# Indoor-Guided Navigation for People Who Are Blind: Crowdsourcing for Route Mapping and Assistance
## 5 Web-Crowd-Assisted Social Networking Implications for Navigation Indoors
It must be pointed out that, in real-life situations, even regularly updated navigational web cloud databases of indoor routes cannot account for unpredictable and complicated indoor daily changes caused by renovations, other humans, machines, accidents, and people who are BSVI themselves. However, unlike other similar in-kind devices and systems, the proposed integral ETA system can provide real-time help in such complex situations. For that matter, in the third modality, when a person who is BSVI encounters a complicated indoor navigation situation such as (a) a deviation from the chosen route, (b) unpredicted obstacles that do not allow the person to pass farther, (c) a missing location ID, etc., the person who is BSVI can make a real-time video call to volunteers for online help to resolve the indoor problem. In this way, using a mobile app, volunteers can obtain almost real-time access to the BSVI user's camera view (see Figures 1 and 17). However, before calling a volunteer, the ETA system can propose a way back to the last identified location ID when the person who is BSVI is lost. For this reason, the ETA system records the recent multisensory data stream (walking directions and speed, distances of each straight walking segment) to allow it to make dead reckoning instructions back to the last known location ID point. For that matter, machine learning algorithms process the situation, reexamine the route validity, and make propositions to include new location IDs or recognizable objects. If this method does not help, the person who is BSVI can call a volunteer for real-time help using the third modality's ETA system functionality (see Figure 17). In this way, with the consent of the person who is BSVI, a volunteer can see:  
1. The current interactive indoor navigational route map stored in the online database;
2. the BSVI user's progress on that route;
3. passed and next expected views of location ID places;
4. third-party information stored a priori regarding the building's floor plan (e.g., escape plan), indoor maps such as OpenStreetMaps, or use other geospatial orientation systems. This information enables a volunteer to be more informative and better understand the context of the BSVI user's problem. That is, it helps them to see the problem from a grand view perspective. This saves mobile connection time and makes assisting efforts more effective. The ETA system (while a volunteer guides the person who is BSVI) scans visual and sensory data to give feedback and help to navigate the next location ID place or the destiny place. It is important to note that the proposed ETA system can provide a ranked list of volunteers who are most familiar with the place or problem the person who is BSVI is facing. The above-described web-crowd-assisted social networking support methods employed for indoor guided navigation have been described in detail with particular reference to certain aspects, but it should be understood that variations, combinations, and modifications can be made within the spirit and scope of the presented novel approach.