# L5 IN: Overview of an Indoor Navigation Pilot Project
## 2 L5 IN Project Overview
### Generation of Building Plans and Models  
A fast, safe, and reliable navigation is only possible if detailed knowledge about a location is available. While many official, commercial, and open source geodata are available worldwide for outdoor applications, hardly any plans are available for buildings or are not accessible to the user. Consequently, an effective process is required for the effective and efficient generation of building plans and models for indoor navigation applications.  
In [11], the authors presented a method for creating indoor maps from rescue plans. For this aim, the user takes pictures of the rescue plans, which are then processed with the help of a suitable image editing pipeline. The result is a rough floor plan, which consists of polygonal room outlines and identified staircases, if possible. The authors of [12] integrated this approach into their investigation for deriving routing graphs from building plans. A photograph of the escape and rescue plan is first corrected by projective rectification. Then, all color elements are erased from the image to remove the supplementary routing symbols. Thresholds are used to generate a binary image that can then be used to calculate edges. However, this approach is not yet fully automatic, as some remnants of symbols and gaps in walls or black pixels require a final manual correction of the generated results.  
In order to provide suitable map material for indoor navigation application in the LSIN project, different available 2D and 3D geodata for public buildings need to be evaluated regarding their usability. In doing so, which possibilities exist for further processing of building plans and how complex these are will need to be investigated. For this purpose, the data are to be digitized, generalized, and blended automatically. Existing approaches are to be implemented and an optimal strategy developed. In this way, it should be possible to create a map data set as easily and quickly as possible, e.g., with escape and rescue plans, which exist almost everywhere in public buildings such as universities, shopping centers, and airports.  
For new buildings, there are often already digitized building plans available, e.g., in dwg format. These can be processed into a BIM. One advantage is the fast handling, because additional information such as room number and type are often included and can be used. In the absence of plans or if the available geodata is insufficient, current measurement systems and procedures for a complete 3D survey of the essential features of a building are to be investigated. In order to evaluate them with regard to the requirements of the overall project, the following criteria must be observed: required resolution of the 2D/3D geodata, target accuracy, object characteristics (measurability of building parts), building dimensions, coordinate system (geo-referencing to the exterior). Based on the most economical overall solution, comprising measurement technology, measurement procedures, and fusion algorithms, the survey of the building of HafenCity University is to be implemented together with a BIM. Furthermore, models for navigation and visualization are to be derived from the survey data. This modeling of geometric models is to be automated as much as possible using data-based and stochastic algorithms, so that efficient scalability of the usable data is possible. In the next step, an enrichment with case-specific semantic information can lead to a BIM that can be used as a data source for indoor navigation.