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

共 4468 条记录，以下是11-20 订阅

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Development of Ultrasonic radar System for Object Detection Using PIC 16F877A

Development of Ultrasonic Radar System for Object Detection ...

引用

Innovative Research in Applied Science, Engineering and technology (IRASET),conference on

作者： Abdenour Hellas Fouad Slaoui Hasnaoui Department of Engineering University of Quebec in Abitibi Témiscamingue (UQAT) Canada

ISBN: (数字)9798331532970

ISBN: (纸本)9798331532987

Ultrasonic radar represents a promising technology, offering reduced cost while combining efficiency and versatility. This project details the design and implementation of a radar system based on the PIC 16F877A microcontroller, capable of measuring both the distance and direction of objects in their environment. To achieve this, an ultrasonic sensor is used in combination with a stepper motor, enabling the system to scan a full 360° area. The collected data is then displayed in real-time on an LCD screen, providing clear and precise visualization of the information. The system also integrates LEDs that serve as visual indicators to signal the proximity of detected objects. When objects are at critical distances, a buzzer is activated to alert the user, adding an auditory dimension to the detection. This feature is particularly useful for applications requiring rapid response, such as surveillance, automotive, or navigation. Comprehensive tests were conducted to evaluate the system's performance. These tests included both stationary and moving targets, allowing for the verification of reliability and measurement accuracy under various conditions. The results showed that the distances measured by the system had minimal deviations from the actual distances, confirming the high precision of the device.

关键词： visualization Ultrasonic variables measurement radar measurements Microcontrollers radar detection radar radar tracking Motors Acoustics Liquid crystal displays

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Microwave Photonics Computational Signal Algebra Framework for radar Integrated Sensing and Communication Applications 5

Microwave Photonics Computational Signal Algebra Framework f...

引用

5th IEEE MTT-S Latin America Microwave conference, LAMC 2025

作者： Aceros, Cesar Valera-Marquez, Juan Aviles, Yvonne Rodriguez, Domingo UTS Santander Colombia Universidad de Puerto Rico Río Piedras Puerto Rico Universidad de Puerto Rico Mayagüez Puerto Rico

ISBN: (纸本)9798331540401

This work presents a computational signal algebra (CSA) framework for microwave photonics signal processing efforts in radar integrated sensing and communication (RISC) applications, for areas such as parameter estimation, beamforming, and waveform design. The proposed framework presents a set of computational methods, with an associated visualization environment for time-frequency tools such as the short-time Fourier transform (STFT), the cross-ambiguity function (CAF), and the Wigner-Ville distribution (WVD). The discrete ambiguity function (DAF) was implemented as a user defined function (UDF) to be used as a signal correlation analysis and waveform design tool aiming at assisting in research efforts towards efficient use of the electromagnetic spectrum by reducing noise and interference and adhering to spectrum management regulatory standards. Significant computational speedups were obtained for the CAF by introducing novel data sampling algorithmic techniques. Finally, an information flow security framework is proposed utilizing a post-quantum cryptography (PQC) approach in RISC environments. © 2025 IEEE.

关键词： Wigner-Ville distribution

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data Fusion Approach for Unmodified UAV Tracking with Vision and mmWave radar

Data Fusion Approach for Unmodified UAV Tracking with Vision...

引用

International conference on Unmanned Aircraft Systems (ICUAS)

作者： Guilherme Amaral João J. Martins Pedro Martins André Dias José Almeida Eduardo Silva INESC TEC - Institute for Systems and Computer Engineering Technology and Science Porto Portugal ISEP Polytechnic of Porto rua Dr. António Bernardino de Almeida Porto Portugal

