Compression of GNSS Data with the Aim of Speeding up Communication to Autonomous Vehicles

Amnon Rakhmanov, Yair Wiseman

Research output: Contribution to journalArticlepeer-review


Autonomous vehicles contain many sensors, enabling them to drive by themselves. Autonomous vehicles need to communicate with other vehicles (V2V) wirelessly and with infrastructures (V2I) like satellites with diverse connections as well, to implement safety, reliability, and efficiency. Information transfer from remote communication appliances is a critical task and should be accomplished quickly, in real time and with maximum reliability. A message that arrives late, arrives with errors, or does not arrive at all can create an unsafe situation. This study aims at employing data compression to efficiently transmit GNSS information to an autonomous vehicle or other infrastructure such as a satellite with maximum accuracy and efficiency. We developed a method for compressing NMEA data. Furthermore, our results were better than other ones in current studies, while supporting error tolerance and data omission.

Original languageEnglish
Article number2165
JournalRemote Sensing
Issue number8
StatePublished - Apr 2023
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2023 by the authors.


  • GNSS
  • autonomous vehicles
  • data compression


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