i-GalileO indoor navigation H2020 Info Days December 12th 2013 Agenda Project Overview Indoor location market Project Achievements : accuracy < 1 m Next step H2020 Info Days – December 12th, 2013 2 Project Overview 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 H2020 Info Days – December 12th, 2013 3 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 Indoor services Insiteo Galileo env. Pseudolite & algo Silicom Application Mass market ic itrust H2020 Info Days – December 12th, 2013 4 Agenda Project Overview Indoor location market Project Achievements : accuracy < 1 m Next step H2020 Info Days – December 12th, 2013 5 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 6 Market What customers are expecting from the mobiles services they use in store 51% Save time 44% Save money Source : Google thinking Mobile 2013 42% Make life easier H2020 Info Days – December 12th, 2013 7 Market « Find the right product or service easily » « Receive suggestions according my shopping list, when they are close to hand » « Obtain the most efficient path for a shopping list » « Notify users of deals and promotions when they go near the concerned products » H2020 Info Days – December 12th, 2013 8 Market 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 H2020 Info Days – December 12th, 2013 9 Agenda Project Overview Indoor location market Project Achievements : accuracy < 1 m Next step H2020 Info Days – December 12th, 2013 10 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 11 i-GOing 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 H2020 Info Days – December 12th, 2013 12 i-GOing 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 H2020 Info Days – December 12th, 2013 13 i-GOing Mean Bias is below 30 cm in static conditions Test Mean position 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 H2020 Info Days – December 12th, 2013 14 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 H2020 Info Days – December 12th, 2013 15 Agenda Project Overview Indoor location market Project Achievements : accuracy < 1 m Next step H2020 Info Days – December 12th, 2013 16 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 H2020 Info Days – December 12th, 2013 17 i-GOing A system with the required characteristics was built & tested Static and dynamic tests sessions were logged and show that submeter 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 18 Thank You Thierry TORLOTIN [email protected] Arnaud MASSON [email protected] Insiteo Toulouse 23, Bd Victor Hugo 31770 - COLOMIERS
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