ISBN: (数字)9798331513283

ISBN: (纸本)9798331513290

The knowledge of the precise 3D position of a target in tracking applications is a fundamental requirement. The lack of a low-cost single sensor capable of providing the three-dimensional position (of a target) makes it necessary to use complementary sensors together. This research presents a Local Positioning System (LPS) for outdoor scenarios, based on a data fusion approach for unmodified UAV tracking, combining a vision sensor and mmWave radar. The proposed solution takes advantage of the radar's depth observation ability and the potential of a neural network for image processing. We have evaluated five data association approaches for radar data cluttered to get a reliable set of radar observations. The results demonstrated that the estimated target position is close to an exogenous ground truth obtained from a Visual Inertial Odometry (VIO) algorithm executed onboard the target UAV. Moreover, the developed system's architecture is prepared to be scalable, allowing the addition of other observation stations. It will increase the accuracy of the estimation and extend the actuation area. To the best of our knowledge, this is the first work that uses a mmWave radar combined with a camera and a machine learning algorithm to track a UAV in an outdoor scenario.

关键词： visualization Target tracking radar clutter Airborne radar data integration radar imaging Vision sensors radar tracking Autonomous aerial vehicles Millimeter wave communication

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Vital Sign Sensing in Motion based on Millimeter Wave radar 24

Vital Sign Sensing in Motion based on Millimeter Wave Radar

引用

4th International Joint conference on Robotics and Artificial Intelligence, JCRAI 2024

作者： Chen, Wei Gong, Pengcheng Zeng, Li Wu, Yuntao Wuhan Institute of Technology Wuhan China

ISBN: (纸本)9798400710100

Non-contact monitoring technology can provide continuous vital sign data and help to detect the changes of physiological state in time, which is of great significance for early diagnosis and health management of diseases. For decades, however, the focus of the study was on stationary objects, as body motion clutter can easily overwhelm the subtle reflection of vital signs. This paper combines the direct RF sensing of a static example with the respiratory and heartbeat signal detection based on motion power estimation. We designed a custom deep learning model to capture the complex correlations between RF signal patterns, movement power, and vital signs. We further designed a real-time calibration and adaptive training scheme to achieve cross-topic generalization. Finally, we use FMCW radar sensor to evaluate the framework. The experimental results show that our method achieves an average HR error estimate of 4.99 bpm and 6.95 bpm on two different datasets, respectively, which is largely superior to the most advanced systems. © 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： Deep learning

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Review on the Real-Time Mapping of Autonomous Vehicles: Technologies and Challenges

Review on the Real-Time Mapping of Autonomous Vehicles: Tech...

引用

Visual Analytics and data visualization (ICVADV), International conference on

作者： C Paveithra U Jaivasanthan K Kirubasankar Department of Electronics and Communication Engineering Chennai Institute of Technology Chennai Tamil Nadu India

ISBN: (数字)9798331521394

ISBN: (纸本)9798331521400

Autonomous vehicles rely on real-time mapping systems to ensure effective navigation, avoid obstacles, and plan their paths accurately. This paper attempts a detailed review of the technologies, and challenges involved in real-time mapping for AVs. The core technologies comprise Lidar, radar, cameras, GNSS, and IMU as made use of in aggregate to build high-definition maps of the environment. Techniques such as SLAM and high-definition mapping can update the map continuously when deployed over dynamic environments. It is precisely this capability that qualifies AVs as appropriately responsive to reality changes. Yet, such is an extremely challenging task that falls within the broad scope of latent issues, resource utilization through computation, adaptability, and sensor reliability, then discussed several promising future directions for improving the real-time mapping capabilities of AVs, namely, edge computing and vehicle to everything (V2X) communication. These can bring a great advantage to improving the performance of AVs by processing vast quantities of real-time data extremely quickly.

关键词： Simultaneous localization and mapping Laser radar Reviews Navigation Visual analytics Real-time systems Vehicle dynamics Autonomous vehicles Vehicle-to-everything Edge computing

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Design and Implementation of an IoT-Enabled ECG sensor System for Real-Time Cardiac Monitoring

Design and Implementation of an IoT-Enabled ECG Sensor Syste...

