LSS (Lateral Support Systems) was developed as a driver support system to help prevent road departure crashes. It uses a forward monitoring camera to recognize the lane markings that identify lane boundaries. If there is a high probability of lane departure, LSS warns the driver and/or performs control to steer the vehicle back inside the lane. However, there are not always lane markings when road departures happen. Therefore, LSS systems that can detect road edges and help avoid departure from not just the lane but the road is more desirable. This research analyzes road edges existing in the US and Europe with the aim of understanding what road edges should be detected and avoided by LSS systems. Google Street View was mainly used for this analysis. The research found that grass is the most important road edge in both US and Europe. Also, other road edges such as curb, vertical boundary, and guardrail are found important for LSS systems. These results will help to design robust systems able to distinguish critical situations from non-critical situations and to establish valid evaluation methods for the new generation of LSS systems.