Autonomous driving software specialist Zenuity will team up with the European Organization for Nuclear Research to develop autonomous vehicles that can make predictions and decisions faster to help improve safety, the supplier said in a release.
The development is crucial to Zenuity as its long-term goal is to help automakers create AVs that have zero collisions and cause no injuries and fatalities.
The safety of AVs has been questioned following a non-fatal accident last month in Vienna, Austria, involving a driverless bus and a pedestrian, and a fatal crash in 2018 in which an Uber Technologies self-driving test vehicle killed a pedestrian in Arizona.
When asked whether those accidents were a wake-up call for Zenuity, CEO Dennis Nobelius said the supplier doesn't need to be reminded about the importance of safety.
"Safety is in our bones. That's how we operate," Novelius told Automotive News Europe, adding that whenever an AV is involved in an accident it is a reminder of how high the stakes are in this sector. "It's imperative for the entire industry to be very cautious."
Zenuity, which is a joint venture between Volvo Cars and Veoneer, knows that a major challenge for AVs is giving them the power to accurately interpret the huge quantity of data generated by the vehicle’s cameras, lidar and radar during normal driving conditions. Scientists at CERN face a similar challenge because when the center’s Large Hadron Collider smashes sub-atomic particles it generates a huge amount of data to assess.
"CERN wants to analyze their particle collisions in real time and we want to analyze our data coming from cameras, lidars and radar in real time," Zenuity Deep Learning Engineer Christoffer Petersson told ANE.
To address this challenge CERN uses so-called Field-Programmable Gate Arrays, a hardware solution that executes complex decision-taking algorithms in microseconds.
FPGAs will now be used in connection with autonomous driving.