Video Based Asset Data Collection at NJDOT

Transcription

1 Video Based Asset Data Collection at NJDOT DEPARTMENT TRANPORTATION JEREY

2 DEPARTMENT TRANPORTATION JEREY Presenters Richard A. Robyak, PE Michael Baker Jr., Inc. GIT Practice Leader Transportation Greg Orvets President, Lambda Tech International Video Based Asset Data Collection at NJDOT 2

3 DEPARTMENT TRANPORTATION JEREY Roadway Roadway Inventories: Manual Data Collection Pen/Pencil Clip-Board w/ Vehicle & DMI 26 F/T Technicians + upervisors Video Based Asset Data Collection at NJDOT 3

4 DEPARTMENT TRANPORTATION JEREY Automated Automated Inventories GeoLink 1995 Automated LD ystem Transportation Data Warehouse 1999 Outsourced 7,100 miles CR 600/700 eries using GeoLink 2001 Local Road Inventory 25,000 miles (3-Consultants) using GeoLink Automated Field Data Collection GeoLink File Automated LD Video Based Asset Data Collection at NJDOT 4

5 DEPARTMENT TRANPORTATION JEREY Departmental Departmental HMM NJDOT is currently rolling out a Highway Maintenance Management ystem Planning Budgeting Work Orders Time heets Material Costs HMM driven by Asset Inventory Video Based Asset Data Collection at NJDOT 5

6 DEPARTMENT TRANPORTATION JEREY MM Inventory North Region: 2002 Multi-pass (3) approach using GeoLink Inventoried 1,000 miles of mainline & 1,700 ramps Collected 18 field attributes Guiderail, Curbs, Inlets, Manholes, Ditches Fences, Attenuators, Culverts, Outfalls Project described in eptember 2002 issue of Public Works magazine Video Based Asset Data Collection at NJDOT 6

7 DEPARTMENT TRANPORTATION JEREY MM MM outh/central Project: RFP requested GeoLink Baker submitted Value Engineering proposal to use video technology Pilot demonstrated value and effectiveness of video technology Video Based Asset Data Collection at NJDOT 7

8 DEPARTMENT TRANPORTATION JEREY Video Video Based Asset Data Collection What is it? Utilizing stereoscopic digital images and advanced software to calculate feature geographic positions and determine attribute values Video Based Asset Data Collection at NJDOT 8

9 DEPARTMENT TRANPORTATION JEREY GPVIION GPVIION pecifications Requirement Camera resolution Image compression and File ize Full Frame Camera etup and View Angles Image header Camera ync Frame Rate GP/IN/DMI Requirement GP Receiver Road Attributes Accuracy View oftware Feature Extraction /W requirements Data Acceptance Road Geometry Notes 1024x768,1280x960 or 1388x1038 JPEG in Real-Time Progressive can Cameras being used AGC and 2 camera sets typical design Assign additional information to each image Part of design Part of design Part of design Part of design egmentation part of procedure Part of design Free viewer Part of design and Available to Baker/NJDOT to use part of QA/QC procedure Automatically calculate as part of GP/IN Processing Video Based Asset Data Collection at NJDOT 9

10 DEPARTMENT TRANPORTATION JEREY How How Does ystem Work? The integrated system includes GP, an inertial navigation system and high resolution, stereo digital cameras Positioning: Combines Differential GP, IN and DMI using the Kalman procedure to provide position and orientation (< 20cm, < 1 degree orientation) tereo Vision for asset mapping to better the 1 m RM Video Based Asset Data Collection at NJDOT 10

11 DEPARTMENT TRANPORTATION JEREY Feature Extraction oftware A state-of of-the-art GI-oriented program. Locate features from images covering up to 60 degrees of panoramic view,, and is designed to meet GI standards Create and modify user definable project information and feature definition files at any time during processing Position visible features with absolute horizontal error of not more than 1 meter at 35 meters in front of the cameras Organizes features in layers with user-selected selected symbols defined as a point, line, polyline or area feature type. Unlimited attributes can be tagged to any feature. Video Based Asset Data Collection at NJDOT 11

12 DEPARTMENT TRANPORTATION JEREY Feature Extraction oftware Cont d Adds, edits or deletes features and attributes upports more than 25 map projects, 174 datum and 4 measurement systems Measures heights, widths and offsets within individual images with a relative linear accuracy of 20 cm at 35 m in front of the cameras. Relative measurements made within 10 meters of the cameras will have a horizontal accuracy of 6 to 10 cm. Exports data to many major GI or CAD systems, including ARC/INFO, Microtation / MGE, AutoCAD ADE, mallworld, Vision, MapInfo as well as relational data bases such as Oracle, Informix, ybase, Access Video Based Asset Data Collection at NJDOT 12

13 DEPARTMENT TRANPORTATION JEREY Video Video Based Asset Data Collection What features can you collect? Any feature that you can see in both digital images igns, mounts, guiderail, inlets, manholes, curb, fences, striping, shoulders, centerlines, etc. Video Based Asset Data Collection at NJDOT 13

14 DEPARTMENT TRANPORTATION JEREY MM outh/central Project 1. Extension of MM North inventory 2. Integrate into LD program and data warehouse 3. Replace HMM legacy data 4. Feed sign fabrication software Video Based Asset Data Collection at NJDOT 14

15 DEPARTMENT TRANPORTATION JEREY igns, igns, Everywhere a ign Traffic Engineering had a strong need for an accurate sign inventory Estimated 300,000 signs under NJDOT jurisdiction No one knows for sure how many or their condition Video Based Asset Data Collection at NJDOT 15

16 DEPARTMENT TRANPORTATION JEREY Benefits of Video Data Collection Collect more features signs, mounts, striping, rumble strips afer data collection One crew running at highway speeds No crash trucks needed Better QA/QC Replace current videotape with digital images Reallocate existing staff to other projects Easily collect new features at a later date from same images Can measure dimensions and offsets of features Video Based Asset Data Collection at NJDOT 16

17 DEPARTMENT TRANPORTATION JEREY Key Key Issues of Video Data Collection Mission Planning/Weather File Management Lots of photos / torage capacity Training & Manuals Missed Features Processing: Pre & Post Accuracy and Compatibility New ERI Data Model Multiple centerlines Integrate with LD ide treets Maintaining the Data Video Based Asset Data Collection at NJDOT 17

18 DEPARTMENT TRANPORTATION JEREY Video Video Based Asset Inventories I IT WORTH IT??? Video Based Asset Data Collection at NJDOT 18

19 DEPARTMENT TRANPORTATION Wrap-Up JEREY Wrap Comments/Questions For More Information: Rick Robyak, Baker (609) Greg Orvets, Lambda Tech (614) Jim Carl, NJDOT (609) Video Based Asset Data Collection at NJDOT 19