Visteon Global Technologies, Inc.

A hidden camera subsystem that monitors a driver of a vehicle includes a dashboard, a camera sensor, a reflector and a first electronic control unit. The dashboard is disposed in the vehicle. The dashboard establishes a lower sight line of the driver. The camera sensor has a field-of-view and is disposed below the lower sight line such that the camera sensor is hidden from the driver by the dashboard. The camera sensor is operational to generate a sensed video signal of a scene within the field-of-view. The reflector is disposed above the lower sight line and oriented to direct the field-of-view of the camera sensor to include a head of the driver in the scene. The first electronic control unit is operational to receive the sensed video signal and monitor the driver in response to the head of the driver within the sensed video signal.

An object detection system may include an object detecting device. The object detecting device may generate an object signal based on detecting an object. The object detection system may include a controller for operating a motor. The motor may be connected to a wiper element. The controller may generate a position signal based on a position of the motor. The object detection system may include an object detection module in communication with the object detecting device. The object detection module may receive the object signal and/or the position signal. The object detection system may be configured to selectively control the motor in response to detecting the object.

A system for providing traffic information to a driver of an ego vehicle includes at least one sensor that provides image data of detected objects, including other vehicles, in a surrounding area of the ego vehicle; a position detection device that detects a position of the ego vehicle; a display unit that renders visual information relating to an environmental model of the surrounding area of the ego vehicle, the position, and corresponding digital map data; and an image analysis unit configured to determine a vehicle characteristic of at least one other vehicle in the surrounding area of the ego vehicle from a vehicle image of the at least one other vehicle generated based on the image data from the at least one sensor and to display information on the display unit based on the determined vehicle characteristic.

A method for a vehicle includes determining a region of interest based on environment sensor data corresponding an environment of the vehicle and a machine-learned predictor configured to identify, within the environment sensor data, a region as the region of interest that at least statistically coincides with a line of sight of an occupant of the vehicle. The method also includes classifying a detected object within the determined region of interest using an object detection algorithm. The method also includes operating the vehicle in based on at least one of the detected object and the determined region of interest.