Outdoor Visible Light Positioning Using Artificial Neural Networks for Autonomous Vehicle Application

Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion CynhadleddCyfraniad i Gynhadleddadolygiad gan gymheiriaid

Fersiynau electronig

Dangosydd eitem ddigidol (DOI)

  • Abdulrahman Mahmoud
  • Zahir Ahmad
  • Yousef Almadani
  • Muhammad Ijaz
  • Olivier Haas
  • Sujan Rajbhandari
    Huawei Technologies Sweden AB
In this paper, a novel outdoor 2-D vehicular visible light positioning (VLP) using a linear array of streetlights and artificial neural network (ANN) is proposed. The classical position methods which are mostly based on triangulation will not work with the linear array of the street light. Hence, we proposed a spatial diversity receiver with ANN to overcome the collinearity condition. The proposed system is simulated for a realistic outdoor condition and provides an accurate positioning with an average RMS error of 0.53m.

Allweddeiriau

Iaith wreiddiolSaesneg
Teitl2020 12th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP)
Man cyhoeddiUnited States
CyhoeddwrIEEE
Tudalennau1-4
Nifer y tudalennau4
ISBN (Argraffiad)9781728160511
Dynodwyr Gwrthrych Digidol (DOIs)
StatwsCyhoeddwyd - 10 Tach 2020
Cyhoeddwyd yn allanolIe
Gweld graff cysylltiadau