rFpro demonstrates large teams of test drivers sharing the same virtual world as your autonomous vehicles, in simulation.
There has been lots of bad press for AI companies testing their autonomous vehicles, too early, on public roads, causing the deaths of drivers and other road users. Yet AI benefits enormously from testing with real human road users. Billions of dollars have been invested in autonomous vehicles and without a safe means to test AI, in challenging real world situations, these projects face delays and uncertainty.
rFpro has successfully demonstrated a solution to this problem, allowing up to fifty human test drivers to share the same virtual world, in simulation, as your autonomous vehicles under test.
By using the latest VR headsets, large teams of test drivers may cost effectively join your simulations. rFpro experiments and tests can span multiple simulators. This means that a team of human test drivers can join an AV or ADAS simulation – a proven way to detect CAV (connected autonomous vehicle) failure modes. Humans are random and unpredictable and therefore valuable for both training and testing ADAS and AV systems.
Crucially, rFpro allows humans to join experiments without risk of injury or death.
Up to 50 simulations may participate in, and simultaneously share, the same virtual world. Your AI can be pushed to the limit, sharing roads packed with real human drivers, in a completely safe environment. Simulating the real world, today, with human drivers sharing the virtual world with your AVs allows you to test years before your AVs actually meet humans in the real world.
For example, the following video, where some of the traffic on the highway is human, shows an AV trying to merge onto a highway. It demonstrates how important it is to disguise your AVs to look exactly the same as conventional vehicles. Human drivers quickly learn that when a vehicle trying to merge is an AV you can just ignore it because it’s not going to risk forcing its way into your lane.
Learning this in simulation costs a fraction of a percent of the cost of building, maintaining and managing a fleet of real test vehicles. Simulation allows you to learn more, sooner and, critically, allows you to push your AI hard in complex scenarios where there is a risk to human road users.