Pedestrian Indoor Navigation In the Institute for Real-Time Computer Systems,
As the importance of location-based services grows, the accuracy and availability of location becomes a crucial issue for the success of such services. While outdoor localization via GPS is widely used, indoor localization without the aid of costly infrastructure still remains an area of active research.
The practicality of indoor localization is often hindered by the need for expensive and cumbersome sensor systems and the absence of accurate indoor maps. To overcome these inconveniences we have developed a mobile localization system, based on small wearable wireless sensors. These send their data to an off-the shelf handheld device, which serves as sensor fusion system. For visualization and map matching we use a topological indoor map, that is automatically extracted from standard CAD sources. Thus we enable the user to determine his current position at any time and at any place.
Schäfer M, Knapp C, Chakraborty S. Automatic generation of topological indoor maps for real-time map-based localization and tracking [C]//International Conference on Indoor Positioning and Indoor Navigation (IPIN), IEEE, 2011: 1-8.
New discovery worth spreading on cognitive navigation in robotics and neuroscience