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International Conference on Intelligent Transportation

作者： Hendrik Königshof Christoph Stiller Intelligent Systems and Production Engineering FZI Research Center for Information Technology Karlsruhe Germany Institute of Measurement and Control Systems Karlsruhe Institute of Technology (KIT) Karlsruhe Germany

ISBN: (数字)9781728141497

ISBN: (纸本)9781728141503

3D object detection serves as a crucial basis of visual perception, motion prediction, and planning for automated driving. To apply an algorithm for this purpose, the detection of all types of road users in real-time is an essential condition. In this paper, we propose an approach that projects the 3D points of image-based bounding box proposals into so-called grid map patches. These patches are used to estimate the exact dimensions of the 3D box with the help of a lightweight CNN. The complete proposed processing chain is parallelized and implemented on a GPU. This makes our approach the fastest stereo-based 3D object detector on the KITTI benchmark while still achieving results that are within the range of the best image-based algorithms.

关键词： Three-dimensional displays Encoding Two dimensional displays Shape Object detection Estimation Training data

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An Algorithm for Detecting Ice Cloud at Different Altitudes by Combining Dual CrIS Full Spectrum Resolution CO2 Channels

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Journal of Tropical Meteorology 2020年第3期26卷 300-310页

作者： WANG Li-wen ZHENG You-fei TIAN Miao XU Jing-xin Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration Nanjing University of Information Science&TechnologyNanjing 210044 China Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology Nanjing University of Information Science&TechnologyNanjing 210044China Information Engineering Department School of Information and Communication EngineeringUniversity of Electronic Science and Technology of ChinaChengdu 611731 China State Environmental Protection Key Laboratory of Atmospheric Physical Modeling and Pollution Control State Power Environmental Protection Research InstituteNanjing 210031 China

Using infrared sensors to detect ice clouds in different atmospheric layers is still a *** different scattering and absorption properties of longwave and shortwave infrared channels can be utilized to fulfill this *** this study,the release of Suomi-NPP Cross-track Infrared Sounder(Cr IS)full spectrum resolution is used to select and pair channels from longwave(~15μm)and shortwave(~4.3μm)CO2 absorption bands under stricter conditions,so as to better detect ice ***,the differences of the weighting function peaks and cloud insensitive level altitudes of the paired channels are both within 50 h Pa so that the variances due to atmospheric conditions can be *** training data of clear sky are determined by Visible Infrared Imaging Radiometer Suite(VIIRS)cloud mask product and used to find the linear relationship between the paired longwave and shortwave CO2 absorption *** the linear relationship,the so-called cloud emission and scattering index(CESI)is derived to detect ice *** clearly captures the center and the ice cloud features of the Super Typhoon Hato located above 415 h ***,the CESI distributions agree with cloud top pressure from the VIIRS in both daytime and nighttime in different atmospheric layers.

关键词： Cross-track Infrared Sounder Full Spectral Resolution(CrIS FSR) ice cloud detection dual CO2 absorption bands

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Nanonewton-level Thrust measurement Based on Stiffness Adjustment Through Total Variation Denoising Under Heavy Loads

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IEEE Transactions on Instrumentation and measurement 2025年 74卷

作者： Wang, Jiabin Long, Jianfei Xu, Jiawen Wu, Mingshan Cong, Linxiao Xu, Luxiang Zheng, Yelong Wang, Bin Guo, Ning UCAS School of Fundamental Physics and Mathematical Sciences Hangzhou Institute for Advanced Study Hangzhou 310024 China Chinese Academy of Sciences National Space Science Centre Beijing 100190 China University of Chinese Academy of Sciences Beijing 100049 China University of Chinese Academy of Sciences Key Laboratory of Gravitational Wave Precision Measurement of Zhejiang Province Taiji Laboratory for Gravitational Wave Universe Hangzhou Institute for Advanced Study Hangzhou 310024 China University of Chinese Academy of Sciences School of Fundamental Physics and Mathematical Sciences the Key Laboratory of Gravitational Wave Precision Measurement of Zhejiang Province Taiji Laboratory for Gravitational Wave Universe Hangzhou Institute for Advanced Study Hangzhou 310024 China Southeast University Jiangsu Key Laboratory of Remote Measurement and Control School of Instrument Science and Engineering Nanjing 210096 China University of Chinese Academy of Sciences School of Physical Sciences China University of Chinese Academy of Sciences Key Laboratory of Vacuum Physics Beijing 100049 China Tianjin University State Key Laboratory of Precision Measuring Technology and Instruments Tianjin 300072 China Chinese Academy of Sciences Innovation Academy for Microsatellites China Shanghai Engineering Center for Microsatellites Shanghai 201203 China Lanzhou Institute of Physics Science and Technology on Vacuum Technology and Physics Laboratory Lanzhou 730010 China University of Chinese Academy of Sciences School of Fundamental Physics and Mathematical Sciences Key Laboratory of Gravitational Wave Precision Measurement of Zhejiang Province Taiji Laboratory for Gravitational Wave Universe Hangzhou Institute for Advanced Study Hangzhou 310024 China

