEMS) and bench testing. A carbon emission factor data set was constructed based on typical operating vehicle types and working conditions, then a multi-level spatiotemporal monitoring model for carbon emissions of operating vehicles was established at different spatiotemporal scales. Finally, we select typical light SUV vehicles and heavy truck cement vehicles, which can achieve precise measurement of carbon emissions and holographic monitoring of carbon emissions for single vehicle and regional vehicles as well. The research is conduced to assist in the monitoring and managing carbon emissions of road operating vehicles. © Beijing Paike Culture Commu. Co., Ltd. 2025.

关键词： Carbon Emission Emission Monitoring intelligent Transportation Operational Vehicles Spatiotemporal Monitoring Model

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Digital transformation path and benefits expectation analysis in highway industry 8

Digital transformation path and benefits expectation analysi...

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8th International Conference on Traffic Engineering and Transportation system, ICTETS 2024

作者： Li, Wanjun Gao, Jian Yin, Sheng Huang, Yeran Li, Hengyu Zhu, Jierui Guo, Yuqi Research Institute of Highway Ministry of Transport Beijing100088 China State Key Lab of Intelligent Transportation System Beijing100088 China

ISBN: (数字)9781510686298

ISBN: (纸本)9781510686281

After years of evolution, digitalization has been deeply integrated into various sectors, yielding substantial benefits. The advantages of digitalization can be broadly categorized into two types. The first type encompasses the direct gains achieved through digital technologies, such as the optimization of production processes and reduction of operational costs in the manufacturing industry. The second type involves changes in industry or corporate management models driven by digitalization, with benefits that are more about transforming the industry ecosystem and indirect gains that are both creative and uncertain. The decision to undertake digital transformation within an industry or company hinges on whether the value and benefits align with expectations, which is also a crucial measure of the success of digital transformation. This article will focus on the pathways of digital transformation in China's highway industry and the value and benefits derived from it. Through the analysis of survey questionnaires, it is discovered that there is a general consensus among different types of enterprises in the highway industry regarding the benefits of digital transformation. The study also establishes a classification system for the value and benefits of highway digitalization and using the example of highway construction survey and design, develops a reference calculation model for value and benefits to support the industry in conducting benefit assessments concurrently with the digital transformation process. © 2024 SPIE.

关键词： Traffic surveys

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Non-volatile and multistate terahertz response in semi-floating-gate graphene field-effect transistors

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Optics Express 2025年第11期33卷 22196-22207页

作者： Fu, Jingjing Xu, Mengjian Cai, Miao Yao, Yifan Lei, Shuo Cai, Wen Cai, Yating He, Fei Zhang, Shichen Zhang, Xunling Hou, Shicong Tang, Shun Wang, Qingyang Guo, Xuguang Zhu, Yiming Shanghai Key Lab of Modern Optical Systems Terahertz Technology Innovation Research Institute Engineering Research Center of Optical Instrument and System Ministry of Education University of Shanghai for Science and Technology Shanghai200093 China Shanghai Institute of Intelligent Science and Technology Tongji University Shanghai200092 China

Two-dimensional (2D) material photodetector based on semi-floating gate (SFG) structure is expected to achieve multiple functions of information sensing, storage, and processing in a single device. Here, we demonstrated a terahertz (THz) detector based on the graphene/h-BN/graphene SFG structure. The device exhibits an excellent memory behavior and a gate-controlled non-volatile and multistate photothermoelectric (PTE) THz response. A theoretical model is established to systematically investigate the memory and PTE response characteristics, and the numerical results are well consistent with the experimental results. Our research provides valuable insights into the complex optoelectronic behavior of 2D material Semi-Floating-Gate Graphene Field-Effect Transistors (SFG-FETs) and paves the way for the realization of multifunctional photodetectors based on SFG-FET structures. © 2025 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement.

关键词： Photodetectors

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A Comparative Study on Kinematic Calibration for a 3-DOF Parallel Manipulator Using the Complete-Minimal,Inverse-Kinematic and Geometric-Constraint Error Models

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Chinese Journal of Mechanical Engineering 2023年第5期36卷 206-230页

作者： Haiyu Wu Lingyu Kong Qinchuan Li Hao Wang Genliang Chen State Key Laboratory of Mechanical System and Vibration Shanghai Jiao Tong UniversityShanghai 200240China Intelligent Robot Research Center Zhejiang LabHangzhou 311100China School of Mechanical Engineering Zhejiang Sci-Tech UniversityHangzhou 310018China

