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Mobile Multi-Sensor Geomatics (M2G) Systems – The New Trend in Mapping and GIS applications

Mobile Multi-Sensor Geomatics (M2G) Systems – The New Trend in Mapping and GIS applications. Dr. Naser El-Sheimy, PEng, CRC Associate Professor and Interim Head Mobile Multi-Sensor Research Group Chair FIG WG C5.3 “Integrated Positioning, Navigation and Mapping Systems”

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Mobile Multi-Sensor Geomatics (M2G) Systems – The New Trend in Mapping and GIS applications

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  1. Mobile Multi-Sensor Geomatics (M2G) Systems – The New Trend in Mapping and GIS applications Dr. Naser El-Sheimy, PEng, CRC Associate Professor and Interim Head Mobile Multi-Sensor Research Group Chair FIG WG C5.3 “Integrated Positioning, Navigation and Mapping Systems” Vice Chair IAG WG Sc4.1 “Mobile Multi-Sensor System”

  2. Contents • Mobile Multi-Sensor Systems • Motivation for their development • Components of MMS • Examples of MMS • Land • Air • Portable

  3. Mobile Mapping Systems (MMS) • Multi-sensor systems that integrate various navigation and remote sensors on a common platform • Typical platforms are vans and airplanes • Capitalise on the strengths of the individual technologies to increase efficiency of data collection • Development motivated by demand for rapid and cost effective data acquisition systems and availability of integrated navigation systems (GPS/INS)

  4. Components of MMS Sensors Vehicles Applications Mapping DTM Environmental Monitoring GIS Machine Control Accident Investigation

  5. S-VHS Camera GPS Antenna 8 Digital Cameras INS Land Based Systems: The VISAT Van

  6. GPS Antenna SVHS INS 8 Cameras The VISAT Van

  7. Post-Processing – GPS/INS Processing The GPS and INS data is processed via Klman Filtering Integration processorto create a Georeferencing File that contains the system position and attitude at a frequency of 50 – 200 Hz. INS GPS

  8. Post-Processing – Image Georeferencing Each individual image is then tagged with a position and attitude based on the capture time. The result is a georeferenced image database.

  9. Accuracy of the VISAT System GPS/INS mode INS stand-alone mode

  10. WADGPS WADGPS Thermal Camera Real Time Forest Fire Fighting (F3) • Real-time reporting of the exact situation of fires • Assisting the Forest Fire Information Centers in accurately assessing the fire • Precisely directing water-bombers and fire-fighting crews

  11. Spotter aircraft WADGPS Hot spot/Fire is detected at Position ? Water Bombers FFIS F3 - Operational Overview

  12. AHARS Video Camera WADGPS INS Thermal Camera F3 – Prototype Hardware Components

  13. m m b b R (t) R (t) R R b b S S b b GPS antenna GPS antenna a a GPS GPS t t+1 t+n INS b-frame INS b-frame b b a a S-frame S-frame F3 - System Concept

  14. Real-time Detection of Forest Fires and Hotspots Original Thermal Images Detected Fires and Hotspots

  15. Test Area - Bowness Park Picnic Sites, Calgary Target Hot Spots System Testing

  16. Night Flight Test Path System Testing

  17. F3 System Accuracy Horizontal RMS of 8 m

  18. Backpack GPS/GIS Systems • Advantages • Little skill required • High absolute accuracy • Possible integration with other sensors, e.g. speech recognition and digital cameras, etc. • Disadvantages • Not suitable in urban centers or forested areas • Point information only

  19. Mobile Data Acquisition

  20. Data Acquisition Portable MMS - System Overview (1)

  21. Portable MMS - System Overview (2) Image 1 Image 2 3-D coordinates Anchor 1 Anchor 2

  22. Leica DMC Attitude Sensor – Leica DMC • 3 MEMs Accelerometers • 3 Magnetic sensors • Angle Accuracies: • Azimuth – 0.5° • Roll/Pitch – 0.15° • 3 cm  3 cm 1.5 cm • Lightweight, low power consumption • RS-232 Output

  23. Digital Camera • Takes digital images and stores them internally GPS Antenna Logging Computer Flash signal at time of exposure • Records continuous measurements of position and attitude angles • Records times of exposures GPS Receiver Roll, pitch and azimuth angles • Measures positions • Time-tags attitude angles • Marks times of exposures Digital Compass / Inclinometer • Measures attitude angles System Configuration

  24. System testing over a “typical” urban environment Surveyed using total station, GPS, close-range photo-grammetry System Testing – Target Field

  25. Mapping Accuracy • Absolute accuracies similar to L1 RTK GPS • Much of the error – particularly in height – is a bias • Relative error is smaller 3 Images, 10-12 image point measurements

  26. Conclusions 1. MMS are becoming an emerging trend because of : • Market demands for efficient ways of data collection and • A technology push due to new imaging and navigation hardware. 2. Multi-sensor systems are characterized by : • Tight sensor integration during the measurement process (synchronization on common platform). • A total solution approach (no external control needed). • Georeferencing by INS/GPS as the core mathematical technique. 3. Other Important aspects of MMS are : • Data fusion with the goal of minimizing the total error budget. • Implementation of MMS for real-time applications. • Automation of post-mission processing be eliminating operator interaction. • Efficient manipulation of large data sets.

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