As revealed in the video below, TRI researchers successfully programmed a vehicle to autonomously drift around obstacles on a closed track — a world first. Combining a deep knowledge of both vehicle dynamics and control design, TRI’s Nonlinear Model Predictive Control (NMPC) approach extends the vehicle’s operational domain to the very limits of its performance. The idea behind this research is to utilize controlled, autonomous drifting to avoid accidents by navigating sudden obstacles or hazardous road conditions like black ice.

Every year, car crashes result in about 1.35 million fatalities worldwide. While most crashes occur in mundane situations, in some extreme situations, drivers may need to make manoeuvres that take their vehicle close to and, at times, beyond normal limits of handling.

One year ago, TRI and the Dynamic Design Lab at Stanford University set out to design a new level of active safety to help avoid crashes and prevent injuries and fatalities. With the support of automotive performance specialist GReddy and drift legend Ken Gushi, today’s achievement is another step in that journey. By building skills comparable to an expert driver, this technology can amplify and augment a regular driver’s ability to respond to dangerous and extreme situations, helping keep people safe on the road.

This achievement brings TRI researchers closer to understanding the full spectrum of vehicle performance. The software advances announced today calculate a whole new trajectory every 20th of a second to balance the car gracefully as it goes around the track.

Looking ahead, Toyota will continue to push the limits of vehicle safety technology by researching ever more effective ways for emerging safety technologies to amplify human capabilities on the road.