| Paper Name |
InLoc: An End-to-End Robust Indoor Localization and Routing Solution using Mobile Phones and BLE Beacons |
| Published in |
2016 IEEE International Conference on Indoor Positioning and Indoor Navigation (IPIN)
|
| Authors |
Vivek Chandel; Nasimuddin Ahmed; Shalini Arora; Avik Ghose
|
| Paper Overview |
‘InLoc’, an accurate and a robust positioning and tracking system using commercial mobile devices.
‘InLoc’ integrates feature of route finding for the user from a source to the desired destination.
Novel contributions
- Raster Floor Map convert to Vector Floor Map
- RSSI to distance using Machine Learning
- Location fusion of inertial and BLE beacon
|
| Experiment results |
|
| Methodology |
- Map processing : Use standard edge detection techniques based on adaptive brightness cutoff
- BLE Beacon Location Estimation : RSSI convert to Distance using machine learning
- Inertial Tracking : For a real-time location tracking, we use IMU sensors embedded in the phone to send the per- step updates to the location server. The location server runs an instance of a particle filter (PF).
- Routing : The grid representation to derive the graph G = (E, V ), This definition of G can be used readily with algorithms like Dijkstra’s algorithm
- Location fusion : We calculate an independent location from the beacons, and fuse it with the latest inertial module’s location
|
