Skip to main content

Marben showcases V2X software for autonomous vehicles

Marben returns for its fourth participation at the ITS World Congress with an innovative demonstration of its full featured Marben V2X software solution for autonomous vehicles. In partnership with Navya, an innovative self-driving and electric vehicle supplier, and Autotalks, a leading supplier of automotive-grade V2X RF transceivers and communication processors, Marben will showcase how the communication of vehicles and traffic lights can significantly improve and secure driverless vehicles that operate o
October 7, 2015 Read time: 2 mins
Michel Perin of Marben with an autonomous vehicle

7872 Marben returns for its fourth participation at the ITS World Congress with an innovative demonstration of its full featured Marben V2X software solution for autonomous vehicles.

In partnership with Navya, an innovative self-driving and electric vehicle supplier, and Autotalks, a leading supplier of automotive-grade V2X RF transceivers and communication processors, Marben will showcase how the communication of vehicles and traffic lights can significantly improve and secure driverless vehicles that operate on open roads. The demonstration will take place outdoors.

 Three brand new Navya vehicles are autonomously transporting delegates from the exhibition centre to the congress centre over a 1.5km distance. Marben V2X software together with Autotalks V2X hardware devices allows the Navya vehicle to get the signal phase broadcasted by the six traffic lights spread over the route thus securing the crossing of the intersection.

Marben V2X is a complete software solution supporting both the US (SAE/IEEE standards) and the European (ETSI standards) V2X profiles. It has been designed to satisfy V2X demanding performance, reliability and robustness requirements. Marben V2X is hardware agnostic (CPUs, 802.11p chipsets, Hardware Security Modules) and can run on most of the available operating systems including Linux, QNX, ThreadX or Android.

By embedding security and privacy management, offering user-friendly APIs and a predefined set of road safety and traffic optimisation applications, the software dramatically accelerates the development and the integration of V2X onboard and roadside units as was proved by the quick integration with Autotalks' chipset.

As Michel Perin, Marben Sales & Marketing Director, points out “Marben V2X next-generation software will include a fusion of data collected from V2X communication and from in-vehicle sensors such as video cameras, radars or lidars. Our objective is to provide more and more accurate information for a fully automated driving experience and an optimal traffic flow.”

Related Content

  • Entering the ANPR sector with Plate-i Dome
    April 11, 2024
    Carrida's product is an 'entry-price' camera with a large detection range of 16m
  • 5G or not 5G?
    April 16, 2019
    Just a few years ago, there was only one solution in terms of communications protocols for delivering vehicle connectivity. Now, road operators and vehicle manufacturers face choices – including a moral choice, perhaps. Jason Barnes looks at the current state of play There is a debate raging in the ITS world over future communications protocols. Asfinag, Austria’s national strategic road operator, has announced it will from 2020 be using ITS-G5 to support cooperative ITS (C-ITS) applications (‘First thin
  • Commsignia applies V2X to cyclist safety 
    February 21, 2022
    Spoke says partnership will offer an algorithm that puts VRUs on the map
  • Ford targets fully autonomous vehicle in 2021
    August 17, 2016
    Ford has announced its intention to have a high-volume, fully autonomous vehicle in commercial operation in 2021. The new vehicle will be a Society of Automotive Engineers-rated level 4-capable vehicle without a steering wheel or gas and brake pedals. It is being specifically designed for commercial mobility services, such as ride sharing and ride hailing, and will be available in high volumes. SAE level 4 is one level below full automation and is defined as ‘mode-specific performance by an automated