## 7 Conclusion and Future Work  
Indoor LBS and especially indoor routing are gaining attraction in research efforts as well as commercial application. Contrary to existing approaches, a 3D visualization is desirable, because it allows a better perception and understanding of the provided information (e.g., the computed route) for the users. When developing 3D indoor applications, it is furthermore important that they are broadly  
Figure 7: 3D visualization for a computed route between user-defined start and target inside the building. accessible, thus that common browsers can visualize 3D indoor information. That is, for reducing the barrier of using the application, no additional software or plugin should be required. Furthermore, crowdsourced indoor geodata seems to a promising data source for detailed information about indoor spaces. Due to the pre-computation of routes, the approach presented here suits well to static scenarios, in which routes are always available and room settings do not change. However, in its current state, it cannot be directly adapted to scenarios which are rather dynamic, such as emergency situations or simulations, _etc._, in which certain routings may quickly become invalid. That is, for the consideration of such dynamic scenarios, it is required to not only provide pre-computed routes, but also on-demand route computation functionality. It can be concluded that it is already feasible to create 3D indoor routing applications which are purely based on crowdsourced indoor geodata from OSM. In particular, it has been proven that 3D indoor routing services can be implemented by using XML3D, thus that 3D indoor LBS can be used without any specific software or prerequisite (except the XML3D-enabled browser). Essentially, this allows the provision of 3D applications in the context of future Internet by utilizing cutting edge Internet technology. As described beforehand, the conducted research has been based on crowdsourced geodata. However, the general architecture as well as the client itself is also suitable for other data sources. In general, any other (proprietary) data source, such as CAD plans, evacuation plans, Industry Foundation Classes (IFC) models from the Building Information Modeling (BIM) domain or 3D modelling software (e.g., Cinema 4D or 3D Studio Max), can be utilized for the generation of the here presented XML3D based indoor routing application. In this research we have shown the potential of a crowdsourcing approach through OSM, because the authors believe that this is an important and rich source for open and free geodata. Future work will include the incorporation of several buildings. This will allow queries like \"_What is the shortest route between office 321 on the 3 rd floor of building A to the lecture room in the basement of building B_\". Also, different usage modes such as examination or walk-around shall be included, because this is likely to increase the user experience. Additionally, the inclusion of access restrictions and different states of spaces and doors has to be considered in both the _IndoorOSM_ model and the presented application. Furthermore, the XML3D technology needs to be developed further; essentially it is desirable that XML3D will become a part of HTML5, thus a standard which is accessible in every browser on any device. The utilization of the generated routing graph for complex analysis, such as emergency evacuation simulations, is also a desirable, but challenging task, and will be investigated in the near future. Regarding the data acquisition by OSM contributors, there is fertile ground for future research. Due to missing GPS signals inside buildings, other methodologies, techniques and devices must be utilized for indoor mapping activities. Some existing examples are step counters, images of publically accessible evacuation plans, or distinct indoor mapping apps, but easy to use and cost effective solutions are required.