indoor Localization

This dataset includes UWB range measurements performed with Pozyx devices. The measurements were collected between two tags placed at several distances and in two different conditions: with Line of Sight (LOS) and Non-Line of Sight (NLOS). The measurements include the range estimated by the Pozyx tag, the actual distance between devices, the timestamp of each measurement and the values corresponding to the samples of the Channel Impulse Response (CIR) after each transmission.

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  • Digital signal processing
  • Last Updated On: 
    Mon, 02/10/2020 - 05:36

    We introduce a new robotic RGBD dataset with difficult luminosity conditions: ONERA.ROOM. It comprises RGB-D data (as pairs of images) and corresponding annotations in PASCAL VOC format (xml files)

    It aims at People detection, in (mostly) indoor and outdoor environments. People in the field of view can be standing, but also lying on the ground as after a fall.

    63 views
  • Computer Vision
  • Last Updated On: 
    Thu, 10/24/2019 - 08:32

    7200 .csv files, each containing a 10 kHz recording of a 1 ms lasting 100 hz sound, recorded centimeterwise in a 20 cm x 60 cm locating range on a table. 3600 files (3 at each of the 1200 different positions) are without an obstacle between the loudspeaker and the microphone, 3600 RIR recordings are affected by the changes of the object (a book). The OOLA is initially trained offline in batch mode by the first instance of the RIR recordings without the book. Then it learns online in an incremental mode how the RIR changes by the book.

    188 views
  • Artificial Intelligence
  • Last Updated On: 
    Mon, 11/04/2019 - 07:37

    This RSSI Dataset is a comprehensive set of Received Signal Strength Indicator (RSSI) readings gathered from within three different types of scenarios. Three wireless technologies were used which consisted of:

    • WiFi (IEEE 802.11n 2.4GHz band)
    • Bluetooth Low Energy (BLE) and
    • Zigbee (IEEE 802.15.4)

    For the experimentation, the equipment utilized consisted of Raspberry Pi 3 Model Bs, Gimbal Series 10 Beacons, and Series 2 Xbees with Arduino Uno microcontrollers.

    223 views
  • Communications
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34

    The system obtained interference information from the measurement signal, solved the problem of phase wrapping, and got the accurate coordinates of target. The tags and tag-free items including shrimp chips, cola and instant noodles were taken as target respectively in experiment.

    205 views
  • Communications
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34