Unmanned Aircraft for GIS

Transcription

1 Unmanned Aircraft for GIS Fred Judson, GISP UAS Program Director For Documents

2 How It Began (For Me) Slide From 2013 Formalization of GIS in the district. Implementation of Dynamic Temporal Webmapping. Development of advanced GPS asset data collection and management software. National GIS for Strategic Asset Manageme nt group Governme nt Should Look Beyond - Gartner Research Unmanned Aircraft Systems for mapping of existing roadway assets, conditions and contractor complyancy Start of Asset Data Collection Information and Management System (ADCIMS) Construction GPS implementation through innovative constructron contracts for contractor complyancy and asset management Advanced Asset collection through webbased video log software.?

3 ODOT UAS Implementation

4 ODOT UAS Implementation Military's X-47B SenseFly Swinglet CAM Actual Size Compared to the X- 47B For Bombing For Mapping and Photogrammetry Operations

5 ODOT UAS Implementation

6 UAS High Resolution Aerial Photography

7 Natural Disaster Response Ohio s 1 st Emergency COA

8 OH/IN UAS Center & Test Complex Mission Promote UAS in Ohio and Indiana Enabling Flight 18 Active COAs 23 Approved COAs 20 In Various Review Stages 10 Aerostat Waivers Section 333 Activities Vibrant Response Assisted Penn State Police Guardian Shield Performed over 150 flights last year Participating in FAA COE with OSU FAA/AFRL Ground Based Sense and Avoid

9 OH/IN UAS Center & Test Complex - Services Operations Experience Business Requirement Study Operations Analysis Airspace Analysis Crew Qualifications COA/333 Preparation/Submission UAS Research Independent Safety Review Board Flight Readiness Review Flight Operations FAA Reporting Data Processing

10 Flight Operations Flight Public COA Section 333 Civil COA

11 UAS Activities Newest 333 Are Mostly Standardized 1120 Approved Airframes Companies with 333 s Ohio 105 Indiana 58 Registered UAS for Commercial Use Ohio 77 39% DJI 38% Government Indiana 59

12 Manual UAS Autonomous Drone Technology Automated Flight (Automatous) Human- Operated Human- Delegated Human- Supervised Human- On-The- Loop Human- Out-Of- The-Loop

13 UAS for Mapping One of drones many boons is to democratize the process of mapmaking. They are far cheaper than the mapmaking technologies they replace. Enables end users Disrupts Traditional Services Name Platform Software Sensor AGL Accuracy Findings Date Baseline Surveys Ltd. C-Astral Bramor Agisoft Photoscan Sony Nex-7 300' Accuracy 95%, 1.6" horizontal, 2.7" vertical Sept Institute for Sustainable Agriculture MD Agisoft Photoscan Olympus PEN E- PM1 100'- 200' Mean accuracy between 77%-90% Horizontal Mar-14 PIX4D and Helimap Systems Swinglet Cam Socet GXP and Pix4D Canon Ixus 120IS 500' 0.4"-0.59" Horizontal, 0.39" vertical and RMSE 0.04 to 0.07 Sep-11 Canon Digital TU Berlin HiSystems MK Okto Bundler, PMVS2, Photoscan Ixus 100 IS 165' Absolute point cloud deviation= 0.78" 2011 Canon 550D digital 100- Univ. Tasmania TerraLuma UAV Opensource and Custom/MVS (Multiview stereopsis) SLR camera 165' ±0.67" (but never more than 1.02" horizontal, 1.57" vertical) May-12

14 UAS for Mapping Drone Services Low Cost of Entry Job Cost Biased on Risk Geospatial Services Diversity of Services Data Processing Techniques End Users Lowest Cost of Entry Subject Matter Experts Common Factors All Own Drones and Perform Operations at Different Levels Differentiated On Risk Culverts Small Bridges Intersections High Traffic Areas Low Risk End User Geospatial Service Providers Drone Services High Risk

15 Humanitarian Response UAVs Establish clear standards for the responsible use of UAVs Document lessons learned and best practices Provide hands-on UAV training Inform UAV deployments Catalyze research & information sharing By lowering the cost and complexity of aerial mapping property rights, drones can literally put entire communities on the map, enabling them to be counted and formalized so that they can assert their rights and determine their own destinies. New America, Drones and Aerial Observation

16 Structure Investigation What We Want Remove Some Risk Perform Our Tasks Efficiently Provide Added Value Current Issues Regulations Non-participants BLOVS Platform Limitations Sensors Avoidance and GPS Power and Quality Weather Human Perception What We Can Get High Resolution Imagery Typically Difficult to Acquire 3D Modeling Thermal Loading Concrete Delamination

17 UAS for Mapping Potential UAV application areas in surveying tasks Sebastian Siebert, Jochen Teizer Mobile 3D mapping for surveying earthwork projects using an Unmanned Aerial Vehicle (UAV) system Automation in Construction, Volume 41, 2014, j.autcon Name Platform Software Sensor AGL Accuracy Findings Date Baseline Surveys Ltd. C-Astral Bramor Agisoft Photoscan Sony Nex-7 300' Accuracy 95%, 1.6" horizontal, 2.7" vertical Sept Institute for Sustainable Agriculture MD Agisoft Photoscan Olympus PEN E- PM1 100'- 200' Mean accuracy between 77%-90% Horizontal Mar-14 PIX4D and Helimap Systems Swinglet Cam Socet GXP and Pix4D Canon Ixus 120IS 500' 0.4"-0.59" Horizontal, 0.39" vertical and RMSE 0.04 to 0.07 Sep-11 Canon Digital TU Berlin HiSystems MK Okto Bundler, PMVS2, Photoscan Ixus 100 IS 165' Absolute point cloud deviation= 0.78" 2011 Canon 550D digital 100- Univ. Tasmania TerraLuma UAV Opensource and Custom/MVS (Multiview stereopsis) SLR camera 165' ±0.67" (but never more than 1.02" horizontal, 1.57" vertical) May-12

18 Pix4D Mapper Pro Agisoft Photoscan Pro ERDAS IMAGINE Pro GeoApp.UAS (Hexagon Geospatial) Inpho UASMaster (Trimble) Postflight Terra 3D (Sensefly +Pix4D) APS 3D Mapping Suite (Sensefly+Menci) ICE: Image Composite Editor (Microsoft) 2D3 (Catalina) GeoApp.UAS (HexagonGeospatial) Correlator 3D EnsoMOSAIC DroneMaper Mapping/Flight Operations Tips Slow Shutter Speed Unstable Platform Camera Resolution Things in Motion Trees (Wind), Water etc. Little or no Texture Sand, Snow Repeating Texture Forest, Farm Fields Lighting Changes Clouds or Time of Day Not Enough Overlap Different Software Processing Packages Aerial Imagery Low altitude causes greater perspective change causing more post processing to make it look right for things that protrude from the ground. Ability/ Feature Orthomosaic X X X X X X X X X X X Point Cloud X X X X X X X X X X Generation Mesh X X X X Modeling Texture X X X X X Generation Terrestrial X X X X X X X X X X X X Data Aerial Data X X X X X X X X X X X X D D D D D D D C C C C esktop/cloud

19 The Future

20 Drone Diversity

21 Beyond The Orthophoto

22 Questions Fred Judson, GISP UAS Program Director oh.us Updates: Airframes Approved 9 Day approval times for 333 On-line registrations for commercial UAS Blanket COA raised to 400 On target for 06/17/16