Abstract: A method and apparatus for tracking a location of an object or target in a 3D space. At least one target including unique sub-targets is attached to a vision object in the 3D space. A camera disposed in a 3D space, and coupled to a computing device captures a 2D image of a target. The camera computing device identifies the sub-targets of the target and transfers the sub-target data to a computing device associated with the camera which accesses a data base of target data to identify target an, using sub-target separation distances in the database to determine 3D location and orientation of the target. Another computing device transforms the 3D locations of the detected target in the camera coordinate system into a single 3D coordinate system for the 3D space. The 3D location of targets detected by multiple cameras of different computing devices maybe daisy chained together to convert the target location in the 3D coordinate systems of each computing device into a single 3D coordinate system.

Abstract: A reverse light assembly that is mountable on the rear of the trailer portion of a tractor-trailer or similar vehicle. The reverse light assembly comprises a reverse light housing removably or permanently securable to the rear of a trailer by means of brackets and fasteners, such as screws, or bolts, among others. The reverse light housing includes one or more lights thereon to provide illumination in the rear of the vehicle and illuminates to indicate that the tractor-trailer is in reverse. The reverse light housing may be remotely operated by a control unit inside of the cabin of the vehicle or by a key fob device so that the user can selectively illuminate the lights thereon. Alternatively, the reverse light assembly may be operably connected to the vehicle's electrical system so as to allow the lights to automatically illuminate when the tractor-trailer is shifted into reverse.

Abstract: A method of finding unique targets arranged in a unique sequence of targets in a color image applies ratio space rich colored filtering to identify a band of pixels that form a transition curve from one rich color to another. A set of transition curves with simple geometric and color properties for the entire image, are compared to a database of target properties to identify a target in an image. The targets are provided on a carrier that is attached to a surface to enable processor to identify the surface location and orientation by the targets.

Abstract: A method of finding targets in a color image applies ratio space rich colored filtering to identify a band of pixels that form a transition zone from one rich color to another. This pixel band is reduced to a rich color transition curve. A set of transition curves with simple geometric and color properties for the entire image, can be compared to a database of target properties to identify a target in an image.

Abstract: A method of finding targets in a color image applies ratio space rich colored filtering to identify a band of pixels that form a transition zone from one rich color to another. This pixel band is reduced to a rich color transition curve. A set of transition curves with simple geometric and color properties for the entire image, can be compared to a database of target properties to identify a target in an image.

Abstract: A method for identifying color in a target creates a ratio color space by determining the largest color component value of each pixel in an image and creating a ratio of all of the color component value with the largest component value for each pixel. The ratio for the color component of each pixel undergoes a threshold test to identify each color component as a rich shade or a fade shade. The ratio space color components are converted to a black and white image. Color information of adjacent pixels are clumped together to form blobs of the same color. The blobs are filtered by shape, color, location, or orientation and sorted to find targets that consist of a predefined pattern with the desired characteristics.