Saving Cost, Risk and Time Delays
Several studies have estimated the number of kilometres that must be driven to prove the safety of an autonomous vehicle. The estimates vary as to how many billions of kilometres must be driven, but what is consistent is that the number of km’s testing required is simply too great, too slow and too expensive if it is completed on roads. rFpro can test, and prove safety, quicker and more effectively. Thousand-year ‘5-sigma’ events can be tested every second, and simulation will form part of the regulatory framework for AVs.
When you are ready to start testing with a real human driver, A driving simulator or engineering workstation using rFpro’s simulation software allows you to conduct testing and calibration with your professional test drivers and engineers without the delays and cost associated with waiting for the testing of real cars or prototypes.
The saving in risk and cost can be significant and we have seen full scale systems pay for themselves on the first virtual test project.
Test earlier, reduce cost of change
A driving simulator running rFpro allows you to test changes, with a human driver, earlier in the design cycle than would otherwise be possible when relying on testing real prototypes and test vehicles.
The earlier that you can identify changes, through simulated testing in rFpro, the less costly those changes are to implement.
Making changes while the engineering process is still largely model-based is relatively inexpensive compared to the cost of making changes to a real vehicle, once you have reached the physical prototype stage.
Test more, test earlier, save $millions
rFpro is being used to train supervised learning systems, to test and validate SAE Levels 4 and 5 autonomous vehicles and to develop and test ADAS systems and sensor models.
rFpro is also being used for vehicle dynamics and drivetrain engineering; to calibrate and test passive chassis designs, steering systems, chassis control systems, drivetrain control systems, traction control, stability control, torque vectoring and engine control systems.