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检索条件"任意字段=Conference on Radar Sensor Technology"

共 5986 条记录，以下是131-140 订阅

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A Study on Point Cloud Clustering for Geo-referenced Positioning using mmWave radar sensor 29

A Study on Point Cloud Clustering for Geo-referenced Positio...

引用

29th IEEE Asia Pacific conference on Communications, APCC 2024

作者： Park, Daeseung Choi, Jaemin Chang, Hojong Lee, Chae-Seok Kaist Convergence Research Center for College of Engineering Daejeon Korea Republic of

ISBN: (纸本)9798331517816

In the field of urban safety, extensive research is being conducted on the application of mmWave radar sensors for both indoor and outdoor environments. These advanced sensing technologies are gaining attention due to their potential to enhance monitoring and response capabilities in complex urban settings. Traditional CCTV-based geo-referenced positioning technology predicts Geographic coordinates data to enable real-time site response in the event of an incident. However, pixel-based relative geo-referenced methods of CCTV suffer from low recognition rates and precision due to terrain characteristics. mmWave radar sensors, in contrast, are minimally affected by weather conditions, use high frequencies in the 60-63 GHz range, and offer high precision. Additionally, these sensors can penetrate structures up to 15 cm thick. Despite these advantages, the number, shape, and position of recognized objects in three-dimensional space vary depending on the sensor installation angle and position, complicating the application of geo-referenced technology for accurate positioning. Consequently, mmWave radar sensors have not been widely utilized for positioning. This study proposed and implemented a geo-referenced positioning model using mmWave radar sensors to address these technical challenges. The proposed model employed a dimension transformation clustering technique based on orthogonal projection methods. Implementation and experimental results demonstrated that the average georeferenced error using mmWave radar sensors was reduced to 3.5 cm, representing a 95.33 % improvement in precision compared to traditional CCTV-based geo-referenced methods. © 2024 IEEE.

关键词： Geo-referenced positioning Improving performance mmWave radar sensor

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Adaptive Cross-Attention Gated Network for radar-Camera Fusion in BEV Space 27

Adaptive Cross-Attention Gated Network for Radar-Camera Fusi...

引用

27th International conference on Advanced Communications technology, ICACT 2025

作者： Lee, Ji-Yong Lee, Jae-Hyeok Kang, Dong-Oh Visual Intelligent Lab. ETRI Daejeon Korea Republic of The University of Texas atAustin AustinTX78712 United States

ISBN: (纸本)9791188428137

Fusing multimodal sensors for 3D object detection has been extensively researched in the field of autonomous driving. However, existing multimodal sensor fusion methods still struggle to provide reliable detection across different modalities under diverse environmental conditions. Specifically, straightforward methods like summation or concatenation in radar-camera fusion may lead to spatial misalignment and fail to localize objects in complex scenes. To address this, we propose Adaptive CrossAttention Gated Network (ACAGN) to enhance radar-camera fusion capabilities in Bird’s-Eye View (BEV) space. Our approach integrates a deformable cross-attention and an adaptive gated network mechanism. The deformable cross-attention aligns radar and camera features from BEV with greater spatial precision, handling variations between those features effectively. Meanwhile, the adaptive gated network dynamically filters and prioritizes the most relevant information from each sensor. This dual approach improves stability and robustness of detection, as demonstrated through extensive evaluations on the nuScenes dataset. Copyright 2025 Global IT Research Institute (GIRI). All rights reserved.

关键词： Adaptive filters

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Design of 24 GHz Microstrip Array Antenna for Automotive radar 16

Design of 24 GHz Microstrip Array Antenna for Automotive Rad...

引用

16th International conference on Microwave and Millimeter Wave technology (ICMMT)

作者： Xu, Shasha Xu, Huidong Dong, Rongrong Deng, Changjiang Beijing Inst Technol Tangshan Res Inst Tangshan 063099 Peoples R China Beijing Inst Technol Sch Integrated Circuits & Elect Beijing Key Lab Millimeter Wave & Terahertz Techn Beijing 100081 Peoples R China

ISBN: (纸本)9798350389968

In this study, a microstrip planar array antenna operating at 24GHz is designed. The combination of series and parallel feed structure is adopted to reduce the loss of the feed line. In addition, Chebyshev distribution is used to make the width of each patch change proportionally and achieve the effect of reducing the sidelobe level of the antenna. Simulation results show that the gain of the antenna reaches 23.31 dBi. The sidelobe level in E- plane is -18.04 dB, and the half-power beamwidth is 10.1 degrees. The sidelobe level in H-plane is -21.4dB and the half-power beamwidth is 10.37 degrees. Measurement results verify the effectiveness of the proposed strategy.