引用

International conference on Computational Intelligence and Smart Technologies in Electrical Engineering, CISTEE 2023

作者： Singh, Bhavya Sharma, Puneet Verma, Deepak Department of Electronics and Communication Engineering Birla Institute of Technology Mesra Jaipur Campus Jaipur302017 India Department of Electrical and Electronics Engineering Birla Institute of Technology Mesra Jaipur Campus Jaipur302017 India

ISBN: (纸本)9789819799152

This paper introduces an ECG sensor system that is IoT-enabled, integrated with the NodeMCU microcontroller for real-time cardiac monitoring. Leveraging the NodeMCU ADC, the system captures and converts ECG data from the non-invasive electrodes into the digital values, which are transmitted to the Thingspeak IoT platform and securely stores in the SQL database for continuous monitoring and analysis. Real-time data retrieval empowers healthcare professionals with up-to-date insights, facilitating timely interventions and personalized treatment plans. The paper emphasizes the significance of NodeMCU, Thingspeak, MATLAB, and Python in achieving real-time monitoring and data analysis. Results that we obtain showcases the ECG waveform, and the integration of IoT technologies enhances analytical potential, facilitated by long-term storage and visualization. Arrhythmia and various cardiovascular diseases can be detected using various algorithms through the analysis of stored waveforms and this is the critical capability of system. The envisioned future scope involves a comprehensive dashboard that displays the detected diseases, providing healthcare professionals with a prior analysis for faster treatments. Moreover, the paper discusses how the ECG sensor system can predict the impending cardiac events by sending timely notifications to patients and caregivers, enabling preparation and necessary precautions. An integrated application provides guidance until medical help arrives, ensuring patient safety during the journey to the hospital which might prolong the survival chances. Simultaneously, doctors receive pre-notifications of patient history and data, expediting the treatment process. In conclusion, this research contributes to reshaping medical monitoring, offering potential revolutions in patient care. The integration of IoT technologies for detecting and analyzing cardiovascular diseases presents an opportunity to improve outcomes, foster collaborations, and create

关键词： Electrocardiography

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Simulation of Health Monitoring and Tracking System for Vessels Using LabVIEW & Proteus

Simulation of Health Monitoring and Tracking System for Vess...

引用

Visual Analytics and data visualization (ICVADV), International conference on

作者： R. Mythili Revathi D Naveen R Santhosh M Manikandan R Vigneshwaran P Department of Electrical and Electronics Engineering KIT-KalaignarKarunanidhi Institute of Technology Coimbatore

ISBN: (数字)9798331521394

ISBN: (纸本)9798331521400

Ensuring safety and efficiency in maritime operations is a key concern in the shipping industry. Vessel Monitoring System aimed at improving maritime safety and operational efficiency. The system ensures the health of onboard workers by monitoring their heartbeat and body temperature. It uses an accelerometer to detect unusual ship movements and a radar system for obstacle detection during navigation. GPS provides real-time location tracking for precise navigation, while LoRa technology ensure efficient, long-range data transmission. The system generates alerts in emergencies, supporting timely decisions and addressing the challenges of modern maritime operations.

关键词： Tracking Navigation LoRa radar detection radar radar tracking Real-time systems Safety Monitoring Global Positioning System

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Positioning Algorithm of Cold Source Underwater Pollution Inspection Robot Based on Multi-sensor Fusion

Positioning Algorithm of Cold Source Underwater Pollution In...

引用

2025 International conference on Multi-Agent Systems for Collaborative Intelligence, ICMSCI 2025

作者： Jian, Jiale Yang, Jia Zhang, Yu Jian, Yinfan China Nuclear Power Engineering Co. Ltd. Beijing100044 China Hainan Nuclear Power Co. Ltd. Hainan Province 572733 China Shanghai Jingyi Intelligent Control Technology Co. Ltd. Shanghai210000 China

