Sensors
RLED contains 80,400 images and corresponding events, we utilized a photometer to continuously measure scene illumination and calculate the illumination value after attenuation at the event camera. The capture scenes included city (35.0%), suburbs (10.3%), town (14.5%), village (17.8%), and valley (22.4%). Half of the RLED frames are captured at a frame rate of 25 fps, and the other half at 10 fps. The exposure time is set to 1ms, 3ms, and 5ms based on the varying environmental illumination.
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Ground Penetrating Radar (GPR) facilitates the detection and localisation of subsurface structural anomalies in critical transport infrastructure (e.g. tunnels), better informing targeted maintenance strategies. However, conventional fixed-directional systems suffer from limited coverage - especially of less-accessible structural aspects (e.g. crowns) - alongside unclear visual output of anomaly spatial profiles, both for physical and simulated datasets.
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I would introduce the data we uploaded as follows: These data are the experimental fringe images taken by the experimental platform we built. These phase-shifting fringe images are divided into the fringe images required for calibration and the fringe images for measuring the target to be measured. The required images for calibration are the fringe images taken at different heights (different heights are: 15mm, 25mm, 30mm and 40mm).
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327 Views
We present a comprehensive multi-sensor dataset comprising 4D mmWave radar point clouds, lidar point clouds, and camera images in the open-pit mine. The dataset encompasses various operational scenarios, including the dumping site, loading site, connecting roads, and haulage maintenance area, under various lighting conditions such as cloudy, dark, daylight, and overcast skies.
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These are the 16-step phase-shift fringe images and five gray code fringe images that we collected and applied to the experiment. To facilitate the comparison experiments, we also supplement the average intensity images.
In order to better compare the experimental results, we collected the images of no target, horizontal discontinuous target and continuous target respectively, so that the results can better reflect all kinds of situations, so as to make the results more extensive and illustrative.
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242 Views
Ultra-wideband radar (UWB) is capable of perceiving the surroundings irrespective of the visibility due to its broad frequency spectrum. Therefore, UWB technology can be employed in mobile robots to perform simultaneous localization and mapping (SLAM) in vision-denied environments (e.g. smoke, fog, walls with reflective surfaces). We chose four different environments to teleoperate a TurtleBot2 nonholonomic robot equipped with Novelda X4M300 monostatic radar modules and RPLIDAR-A2 laser range scanner(s).
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138 Views
Supplementary video for the article "A Programmable CMOS DEP Chip for Cell Manipulation"
This video demonstrates the use of a CMOS DEP chip for particle manipulation, including particle patterning, concentration control, and single particle manipulation, all performed on the same chip and sample.
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430 Views
Measurement campaign was performed across the entire growing season of 2023. Seven Arduino+LoRaWAN sensors were measuring soil moisture, temperature and pH, as well as solar irradiance in the radius of about 35 km around Gdansk, Poland. Raw data were being collected with a nomadic gateway aboard an UAV and transferred to the cloud for analysis (package part A). Based on the physics informed analysis of the underlying measurement processes anomalies were classified and parametrized.
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In our work, we propose an innovative system to accurately infer and track occluded target locations using mmWave beat frequency signals. Our approach combines a classic direction-finding method with advanced deep learning techniques, specifically a convolutional neural network (CNN), to enhance detection capabilities. The dataset includes raw beat frequency signal data from the TI IWR6843ISK rev B with TI mmWAVEICBOOST and the TI DCA1000EVM capture board. Corresponding ground truth data (target position) from the Realsense L515 RGB-D camera is also provided.
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397 Views
This data set contains the refractive index and reflectivity, emission intensity, and absorption length data for various materials utilitised in a SiPM-based Geant4 simulation platform. This simulation platform consists of the scintillation detector SiPM-3000 from Bridgeport Instruments, which contains a scintillator optically bonded to a silicon photomultiplier (SiPM) array within the detector housing. Scintillator crystals included in this study consist of GAGG:Ce, CLLBC:Ce, BGO, NaI:Tl, and CsI:Tl.
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317 Views