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3D Laser Scanning Beyond the Project

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Presentation on theme: "3D Laser Scanning Beyond the Project"— Presentation transcript:

1 3D Laser Scanning Beyond the Project
Ron Singh, PLS Chief of Surveys/Geometronics Manager Oregon Department of Transportation SPAR Conference Houston, Texas 17 April, 2012

2 Hardware Manufacturers
Target Audience Software Developers Hardware Manufacturers Service Providers Educators This presentation will discuss the various elements of highway engineering automation and propose full utilization of information rich 3D point cloud data - beyond the project and into the life cycle management of the highway corridor.

3 Agenda Future Transportation Engineering Automation Vision Future Uses for Laser Scanning

4 Future Transportation
a peek into the future 5 minutes

5 Future Transportation Issues
Expected Problems: Possible Solutions: Increased Traffic Increased Congestion Increased Carbon Emissions Increased Fuel Costs Aging Driver - Safety Aging Infrastructure Urban Growth Increase Mass Transportation Develop Alternative Fuels Reduce Need for Mobility Increase Highway Capacity Develop Smart Cars and Highways Re-think the meaning of

6 Imagine the Year 2037 More Highways? More Lanes? Faster Vehicles?
Safer Vehicles? Smarter Vehicles? Smarter Highways? Self Driving (autonomous) Vehicles? “If I would have asked my customers what they wanted, they would have said…a faster horse.” Henry Ford

7 Technology in Vehicles
USDOT’s 1997 Intelligent Vehicle Initiative (IVI) Warn Driver Recommend Control Actions Take Temporary or Partial Automated Control in Hazardous Situations Assist Driver Increase Safety Increase Efficiency Increase Comfort Luxury or Necessity?

8 Smart Vehicles… Science Fiction or Reality?
Cruise Control Anti Lock Brakes Engine Monitoring Air Bags Dynamic Stability and Traction Control Anti Rollover GPS Navigation Backup Video Built-in Telephone Emissions Monitoring Tire Pressure Monitoring Adaptive Cruise Control Collision Warning with Auto Brake Driver Alert System with Lane Departure Warning Live Traffic Information Live Weather Information Intelligent Parking Streaming Entertainment

9 Communication Eras One to One (Personal) One to Many (Broadcast Media)
Many to Many (Social Media) Machine to Machine (Connected Cars) Enabling Technologies

10 Web Eras Enabling Technologies 1st Generation - Information
News 2nd Generation - Participation YouTube Facebook Twitter 3rd Generation - Services Cloud Computing Learning Systems Machine to Machine Weather Traffic Enabling Technologies

11 Tomorrow’s Vehicles …Autonomous Advanced Positioning and Navigation
Lane Tracking Night Vision Assist Obstacle/Pedestrian Detection Dedicated Short Range Communications (DSRC) Highway to Vehicle Communication Vehicle to Vehicle Communication Situation Awareness Beyond Capabilities of Human Driver …Autonomous

12 Autonomous Vehicles Will not take away human control
Reduce driver workload Reliance on on-board sensors Reliance on knowledge of highway geometry Combination of sensors and highway geometry

13 Autonomous Vehicles

14 Autonomous Vehicle Reality
Nevada Governor Signs Driverless Car Bill Into Law – June 2011 Provides that the Nevada Department of Motor Vehicles "shall adopt regulations authorizing the operation of autonomous vehicles on highways within the State of Nevada.“ Setting safety and performance standards Requires designated areas where driverless cars may be tested.

15 Enablers and Partners Technology Developers Automotive Manufacturers
US Department of Transportation State Departments of Transportation

16 Engineering Automation Vision
15 minutes

17 Data Factual information Numbers Characters Measurements
Output from devices Used as a basis for reasoning and calculation

18 Documents Contains information
An actual product of writing or recording Intended to communicate or store collections of data Physical printed pages “Virtual" document in digital format

19 Information The result of processing, manipulating and organizing data in a way that adds to the knowledge of the person receiving it.

20 Reactive Project-centric Approach Survey Maintain Design Construct

21 Present Paper Design Plans Basemap Construction Staking As-Built Plans
Project Development Surveys Construction Staking 100% As-Built Plans

22 Engineering Automation The Next Twenty Five Years…
New Paradigm Data-centric Real-time Information Collaborative Engineering Highway Infrastructure Lifecycle Management Automated Construction Intelligent Vehicles and Highways will be… All About Information!