Sub-micro-Newton thrusters on space satellites are widely used in spaceborne gravitational wave detection, making accurate measurement of micro-thrust-generated thrust essential. Moreover, micro-propulsion systems often exhibit substantial mass, posing challenges for thrust measurement. This research prompted the development of a sub-micro-thrust measurement device based on the inverted pendulum principle, which with-stands 8 kg loads and boasts a large thrust-to-weight ratio exceeding 10⁹. Experimental results demonstrate that adjusting the stiffness of the inverted pendulum can effectively enhance the resolution of the device. Piecewise constant signal (PCS) thrust force was introduced, and the nonlinear total variation denoising (TVD) algorithm method was adopted for signal denoising. It is validated that thrust measurement in the range of 0–261 μN is achieved with a minimum resolution of 24 nN. The device design and stiffness adjustment method proposed in this paper, as well as the data denoising method utilized, greatly enhance the thrust resolution measurement. This approach enables the development of an accurate micro-thrust model for spaceborne gravitational wave detection missions while simultaneously offering a novel solution for sub-micro-newton-level thrust measurement under heavy load conditions. © 1963-2012 IEEE.

关键词： Enhance the resolution inverted pendulum large thrust-to-weight ratio thrust measurement total variation denoising (TVD)

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Robust Interference Cancellation Beamforming Based on Signal Covariance Matrix Reconstruction

Robust Interference Cancellation Beamforming Based on Signal...

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IEEE International Conference on Signal and Image Processing (ICSIP)

作者： Yang Yang Yi Yang Ling Zhang Sultana Rejina Jie Zhuang State Grid Xin Jiang Company Limited Electric Power Research Institute University of Electronic Science and Technology of China (UESTC) Chengdu China School of Information and Communication Engineering University of Electronic Science and Technology of China (UESTC) Chengdu China Precision Measurement Radar System Technology Key Laboratory of Sichuan Province Chengdu China

ISBN: (纸本)9781665446006

As an important branch of array signal processing, robust adaptive beamforming (RAB) has been widely used in many fields. In the conventional robust adaptive beamformers, a common problem is that the estimated manifold vector of the signal of interest (SOI) may converge to the interference subspace. By using the data dependent constraints, such problem can be mitigated. In this paper, first we reconstruct the covariance matrices for the desired signal. Then a novel RAB is proposed in which the data dependent constraints are formed on the basis of the reconstructed signal covariance matrices. Moreover, the optimal solution to the proposed RAB can be found by the Lagrange multiplier methodology and the semi-definite generalized eigen- decomposition. Simulation results demonstrate the effectiveness of our proposed RAB.

关键词： Manifolds Degradation Interference cancellation Array signal processing Simulation Conferences Parallel processing

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The role of input imaging combination and ADC threshold on segmentation of acute ischemic stroke lesion using U-Net

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European Radiology 2023年第9期33卷 6157-6167页

作者： Li, Ya-Hui Lin, Shao-Chieh Chung, Hsiao-Wen Chang, Chia-Ching Peng, Hsu-Hsia Huang, Teng-Yi Shen, Wu-Chung Tsai, Chon-Haw Lo, Yu-Chien Lee, Tung-Yang Juan, Cheng-Hsuan Juan, Cheng-En Chang, Hing-Chiu Liu, Yi-Jui Juan, Chun-Jung Graduate Institute of Biomedical Electronics and Bioinformatics National Taiwan University Taipei Taiwan Department of Medical Imaging China Medical University Hsinchu Hospital No. 199 Sec. 1 Xinglong Rd. Zhubei City Hsinchu County 302 Hsinchu Taiwan Ph.D. Program in Electrical and Communication Engineering Feng Chia University Taichung Taiwan Department of Electrical Engineering National Taiwan University Taipei Taiwan Department of Management Science National Yang Ming Chiao Tung University Hsinchu Taiwan Department of Biomedical Engineering and Environmental Sciences National Tsing Hua University Hsinchu Taiwan Department of Electrical Engineering National Taiwan University of Science and Technology Taipei Taiwan Department of Radiology School of Medicine College of Medicine China Medical University Taichung Taiwan Department of Medical Imaging Medical University Hospital Taichung Taiwan Department of Neurology China Medical University Hospital Taichung Taiwan Cheng Ching Hospital Taichung Taiwan Master’s Program of Biomedical Informatics and Biomedical Engineering Feng Chia University Taichung Taiwan Department of Automatic Control Engineering Feng Chia University No. 100 Wenhwa Rd. Seatwen Taichung 40724 Taiwan Department of Biomedical Engineering The Chinese University of Hong Kong ERB1112 11/F William M.W. Mong Engineering Building N.T Shatin Hong Kong Multi-Scale Medical Robotics Center The Chinese University of Hong Kong N.T Shatin Hong Kong Department of Biomedical Engineering National Defense Medical Center Taipei Taiwan Department of Computer Science and Information Engineering National Taiwan University Taipei Taiwan

