New developments in active safety systems include sensor data fusion from multiple vehicles. Especially cameras are gaining importance as sensors and fusing image data from multiple vehicle enables 3D scene recognition. The requirement for these new systems is the knowledge of the exact position of the vehicles. It is crucial that image and distance information is closely related. New approaches use additional sensor data to improve positioning of global navigation satellite systems coupled with inertial measurement units. A novel approach suitable for positioning for image data fusion is proposed. The system is based on laser distance measurement to landmarks. Focusing on receiver characteristics such as opening angle, signal to noise ratio and crosstalk, a system realization is presented. Outdoor in-vehicle measurement results show the feasibility of the proposed method to improve positioning accuracy.