Roadway Center Line and Feature Extraction Remote Sensing in Transportation August 2001 HSA Consulting Group, Inc. Presentation to the National Consortium on District Three Florida DOT Presented by Hosted by UCSB

Background  Genesis of FDOT District Three Project  Use of RTK GPS to Develop Roadway Centerline  Initial Vision  Use Remote Sensing(Aerial Photography) to Collect RCI Data and Link X,Y,Z to Mileposts and Link X,Y,Z to Mileposts  Development of Stereoscopic Data Base  Expanded Vision  Use 3D Database for Transportation Data Management for Multiple Units in FDOT for Multiple Units in FDOT

Spatial Data Process for Center Line and Roadway Feature Extraction Center Line and RCI Feature Extraction Spatial Data Production Aerial Production Raw Digital Aerial Data Processed Digital Stereo Imagery Stereoscopic Data Collection Tool

Spatial Data Process for Center Line and Roadway Feature Extraction Inventory Line And RCI Feature Extraction Spatial Data production Aerial Production Raw Digital Aerial Data Processed Digital Stereo Imagery On & Off System Imagery/ RCI Database

Spatial Data Process for Inventory Line and Roadway Feature Extraction Inventory Line And RCI Feature Extraction Spatial Data production Aerial Production Raw Digital Aerial Data Processed Digital Stereo Imagery On & Off System Imagery/ RCI Database

Spatial Data Process for Center Line and Roadway Feature Extraction Inventory Line And RCI Feature Extraction Spatial Data production Aerial Production Raw Digital Aerial Data Processed Digital Stereo Imagery On & Off System Imagery/ RCI Database

Spatial Data Process for Center Line and Roadway Feature Extraction Processed Digital Stereo Imagery Stereoscopic Data Collection Tool Center Line and RCI Feature Extraction Spatial Data Production Aerial Production Raw Digital Aerial Data

Spatial Data Process for Center Line and Roadway Feature Extraction Raw Digital Aerial Data Image is Not Yet Controlled or Geo-coded.

Spatial Data Process for Center Line and Roadway Feature Extraction Center Line and RCI Feature Extraction Spatial Data Production Aerial Production Raw Digital Aerial Data Processed Digital Stereo Imagery Stereoscopic Data Collection Tool

Spatial Data Process for Center Line and Roadway Feature Extraction Inventory Line And RCI Feature Extraction Spatial Data production Processed Digital Stereo Imagery On & Off System Imagery/ RCI Database Spatial Data Production   Apply Ground Control   Receive ground control information from the flight crew (camera position data, flight height, focal length, camera calibration report, etc.)   Receive ground control information from the GPS crew   Apply Aerotriangulation (AT) Solution   Determine the relationship between the camera and the ground   Perform (AT) solution to achieve highly accurate resection solution Spatial Data Production

Spatial Data Process for Center Line and Roadway Feature Extraction Inventory Line And RCI Feature Extraction Spatial Data production Processed Digital Stereo Imagery On & Off System Imagery/ RCI Database Spatial Data Production

Geospatial Positioning Accuracy Standards Part 3: National Standard for Spatial Data Accuracy FGDC-STD Subcommittee for Base Cartographic Data Federal Geographic Data Committee Use the “compiled to meet” statement below when the above guidelines for testing by an independent source of higher accuracy cannot be followed and an alternative means is used to evaluate accuracy. Report accuracy at the 95% confidence level for data produced according to procedures that have been demonstrated to produce data with particular horizontal and vertical accuracy values as: Compiled to meet ____ (meters, feet) horizontal accuracy at 95% confidence level ____ (meters, feet) vertical accuracy at 95% confidence level Report accuracy for data tested for horizontal accuracy and produced according to procedures that have been demonstrated to comply with a particular vertical accuracy value as: Tested ____ (meters, feet) horizontal accuracy at 95% confidence level Compiled to meet ____ (meters, feet) vertical accuracy at 95% confidence level For digital geospatial data, report the accuracy value in digital geospatial metadata (Federal Geographic Data Committee, 1998, Section 2), as appropriate to dataset spatial characteristics: (Data_Quality_Information/Positional_Accuracy/Horizontal_Positional_Accuracy/Horizontal_Positional_Accuracy_Assessment/Horizontal_Positional_Accuracy_Value) and/or (Data_Quality_Information/Positional_Accuracy/Vertical_Positional_Accuracy/Vertical_Positional_Accuracy_Assessment/Vertical_Positional_Accuracy_Value) Enter the text “National Standard for Spatial Data Accuracy” for these metadata elements (Federal Geographic Data Committee, 1998, Section 2), as appropriate to dataset spatial characteristics: (Data_Quality_Information/Positional_Accuracy/Horizontal_Positional_Accuracy/Horizontal_Positional_Accuracy_Assessment/Horizontal_Positional_Accuracy_Explanation) and/or (Data_Quality_Information/Positional_Accuracy/Vertical_Positional_Accuracy/Vertical_Positional_Accuracy_Assessment/Vertical_Positional_Accuracy_Explanation) (Data_Quality_Information/Positional_Accuracy/Horizontal_Positional_Accuracy/Horizontal_Positional_Accuracy_Report) and/or (Data_Quality_Information/Positional_Accuracy/Vertical_Positional_Accuracy/Vertical_Positional_Accuracy_Report)

