Sensors
A pothole dataset collected by iPhone 14 pro. Due to the lack of publicly available small-scale pothole point cloud datasets, a custom dataset was created for model performance evaluation. The data collection area is located within the Yujiaotou campus of Wuhan University of Technology and the surrounding road network in Wuhan, China. For data acquisition, an iPhone 14 Pro equipped with a LiDAR scanner was used.
- Categories:
42 Views
This dataset comprises a collection of CSV files containing paired time-series measurements essential for nonlinear compensation research in electrochemical seismometers (MET). Each CSV file, named according to specific magnitude-frequency combinations (magX_freqY.csv), contains two columns: 'origin' representing the original system response and 'target' representing the desired compensated output.
- Categories:
17 Views
This study presents a deep learning-based framework for detecting vehicle deceleration patterns using Ultra-Wideband (UWB) Channel Impulse Response (CIR) analysis. Unlike traditional GPS or IMU-based systems, which struggle in GPS-denied environments such as tunnels, the proposed method leverages UWB CIR signal variations to classify two key driving behaviors: rapid deceleration and gradual deceleration. All data were collected from real-world experiments using UWB devices installed on actual vehicles at a professional highway testing site.
- Categories:
6 Views
- Categories:
83 Views
Ultra Wideband (UWB) signals offer high spatio-temporal resolution, penetrability, and low cost, which facilitates accurate characterization of limb features through micro-Doppler (mD) analysis, even with micro random body movements, during the wireless contactless sensing. Due to challenges introduced by arm motions, which may be perpendicular to the radar, we introduce a dual radar arm motion recognition system with light-weighted feature extraction and appropriate data fusion.
- Categories:
18 Views
Ultra Wideband (UWB) signals offer high spatio-temporal resolution, penetrability, and low cost, which facilitates accurate characterization of limb features through micro-Doppler (mD) analysis, even with micro random body movements, during the wireless contactless sensing. Due to challenges introduced by arm motions, which may be perpendicular to the radar, we introduce a dual radar arm motion recognition system with light-weighted feature extraction and appropriate data fusion.
- Categories:
3 Views
To support research on multimodal speech emotion recognition (SER), we developed a dual-channel emotional speech database featuring synchronized recordings of bone-conducted (BC) and air-conducted (AC) speech. The recordings were conducted in a professionally treated anechoic chamber with 100 gender-balanced volunteers. AC speech was captured via a digital microphone on the left channel, while BC speech was recorded from an in-ear BC microphone on the right channel, both at a 44.1 kHz sampling rate to ensure high-fidelity audio.
- Categories:
61 Views
Satellite attitude determination is critical for accurately measuring and controlling a satellite’s orientation in orbit using a variety of sensors and methods. Currently, low-low Satellite-to-Satellite Tracking (ll-SST) missions—such as GRACE(-FO)—and upcoming missions like Magic primarily rely on quaternion data from onboard star camera sensors. To enhance attitude determination, we propose a GSCF fusion method.
- Categories:
7 Views
Spray-cooled shells of electric arc furnaces (EAF) experience dynamic and intense thermal fluctuations that, if undetected, can lead to significant operational challenges, including structural damage and compromised safety. In this study, we demonstrate the use of fiber optic sensors (FOS) for real-time, distributed thermal monitoring of an EAF shell wall.
- Categories:
14 Views
In recent years, with the rapid development of Internet of Things technology, the application and popularization of intelligent sports equipment in residents’ lives have become extensive. As a sport suitable for all ages, badminton is deeply loved by the masses. This paper designs a smart badminton racket to help students improve their badminton skills by providing real-time training data and three-dimensional posture information.
- Categories:
20 Views