Abstract: Provided is a system for predicting a driver's intention to change lanes at a high accuracy involving a minimum amount of time delay. A driver's intention to change lanes is predicted by a prediction unit (9) by comparing motivators and inhibitors (7, 8) which may be determined from the speed of the traffic in particular the vehicle traveling ahead of the vehicle and the traffic in the adjacent lanes in relation to the traveling speed of the ego vehicle by using an ego vehicle sensor (1) and an environmental sensor (3, 4, 5) that may comprise a radio wave, optical or acoustic radar. The criteria for the motivators and inhibitors may be empirically or statistically determined, preferably by conducting a large number of tests on roads. As they can be determined before the vehicle operator starts a lane changing maneuver, the prediction made by the prediction unit may be used on a real time basis in a warning system or steering/acceleration assist system.

Abstract: Provided is a system for predicting a driver's intention to change lanes at a high accuracy involving a minimum amount of time delay. A driver's intention to change lanes is predicted by a prediction unit (9) by comparing motivators and inhibitors (7, 8) which may be determined from the speed of the traffic in particular the vehicle traveling ahead of the vehicle and the traffic in the adjacent lanes in relation to the traveling speed of the ego vehicle by using an ego vehicle sensor (1) and an environmental sensor (3, 4, 5) that may comprise a radio wave, optical or acoustic radar. The criteria for the motivators and inhibitors may be empirically or statistically determined, preferably by conducting a large number of tests on roads. As they can be determined before the vehicle operator starts a lane changing maneuver, the prediction made by the prediction unit may be used on a real time basis in a warning system or steering/acceleration assist system.