Spatial Data Process for Center Line and Roadway Feature Extraction Center Line and RCI Feature Extraction Spatial Data Production Aerial Production Raw Digital Aerial Data Processed Digital Stereo Imagery Stereoscopic Data Collection Tool

Spatial Data Process for Center Line and Roadway Feature Extraction Processed Digital Stereo Imagery Each pixel is geo-coded to an accuracy level of 8 centimeters x,y,z.

Spatial Data Process for Center Line and Roadway Feature Extraction Center Line and RCI Feature Extraction Spatial Data production Aerial Production Raw Digital Aerial Data Processed Digital Stereo Imagery Stereoscopic Data Collection Tool

Spatial Data Process for Center Line and Roadway Feature Extraction Center Line and RCI Feature Extraction Develop 3D Center Line Linked to Mileposts  Using Stereoscopic Desktop Tool, Navigate Within Imagery to Coordinates Along Roadway Centerline  Store X,Y,Z Data Points On the Center Line, Automatically Linking to Linear Milepost References  Calculate Total Length of Roadway Sections, by Capturing Changes in Horizontal and Vertical Curvature  Extract RCI Features Along the Center Line, Storing the Spatial and Linear Position in an Access Data Base

Spatial Data Process for Center Line and Roadway Feature Extraction Center Line and RCI Feature Extraction

Desktop Stereo Measurement

Spatial Data Process for Center Line and Roadway Feature Extraction Center Line and RCI Feature Extraction

Spatial Data Process for Center Line and Roadway Feature Extraction Center Line and RCI Feature Extraction

Digital Extraction of RCI Data NITESTAR Traditional DMI Method Non-Traditional Digital Method Straight Line Diagram of Roadway

Spatial Data Process for Center Line and Roadway Feature Extraction Stereoscopic Data Collection Tool PC-Based Desktop Stereoscopic Tool

Center Line Extraction

Centerline and Feature Extraction 3D Demonstration  Using Stereoscopic Desktop Tool, Navigate Within Imagery to Coordinates Along Roadway Centerline  Store X,Y,Z Data Points On the Center Line, Automatically Linking to Linear Milepost References  Calculate Total Length of Roadway Sections by Capturing Changes in Horizontal and Vertical Curvature Capturing Changes in Horizontal and Vertical Curvature  Extract RCI Features Along the Center Line, Storing the Spatial and Linear Position in an Access Data Base TransDat - TransView

R3D Data Production Costs Aerial Photography - $ 53 per C/L Mile Scanning/Film Processing - $ 111 per C/L Mile Ground Control - $ 511 per C/L Mile AT - $ 250 per C/L Mile Create Roadway 3D Dataset, And Extract Center Line - $ 225 per C/L Mile Roadway Feature Extraction - $ 65 per C/L Mile Total Cost Per Mile: $1215 per C/L Mile

Leveraging Data Acquisition and Use CO Planning Project Development Design Traffic Operations Construction & Maintenance Safety Location & Right-of-Way Surveying & Mapping TranStat Systems Systems Planning Project Development Design Traffic Operations Construction & Maintenance Safety Location & Right-of-Way Surveying & Mapping TranStat

Summary  The Initial Vision of FDOT District Three was use of High Resolution Aerial Photography to Generate Spatial Data for Developing a Highly Accurate Roadway Centerline.  The HSA Consulting Team Developed a Stereoscopic Feature Extraction and Measurement Tool Which Allowed Mileposts to be Linked to X,Y,Z Coordinates Along the Roadway Centerline.  Successfully Linking the Department’s Linear Referencing System to Three-Dimensional Coordinates Resulted in an Expanded Vision: 1. Linking the Stereoscopic Imagery to Other 3D Databases 2. Linking Aerial Data with Other Perspectives Such as Video Logs 3. Expanding the Functionality of the Stereoscopic Data Collection Tool to Serve as an Integrated Transportation Data System