Driving Simulation

rFpro is being used for driving simulation by 6 of the top 10 OEMs as well as many smaller OEMs and T1s for Virtual Test programmes of vehicles, subsystems, ADAS and Deep Learning Autonomous Driving.

This week we're at Auto AI USA

Chris Hoyle, Technical Director at rFpro is about to take to the stage (March 12th 2018) at Auto AI, San Francisco to discuss Real-world simulation, for training and validation of Deep Learning Autonomous Systems.

This week we're at Auto AI USA

Driving Simulators and Workstations for Virtual Testing

There are now road car models on sale today, from Top 10 OEMs who were early adopters of rFpro technology, whose chassis and drivetrain testing and calibration began in rFpro in order to reduce costs and time delays in the engineering process.

Vehicle Dynamics capable

The unique feature of rFpro, compared to traditional driving simulators, is that it allows driving simulators to be used to test the vehicle dynamics of road vehicles. By delivering a high resolution road surface in real time, while generating accurate realistic graphics without lag, professional test drivers may contribute to the engineering process while the car design is still model based.

ADAS and Deep Learning Autonomous Driving

rFpro is being used to train, test and validate Deep Learning systems for ADAS and Autonomous applications. rFpro's weather and physically modeled atmosphere, delivering realtime reflections, shadows and lighting mean rFpro can save years from your ADAS, sensor and Autonomous development projects.

100s of kilometers of public road models are available off-the-shelf, from rFpro, spanning North America, Asia and Europe, including multi-lane highways, urban, rural, mountain routes, all copied faithfully from the real world.

Saving Cost, Risk and Time Delays

This means that an rFpro driving simulator, or engineer's Workstation can allow 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 vehicle virtual test project.

Test earlier, reduce cost of change

By testing earlier in the engineering process on an rFpro driving simulator, the changes identified through test driving can be made while the cost of implementing those changes is still relatively low; before prototypes are required and before production. The cost savings can be substantial.

Test more, test earlier, save $millions

rFpro is being used to test and calibrate passive chassis designs, steering systems, chassis control systems, ADAS and Autonomous sensor models, algorithms and control systems, drivetrain control systems, traction control, stability control, torque vectoring and engine control systems. As well as to train, test and validate deep learning autonomous driving models.