Towards real-time recognition of driver intentions

Knowledge of an automobile driver´s intended actions (e.g., to turn, change lanes, etc.) could facilitate the integration of intelligent vehicle systems with the driver. The actions can be inferred from the driver´s control actions as he/she prepares to execute an action. Actions are modeled as a sequence of internal mental states, each with a characteristic pattern of driver control behavior. By observing the temporal pattern of the drivers´ control behavior and comparing it to the action models, we can determine which actions the driver are beginning to execute