Presentation on theme: "3D Laser Scanning Beyond the Project"— Presentation transcript:
13D Laser Scanning Beyond the Project Ron Singh, PLSChief of Surveys/Geometronics ManagerOregon Department of TransportationSPAR ConferenceHouston, Texas17 April, 2012
2Hardware Manufacturers Target AudienceSoftware DevelopersHardware ManufacturersService ProvidersEducatorsThis 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.
3AgendaFuture Transportation Engineering Automation Vision Future Uses for Laser Scanning
4Future Transportation a peek into the future5 minutes
5Future Transportation Issues Expected Problems:Possible Solutions:Increased TrafficIncreased CongestionIncreased Carbon EmissionsIncreased Fuel CostsAging Driver - SafetyAging InfrastructureUrban GrowthIncrease Mass TransportationDevelop Alternative FuelsReduce Need for MobilityIncrease Highway CapacityDevelop Smart Cars and HighwaysRe-think the meaning of
6Imagine 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
7Technology in Vehicles USDOT’s 1997 Intelligent Vehicle Initiative (IVI)Warn DriverRecommend Control ActionsTake Temporary or Partial Automated Control in Hazardous SituationsAssist DriverIncrease SafetyIncrease EfficiencyIncrease ComfortLuxury or Necessity?
8Smart Vehicles… Science Fiction or Reality? Cruise ControlAnti Lock BrakesEngine MonitoringAir BagsDynamic Stability and Traction ControlAnti RolloverGPS NavigationBackup VideoBuilt-in TelephoneEmissions MonitoringTire Pressure MonitoringAdaptive Cruise ControlCollision Warning with Auto BrakeDriver Alert System with Lane Departure WarningLive Traffic InformationLive Weather InformationIntelligent ParkingStreaming Entertainment
9Communication Eras One to One (Personal) One to Many (Broadcast Media) Many to Many (Social Media)Machine to Machine (Connected Cars)Enabling Technologies
10Web Eras Enabling Technologies 1st Generation - Information News2nd Generation - ParticipationYouTubeFacebookTwitter3rd Generation - ServicesCloud ComputingLearning SystemsMachine to MachineWeatherTrafficEnabling Technologies
11Tomorrow’s Vehicles …Autonomous Advanced Positioning and Navigation Lane TrackingNight Vision AssistObstacle/Pedestrian DetectionDedicated Short Range Communications (DSRC)Highway to Vehicle CommunicationVehicle to Vehicle CommunicationSituation Awareness Beyond Capabilities of Human Driver…Autonomous
12Autonomous Vehicles Will not take away human control Reduce driver workloadReliance on on-board sensorsReliance on knowledge of highway geometryCombination of sensors and highway geometry
14Autonomous Vehicle Reality Nevada Governor Signs Driverless Car Bill Into Law – June 2011Provides 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 standardsRequires designated areas where driverless cars may be tested.
15Enablers and Partners Technology Developers Automotive Manufacturers US Department of TransportationState Departments of Transportation
21Present Paper Design Plans Basemap Construction Staking As-Built Plans Project DevelopmentSurveysConstructionStaking100%As-BuiltPlans
22Engineering Automation The Next Twenty Five Years… New ParadigmData-centricReal-time InformationCollaborative EngineeringHighway Infrastructure Lifecycle ManagementAutomated ConstructionIntelligent Vehicles and Highwayswill be…All About Information!
23To Enable This Future Paradigm, we need: To accept disruptive technologiesA complete transformation.To redefine the nature of our work, how it’s conducted, and what we consider final products.To demand standardized data formatsTo collaborate across government agencies and private businessesA “Disruptive Technology” is one that requires changes to long standing established processes.
25Technology Development Curve Accelerating.Lack of Standards.Errors.TechnologyEmerging.Slow to Adopt.Cautious.StableStableStabilizing.Establishing Standards.Change Slowing.DisruptivePeriodTime
26Key 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 SignaturesDocuments and Data
27Key Concepts Structured Data Exchange Engineering Data Management Industry StandardsXMLExtensible and Archive-able Open FormatEngineering Data ManagementEngineering Content ManagementCollaborationFile Access ControlTraceableWorkflow ManagementReview/RedlineCheck-in Check-out
28Key Concepts Engineering Data Management (cont’d) Version ControlStandards CheckingArchivingGeospatial SearchInfrastructure Life Cycle ManagementDevelop and maintain engineering data for the life cycle of all highwaysAsset ManagementCollect Legacy DataCapture Engineering Data as it is Created
29Key Concepts Post Construction Surveys Dynamic Documents Replace As-Built PlansComplete 3D Engineered ModelDynamic DocumentsGIS/Engineering Data IntegrationOn-Demand AssemblyRobust IT InfrastructureSuper UtilityNo single point of failure could bring the system downWireless Communication
30Key Concepts Real Time Networks (active control) Improved Coordinate SystemLow Distortion Projections (today)Earth Centered Earth Fixed Coordinates without Projections (future)3D Point Cloud DataIndustry Standards – ASTM E57Point Level MetadataHigh Compression (Lossless)Intelligent (classification, material, increased observables)
31Key ConceptsHigh Resolution (vertical and oblique) Ortho-rectified ImageryFull 3D/4D/5D DesignVisualizationConstruction AutomationConstruction Machine Guidance and ControlInspection ToolsEnhanced use of GPS (RTN, IMU)Remote Construction Site MonitoringMaterials Delivery and Certification
35Technology Development Curve Accelerating.Lack of Standards.Errors.Emerging.Slow to Adopt.Cautious.StableStableStabilizing.Establishing Standards.Change Slowing.DisruptivePeriod
36Laser Scanning (Civil Engineering) Making it fit the old paradigm!Determining Uses.We’re somewhere hereDisruptivePeriodExperimenting.
37Point Clouds (for projects) Full Utilization of Information Rich Point CloudsFrom “BaseMap” to “Virtual World”No Traditional (Triangulated) DTMCritical 3D Objects:Mathematically Modeled (geometric solid object)Mesh Modeled (reality, imperfect, discreet objects)3D Feature Extraction ONLY Where Necessary for DesignCertified by Professional of Record
38Point Clouds (as an asset) Virtual Highway CorridorsInformation Rich Point CloudsAerial and Oblique ImageryEngineering Accuracy/QualityProgrammatic Approach (statewide, cyclic)Updated by Project As-Built Post Construction Surveys
39Point Clouds (as an asset) Integrated w/GISEngineering AlignmentsRight-of-Way BoundariesAsset InventoryPavement ConditionsReplacement for Video LogSafety AnalysisAccident Reconstruction Survey (streamline)Oversize Vehicle Routing
40Thank You! Ron Singh, PLS Chief of Surveys/Geometronics Manager Oregon Department of TransportationIf 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