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

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Resource-Efficient sensor Fusion via System-Wide Dynamic Gated Neural Networks 21

Resource-Efficient Sensor Fusion via System-Wide Dynamic Gat...

引用

21st Annual IEEE International conference on Sensing, Communication, and Networking, SECON 2024

作者： Singhal, C. Wu, Y. Malandrino, F. de Guevara Contreras, S. Ladron Levorato, M. Chiasserini, C.F. INRIA France UC Irvine United States CNR-IEIIT Italy CNIT Italy Politecnico di Torino Italy Chalmers University of Technology Sweden

ISBN: (纸本)9798331519186

Mobile systems will have to support multiple AI-based applications, each leveraging heterogeneous data sources through DNN architectures collaboratively executed within the network. To minimize the cost of the AI inference task subject to requirements on latency, quality, and - crucially - reliability of the inference process, it is vital to optimize (i) the set of sensors/data sources and (ii) the DNN architecture, (iii) the network nodes executing sections of the DNN, and (iv) the resources to use. To this end, we leverage dynamic gated neural networks with branches, and propose a novel algorithmic strategy called Quantile-constrained Inference (QIC), based upon quantile-Constrained policy optimization. QIC makes joint, high-quality, swift decisions on all the above aspects of the system, with the aim to minimize inference energy cost. We remark that this is the first contribution connecting gated dynamic DNNs with infrastructure-level decision making. We evaluate QIC using a dynamic gated DNN with stems and branches for optimal sensor fusion and inference, trained on the RADIATE dataset offering radar, LiDAR, and Camera data, and real-world wireless measurements. Our results confirm that QIC matches the optimum and outperforms its alternatives by over 80%. © 2024 IEEE.

关键词： Constrained optimization

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Design of Head-up Display Based on Vehicle radar Warning

Design of Head-up Display Based on Vehicle Radar Warning

引用

International conference on Display technology, ICDT 2022

作者： Dai, Zhenzhao Ma, Junce Li, Wanlin North China University of Technology Beijing China

This paper is based on STM 32 portable body omnidirectional radar head-up display hardware and software design. Compared with the traditional OBD, the head-up display can not only monitor the dangerous distance of the vehicle body in the process of parking and generate early warning, but also accurately locate the position of the safe distance in the vehicle operation. The omni-directional heads-up display designed by the scheme can project the running parameters of the vehicle and the distance measured by the surrounding radar, which can provide a driving safety warning value for the driver. Combined with STM 32 control unit as data processing basis, ultrasonic radar sensor is used to measure the distance information around the vehicle, and the vehicle information is read with OBD ii interface. Finally, the prompt information is displayed on the head-up display. © 2022, John Wiley and Sons Inc. All rights reserved.

关键词： radar measurement

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Ground-based radar Networks for Urban Air Mobility: Design Considerations and Performance Analysis 41

Ground-based Radar Networks for Urban Air Mobility: Design C...

引用

41st IEEE/AIAA Digital Avionics Systems conference, DASC 2022

作者： Aievola, Rosario Causa, Flavia Fasano, Giancarmine Manica, Luca Gentile, Giacomo Dubois, Michael University of Naples Federico Ii Department of Industrial Engineering Naples Italy Collins Aerospace Applied Research & Technology Trento Italy Raytheon Intelligence & Space Raytheon Technologies MarlboroughMA United States

ISBN: (数字)9781665486071

ISBN: (纸本)9781665486071

This paper is aimed at exploring the design space and preliminary investigating the performance of ground-based radar networks for low altitude airspace surveillance in Urban Air Mobility scenarios. An overview of radar network design considerations is given focusing on sensor characteristics and network coverage in urban environments. sensor placement strategies are discussed which optimize tracking performance in volumes of interest for a given number of sensors. Assuming a network of sensors with given specifications, tracking performance is assessed in realistic simulation environments considering different data fusion architectures. This analysis points out the advantages of agile sensing based on adaptive scanning. © 2022 IEEE.

关键词： Air mobility

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

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

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conference on Digital Avionics Systems (DASC)

作者： Paolo Veneruso Enrico Miccio Roberto Opromolla Giancarmine Fasano Luca Manica Giacomo Gentile Carlo Tiana Dept. of Industrial Engineering Univ. of Naples “Federico II” Naples Italy Gentile Applied Research & Technology Collins Aerospace Rome Italy Vision Systems Collins Aerospace Portland OR USA

ISBN: (数字)9798350349610

ISBN: (纸本)9798350349627

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.

关键词： Measurement units radar measurements Spaceborne radar Simulation radar detection Receivers Aircraft navigation sensors Reliability Testing

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Fuzzy Logic Based-Assistance System for Detecting Forklift Blind Spot Area Using radar-Like-Ultrasonic sensors

Fuzzy Logic Based-Assistance System for Detecting Forklift B...

