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

共 4465 条记录，以下是131-140 订阅

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Assessing radar-Aided Navigation for UAM Approach and Landing Through High-Fidelity Simulations and Flight Testing 43

Assessing Radar-Aided Navigation for UAM Approach and Landin...

引用

43rd AIAA DATC/IEEE Digital Avionics Systems conference, DASC 2024

作者： Veneruso, Paolo Miccio, Enrico Opromolla, Roberto Fasano, Giancarmine Manica, Luca Gentile, Giacomo Tiana, Carlo Univ. of Naples 'Federico II' Dept. of Industrial Engineering Naples Italy Applied Research & Technology Collins Aerospace Rome Italy Vision Systems Collins Aerospace PortlandOR United States

ISBN: (纸本)9798350349610

In Urban Air Mobility, the approach and landing procedure of Vertical Take-off and Landing aircraft is recognized as a critical phase which needs innovative solutions to guarantee reliable operations. This paper focuses on validating an onboard multi-sensor architecture including a Frequency-Modulated-Continuous-Wave radar system, two cameras, a Global Navigation Satellite System receiver and an Inertial Measurement Unit. data from exteroceptive sensors are processed to detect and identify ad-hoc designed keypoints in the landing area. In this framework, the paper discusses radar processing algorithms designed to detect and match the ground reflectors used as navigation aids. The resulting measurements are integrated in an Extended Kalman Filter. A physics-based simulation environment is adopted to realistically simulate the sensor data used to test performance of the navigation filter. Finally, an helicopter flight test campaign is presented with the aim to validate the simulation results on real flight data. © 2024 IEEE.

关键词： Extended Kalman filters

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Wireless Ranging and Smelting Driving Location based on Moore Voting Method 2

Wireless Ranging and Smelting Driving Location based on Moor...

引用

2nd International conference on Innovations and Development of Information Technologies and Robotics, IDITR 2023

作者： Liu, Jinhao Lv, Zhiyong Xu, Jiahui Hu, Yiting Wuhan University of Technology Intelligent Transportation Systems Research Center Wuhan China Wuhan University of Technology Guangdong Inland Port and Shipping Research Co. Ltd. Wuhan China Wuhan University of Technology School of Automation Wuhan China

ISBN: (纸本)9798350345575

In order to explore the reasons for the insufficient positioning accuracy of the crane, to ensure the personal safety of the staff, and to improve the reliability of production operations and work efficiency. Focus on building a set of practical, easy-To-operate, concise and efficient real-Time positioning system based on TOF wireless ranging technology and laser radar technology measurement principle. Analyze the principle of the TOF wireless ranging data error, and use the extended Kalman filter method to perform error analysis and noise reduction processing on the distance data collected by the TOF wireless ranging sensor on site. After the extended Kalman filtering data, the average error is less than 0.1 cm, to improve the reliability and robustness of real-Time positioning systems for on-site operations in steel mills. The Moore voting method is used to locate the smelting crane laterally, combined with the distance data of the laser radar sensor to determine the longitudinal positioning of the wireless smelting crane, and realize the all-round real-Time positioning function of the smelting crane during operation. © 2023 IEEE.

关键词： Optical radar

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Proposal and Implementation of Support System for Care Workers Using Non- Contact Vital Signs sensor and Low-power Wide-area 23

Proposal and Implementation of Support System for Care Worke...

引用

11th International conference on Computer and Communications Management, ICCCM 2023

作者： Hibino, Shunya Wada, Takeshi Otsuka, Takanobu Dept. of Computer Science Nagoya Institute of Technology Nagoya Japan

ISBN: (纸本)9798400707735

In Japan, the demand for nursing care is increasing with the aging of the population. On the other hand, the nursing care industry is facing a serious problem of increasing the burden on care workers due to a shortage of labor. In this study, we proposed and implemented a support system for care workers that can detect when multiple persons requiring nursing care exit the bed and display vital data using a non-contact vital sensor, which is non-invasive and psychologically less burdensome for persons requiring nursing care. We mounted our board on the vital sensor and wirelessly sent vital data to a database server via Low-power Wide-area to create a visualization site to support care workers. We also realized a linkage mechanism with the nurse calls system using a photo relay. The visualization site assists care workers by displaying the history of persons being in or out of bed, displaying vital data, and comparing the data with past vital data. As an evaluation of the system, we conducted a demonstration experiment at a nursing home to evaluate the system and demonstrated its effectiveness of the system by checking the sleeping hours, awakenings at night, and vital data trends, of persons requiring care from the implemented visualization site. © 2023 ACM.

