Big Data or Data That’s Big · 2018-04-01 · Bridge Deck Area: ~ 50,000 SF HMA Overlay: 1.5”...
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Big Data or Data That’s Big? The Pervasiveness of LiDAR in the Approaches to Engineering MAPPS 2016 Winter Conference
Transcript of Big Data or Data That’s Big · 2018-04-01 · Bridge Deck Area: ~ 50,000 SF HMA Overlay: 1.5”...
Big Data or Data That’s Big?The Pervasiveness of LiDAR in the Approaches to Engineering
MAPPS 2016 Winter Conference
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NATIONAL COOPERATIVE HIGHWAY RESEARCH PROGRAMREPORT 748, Guidelines for the Use of Mobile LIDAR in Transportation Applications,
TRANSPORTATION RESEARCH BOARD 2013
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Combined with the acquisition of panoramic and other imagery over large areas of collection, LiDAR and imagery data becomes quite massive in terms of the individual artifacts of data created within the collection process
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Big data, from Wikipedia
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Big data, from Wikipedia
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Big data, from Wikipedia
Type A
• Design Engineering topographic
• As-built
• Structures and bridge clearance
• Deformation surveys
Type B
• Design Engineering topographic Corridor Study / Planning
• Detailed Asset inventory and management surveys
• Environmental
• Earthwork
• Urban mapping and modeling Coastal zone erosion analysis
Type C
• Preliminary Planning
• Transportation Statistics
• General Asset inventory surveys
*Terrestrial Mobile LiDAR Surveying & Mapping Guidelines - FDOT
Decimal Feet (<0.06’) Feet
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$$$ per mile $ per mile
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Mobile LiDAR overlay showing data voids DTM from Aerial LiDAR
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“One Collection” Approach (LiDAR & Pavement)
Laser Crack Measurement System
Longitudinal profiler (IRI)
Automatic detection of:• Cracks
• Evaluation of rutting
• Macro-texture
• Other road surface features:
• lane markings
• patches
• potholes
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What makes a 3D sensor very good for crack measurement?
Excellent 3D
Accuracy
High Acquisition
Rate
Good Lateral Resolution
LCMS Collects approximately 1 Gigabyte of data per mile
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Right LaneMarking
RANGEDistance between
Sensor and ground (in mm)
INTENSITYLaser intensity
(black = 0, white = 255)
Macro-textureRut
Crack
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26.5’
10’
2’
Wheel Path
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Takes 30 nanoseconds Takes 30 minutes (60 Billion Times Slower)
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Project Facts:Bridge Deck Area: ~ 50,000 SFHMA Overlay: 1.5” – 3.0”GPR Field Testing: 3 Hours, No Lane ClosureVisually Distressed Area = ~ 5%Deteriorated Area by GPR = ~30%Actual Repaired Area = 27%
GPR Surveying Equipment
Contour Plot of Overlay Thickness (in):
Contour Plot of GPR Bridge Deck Deterioration:
Close-Up of GPR Contours with Concrete Repair Locations
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Questions and Answers
Thank You
Contact Information:
Robert Hanson(717) [email protected]
References used in this presentation:• Pole-like Road Object Detection from Mobile LiDAR System using Coarse-to-fine Approach, JSTARS-201500259• Pole-shaped Object Detection Using Mobile LiDAR Data in Rural Road Environments, ISPRS Annals of the
Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume II-3/W5, 2015• Detection and Classification of Pole-like Objects from Mobile Mapping Data, ISPRS Annals of the Photogrammetry,
Remote Sensing and Spatial Information Sciences, Volume II-3/W5, 2015
