Low Cost Road Condition Mapping for Sustainable Road Maintenance in - - PowerPoint PPT Presentation

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Low Cost Road Condition Mapping for Sustainable Road Maintenance in - - PowerPoint PPT Presentation

Low Cost Road Condition Mapping for Sustainable Road Maintenance in Uganda Gerhard Bax (BTH, Sweden), Lydia Mazzi Kayondo Ndandiko (Makerere, Uganda), Sandy Stevens Tickodri Togboa(Makerere, Uganda), Lndandiko@gmail.com Presentation Outline


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SLIDE 1

Low Cost Road Condition Mapping for Sustainable Road Maintenance in Uganda

Gerhard Bax (BTH, Sweden), Lydia Mazzi Kayondo – Ndandiko (Makerere, Uganda), Sandy Stevens Tickodri‐Togboa(Makerere, Uganda), Lndandiko@gmail.com

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SLIDE 2

Presentation Outline

  • Background
  • Method
  • Concept
  • Conclusion
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SLIDE 3

Background

  • Value for a good transportation network
  • Combined road, air, rail & water
  • Uganda and its problems

–Land locked country –Rail ?:/@?<>!? –Road maintenance :/@?<>!?

Road Type Length of Road (KM) National 20,800 District 17,500 Urban 4,300 Community Access 30,000

  • Statistics
  • Focus –

Robust road condition documentation

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SLIDE 4

The Method

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SLIDE 5

Field Map Document

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SLIDE 6

The Gadgets

  • 2. Microsoft Kinect TM
  • 1. Contour GPS Camera
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SLIDE 7

Why the Contour GPS Camera

  • No common standard to geotag video
  • Popularity of video log data collection

technologies.

  • A variety of platforms for navigation and

mapping sensors

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SLIDE 8

Screenshot of a Contour GPS video by storyteller

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SLIDE 9

Microsoft Kinect TM

  • Xbox 360 video game console
  • Capability to sense depth
  • 2010 version
  • Asus Xtion PROTM

that has a higher frame rate (60 instead of 30 frames /sec)

  • Infrared and RGB Cameras
  • Storage

‐ Depth maps‐ 16 bit or, ‐ 24 bit point clouds

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SLIDE 10

Mapping Roads in Jinja ‐ Uganda

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SLIDE 11

Depth map (screen dump) of a road pothole registered with the Kinect via software RGBDemo

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SLIDE 12

The Concept

  • Focus on method rather than tools (STI)
  • Concept

– GPS positioning + Video – Volume estimates thru 3D scanning

  • No prior GIS Knowledge required
  • GIS ready information obtained
  • More objective estimation of measurements by

experts.

  • Time series studies to monitor potential degradation.
  • Integration of these data in a dedicated GIS is

necessary for road maintenance decision support.

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SLIDE 13

Conclusions

1. Up‐to‐date & continuous accumulation of spatial video databases for routine & periodic maintenance decisions‐ based on road inventory and condition data. 2. Sustainable approach ‐ utilizes low cost equipment that can be mounted on any vehicle and ‐

  • perated without special

training of the patrolling personnel.

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SLIDE 14

Thank you Thank you for listening! for listening! Questions? Questions?