i-locate Toolkit

This module has been created in the framework of the i-locate project.
Authors: include personnel from U-Hopper srl, Trilogis, ZigPos, TU Eindhoven. The material is released under a Creative Commons Attribution Share-Alike License (http://creativecommons.org/licenses/by-sa/3.0/).
This module describes the structure of the i-locate toolkit and introduces the basics of its components.The i-locate toolkit is meant to support the development and deployment of value-added location-based services spanning indoor and outdoor environments. The toolkit, developed by the i-locate Consortium and released as open source, allows companies and innovators to quickly and easily integrate a plurality of indoor/outdoor positioning technologies, while providing implementation of generic and specific enablers.

The module comprises a number of presentations with voice-over (one per each toolkit component) and is meant to provide a high-level introduction to components’ functionality and implementation. The module targets mostly high-tech SMEs and Web entrepreneurs in the field of location-based services.

The module consists of these parts as follows:

  1. Introduction to the i-locate toolkit (UH)
  2. Proxy and indoor/outdoor localization (UH)
  3. Configuration (ZigPos)
  4. Monitoring (UH)
  5. Routing (TUE)
  6. Geofencing (Trilogis)
  7. OGC Spatial (Trilogis)
  8. Spatial Solver (Trilogis)
  9. Location Analytics (UH)
  10. Asset management (Trilogis)
  11. Crowdsourcing (UH)
Learning outcomes
Learners are expected to be able to understand the structure and functioning of the i-locate toolkit and its components. This will provide the necessary introductory knowledge to quickly learn the specific details of the toolkit components implementation as detailed in public deliverable D3.8 (toolkit manuals).
Intended Audience
Companies (in particular: high-tech innovative SMEs and Web entrepreneurs) interested in using the i-locate toolkit to develop value-added LBSs. Developers wishing to enhance the toolkit implementation.
No specific pre-requisites have been identified.
Presentation with voice-over.
Expected workload
Around 20 hours