关键词： data visualization

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Raproto: An Open-Source Platform for Rapid Prototyping with Wearable Devices 20

Raproto: An Open-Source Platform for Rapid Prototyping with ...

引用

20th International conference on Body sensor Networks

作者： Hamid, Tarek Helm, Kimberly Choi, Hyonyoung Park, Jean Kendell, Claire Cummings, Stephanie Messe, Steve Modri, Stefanie Lee, Insup Weimer, James Watson, Amanda Univ Virginia Dept Elect & Comp Engn Charlottesville VA 22904 USA Univ Penn Dept Comp & Informat Sci Philadelphia PA USA Univ Penn Sch Med Philadelphia PA 19104 USA Univ Penn Sch Nursing Philadelphia PA USA

ISBN: (纸本)9798331530143

Advances in wearable technology have enabled ubiquitous use of wearable devices in remote patient monitoring, particularly in clinical trials. Because of the reliance on high-quality data in these endeavors, the first and often the most time-consuming step is to build a data collection system. While many systems have been developed to address this, they are often highly specific and customized to the task at hand, and are often not generalized enough to support other tasks. To remedy this, we developed Raproto, an open-source easy-to-use rapid prototyping platform that does not require the time, effort, and expertise needed for custom development. The Raproto platform consists of three components, the wearable device(s), communication protocol, and remote storage. These components support the collection, transmission, storage, analysis, and visualization of large-scale data with applications from smaller-scale research studies to large clinical trials. To reduce the burden of device and application development, we created multipurpose and customizable smartwatch applications on both the Android and Tizen operating systems. We evaluate our platform in a lab setting as well as in two real-world case studies. Overall, we find that we can collect data using our application for over 24 hours on a single charge and there is little to no data loss, thus making it an ideal tool to preface customized device development for real-world impact and commercialization.

关键词： wearables data collection Android Tizen remote patient monitoring clinical trials

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On the Minimum Set of Navigation sensors to Enable High-Resolution Automotive SAR Imaging

On the Minimum Set of Navigation Sensors to Enable High-Reso...

引用

IEEE radar conference (radarConf)

作者： Ciaramitaro, Giovanni Morri, Pietro Tagliaferri, Dario Nicoli, Monica Spagnolini, Umberto Russo, Ivan Badini, Damiano Politecn Milan DEIB Milan Italy Politecn Milan DIG Milan Italy Huawei Technol Italia Srl Huawei Milan Res Ctr Milan Italy

ISBN: (纸本)9781665436694

The possibility of exploiting the natural motion of the vehicle for synthesizing antenna arrays makes the automotive scenario an interesting application for Synthetic Aperture radar (SAR) technology. The latter enhances the imaging resolution without increasing the hardware cost. A fundamental requirement of SAR imaging is the knowledge of position and velocity of the the radar platform along the synthetic aperture, with an accuracy that shall be in the order of the wavelength. Navigation techniques fusing data from heterogeneous onboard sensors provide a good positioning solution, to be possibly refined with radar data. This paper addresses the question of whether there exist a minimum set of navigation sensors that guarantees sufficiently accurate SAR imaging in realistic urban scenarios, to minimize the hardware cost. We develop a multi-sensor navigation algorithm, considering different sets of sensors, and we discuss the impact of each one on navigation accuracy. The latter is validated against experimental data using Real Time Kinematics (RTK) positioning measurements as ground truth and SAR imaging results.