23 To Enable This Future Paradigm, we need:
To accept disruptive technologies A complete transformation. To redefine the nature of our work, how it’s conducted, and what we consider final products. To demand standardized data formats To collaborate across government agencies and private businesses A “Disruptive Technology” is one that requires changes to long standing established processes.

24 Technology Implementation
Future Technology Current

25 Technology Development Curve
Accelerating. Lack of Standards. Errors. Technology Emerging. Slow to Adopt. Cautious. Stable Stable Stabilizing. Establishing Standards. Change Slowing. Disruptive Period Time

26 Key Concepts Digital Data Digital Signatures
Spatially Enabled (including non-spatial documents) Reliable (quality control) Readable (universal published file formats) Secure (check-in, check-out, revision, privacy, security) Retrievable (backed up) Traceable (metadata) Migrated Forward (media/format obsolescence) Digital Signatures Documents and Data

27 Key Concepts Structured Data Exchange Engineering Data Management
Industry Standards XML Extensible and Archive-able Open Format Engineering Data Management Engineering Content Management Collaboration File Access Control Traceable Workflow Management Review/Redline Check-in Check-out

28 Key Concepts Engineering Data Management (cont’d)
Version Control Standards Checking Archiving Geospatial Search Infrastructure Life Cycle Management Develop and maintain engineering data for the life cycle of all highways Asset Management Collect Legacy Data Capture Engineering Data as it is Created

29 Key Concepts Post Construction Surveys Dynamic Documents
Replace As-Built Plans Complete 3D Engineered Model Dynamic Documents GIS/Engineering Data Integration On-Demand Assembly Robust IT Infrastructure Super Utility No single point of failure could bring the system down Wireless Communication

30 Key Concepts Real Time Networks (active control)
Improved Coordinate System Low Distortion Projections (today) Earth Centered Earth Fixed Coordinates without Projections (future) 3D Point Cloud Data Industry Standards – ASTM E57 Point Level Metadata High Compression (Lossless) Intelligent (classification, material, increased observables)

31 Key Concepts High Resolution (vertical and oblique) Ortho-rectified Imagery Full 3D/4D/5D Design Visualization Construction Automation Construction Machine Guidance and Control Inspection Tools Enhanced use of GPS (RTN, IMU) Remote Construction Site Monitoring Materials Delivery and Certification

32 Proactive Data-centric Approach Construct Design Maintain Survey

33 Future Digitally Signed Data 3D Design Virtual Site Digital Signature
Project Development Surveys Machine Control Construction Staking 20% 80% Engineering Data Archive Digital Signature As-Built Survey

34 3D Laser Scanning Full Utilization
10 minutes

35 Technology Development Curve
Accelerating. Lack of Standards. Errors. Emerging. Slow to Adopt. Cautious. Stable Stable Stabilizing. Establishing Standards. Change Slowing. Disruptive Period

36 Laser Scanning (Civil Engineering)
Making it fit the old paradigm! Determining Uses. We’re somewhere here Disruptive Period Experimenting.

37 Point Clouds (for projects)
Full Utilization of Information Rich Point Clouds From “BaseMap” to “Virtual World” No Traditional (Triangulated) DTM Critical 3D Objects: Mathematically Modeled (geometric solid object) Mesh Modeled (reality, imperfect, discreet objects) 3D Feature Extraction ONLY Where Necessary for Design Certified by Professional of Record

38 Point Clouds (as an asset)
Virtual Highway Corridors Information Rich Point Clouds Aerial and Oblique Imagery Engineering Accuracy/Quality Programmatic Approach (statewide, cyclic) Updated by Project As-Built Post Construction Surveys

39 Point Clouds (as an asset)
Integrated w/GIS Engineering Alignments Right-of-Way Boundaries Asset Inventory Pavement Conditions Replacement for Video Log Safety Analysis Accident Reconstruction Survey (streamline) Oversize Vehicle Routing

40 Thank You! Ron Singh, PLS Chief of Surveys/Geometronics Manager
Oregon Department of Transportation If a thirty-year projection sounds like science fiction, it may be wrong… If it doesn’t sound like science fiction, then it’s definitely wrong. Chris Peterson

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