Indoor multi-person tracking is a widely explored area of research. However, publicly available datasets are either oversimplified or provide only visual data. To fill this gap, our paper presents the RAV4D dataset, a...
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radar observation of group targets has recently received much attention in the flight mechanism research and many other applications. Group targets are usually closely spaced with lots of missed detections and false a...
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This work presents the use of frequency-modulated continuous wave (FMCW) radartechnology combined with a machine learning (ML) model to differentiate between Normal and Abnormal Breath Rates (BR). The recommended sys...
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Autonomous driving technology relies heavily on sensordata for environment perception. Heterogeneous sensors such as lidar, radar, and camera have their own strengths and limitations. Therefore, relying on any single...
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The purpose of the present study is to develop a Slope Movement and Saturation data Management System with datavisualization. The design project was developed by making use of an integrated microcontroller technology...
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Millimeter-wave radar, with its high frequency and short wavelength, is increasingly becoming a critical sensor in autonomous driving systems, where precise external calibration with lidar is essential for efficient s...
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radar-based human sensing has emerged as a promising solution for non-contact human-computer intelligent interaction. Current existing works typically preset a set of actions and use deep learning algorithms to extrac...
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Tracking interpersonal distances is essential for real-time social distancing management and ex-post contact tracing to prevent spreads of contagious diseases. Bluetooth neighbor discovery has been employed for such p...
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ISBN:
(纸本)9798400701184
Tracking interpersonal distances is essential for real-time social distancing management and ex-post contact tracing to prevent spreads of contagious diseases. Bluetooth neighbor discovery has been employed for such purposes in combating COVID-19, but does not provide satisfactory spatiotemporal resolutions. This paper presents ImmTrack, a system that uses a millimeter wave radar and exploits the inertial measurement data from user-carried smartphones or wearables to track interpersonal distances. By matching the movement traces reconstructed from the radar and inertial data, the pseudo identities of the inertial data can be transferred to the radar sensing results in the global coordinate system. The re-identified, radar-sensed movement trajectories are then used to track interpersonal distances. In a broader sense, ImmTrack is the first system that fuses data from millimeter wave radar and inertial measurement units for simultaneous user tracking and re-identification. Evaluation with up to 27 people in various indoor/outdoor environments shows ImmTrack's decimeters-seconds spatiotemporal accuracy in contact tracing, which is similar to that of the privacy-intrusive camera surveillance and significantly outperforms the Bluetooth neighbor discovery approach.
This paper proposes a data align pipeline for LGPR (Localization Ground Penetrating radar). LGPR achieves robot localization by matching prior underground data map, therefore high-precision maps are essential. Utilizi...
This paper reviews the current development and future trends of autonomous driving technology in recent years. In particular, the article focuses on three mainstream algorithms in the field of autonomous driving: math...
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