i-galileo indoor navigation - dlr portal · 2013. 12. 19. · i-galileo indoor navigation . 2...
TRANSCRIPT
H2020 Info Days
December 12th 2013
i-GalileO indoor navigation
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Agenda
Project Overview
Indoor location market
Project Achievements : accuracy < 1 m
Next step
H2020 Info Days – December 12th, 2013
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Insiteo High accuracy indoor location (WiFi/BLE and sensor fusion) for
smartphones Indoor maps , routing & geofencing solution for smartphones R&D activities on pseudolite systems
FP7 call supports GNSS innovation and addresses SME
constraints with a dedicated call
Project objectives (GSA “iGOing” project): Demonstrate the ability to reach sub-meter accuracy Continuous transmission pseudolite system Standard GNSS receiver architecture One standard reception antenna Using 5 Mchips/s signals
Project Overview
H2020 Info Days – December 12th, 2013
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Project Overview
687 k€ - 63 Men Month – 24month duration
Indoor localization requires to innovate in signal processing to overcome multi path and near far issue
The solution must cope with mass market receiver
The consortium is gathering key actors in each domain CSR DLC FH IIs Insiteo itrust Silicom
Indoor services
Application
Galileo env.
Mass market ic
Pseudolite & algo
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Agenda
Project Overview
Indoor location market
Project Achievements : accuracy < 1 m
Next step
H2020 Info Days – December 12th, 2013
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Market
GROWTH OF RETAIL MOBILE APPLICATIONS
Usage of retailer shopping applications have increased 525% in 2012
SMARTPHONE USAGE IN RETAIL SPACES
• 70% of consumers use their smartphone in a mall
• 79% of smartphone users expect some assistance from their smartphone while shopping
• 74% of application users declare following a search by an actual purchase
Source : Flurry, Mars 2013 Source: The Mobile Movement Study, Google/Ipsos (April 2011)
H2020 Info Days – December 12th, 2013
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Market
Save time
51% 44% 42%
Save money Make life
easier
What customers are expecting from the
mobiles services they use in store
Source : Google thinking Mobile 2013
Market
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« Find the right product or service easily »
« Notify users of deals and promotions when they go near the concerned products »
« Obtain the most efficient path for a shopping list »
« Receive suggestions according my shopping list, when they are close to hand »
Market
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Delete the « search time » from the customer experience The search time is a negative element of the customer path. It degrades the
experience in the point of sale. Reducing the search time does not mean a reduction in the duration of visits, but a greater availability of the customer.
Average basket increase Mechanically by reducing oversights and products not found With localised suggestions (according to position and behaviour) Improved customer knowledge A new dimension to the monitoring of consumer behaviour at the point of sale Tools that are similar to those already available in e-commerce
Loyalty …providing, innovative, useful and effective services that improve customers experience
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Agenda
Project Overview
Indoor location market
Project Achievements : accuracy < 1 m
Next step
H2020 Info Days – December 12th, 2013
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i-GOing
Receiver Based on the USRP e100 from Ettus Research Software architecture
• Custom USRP Linux module (to cope with real-time processing)
• Custom FPGA design • Flexible code rate / carrier frequency
Tracking with Narrow correlator & Vector xLL Navigation software
Pseudolite
Transmission in ISM band 2,4 GHz (E6) Greater Data rate (“data pulse”): 5 MHz Long PRN Evolution of Navigation message Every modification (but the frequency) is implemented in software
(VHDL), allowing easy changes => flexibility
H2020 Info Days – December 12th, 2013
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System installation:
Environment: exhibition hall 3 RHCP antennas 40m between antennas 1 PRN per antenna (33, 34, 35)
Test methodology: Place the antenna at a reference test point & 1m height Launch receiver & log positions (2 Hz refresh rate) for 60 seconds
i-GOing
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The C/A GPS codes broadcast by each antenna have a 24 dB cross-correlation in the worse cases
Code offsets have been chosen to ensure
60 dB isolation on +/- 3 chips
i-GOing
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i-GOing
Mean Bias is below 30 cm in static conditions
Test position
Mean Bias (m)
1 0,13 2 0,09 3 0,25 4 0,07 5 0,04 6 0,33
50% of positions are better than 25 cm accuracy 90% of positions are better than 50 cm accuracy
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IPIN 2013
67% of the positions are within the 50cm boundary from the reference trajectory
All positions are within the 50cm boundary from the reference
trajectory
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Agenda
Project Overview
Indoor location market
Project Achievements : accuracy < 1 m
Next step
H2020 Info Days – December 12th, 2013
Next step
Bring iGOing achievements on market
Integrate iGOing technology Ensure it takes a credible position in the technologies landscape Benefit from the outstanding capability of Galileo to setup a world
standard : build the dedicated ICD
Integrate iGOing usages
Assess the market potential of a high accuracy location technology Build innovative services : mapping, product referencing, pushes… Run pilots in a couple of dedicated environments
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i-GOing
A system with the required characteristics was built & tested
Static and dynamic tests sessions were logged and show that sub-meter accuracy can be reached
More extended testing & development will be carried. The
improvement areas which are identified include: Improving robustness to fading Using more antenna sites to implement Receiver Autonomous Integrity
Monitoring (RAIM) algorithms, Multiple PRNs per antenna & different types of diversity
H2020 Info Days – December 12th, 2013
Thank You Insiteo Toulouse 23, Bd Victor Hugo 31770 - COLOMIERS
Thierry TORLOTIN [email protected]
Arnaud MASSON [email protected]