5
Simple and Accurate Indoor Location Research-to-Market through OSU-Intel Collaboration 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)

Embed Size (px)

Citation preview

Page 1: Simple and Accurate Indoor Location Research-to-Market through OSU-Intel Collaboration 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)

Page 2: Simple and Accurate Indoor Location Research-to-Market through OSU-Intel Collaboration Christian Le, Intel (Rahul Khanna, Intel and Huaping Liu, OSU)

Indoor Location Value in IOT

Indoor Location Services will be as significant as GPS

Industrial Smart Buildings

Data Centers

iGPS

iGPS

iGPS

iGPS

iGPS

Page 3: Simple and Accurate Indoor Location Research-to-Market through OSU-Intel Collaboration Christian Le, Intel (Rahul Khanna, Intel and Huaping Liu, OSU)

Indoor Location Opportunities & Challenges

< 1m accuracy, efficient and pervasive (WIFI) infrastructure are key attributes for adoption

Enterprise- Tracking Asset,

Personnel, Security

Eco-system:Indoor maps & with context

AP deployment

Analytics…

ShoppingAdvertising

AssistantSocial

Gaming

Physics:Light 1ns error = 30cm RF Indoor propagationMethods: ToF, TDOA, RSS, Sensors Fusion, BeaconingAccuracy : ~5-10m

ChallengesOpportunities

Venue &

Floor Level

Page 4: Simple and Accurate Indoor Location Research-to-Market through OSU-Intel Collaboration Christian Le, Intel (Rahul Khanna, Intel and Huaping Liu, OSU)

4

Receiver cluster #2

Positioning Engine

SAiL: Simple Accurate indoor Location Wifi DevicesBase Receiver cluster #1

~1m

~1m

8

8

8

8

• Signal processing

• Data stream consolidation

• TDOA calculation

Via WiFi to computer

RF Digitizer

Data Acquisition Unit

UWB Prototype

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)

Page 5: Simple and Accurate Indoor Location Research-to-Market through OSU-Intel Collaboration Christian Le, Intel (Rahul Khanna, Intel and Huaping Liu, OSU)

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