Presentation on theme: "Ron Singh, PLS Chief of Surveys/Geometronics Manager Oregon Department of Transportation SPAR Conference Houston, Texas 17 April, 2012."— Presentation transcript:
Ron Singh, PLS Chief of Surveys/Geometronics Manager Oregon Department of Transportation SPAR Conference Houston, Texas 17 April, 2012
2 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. Target Audience Software Developers Hardware Manufacturers Service Providers Educators Target Audience Software Developers Hardware Manufacturers Service Providers Educators
Increase Mass Transportation Develop Alternative Fuels Reduce Need for Mobility Increase Highway Capacity Develop Smart Cars and Highways Re-think the meaning of EXPECTED PROBLEMS: POSSIBLE SOLUTIONS: Increased Traffic Increased Congestion Increased Carbon Emissions Increased Fuel Costs Aging Driver - Safety Aging Infrastructure Urban Growth 5
More Highways? More Lanes? Faster Vehicles? Safer Vehicles? Smarter Vehicles? Smarter Highways? Self Driving (autonomous) Vehicles? 6 If I would have asked my customers what they wanted, they would have said…a faster horse. Henry Ford If I would have asked my customers what they wanted, they would have said…a faster horse. Henry Ford
USDOTs 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? 7
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 8 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
One to One (Personal) One to Many (Broadcast Media) Many to Many (Social Media) Machine to Machine (Connected Cars) 9 Enabling Technologies
1 st Generation - Information News 2 nd Generation - Participation YouTube Facebook Twitter 3 rd Generation - Services Cloud Computing Learning Systems Machine to Machine Weather Traffic 10 Enabling Technologies
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 11 …Autonomous
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 12
13 Autonomous Vehicles
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.
Technology Developers Automotive Manufacturers US Department of Transportation State Departments of Transportation 15
16 15 minutes
Factual information Numbers Characters Measurements Output from devices Used as a basis for reasoning and calculation
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
The result of processing, manipulating and organizing data in a way that adds to the knowledge of the person receiving it.
Project Development Surveys Basemap Design Construction Staking As-Built Plans Paper Plans 100%
New Paradigm Data-centric Real-time Information Collaborative Engineering Highway Infrastructure Lifecycle Management Automated Construction Intelligent Vehicles and Highways 22 will be… All About Information! will be… All About Information!
To accept disruptive technologies A complete transformation. To redefine the nature of our work, how its 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 Technology Current Future
25 Technology Development Curve Emerging. Slow to Adopt. Cautious. Emerging. Slow to Adopt. Cautious. Stabilizing. Establishing Standards. Change Slowing. Stabilizing. Establishing Standards. Change Slowing. Stable Disruptive Period Accelerating. Lack of Standards. Errors. Accelerating. Lack of Standards. Errors. Time Technology
Digital Data 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
Structured Data Exchange 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
Engineering Data Management (contd) 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
Post Construction Surveys 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
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)
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
Project Development Surveys Virtual Site 3D Design Construction Staking As-Built Survey Digitally Signed Data 20% Machine Control Digital Signature Engineering Data Archive 80% Digital Signature
10 minutes 34
35 Technology Development Curve Emerging. Slow to Adopt. Cautious. Emerging. Slow to Adopt. Cautious. Stabilizing. Establishing Standards. Change Slowing. Stabilizing. Establishing Standards. Change Slowing. Stable Disruptive Period Accelerating. Lack of Standards. Errors. Accelerating. Lack of Standards. Errors.
36 Laser Scanning (Civil Engineering) Experimenting. Disruptive Period Were somewhere here Determining Uses. Making it fit the old paradigm!
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 37
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 38
40 Ron Singh, PLS Chief of Surveys/Geometronics Manager Oregon Department of Transportation 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 doesnt sound like science fiction, then its definitely wrong. Chris Peterson If a thirty-year projection sounds like science fiction, it may be wrong… If it doesnt sound like science fiction, then its definitely wrong. Chris Peterson