ISBN: (纸本)9798331509828

With the rapid development of robotic systems, their application areas have expanded from traditional land to underwater, and have achieved better application range. In order to expand the application scenarios, this study proposes a cold source underwater pollution detection robot positioning algorithm based on multi-sensor fusion. The algorithm aims to solve the shortcomings of existing robots in sensor fusion and positioning accuracy, and provide a reasonable path. First, this study designed a mathematical model of the six-degree-of-freedom motion of the underwater robot based on mathematical modeling. In the optimization part, the fourth-order Runge-Kutta method was used to achieve a stable solution, and it was extended to robot control, and the PID algorithm was used to optimize the motion control framework. Subsequently, the designed model improves the accuracy of robot path planning and ground point cloud removal by introducing a 3D point cloud to 2D grid conversion algorithm, thereby achieving stable positioning. Then, the model proposes a multi-sensor fusion algorithm for underwater acoustic channels, combining multiple sensor data to effectively address the challenges of signal multi-path effects and interference. The experiment is carried out in a simulated underwater environment. The test results showed that the proposed algorithm performed well in terms of positioning accuracy and operation stability. At the same time, a visualization simulation of underwater robot path was carried out to prove the universality of the proposed framework. © 2025 IEEE.

关键词： Runge Kutta methods

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Vehicle-Mounted Millimeter-Wave radar Vital Signs Detection and Early Warning Control System 3

Vehicle-Mounted Millimeter-Wave Radar Vital Signs Detection ...

引用

3rd International conference on Integrated Circuits and Communication Systems, ICICACS 2025

作者： Li, Wenshan Hunan Institute of Traffic Engineering Hunan Hengyang China

ISBN: (纸本)9798331508456

Traditional methods of monitoring vital signs in vehicles often fall short when it comes to response time, especially in fast-moving situations. To tackle this, our paper introduces a groundbreaking solution: leveraging millimeter-wave radar technology to monitor vital signs in real time within the vehicle, providing timely alerts when necessary. This approach not only enhances the accuracy of readings but also ensures a swift response that is crucial during vehicle operation. By tapping into the unique abilities of millimeter-wave radar to detect subtle human signs, we propose a novel method that processes radar signals to monitor vital signs like heart rate and respiratory rate. This technique is highly effective in meeting the stringent demands of real-time accuracy and speed, especially while driving. Our system includes three main components: radar sensors, a signal processing unit, and an early-warning control module, working together seamlessly to ensure optimal monitoring. The radar sensor continuously transmits and receives millimeter-wave signals, allowing it to track vital signs without interruption. A specially designed feature extraction algorithm filters out noise and extracts critical information, including heart and respiratory rates. Then, advanced algorithms analyze this data in real time, spotting any abnormalities and triggering alerts through the control module. What sets this system apart is its rigorous testing under various vehicle speeds and environmental conditions, confirming its stability, reliability, and fast response times. In real-world applications, the system responds to a high heart rate in 3.7 to 4.0 seconds and to a rapid breathing rate in 4.1 to 4.3 seconds. This millimeter-wave radar-based system offers a fresh approach to vehicle safety, combining practicality with promising future potential. © 2025 IEEE.

关键词： Electronic guidance systems

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An Innovative Research on Intelligent Nursing Medicine Delivery Trolley

An Innovative Research on Intelligent Nursing Medicine Deliv...

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sensors and Information technology (ICSI), International conference on

作者： Yuling Zhong Haiming Xu Rui Yao Guangdong Polytechnic of Industry and Commerce Guangzhou China Guangdong Finance & Trade Vocational college Guangzhou China South China Normal University Guangzhou China

ISBN: (数字)9798331542887

ISBN: (纸本)9798331542894

With the continuous advancement of medical technology and the increasing aging population, the demand for efficient and accurate medicine delivery systems is growing. The development of intelligent delivery trolley technology presents a new opportunity to address these challenges. The trolley in this study utilizes an MPU150 inertial sensor to control the movement direction and speed, a SICK CLV60X series barcode scanner for tracking, and the Maishi OMARA medicine nursing system to detect environmental conditions within the trolley. It also supports 24/7 real-time monitoring, records temperature and humidity data, and automatically triggers alarms when these values exceed predefined limits. An LDS-03TDOF laser radar module is used for obstacle avoidance, ensuring safety for both the trolley and its cargo. The OpenMV vision module is incorporated to assist with visual monitoring. By integrating these technologies, this system enables dynamic medicine management in real time.

关键词： Temperature sensors visualization Temperature distribution Laser radar Tracking Medical services radar tracking Real-time systems Safety Monitoring

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