Abstract: The present invention relates to a night vision system human machine interface and particularly to an HMI display that provides enhanced road scene imagery from low resolution cameras.

Abstract: A method for testing cameras includes positioning a camera such that an image of a target is displayed on a monitor within at least one default image parameter. The method further includes engaging a dimming condition of a light source from the camera, thereby generating a lighting condition signal. Subsequently the camera receives the lighting condition signal and displays it on the monitor. A group of observers then analyze the lighting condition signal. The method continues through engaging a second dimming condition of the light source from the first camera, thereby generating a second lighting condition signal, which is also displayed on the monitor. The group of observers then analyzes the second lighting condition signal.

Abstract: A method for testing cameras includes positioning a camera such that an image of a target is displayed on a monitor within at least one default image parameter. The method further includes engaging a dimming condition of a light source from the camera, thereby generating a lighting condition signal. Subsequently the camera receives the lighting condition signal and displays it on the monitor. A group of observers then analyze the lighting condition signal. The method continues through engaging a second dimming condition of the light source from the first camera, thereby generating a second lighting condition signal, which is also displayed on the monitor. The group of observers then analyzes the second lighting condition signal.

Abstract: A pre-crash system (10) has a controller (12) coupled to an object sensor (18). Object sensor (18) has a vision system (22) that includes image sensors to detect an impact and in particular, a side impact. The image sensors provide a high frame rate to a video-processing chip (32) which in turn is coupled to a general purpose controller (34). The general-purpose controller 34 determines whether an object is an impending threat and controls the deployment of an airbag through an airbag controller (36) or other counter-measure. The high frame rate used in the present invention allows not only the distance to the object but the velocity of the object as well as the acceleration of the object to be determined and factored into the deployment decision.

Abstract: A vision enhancement system 10 which aids the driver in visually identifying a sensed object 16 without diverting his/her attention from the road ahead. One or more sensors 20 used to collect information about the vehicle's environment are operatively coupled with a controlled source of illumination 38. A processor 24 receives input from the sensors and intelligently determines whether a particular object sensed in or near the current path of the vehicle requires alerting the driver. If so, the processor outputs a control signal 30 to effect illumination of the sensed object. The source of illumination is controlled so as to continuously direct light onto the identified object, even as the vehicle and/or object move simultaneously with respect to one another.

Abstract: A method of predicting volume of finished combustion chambers from a raw cylinder head casting including the steps of capturing cylinder head geometry of a raw cylinder head casting, transforming the captured cylinder head geometry into a machining coordinate system, virtual machining the raw cylinder head casting based on the transformed geometry, calculating a volume of combustion chambers of the virtually machined cylinder head, adding signed volumes of at least one component to the calculated volume to obtain a finished volume, and adjusting a mold for the raw cylinder head casting to achieve the desired finished volume.