Abstract: A trailer merge function of a tow vehicle includes receiving sensor data from one or more tow vehicle first sensors of an environment that is rearward of a connected tow vehicle. The method includes determining whether pattern associated with the sensor data matches a predetermined pattern corresponding to sensor data in which a field of view of the one or more first sensors is at least partly blocked by a trailer connected to the tow vehicle. Responsive to determining that the trailer at least partly obstructs the field of view of the one or more first sensors, sending a signal for warning a driver of the tow vehicle of lesser functionality of a trailer merge function, or increasing a reliance of one or more other sensors mounted to the tow vehicle, different from the one or more first sensors, in performing the trailer merge function.

Abstract: A lane departure warning system which uses at least one detection device, such as a stereo camera, to map the surrounding environment in three-dimensions, which provides for a determination of the distance of various objects in a given image obtained by the camera. With the information obtained by the camera, or cameras, additional data, such as the color of each pixel in an image, it is possible to identify which pixels in the image correspond to the road. Once the pixels that correspond to the road are identified, the width of the road is determined, as well as the position of the vehicle on the road. With the width of the road being known, the road is “virtually” divided into virtual lanes, and it is determined which of the virtual lanes the vehicle is travelling, and the vehicle is monitored to ensure that the vehicle remains within one of the virtual lanes.

Abstract: A lane departure warning system which uses at least one detection device, such as a stereo camera, to map the surrounding environment in three-dimensions, which provides for a determination of the distance of various objects in a given image obtained by the camera. With the information obtained by the camera, or cameras, additional data, such as the color of each pixel in an image, it is possible to identify which pixels in the image correspond to the road. Once the pixels that correspond to the road are identified, the width of the road is determined, as well as the position of the vehicle on the road. With the width of the road being known, the road is “virtually” divided into virtual lanes, and it is determined which of the virtual lanes the vehicle is travelling, and the vehicle is monitored to ensure that the vehicle remains within one of the virtual lanes.