Accurate localization in short distance based on computer vision for mobile sensors

In order to maximize the utilization of mobile sensor network, formation of sensor set and localization of each sensor node must be implemented. It is required that localization is one of the most important functionality of mobile sensor nodes. In this paper, we present a technique which improves the relative location of the MSN with a computer vision technology. This technique effects only in short distance but only with low price sensors, we achieved precise localization in the resolution of 10 centimeters. The well known perspective-3-point problem have been exploited for the precise short distance localization. By experiment we present an interrelation between angle of camera view and a LED pattern interval. We measures the distance of the counterpart vehicle and vehicles shares distance information of obstacle and the relative vehicles with possible cooperation of vehicles. The angle of a vehicle can be identified by digital compass. Finally, with a share of location information we can achieve localization of mobile sensor nodes with high accuracy.