Driver Coach

Rimac Driver Coach Development

The AI system instructs the driver how to drive on the racetrack at maximum vehicle performance.


Our Driver Coach system feature is made possible via a set of various sensors and an incredible level of on-board processing power. The sensor set features nine onboard cameras, a LIDAR, radar, in-seat sensors and 12 ultrasonic sensors, all feeding into an on-board supercomputer, which collects up to 6TB of data per hour of driving.

The system is capable of evaluating and analysing ability its surroundings and the car’s state in a split second, calculating the right trajectory and vehicle commands and executing them in real time. The driver receives audio and visual instructions are fed through the car’s speakers and displays.

Created and designed in-house, the development of the system has so far taken place over three years by our team of scientists, software engineers, test drivers and psychologists. Together, they have built the whole system – conducted everything from phycological analysis and computer simulations to real-life, on-track testing using development mules.



The amount of time spent developing and testing the system to date



The amount of driving data collected by the car per hour, the equivalent of 1.68 billion photo files

Linked to the web, the system shares the performance and achievements of the driver with other users, creating an online Driver Coach community. Through users driving on different tracks, the system records the session data to compile an accessible track complexity index, which ranks the difficulty of various racetracks all around the world.

Rimac Nevera, WLTP: electricity consumption, combined: 30.0 KWh/100km; CO2 emissions, combined: 0 g/km