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2023 IEEE International conference on Internet of Things and Intelligence Systems, IoTaIS 2023

作者： Prasetyo, Tegar Bahiuddin, Irfan Rezy Pratama, Dafa Surojo Ariff, Mohd Hatta Mohammed Vocational College Universitas Gadjah Mada Department of Mechanical Engineering Yogyakarta Indonesia Malaysia-Japan International Institute of Technology Universiti Teknologi Malaysia Kuala Lumpur Malaysia

ISBN: (纸本)9798350319040

The utilization of forklifts in the industrial sector presents challenges in terms of visibility, particularly in certain areas known as blind spots. The operator's attentiveness when assessing objects in these blind spot areas significantly influences the safety of both the operator and the objects within the operating vicinity. To address this issue, this study aims to develop a system to detect objects within the blind spot area of the forklift unit using fuzzy logic and ultrasonic with a configuration similar to radar. This system can make decisions regarding object severity and positions. The system's scope encompasses the detection of objects in the blind spot areas on the sides, right, left, and rear of the forklift with severity identification. When an object is detected within the blind spot area, the system automatically issues notifications regarding the object's severity and position through LED indicators, RGB lights, and a buzzer. For conducting the experiment, the employed HC-SR04 ultrasonic sensor is firstly tested. The results show that it can continuously detect objects up to a maximum measured distance of 402.46 cm. Several fuzzy logic scenarios are then employed by considering various rules. The first rule considers as the high severity while the object position at the medium distance and behind the unit. The second rule decide otherwise. After conducting the simulation and experiment, the first rule is selected because it provides output with a good agreement with expert references. In brief, based on the testing results, the proposed system has demonstrated its ability to accurately detect object positions and severities. © 2023 IEEE.

关键词： Fuzzy logic

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WaveTune: Harnessing radar sensors to Compose Music Beats with Body Gestures

WaveTune: Harnessing Radar Sensors to Compose Music Beats wi...

引用

International conference on Distributed Computing in sensor Systems (DCOSS)

作者： Suchdeep Singh Juneja Girish Vaidya Marco Zuniga Delft University of Technology Delft Netherlands Amsterdam Institute for Advanced Metropolitan Solutions Amsterdam Netherlands

ISBN: (数字)9798350369441

ISBN: (纸本)9798350369458

In the field of music technology, the ability to connect body movements with music generation has led to highly engaging applications. Many existing solutions use cameras or wearable devices to capture physical movements and translate them into commands for a music generation tool. While the camera-based systems are privacy-invasive and demand good lighting conditions, the wearable devices adversely impact the fluidity of movements. We propose WaveTune, a privacy-friendly and device-free interface for creating music beats through body gestures. Wavetune has the following components: (i) a millimeter-wave radar as the frontend sensor that captures body movements, (ii) a gesture recognition algorithm that performs gesture delimitation and identification in real-time, and (iii) a music generation component that maintains a seamless and pleasant experience. WaveTune also provides an option to continuously map random dynamic movements into musical parameters to encourage further interaction. We recruited 24 users to train and test WaveTune’s ability to map body gestures to musical commands. To the best of our knowledge, WaveTune is the first mmWave system that allows a layered composition of music beats.

关键词： Performance evaluation Urban areas Music Gesture recognition Millimeter wave radar Cameras Real-time systems

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Through-the-Wall Multi-Person Localization using Translation and Rotation Synthetic Aperture radar

Through-the-Wall Multi-Person Localization using Translation...

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International conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： S. Sinha A. Deshwal A. Azizi D. Pandey N. Mehrotra A. Pal A. Sabharwal Indian Institute of Technology Kanpur Uttar Pradesh India Rice University Houston Texas United States

ISBN: (数字)9798350368741

ISBN: (纸本)9798350368758

An emerging application of wireless sensing is locating and tracking humans in their living environments, a primitive that can be leveraged in both daily life applications and emergency situations. However, most proposed methods have limited spatial resolution when multiple humans are in close vicinity. The problem becomes exacerbated when there is no line-of-sight path to the humans. In this paper, we consider multi-person localization of humans in close vicinity of each other. We propose the use of synthetic aperture radar that combines both translation and rotation to increase effective aperture size, leveraging small rhythmic changes in the radar range due to human breathing. We experimentally evaluate the proposed algorithm in both line-of-sight and through-wall cases with three to five humans in the scene. Our experimental results show that: (i) larger synthetic apertures due to radar translation improve multi-person localization, e.g., by 1.42× when the aperture size is increased by a factor of 2×, and (ii) rotation can largely compensate for gains provided by translation, e.g., rotating the radar over 360° without changing the aperture size results in 1.22× gains over no rotation. Overall, maximal gains of 2.19× are achieved by rotating and translating over a 2× larger aperture.

关键词： Location awareness Wireless communication Wireless sensor networks Translation Line-of-sight propagation Apertures Trajectory Ultra wideband radar Speech processing Synthetic aperture radar

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radar-visual navigation for all-weather approach and landing to vertiports

Radar-visual navigation for all-weather approach and landing...

