Building the robotic driving instructor

At Carnegie Mellon’s Quality of Life Technology Center, driving assistance is a major focus of study. Researchers have developed adaptive navigational systems that analyze the routes drivers normally take and then suggest alternatives that avoid interstates, unguarded left-hand turns, busy intersections, or roads that are narrow to the point of being treacherous. Brian Ziebart, a researcher on the project, says the next goal is to predict where a driver might be heading and suggest alternative routes if there is a potential hazard, such as inclement weather. For now, the team is working on commercializing the product for use by automakers. The research has expanded into a new company called NavPrescience.