关键词： SAR Automotive sensor fusion Navigation

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radar micro-Doppler Predictions and Analysis for the DJI Phantom 2 Drone at X, V, and W-Band 27

Radar micro-Doppler Predictions and Analysis for the DJI Pha...

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conference on radar sensor technology XXVII

作者： Goyette, Thomas Dickinson, Jason DeMartinis, Guy Bloomer, Russell Molhoek, Charles Univ Massachusetts Lowell Submillimeter Wave Technol Lab 175 Cabot St Lowell MA 01854 USA US Army Natl Ground Intelligence Ctr 2055 Boulders Rd Charlottesville VA 22911 USA

ISBN: (纸本)9781510661844;9781510661851

Micro-Doppler radar signatures of helicopters and drones are gaining increasing importance. However, collecting data under controlled conditions on drones in flight can be difficult. The ability to use predictive codes to produce moving target and micro-Doppler radar data is becoming more important. In order to demonstrate the potential use of computer code predictions, this report will describe the X, V, and W-Band micro-Doppler signatures for the DJI Phantom 2 quadcopter. The predictions are generated using the Xpatch prediction code. The motion of all 4 propellers are simulated for realistic flight conditions. Predictions were performed at multiple viewing angles and using various PRF values. Additionally, different range resolutions were also predicted. The data is analyzed using a series of Range-Doppler spectrograms and short time Fourier transforms. The equations for the motion of the blades are examined in the context of the minimum PRF that is needed for capturing the micro-Doppler information. A discussion is included for finding the best frequency band to operate which balances the tradeoff of information content with operating frequency and PRF value. It is shown in the standard analysis that the unique shape of the blades produced patterns in the micro-Doppler signature that may be of use in target identification. Application of Time-Frequency-Analysis is also demonstrated. The predicted data is compared with micro-Doppler data measured in the laboratory using a 100 GHz compact range on a real Phantom 2 drone.

关键词： radar micro-Doppler Predictions Time-Frequency Analysis X-Band W-Band V-Band.

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RDA-Unet: A Retrieval Model for radar Composite Reflectivity Factor from Himawari-8 Observations 25

RDA-Unet: A Retrieval Model for Radar Composite Reflectivity...

引用

25th IEEE International conferences on High Performance Computing and Communications, 9th International conference on data Science and Systems, 21st IEEE International conference on Smart City and 9th IEEE International conference on Dependability in sensor, Cloud and Big data Systems and Applications, HPCC/DSS/SmartCity/DependSys 2023

作者： Jin, Zhengyong Lin, Huichao Xu, Xiaolong School of Computer Science Nanjing University of Information Science and Technology Nanjing China Nanjing China

ISBN: (纸本)9798350330014

Due to the unbalanced and insufficient distribution of meteorological radar in China, there is a large blind area of radar network in the southwest and the maritime region. With its larger observation range and less error-prone observation results, geostationary meteorological satellite can compensate for the radar network gap to a certain extent, however, the existing retrieval models are difficult to extract the complex multi-channel satellite data features effectively for the channel and spatial dimensions. To address the above problems, a U-Net-based network architecture called RDA-Unet is proposed. Specifically, the spatial attention module and channel attention module are introduced to aggregate features related to radar echoes in both spatial and channel dimensions in the original U-net architecture. Finally, the comparison experiments of multiple indicators verify that the algorithm in this paper has certain improvement in the accuracy of echo retrieval of different sizes, which demonstrates the superiority of the algorithm. © 2023 IEEE.

关键词： Remote sensing

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Animating Vital Signs in radar Simulations: Comparing Physical Optics Against 28.5 GHz Channel Measurements

Animating Vital Signs in Radar Simulations: Comparing Physic...