Kinematic calibration is a reliable way to improve the accuracy of parallel manipulators, while the error model dramatically afects the accuracy, reliability, and stability of identifcation results. In this paper, a comparison study on kinematic calibration for a 3-DOF parallel manipulator with three error models is presented to investigate the relative merits of diferent error modeling methods. The study takes into consideration the inverse-kinematic error model, which ignores all passive joint errors, the geometric-constraint error model, which is derived by special geometric constraints of the studied RPR-equivalent parallel manipulator, and the complete-minimal error model, which meets the complete, minimal, and continuous criteria. This comparison focuses on aspects such as modeling complexity, identifcation accuracy, the impact of noise uncertainty, and parameter identifability. To facilitate a more intuitive comparison, simulations are conducted to draw conclusions in certain aspects, including accuracy, the infuence of the S joint, identifcation with noises, and sensitivity indices. The simulations indicate that the complete-minimal error model exhibits the lowest residual values, and all error models demonstrate stability considering noises. Hereafter, an experiment is conducted on a prototype using a laser tracker, providing further insights into the diferences among the three error models. The results show that the residual errors of this machine tool are signifcantly improved according to the identifed parameters, and the complete-minimal error model can approach the measurements by nearly 90% compared to the inverse-kinematic error model. The fndings pertaining to the model process, complexity, and limitations are also instructive for other parallel manipulators.

关键词： Kinematic calibration Parallel manipulator Error modeling Product of exponential(POE)

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Boosting Explore-Exploit Behavior for Navigating Vehicle by Maintaining Informative Topological Frontier

IEEE Transactions on Intelligent Vehicles

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IEEE Transactions on intelligent Vehicles 2024年 1-11页

作者： Liu, Qiming Cui, Xinru Liu, Zhe Wang, Hesheng Department of Automation Shanghai Jiao Tong University Shanghai China MoE Key Lab of Artificial Intelligence AI Institute Shanghai Jiao Tong University Shanghai China Department of Automation Key Laboratory of System Control and Information Processing of Ministry of Education Key Laboratory of Marine Intelligent Equipment and System of Ministry of Education Shanghai Engineering Research Center of Intelligent Control and Management Shanghai Jiao Tong University Shanghai China

Target search in unknown environments places high demands not only on an autonomous vehicle's ability to perceive and interpret target cues, but also on its conscious of collecting these cues by active exploration. While existing navigation methods have successfully built target-driven policies by maintaining memory of explored areas, there has been a lack of focus on facilitating target-aware exploration-the informative frontier information at unexplored yet visible areas is often overlooked. In this paper, we introduce a novel topology-based memory structure, Frontier-enhanced Topological Memory (FTM), and a Hierarchical Topology Encoding and Extraction (HTEE) module, fostering the autonomous vehicle's awareness of both environmental exploration and target approach. Specifically, FTM innovatively incorporates informative ghost nodes on traditional topological map to represent unexplored yet visible regions. We leverage an online-trained implicit scene representation to estimate the positions and generate features of these ghost nodes. The HTEE then employs implicit graph convolutions and attention mechanisms to extract cognitive information from FTM, taking into account the hierarchical memory structure, target cues, and current state. Our design bolsters cognitive navigation decisions. The experiments in the high-fidelity environments, including performance tests, visualizations, and interpretability experiments, validate the effectiveness of our approach in enhancing the vehicle's exploratory behavior. The improved exploration awareness for target cue collection, in turn, enhances the success rate and path efficiency of target search. Furthermore, we demonstrate the adaptability of our algorithm in real-world physical environments. IEEE

关键词： Data mining

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AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks 39

AirRadar: Inferring Nationwide Air Quality in China with Dee...

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39th Annual AAAI Conference on Artificial Intelligence, AAAI 2025

作者： Wang, Qiongyan Xia, Yutong Zhong, Siru Li, Weichuang Wu, Yuankai Cheng, Shifen Zhang, Junbo Zheng, Yu Liang, Yuxuan China National University of Singapore Singapore Sichuan University China JD Intelligent Cities Research China State Key Lab of Resources and Environmental Information System Chinese Academy of Sciences China

ISBN: (纸本)157735897X

Monitoring real-time air quality is essential for safeguarding public health and fostering social progress. However, the widespread deployment of air quality monitoring stations is constrained by their significant costs. To address this limitation, we introduce AirRadar, a deep neural network designed to accurately infer real-time air quality in locations lacking monitoring stations by utilizing data from existing ones. By leveraging learnable mask tokens, AirRadar reconstructs air quality features in unmonitored regions. Specifically, it operates in two stages: first capturing spatial correlations and then adjusting for distribution shifts. We validate AirRadar’s efficacy using a year-long dataset from 1,085 monitoring stations across China, demonstrating its superiority over multiple baselines, even with varying degrees of unobserved data. Copyright © 2025, Association for the Advancement of Artificial Intelligence (***). All rights reserved.