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conference on Digital Avionics Systems (DASC)

作者： Paolo Veneruso Enrico Miccio Flavia Causa Roberto Opromolla Giancarmine Fasano Luca Manica Giacomo Gentile Carlo Tiana Dept. of Industrial Engineering Univ. of Naples "Federico II" Naples Italy Applied Research & Technology Collins Aerospace Trento Italy Applied Research & Technology Collins Aerospace Rome Italy Vision Systems Collins Aerospace Portland OR

This paper presents an onboard multi-sensor navigation architecture to support approach and landing of rotorcraft in Urban Air Mobility scenarios. The proposed solution integrates an inertial measurement unit, a GNSS receiver, two cameras and a radar within an Extended Kalman Filter-based fusion framework. The integration of radar within the onboard architecture allows the system to operate in challenging visibility/illumination conditions, while also providing redundancy, and thus enhanced integrity, when the cameras are operating in nominal mode. Minimum requirements of the radar system are defined based on the constraints on the approach trajectory and ground infrastructure recently defined by the regulations. Then, the navigation architecture is detailed and its performance is evaluated through different simulations varying factors such as the cameras operation range and the number of ground scatterers exploited by the radar.

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Impact of WSR-88D MESO-SAILS Usage on MRMS-Based Quantitative Precipitation Estimation

Impact of WSR-88D MESO-SAILS Usage on MRMS-Based Quantitativ...

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IEEE National conference on radar

作者： James M. Kurdzo Michael F. Donovan John Y. N. Cho Betty J. Bennett Lincoln Laboratory Massachusetts Institute of Technology Lexington MA USA

ISBN: (数字)9798350329209

ISBN: (纸本)9798350329216

Quantitative precipitation estimation (QPE) is a critical aspect of the United States' operational Weather Surveillance radar 1988-Doppler (WSR-88D) network. By estimating QPE accurately, radar data can be fed into hydrological models to provide near-real time flash flood guidance to forecasters issuing life-saving warnings. Among the most commonly used tools by forecasters are the Multi-radar Multi-sensor (MRMS) QPE products, which utilize WSR-88D data to re-process QPE as a mosaic that is corrected by ground-based rain gauges. As part of ongoing WSR-88D upgrades, enhancements, and service-life extension plans, the National Weather Service (NWS) radar Operations Center (ROC) regularly adds new Volume Coverage Pattern (VCP) options to the network. In the past decade, this has included the option for supplemental adaptive intra-volume low-level scans (SAILS), as well as the multiple elevation scan option for SAILS (MESO-SAILS). SAILS and MESO-SAILS allow radar operators to insert between one and three additional base tilt(s) evenly spaced throughout a VCP. It is shown in this study that since the MRMS QPE initial inputs are derived from WSR-88D Level-ii estimates, and additional base scans at higher temporal resolution decreases the integration period for QPE, errors in QPE decrease as the number of SAILS scans increases. Presentation of statistically quantified results are supported by a discussion of the applicability to future weather radar networks such as phased array radar systems.

关键词： Phased arrays Meteorological radar Rain Surveillance Spaceborne radar Weather forecasting Estimation

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Extraction of Ground Clutter Return Interference from Downward-Looking UWB radar Signal 25

Extraction of Ground Clutter Return Interference from Downwa...

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conference on radar sensor technology XXV

作者： Nguyen, Lam H. US DEVCOM Army Res Lab Adelphi MD 20783 USA

ISBN: (纸本)9781510643222

Ultra-wideband (UWB) ground-penetrating radar (GPR) technology has been widely employed for detecting targets that range from buried explosive devices such as landmines, improvised explosive devices (IEDs), to underground utilities and tunnels, etc. However, the backscatter signals from the ground surface pose a critical challenge for downward-looking GPR systems since (i) these ground return signals have significant power compared to the backscatter signal from subsurface targets, and (ii) the ground return and target signals completely overlap in both the time and frequency domains. Many techniques have been proposed to date;however, they all have limitations in mitigating the adverse effects of the very high power ground return interference (GRI) signals. This paper presents a novel technique for reconstructing and extracting the GRI signals from downward-looking UWB GPR signals. Our proposed technique performs an estimation of the return signal from the ground surface. This signal estimation, together with the estimated scatter center of the ground surface, is used to construct a dictionary that represents the ground return signal subspace. Finally, we employ a sparsity-driven optimization algorithm to reconstruct the GRI signals and then extract them from the received radar signals. All information used to construct the dictionary is completely derived from the data. Our technique performs this GRI extraction directly in the phase history data domain prior to synthetic aperture radar (SAR) image formation. Thus, it can be implemented as an additional step, completely independent from all other steps, in the pre-processing stage. Recovery results from simulated data set illustrate the robustness and effectiveness of our proposed technique.

关键词： UWB radar SAR GPR interference ground return sparsity sparse recovery noise-source separation

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