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IEEE radar conference (radarConf)

作者： Mukherjee, Swagato Hardy, Benjamin M. Skidmore, Greg J. Chawla, Tarun Bang, Jihoon Chuang, Jack Senic, Jelena Berweger, Samuel Blandino, Steve Gentile, Camillo Remcom Inc State Coll PA 16801 USA NIST Commun Technol Lab Boulder CO USA Univ Colorado Boulder Dept Phys Boulder CO USA NIST Commun Technol Lab Gaithersburg MD 20899 USA Prometheus Comp LLC Bethesda MD USA

ISBN: (纸本)9798350329216;9798350329209

Monitoring vital signs such as breathing or heart rates as well as other physical movements in complex environments is the basis for many emerging applications spanning from healthcare to autonomous vehicles. Designing radar systems capable of remotely monitoring these movements necessitates measurement campaigns in combination with advanced machine-learning algorithms. Despite the compelling applications and the need for large and diverse data sets for validation of design, there are few examples of simulated human movement in multipath environments in the literature. To address this gap, the work presented here outlines a method to accurately simulate radar back-scatter from time varying human movement. Specifically, we animate human breathing with anatomically accurate mathematical models through physical-optics-based simulation and validated them against monostatic radar measurements with a 28.5 GHz channel sounder in a semi-anechoic chamber by the National Institute of Standards and technology, capturing phase and path loss over time from a human breathing positioned 2 m away. Using vital sensor data as ground truth, we demonstrate the animations to match the simulated human's breathing patterns and heart rate. Furthermore, the simulation resulted in excellent agreement with the measured phase across ten breaths, and had a root-mean-square error (RMSE) of 2.1 dB in path loss.

关键词： Raytracing Physical Optics human breathing mmWave WaveFarer

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Concept and Design of Precise radar sensor for Relative Navigation in Ocean Environment 26

Concept and Design of Precise Radar Sensor for Relative Navi...

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conference on radar sensor technology XXVI Part of SPIE Defense and Commercial Sensing conference

作者： Zhang, Yan (Rockee) Metcalf, Justin Sun, Wei Univ Oklahoma Sch Elect & Comp Engn Norman OK 73019 USA Univ Oklahoma Adv Radar Res Ctr Norman OK 73019 USA Univ Oklahoma Sch Aerosp & Mech Engn Norman OK 73019 USA

ISBN: (纸本)9781510650930;9781510650923

This work addresses the design considerations, simulations, and fundamental framework of a novel Relative Navigation (RN) radar sensor operating at millimeter-wave bands, aiming at operating in ocean environments. A "multi-loop" system structure is suggested, which is believed to be the method to achieve the accuracy and reliability of a non-traditional tracking radar sensor. Simulation studies and data collection verification for preliminary hardware and software elements are presented.

关键词： Relative Navigation GPS-Denied radar Navigation millimeter-wave radar system

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Characterization of Marine Aquaculture Structures Using TanDEM-X Dual-Pol SAR data 15

Characterization of Marine Aquaculture Structures Using TanD...

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15th European conference on Synthetic Aperture radar, EUSAR 2024

作者： Gawai, Dnyaneshwar Romero-Puig, Noelia Hajnsek, Irena Patidar, Pankaj Dey, Subhadip Bhattacharya, Avik Agricultural and Food Engineering Department Indian Institute of Technology Kharagpur Kharagpur India Weßling Germany Institute of Environmental Engineering ETH Zürich Switzerland Department of Aerospace and Geodesy Technical University of Munich Munich Germany Microwave Remote Sensing Lab Indian Institute of Technology Bombay Mumbai India

ISBN: (纸本)9783800762873

The detection and characterization of coastal aquaculture structures is gaining attention due to its increasing global demand. To date, the use of Synthetic Aperture radar (SAR) data for this application has been, so far, limited to the exploitation of only the SAR backscatter intensity, mostly exploiting dual-pol VV-HV or HH-VH of the Sentinel-1 C-band sensor. This study provides a first analysis on the characterization of aquaculture structures by exploiting dual-pol HH-VV TanDEM-X data. Such analysis is performed over a mussel production area located in the Ría de Arousa estuary of the Galician sea in Spain. A statistical analysis over the HH SAR backscatter was performed to detect 472 raft structures, and an initial polarimetric analysis demonstrated the possibility to identify those structures and characterize their polarimetric signature, different from that of the surrounding water. © VDE VERLAG GMBH ∙ Berlin ∙ Offenbach.

关键词： Synthetic aperture radar

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