关键词： Deep neural networks

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Fixed-Time Sliding Mode Fault-Tolerant Consensus Control for Second-Order Multi-Agent system with Actuator Fault 41

Fixed-Time Sliding Mode Fault-Tolerant Consensus Control for...

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第41届中国控制会议

作者： Jing Wang Yi-ming Fang Jian-xiong Li Kun-da Li Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University Engineering Research Center of the Ministry of Education for Intelligent Control System and Intelligent Equipment

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

Aiming at the problems of immeasurable leader state and actuator fault for second-order multi-agent system(MAS),the distributed robust sliding mode fault-tolerant control method based on fixed-time state observer(FTSO) is adopted to realize the fixed time fault-tolerant consensus tracking control for the *** MAS is under the undirected communication *** actuator fault is including partial loss of effectiveness(PLOE) fault and bias ***,a fixed time state observer is designed for each follower to obtain the state information of the ***,for followers with actuator faults,the distributed fixed-time robust sliding mode fault-tolerant controller is designed to realize fault-tolerant consensus tracking ***,the Lyapunov stability theorem is used to prove that the observation error and the consensus control error converge to zero in a ***,the effectiveness of the designed FTSO and fixed-time robust sliding mode fault-tolerant control algorithm is verified by numerical simulation.

关键词： fixed-time state observer fixed-time fault-tolerant control multi-agent systems consensus tracking control

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Optimising the continuous control of brain-actuated robotic devices 9

Optimising the continuous control of brain-actuated robotic ...

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9th Italian Workshop on Artificial Intelligence and Robotics, AIRO 2022

作者： Beraldo, Gloria Forin, Paolo Tonin, Luca Intelligent Autonomous System Lab Department of Information Engineering University of Padova Padua Italy Institute of Cognitive Sciences and Technologies National Research Council Canada

Brain-machine interfaces (BMIs) are alternative communication channels that have allowed healthy and disabled people to control external devices from brain signals. In the last decades, the growing attention towards neurorobotics has led to the proliferation of several BMI-based systems for controlling different devices including telepresence robots, powered wheelchairs, robotic arms, and upper/lower-limb exoskeletons. Despite the potentialities of these systems, it has emerged the necessity to create new forms of interaction between the human and the robot in order to increase the granularity of the user's commands which are, in turn, translated into specific robot's actions. In this preliminary work, we present how artificial intelligence can be exploited to design and tune a model able to convert the user's intention into continuous robot's movements. © 2022 Copyright for this paper by its authors.

关键词： Human robot interaction

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Avionics system Architecture Design of a Manned eVTOL Aircraft

Avionics System Architecture Design of a Manned eVTOL Aircra...

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2024 China Automation Congress, CAC 2024

作者： Wang, Xiaobo Liang, Wenyi Yu, Fenfen Hu, Yiren Cheng, Libo Xie, Anhuan Research Center for Intelligent Equipment Zhejiang Lab Hangzhou China Online Marketing Service Center China Mobile Communications Co. Ltd. Hangzhou China Space-based Computing System Research Center Zhejiang Lab Hangzhou China Frontier Basic Research Center Zhejiang Lab Hangzhou China

ISBN: (纸本)9798350368604

The avionics system plays a critical role in ensuring the operation of an aircraft, facilitating communication between the aircraft and ground, detecting and displaying aircraft status, as well as coordinating data exchange and processing among various systems. This paper presents an architecture of the avionics system for a manned electric vertical takeoff and landing (eVTOL) aircraft, which mainly includes the flight control system, navigation sensor system, communication system, intelligent onboard computer system, and cloud monitoring system. Detailed descriptions are provided for the redundant flight control system, sensor redundancy design, and intelligent onboard computer system. Various flight tests, including manned flight, cargo transportation, endurance, range, speed, and fault tolerance tests, are conducted on the aircraft equipped with this avionics system. The flight tests have exceeded a thousand. Analysis of flight log data demonstrates that the designed avionics system meets the safety and functionality requirements of the manned eVTOL aircraft. © 2024 IEEE.

关键词： Aircraft communication

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