Skip to main content

Cisco & Verizon push AVs to the edge

Tech firms say Las Vegas test on AV driving is 'huge milestone' in connectivity
By Adam Hill April 7, 2022 Read time: 2 mins
Cellular and MEC technology can enable autonomous driving solutions without RSUs, firms say (© Andrii Chagovets | Dreamstime.com)

Cisco and Verizon have carried out a proof-of-concept demo in Las Vegas on autonomous vehicles.

The companies say it shows that cellular and mobile edge compute (MEC) technology can enable autonomous driving solutions without the use of roadside units (RSUs) to extend radio signals.

The test proved that Verizon’s LTE network and public 5G Edge with AWS Wavelength, together with Cisco Catalyst IR1101 routers in connected infrastructure, can meet the latency thresholds required for autonomous driving applications, they explained.

This would make it easier to power autonomous/unmanned last-mile delivery bots and robotaxis in cities like Las Vegas, where public MEC technologies exist.

“This test is a huge milestone in proving that the future of connectivity for IoT applications can be powered by cellular,” said Krishna Iyer, director of systems architecture for Verizon.

"We’re marking the strength of mobile edge compute platforms for connected transportation innovation with much more streamlined architecture."

It also means cities and roadway operators could create safer roads with C-V2X applications including pedestrian protection, emergency and transit vehicle pre-emption, on and off-ramp protection, "and potentially others that involve vehicles approaching intersections with traffic signals", the firms said in a statement.

They believe it opens the possibility of safer, less congested roads in current connected and autonomous vehicles, with scalability for future applications hosted at the edge and using LTE and 5G connectivity.

“The future of autonomous vehicles cannot progress without reliable communication between vehicles and their surrounding environments,” said Mark Knellinger, Cisco's lead transportation solutions architect.

“This is huge for roadway operators in that it relieves them of the massive expense of deploying and operating a dedicated V2X environment."

For more information on companies in this article

Related Content

  • Kapsch announces distribution of 100 millionth OBU
    October 12, 2016
    ITS specialist Kapsch has used this week’s ITS World Congress in Melbourne to announce a major milestone: the distribution of 100 million of its on-board-units (OBUs). It held a celebratory function hosted by company CEO Georg Kapsch on Tuesday at its stand to mark this achievement, which it passed in January this year.
  • USDOT announces next generation CV funding
    September 15, 2015
    US Transportation Secretary Anthony Foxx has revealed that New York City, Wyoming, and Tampa will receive up to US$42 million to pilot next-generation technology in infrastructure and in vehicles to share and communicate anonymous information with each other and their surroundings in real time, reducing congestion and greenhouse gas emissions and cutting the unimpaired vehicle crash rate by 80 per cent. As part of the Department of Transportation (USDOT) national connected vehicle pilot deployment progra
  • Data revolution in real time travel information
    February 3, 2012
    Damian Black, CEO and founder of SQLstream Inc, writes about relational stream processing for real-time intelligent transport systems Almost unnoticed there is a revolution going on in Internet data which is different from anything seen before. It is taking place in sensor data, which research organisation Gartner predicts in 2012 will exceed 20 per cent of all non-video Internet traffic.
  • Daimler’s double take sees machine vision move in-vehicle
    December 13, 2013
    Jason Barnes looks at Daimler’s Intelligent Drive programme to consider how machine vision has advanced the state of the art of vision-based in-vehicle systems. Traditionally, radar was the in-vehicle Driver Assistance System (DAS) technology of choice, particularly for applications such as adaptive cruise control and pre-crash warning generation. Although vision-based technology has made greater inroads more recently, it is not a case of ‘one sensor wins’. Radar and vision are complementary and redundancy