Background: To evaluate the effect of the weighting of input imaging combo and ADC threshold on the performance of the U-Net and to find an optimized input imaging combo and ADC threshold in segmenting acute ischemic stroke (AIS) lesion. Methods: This study retrospectively enrolled a total of 212 patients having AIS. Four combos, including ADC-ADC-ADC (AAA), DWI-ADC-ADC (DAA), DWI-DWI-ADC (DDA), and DWI-DWI-DWI (DDD), were used as input images, respectively. Three ADC thresholds including 0.6, 0.8 and 1.8 × 10^–3 mm²/s were applied. Dice similarity coefficient (DSC) was used to evaluate the segmentation performance of U-Nets. Nonparametric Kruskal–Wallis test with Tukey–Kramer post-hoc tests were used for comparison. A p <.05 was considered statistically significant. Results: The DSC significantly varied among different combos of images and different ADC thresholds. Hybrid U-Nets outperformed uniform U-Nets at ADC thresholds of 0.6 × 10^–3 mm²/s and 0.8 × 10^–3 mm²/s (p <.001). The U-Net with imaging combo of DDD had segmentation performance similar to hybrid U-Nets at an ADC threshold of 1.8 × 10^–3 mm²/s (p =.062 to 1). The U-Net using the imaging combo of DAA at the ADC threshold of 0.6 × 10^–3 mm²/s achieved the highest DSC in the segmentation of AIS lesion. Conclusions: The segmentation performance of U-Net for AIS varies among the input imaging combos and ADC thresholds. The U-Net is optimized by choosing the imaging combo of DAA at an ADC threshold of 0.6 × 10^–3 mm²/s in segmentating AIS lesion with highest DSC. Key Points: • Segmentation performance of U-Net for AIS differs among input imaging combos. • Segmentation performance of U-Net for AIS differs among ADC thresholds. • U-Net is optimized using DAA with ADC = 0.6 × 10^–3mm²/s. © 2023, The Author(s), under exclusive licence to European Society of Radiology.

关键词： Deep Learning Diffusion Magnetic Resonance Imaging Ischemic Stroke Neural Networks, Computer Retrospective Study

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Modulation Signal Recognition Based on Feature Fusion and Residual CNN in Fractal Noise Background

Modulation Signal Recognition Based on Feature Fusion and Re...

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IEEE International Conference on Signal and Image Processing (ICSIP)

作者： Di Chen Gang Xiong Baigang Huang Lijun Wang Science and Technology on Communication Information Security Control Laboratory No.36 Research Institute of Cetc Jiaxing China School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University China Institute of Navigation and Sensing Shanghai Jiao Tong University China

ISBN: (纸本)9781665446006

In this paper, a modulated signal recognition method based on feature fusion and ResCNN (FF-ResCNN) under generalized fractal noise background is proposed. Firstly, in the feature extraction and fusion part, considering the robustness, anti-noise and interpretability of the features, the fusion feature vectors of generalized fractal spectrum, instantaneous feature and high-order cumulant feature are constructed. Secondly, in order to suppress the possible gradient and degradation problems, the ResCNN model is used to train and classify the fusion features when the CNN model is used to further collect the deep-level abstract features. Finally, feature extraction, feature fusion and classification experiments are carried out for nine modulated signals under two noise types (GWN and fractal noise). Experimental results show that in the case of generalized fractal noise, when SNR=0dB, the recognition accuracy of signal modulation type reaches 95.42%, which verifies the superiority of the proposed method. At the same time, the simulation analysis is carried out for different feature fusion schemes, which provides a valuable reference for feature combination optimization under different noise environment.

关键词： Degradation Deep learning Conferences Neural networks Modulation Feature extraction Fractals

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Pathfinding and Routing for Automated Driving in the Lanelet2 Map Framework

Pathfinding and Routing for Automated Driving in the Lanelet...

