University of Waterloo, Ontario devises solution to help driverless cars avoid accidents

Engineers at the University of Waterloo, Ontario, have developed decision-making and motion-planning technology to limit injuries and damage when self-driving vehicles are involved in unavoidable crashes.

After recognizing that a collision of some kind is inevitable, the system works by analyzing all available options and choosing the course of action with the least serious outcome.

The first rule for the AV crash-mitigation technology is avoiding collisions with pedestrians. From there, it weighs factors such as relative speeds, angles of collision, and differences in mass and vehicle type to determine the best possible maneuver, such as braking or steering in one direction or another.