关键词： Automotive radar

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Poster: Indoor NLoS Localization Using mmWave IRS with Commodity 24 GHz radar 24

Poster: Indoor NLoS Localization Using mmWave IRS with Commo...

引用

22nd ACM conference on Embedded Networked sensor Systems, SenSys 2024

作者： Yan, Yihe Shi, Zhenguo Wang, Yanxiang Chou, Chun Tung Hu, Wen University of New South Wales Sydney Australia

ISBN: (纸本)9798400706974

Non-line-of-sight (NLoS) sensing represents a significant advancement in sensor technology. Unlike traditional sensing methods that rely on direct line-of-sight, NLoS sensing allows for the detection and localization of objects obscured from the sensor's view. In this paper, we introduce mmMirror, a novel Van Atta Array based millimetre-wave (mmWave) reconfigurable intelligent reflecting surface (IRS) that provides: (i) NLoS localization at a range of approximately 3 meters, (ii) seamless communication between radar and IRS using existing frequency-modulated continuous-wave (FMCW) signals, and (iii) support for multiple targets. The mmMirror system is implemented on commodity 24 GHz radars, and the IRS is prototyped on printed circuit boards (PCBs). © 2024 Copyright held by the owner/author(s).

关键词： Printed circuit boards

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radar Fault Detection via Camera-radar Branches Learning Network 5

Radar Fault Detection via Camera-Radar Branches Learning Net...

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5th International conference on Artificial Intelligence in Information and Communication (ICAIIC)

作者： Ning, Dian Han, Dong Seog Kyungpook Natl Univ Sch Elect & Elect Engn Daegu South Korea Kyungpook Natl Univ Daegu Sch Elect Engn Daegu South Korea

ISBN: (纸本)9781665456456

radars are widely used in autonomous driving technology. Self-driving usually relies on radar signals to recognize pedestrians and vehicles, identify the surrounding environments reliably, avoid car crashes and navigation, and provide a reliable route to avoid collisions. The radar plays an important role in vehicle systems, and maintaining its proper functioning is necessary for the safety of self-driving systems to be considered. However, sensor faults are unavoidable. When the radar sensor is faulty, the radar signal will not receive the correct feedback information. Currently, it is hard to detect fault errors in radars, and the algorithm is complicated to work with. To analyze the radar cross section (RCS) signal and distance relationship, we used the RCS signal feature and combined the real-time features of the vehicle camera with the convolutional neural network (CNN) model to identify the fault information as expected. The paper uses a new data generator feature and deep learning model, recognizes the input signal as normal and abnormal, and the accuracy improves to 95.54%.

关键词： Anomaly Detection radar Cross Section(RCS) Convolutional Neural Network(CNN)

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Wideband RCS Reduction of Dual Circularly Polarized Array Using Polarization Conversion Metasurface 16

Wideband RCS Reduction of Dual Circularly Polarized Array Us...

引用

16th International conference on Microwave and Millimeter Wave technology (ICMMT)

作者： Ren, Junyu Zheng, Qi Pang, Xiaoyan Northwestern Polytech Univ Sch Elect & Informat Xian 710072 Peoples R China Shanghai Univ Sch Commun & Informat Engn Shanghai 200444 Peoples R China

ISBN: (纸本)9798350389968

This paper presents a novel dual circularly polarized (CP) slot array antenna that reduces radar cross section (RCS) over a wideband. The design includes a checkerboard polarization conversion metasurface (PCM) and a CP slot array antenna with a ring-shaped feeding part. On the one hand, the backscattered scattering is reduced due to that the beam interference of the reflected waves generated by PCM. The antenna achieves a 97% relative bandwidth of RCS reduction across its operating band. On the other hand, thanks to the ring-shaped feeding part, the array has dual CP radiation within 8.87-9.32GHz. The proposed method is a simple, low-cost, and innovative approach to designing wideband low-RCS dual CP antennas.

关键词： radar cross section

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Three-Dimensional Cooperative Localization Based on Active radar/Infrared at Different Sites 2

Three-Dimensional Cooperative Localization Based on Active R...

引用

2nd IEEE International conference on Signal, Information and Data Processing, ICSIDP 2024

作者： Qian, Jialun Wang, Linhai Zhou, Shenghua Gong, Min Zhao, Pengfei Yang, Jian Sui, Xin Xidian University National Key Laboratory of Radar Signal Processing Xi'an China China Academy of Launch Vehicle Technology Beijing China

ISBN: (纸本)9798331515669

Multi-source perception fusion positioning technology based on heterogeneous sensors is a key research area in the field of target positioning. The heterogeneous sensor positioning system composed of radar and infrared has a wide range of applications. However, existing works mostly use radar measurement to expand the dimension of infrared data to locate target, which will introduce the large angle measurement error of radar into infrared. In this paper, we propose a radar/infrared linear weighted least-squares (WLS) localization algorithm based on target motion model. First, we build linear equations of target position relative to radar and infrared based on the space relationship, respectively. In this manner, the position of target can be solved through a linear optimization problem. Two kinds of equations are combined by deformation and solved by WLS algorithm to achieve the target localization. Simulation results show that the proposed method has better target localization performance than that of single radar, and with the improvement of the measurement accuracy of radar/infrared sensors, the localization effect is better. © 2024 IEEE.