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International Conference on Intelligent Transportation

作者： Fabian Poggenhans Johannes Janosovits Intelligent Systems and Production Engineering FZI Research Center for Information Technology Karlsruhe Germany Institute of Measurement and Control Systems (MRT) Karlsruhe Institute of Technology (KIT) Karlsruhe Germany

ISBN: (数字)9781728141497

ISBN: (纸本)9781728141503

In this paper we introduce the concept of routing and pathfinding, which is used by the Lanelet2 map framework for automated driving. While in conventional map frameworks the routing graph is explicitly predefined, Lanelet2 interprets it at runtime. This offers many advantages for automated driving, because it allows the map information to be viewed from different perspectives, such as other road users or for other traffic situations. We also analyze what information is typically required by routing applications in automated driving, how this affects the shape of the routing graph, and how this information can be extracted efficiently. The paper concludes with an overview of developments in high-definition maps. In our opinion, these are lagging behind progress in the other areas of automated driving. We hope that Lanelet2 continues to gain increasing acceptance in the community and thus helps to remedy this shortcoming.

关键词： Roads Routing Task analysis Junctions Shape Planning Data models

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Measuring System Of Internal Charges In Electron Irradiated Spacecraft’s Insulating Medium

Measuring System Of Internal Charges In Electron Irradiated ...

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IEEE International Conference on Unmanned Systems (ICUS)

作者： Yue Feng Xusong Tang Yanhui Han Science and Technology on Electromechanical Dynamic Control Laboratory School of Mechatronical Engineering Beijing Institute of Technology Beijing China Beijing Orient Institute of Measurement& Test Beijing China

ISBN: (数字)9781728180250

ISBN: (纸本)9781728180267

The accumulation of internal charge in the insulating medium caused by the high-energy charged particles has been one of the important factors threatening the safety of spacecrafts. As the spacecraft's orbital flight time and flight height increase, the internally charged effect of its insulating medium becomes more and more serious. In this work, we designed an internal charge distribution measuring system for an insulating medium under electron irradiation, based on the acoustic pulse method. The system could measure the internal charge of the dielectric material without contacting between the sample and the excitation unit. Furthermore, the internal charge measurements were performed on three kinds of typical spacecraft insulation medium materials (polyimide (PI), low-density polyethylene (LDPE), and polytetrafluoroethylene (PTFE)) under electron irradiation. The internal charge and internal electric field distribution of the specimens were obtained. This system is more suitable for studying the internal charge accumulation behavior of spacecraft's insulating medium in space environment.

关键词： Radiation effects Polyimides Polyethylene Data processing Charge measurement

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Abnormal Behavior Detection Based on the Potential Field Forces in Surveillance Scenarios

Abnormal Behavior Detection Based on the Potential Field For...

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作者： Yong Qiang Shumin Fei Liuwen Li Key Laboratory of Measurement and Control of CSE(Ministry of Education) School of Automation Southeast University School of Computer Engineering Jinling Institute of Technology

In a social environment, there is a natural mutual force between people. This paper proposes a method for detecting group abnormal behavior based on the potential field method. The movement of a pedestrian is described as the movement towards the target under the combined action of several forces. Forces on pedestrians include the attractive force for themselves and the repulsive force between pedestrians. By calculating the resultant force between them, the behavior of pedestrians is judged according to a set threshold. It is verified through experiments on public data sets that our method has high accuracy and robustness.

关键词：

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The Study of Pt Isolated Single Atoms Assistant for the Hydrodeoxygenation of Phenol Under Mild Conditions

SSRN

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SSRN 2022年

作者： Li, Xu Ma, Longlong Yan, Long Liu, Ziyue Liao, Yuhe Department of Thermal Science and Energy Engineering University of Science and Technology of China Hefei230026 China Key Laboratory of Energy Thermal Conversion and Process Measurement and Control of Ministry of Education School of Energy and Environment Southeast University Jiangsu Nanjing210096 China CAS Key Laboratory of Renewable Energy Guangzhou Institute of Energy Conversion Chinese Academy of Sciences Guangzhou510640 China

Catalytic hydrodeoxygenation (HDO) of oxygenated compounds under mild conditions is essential for chemical refining, which is always relied on improving hydrogenation activity or/and acid strength of catalytic system. Here, with the synthesis of functional TiO 2 (B) nanosheet, we developed a novel Pt/TiO 2 (B) catalyst for HDO of phenol. Through the synergistic effect of dispersed Pt isolated single atoms and nanoclusters, phenol was efficiently converted into cyclohexane without extra acid under 50 o C and atmospheric hydrogen. The catalytic diversity of two Pt species for C=O/C=C bonds leads to the formation of ketene/enol intermediates, as detected in the in-situ FT-IR tests. Due to the low C-O bond energy of enol intermediates, the HDO of phenol could be carried out at mild conditions through the implementable C-O bond cleavage of enol intermediates. This study provides a new understanding of green HDO process and a novel approach for HDO catalysts developing. © 2022, The Authors. All rights reserved.

关键词： Phenols

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