Road lane reconstruction using vision — based macro block spatial predictions

Vision - based road lane detection and reconstruction is a very common interest in the field of computer vision (CV). It has numerous application ranging from autonomous vehicle to driver assist and support systems technology. These researches are always focusing on both accuracy and complexity of the system's output; however, none of these uses Macro Block (MB) method. This paper introduces the characteristics of MB method used for spatial road lane detection and reconstruction subjected to different environment conditions; different MB size; and different function approximations.