Abstract. Indoor navigation is a complex task for people and especially visually impaired ones. This research proposes an indoor system oriented to users, integrating the OGC IndoorGML CityGML standards with Bluetooth Low Energy devices (BLE) by using RSSI signal loss value Weighted Path Loss - techniques calculate user’s location. paper describes design of its implementation as functional prot...

We present a novel approach for autonomous location estimation and navigation in indoor environments using range images and prior scene knowledge from a GIS database (CityGML). What makes this task challenging is the arbitrary relative spatial relation between GIS and Time-of-Flight (ToF) range camera further complicated by a markerless configuration. We propose to estimate the camera's pose so...

Aiming at the increasing requirements of seamless indoor and outdoor navigation and location service, a Chinese standard of Multidimensional Indoor Location Information Model is being developed, which defines ontology of indoor location. The model is complementary to 3D concepts like CityGML and IndoorGML. The goal of the model is to provide an exchange GML-based format for location needed for ...

Indoor navigation has to deal with more issues as compared to outdoor navigation. Those issues include but are not limited to; need more level of detail to process enclosing area around navigating subject or object, consideration of the context of navigation (about locomotion type and its operating environment), and dealing with unconstrained indoor space for accurate results. Because of these ...

Open Traffic is an open source software project that provides a transport modeling software environment. While most transport model packages offer ready-to-use modules for end-users, Open Traffic provides open access to a modelling environment for the (further) development of methods and algorithms and enables the sharing, distribution and further development of the implied knowledge. The Open ...

Acknowledgement The presented research is part of my M. Tech. Project work that has been carried out at Indian Institute of Remote Sensing. The guidance and support of colleagues in the making of the thesis deserve a special mention. It is a pleasure to convey my gratitude to them all in my humble acknowledgement. The first of all I am extremely indebted to my supervisor, Dr. Sameer Saran, Scie...