This repository shares some simultaneous localization and mapping (SLAM) datasets and detection datasets for railroad application.  In the first stage, we decide to realease some LiDAR, visual, IMU sequence for freight-traffic railways. The ground truth cannot be provided due to safety regulations. Please infer https://github.com/YushengWHU/Railroad-dataset  for detailed information.

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We collect IMU measurements under three different patterns: Fixing a smartphone in front of his chest (chest), swing a smartphone while holding it in his hand (swing), and putting a smartphone in his pocket (pocket). We use Google Pixel 3XL for the pattern of chest and Google Pixel 3a for the patterns of swing and pocket. The sampling frequency of each measurement is fixed to 15Hz. We collect the measurement of 111 paths in total, categorized into 4 types. We partition them into 84 and 27 paths, used for training and testing, respectively. It takes 10 hours to collect all datasets.

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The C3I Thermal Automotive Dataset provides > 35,000 distinct frames along with annotated thermal frames for the development of smart thermal perception system/ object detection system that will enable the automotive industry and researchers to develop safer and more efficient ADAS and self-driving car systems. The overall dataset is acquired, processed, and open-sourced in challenging weather and environmental scenarios. The dataset is recorded from a lost-cost yet effective 640x480 uncooled LWIR thermal camera.

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Ground Truth of angle determination of DoA positioning

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A novel coarse alignment algorithm based on vector observation and truncated vectorized κ-matrix is proposed. These data is used to test the performance of the proposed alignment method.

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The measurement and diagnosis of the severity of failures in rotating machines allow the execution of predictive maintenance actions on equipment. These actions make it possible to monitor the operating parameters of the machine and to perform the prediction of failures, thus avoiding production losses, severe damage to the equipment, and safeguarding the integrity of the equipment operators. This paper describes the construction of a dataset composed of vibration signals of a rotating machine.

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Raw data of the sampled signals by our spectrometer and commercial OSA with the incident spectra plotted in Fig. 8.

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These datasets report data of 64 Force Sensing Resistors at multiple voltages. It was foun that the input voltage can be used to trim sensors' sensitivity and ultimately to reduce dispersion. The DMAIC cycle was used to reduce process variability on the basis of the Six Sigma Methodology. The zip folder contains:

1) a Matlab file for loading the data

2) four .txt files with the experimental data of Force Sensing resistors

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This dataset includes highway driving scenes in Daejeon, South Korea.

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This dataset contains the collection of temperature, humidity, heat index, thermal discomfort index and temperature and humidity index of five indoor environments in São Paulo, Brazil. Data were collected using the ESP32 microcontroller and the DHT11 temperature and humidity sensor.

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