1. Christian Le, Intel (Rahul Khanna, Intel and Huaping Liu, OSU)
Simple and Accurate Indoor Location Research-to-Market through OSU-Intel Collaboration
Christian Le, Intel (Rahul Khanna, Intel and Huaping Liu, OSU)

2. Indoor Location Value in IOT
iGPS
iGPS
Industrial Smart Buildings
Data Centers
iGPS
iGPS
iGPS
Indoor Location Services will be as significant as GPS

3. Indoor Location Opportunities & Challenges
Enterprise- Tracking Asset, Personnel, Security
Eco-system:
Indoor maps & with context
AP deployment
Physics:
Light 1ns error = 30cm
RF Indoor propagation
Methods:
ToF, TDOA, RSS, Sensors Fusion, Beaconing
Accuracy : ~5-10m
Shopping
Advertising
Venue
&
Floor Level
Assistant
Social
Gaming
Analytics…
< 1m accuracy, efficient and pervasive (WIFI) infrastructure are key attributes for adoption

4. SAiL: Simple Accurate indoor Location
Base Receiver cluster #1
Wifi Devices
Receiver cluster #2
~1m
UWB Prototype 8
Signal processing
Data stream
consolidation
TDOA calculation
Via WiFi to computer RF
Digitizer
Data Acquisition Unit
Positioning Engine
Unique Independent Clustered Receiver
• One meter accuracy using WiFi Time Difference of Arrival - expected 85% confidence
• No “helper” technologies needed
• No need to synchronize the distributed receivers
• No changes on phone (just develop apps)

5. Collaboration & Partnership
IP TDOA Cluster Architecture UWB
R&D Wifi algorithms
RF design & system integration
UWB to Wifi Product Requirement
Market Insights
System Test Bed
Technology Integration
Innovation IOT systems +
Sensory Systems
IoT Systems
Software Systems & Infrastructure
Data Intelligence & Visualization
Security