关键词： radar measurement

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Bandwidth and Gain Enhancement of Low-RCS Dual-Polarized Patch Antennas Based on Polarization Conversion Metasurface 16

Bandwidth and Gain Enhancement of Low-RCS Dual-Polarized Pat...

引用

16th International conference on Microwave and Millimeter Wave technology (ICMMT)

作者： Zhao, Qi Wu, Zhongdian Xia, Zhenxing Zheng, Qi Shanghai Univ Sch Commun & Informat Engn Shanghai Peoples R China

ISBN: (纸本)9798350389968

A broadband and high-gain dual-polarized patch antenna with loading polarization conversion metasurfaces (PCMs), achieved low radar cross section (RCS) is proposed. The proposed conventional dual-polarized antenna is integrated with surrounded PCMs at the same layer. Due to the parasitic of the PCMs, an additional mode is excited and the vertical bar S-11 vertical bar<-10dB is expanded from 6% to 15.4%. The port isolation of the two polarizations is over 18 dB, the peak gain is enhanced 5 dB owing to the equivalent radiating aperture. Besides, achieving RCS reduction within band owing to the polarization conversion theory of the PCMs. At 6.0 GHz, a RCS reduction effect can reach 30 dB. The proposed antenna is fabricated and measured.

关键词： Dual-polarized antenna polarization conversion metasurfaces (PCMs) radar cross section (RCS)

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To Design and Implement a radar System using Arduino and Ultrasonic sensor 2

To Design and Implement a Radar System using Arduino and Ult...

引用

2nd International conference on Automation, Computing and Renewable Systems, ICACRS 2023

作者： Rajeswari, Mummadi Lingappa, J. Basha, Mulla Gouse Deepa, Velagapuri Sravani, Vajrapu Srilatha, Kommidi Department of ECE Teegala Krishan Reddy Engineering College India Department of EEE Geethanjali College of Engineering and Technology India

ISBN: (纸本)9798350340235

radar technology has been a cornerstone of numerous applications, from aviation to meteorology, offering invaluable capabilities for object detection and tracking. Traditional radar systems, while powerful, often come with significant costs and complexities, limiting their accessibility in various fields. In response to these limitations, this research endeavors to design and implement a radar system using Arduino microcontrollers and ultrasonic sensors. This innovative approach leverages the flexibility and affordability of the Arduino platform and the distance measurement precision of ultrasonic sensors to create a radar-like system. The research encompasses the development of the hardware, data acquisition, signal processing, and real-time visualization, providing an accessible and cost-effective alternative for radar-based applications. The study explores the integration of Arduino technology and ultrasonic sensors into radar systems, with a focus on simplicity, affordability, and practicality. By bridging the gap between traditional radar systems and DIY electronics, this research aims to democratize radar technology and open doors for applications in robotics, smart cities, industrial automation, and education. The findings presented here offer new perspectives on radar system design and underscore the potential for radar innovation in emerging fields. © 2023 IEEE.

关键词： Arduino radar system Servomotor Ultrasonic sensor

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Human Activity Recognition using Low Cost Doppler radar sensor Network and CNN 9

Human Activity Recognition using Low Cost Doppler Radar Sens...

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9th International conference on Smart Computing and Communications, ICSCC 2023

作者： Deepthy, G.S. Peter, Keyaa Mathew, Edwin Thomas Bijoy, Meenakshy Jojo, Meenu Electronics and Communication Engineering Rajagiri School of Engineering and Technology Cochin India

ISBN: (纸本)9798350314090

Doppler radar sensor networks have gained increasing attention in human activity recognition due to their non-invasive nature and ability to operate in various environmental conditions. This technology has shown great potential in monitoring human activities such as walking, running, and even breathing. The Doppler radar sensors detect changes in the reflected signal caused by the movement of objects, including humans, and can provide valuable information about their movement patterns. In this abstract, we review the current state-of-the-art in Doppler radar sensor networks for human activity recognition which is low cost, non contact and privacy protected, highlighting the various signal processing techniques used to extract meaningful features from the raw data. © 2023 IEEE.

关键词： Doppler radar

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