Using fuzzy logic in automated vehicle control

Until recently, in-vehicle computing has been largely relegated to auxiliarytasks such as regulating cabin temperature, opening doors, and monitoring fuel, oil, and battery-charge levels. Now, however, computers are increasingly assum-ing driving-related tasks in some commercial models. Among those tasks are • maintaining a reference velocity or keeping a safe distance from other vehicles, • improving night vision with infrared cameras, and • building maps and providing alternative routes. Still, many traffic situations remain complex and difficult to manage, particularly in urban settings. The driving task belongs to a class of problems that depend on underlying systems for logical reasoning and dealing with uncertainty. So, to move vehicle computers beyond monitoring and into tasks related to environment perception or driving, we must inte-grate aspects of human intelligence and behavior