Abstract: To reliably detect an object such as a bicycle at increased range, an Advanced Driving Support System uses a deep neural network(s) to process an ambient (grey-scale) image into an object that is then tracked by a second range detection camera. Most objects of interest, such as bicycles and automobiles, are outfitted with one or more retroreflectors that are used to cue the neural network to the object of most interest. As the retroreflectors also tend to saturate the range detection camera, a method is used to manage the saturation and estimate the correct range to the object.