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National Aeronautics and Space Administration
Parimal Kopardekar, Ph.D.
Principal Investigator, UAS Traffic Management
Manager, Safe Autonomous System Operations Project
Core Team: Dr. Joey Rios, John Robinson, Dr. Marcus Johnson, Dr.
Thomas Prevot, Dr. Jaewoo Jung, Corey Ippolito, Dr. Chris Belcastro,
and Louis Glaab
Parimal.H.Kopardekar@nasa.gov
• Near-term Goal – Enable initial low-altitude airspace and unmanned aerial system (UAS)
operations with demonstrated safety as early as possible, within 5 years
• Long-term Goal – Accommodate increased UAS operations with highest safety,
efficiency, and capacity as much autonomously as possible (10-15 years)
2
• Cloud-based architecture
• UAS operations will be safer if a UTM system is
available to support the functions associated with
– Airspace management and geofencing
– Weather and severe wind integration
– Predict and manage congestion
– Terrain and man-made objects database and avoidance
– Maintain safe separation
– Allow only authenticated operations
• ANALOGY: Self-driving or person driving a car does not eliminate roads, traffic lights, and rules
• MISSING: Infrastructure to support operations at lower altitudes
3
UTM based on autonomicity,
autonomy, autonomous operations
related to automation
AUTONOMICITY
 Self-configuration
 Self-optimization
 Self-protection
 Self-healing
Appropriate operational data
recording
 Authentication
 Airspace design and geofence
definition
 Weather integration
 Constraint management
 Sequencing and spacing
 Trajectory changes
 Separation management
 Transit points/coordination with
the National Airspace System
 Geofencing design and
adjustments
 Contingency management
Multiple
customers
with differing
mission
needs
LINE-OF-SIGHT TO BEYOND LINE-OF-SIGHT
UAS
1
UAS
2
UAS
3
Low-altitude
Communication,
Navigation, and
Surveillance (CNS)
options including
but not limited to:
• Low-altitude
radar
• Surveillance
coverage (cell
and satellite)
• Navigation
• Communication
Real-time
Weather
& Wind
Weather
& Wind
Predictions
Airspace
Constraints
Transition between UTM and
Air Traffic Management
airspace
Constraints based on
community needs about noise,
sensitive areas, privacy, etc.
3D maps: terrain and
human-made
structures
UAS
Fleet
CHARACTERISTICSSERVICES
Unmanned Aerial System Traffic Management (UTM)
RANGE OF UNMANNED AERIAL SYSTEM (UAS) EQUIPAGE AND DIVERSE MISSIONS
4
Other low-
altitude
operations
• Cloud-based: user accesses through internet
• User generates and files a nominal trajectory
• User or UTM may adjust trajectory for
– Congestion or pre-occupied airspace
– Obstacle or terrain avoidance
– Airspace usability and restrictions. Verifies for
wind/weather forecast and associated airspace
constraints
• Monitors trajectory progress and adjust trajectory, if
needed (contingency could be someone else’s)
• Supports contingency – rescue
• Allocated airspace changes dynamically as needs
and constraints change 5
• UTM research and development driven by
“Builds”
• Each build adds more services and capabilities
6
BUILD 1
• Demo: AUG 2015
• Geo-fencing and
airspace design
• Open/close airspace
for weather
• Basic procedural
separation
• Simple scheduling
• Initial constraint
database
• Demo: OCT 2016
• Dynamic airspace
adjustments
• Demand/Capacity
imbalance
• Initial contingency
management
BUILD 2
• Demo: JAN 2018
• Trajectory
conformance
monitoring
• Web portal for UTM
access
• Heterogeneous
operations
BUILD 3
• Demo: MAR 2019
• Large scale
contingency
management
BUILD 4
• Regulator has a key role in certifying UTM system and operations
• All UTM systems must interoperate
7
Single service provider
for the entire nation such
as a government entity
Single service provider
for the entire nation
provided by a non-
government entity (for
profit or not for profit)
Multiple service providers
by regional areas where
UTM service could be
provided by state/local
government entities
Multiple service providers
by regional areas where
UTM service could be
provided by non-
government entities
POTENTIAL
BUSINESS
MODELS
Traditional ANSP, like the FAA General Aviation flight
service station model
Each state may implement or
delegate to counties/cities
Regional implementations by
various companies
8
• Based upon four risk-based criteria
– Density of people on the ground
– Number of structures on the ground
– Likelihood of manned operations in close proximity
– Number of UAS operations in close proximity
• Each build enables certain types of missions and
provides certain services
• Each build supports the missions and services of the
previous build
• Builds are intended to be developmental milestones,
as well as, self-contained systems
9
• Build 1
– Reservation of airspace
volume
– Over unpopulated land or
water
– Minimal general aviation traffic
in area
– Contingencies handled
manually by UAS pilot
– Enable agriculture, firefighting,
infrastructure monitoring,
mapping use cases amongst
others
• Build 2
– Beyond line-of-sight
– Sparsely populated areas
– Procedures and “rules-of-the
road” separate UAS
– Contingencies alerted to UAS
operator
• Build 3
– Beyond line-of-sight
– Over sparsely populated land
– Some interaction with manned
aircraft
– In-flight separation of UAS
– Some contingencies resolved
– Law enforcement, limited package
delivery, and other use cases
• Build 4
– Beyond line-of-sight
– Urban environments
– Manned aircraft commonplace
– Autonomous separation of UAS
– Large-scale system-wide
contingencies resolved
10
11
• SECURITY SERVICES
– System Health Monitoring
– Vehicle Registration
– User Authentication
– Flight Monitoring
• FLIGHT SERVICES
– Flight Planning
– Scheduling and Demand
Management
– Separation Assurance
– Contingency Management
• INFORMATION SERVICES
– Airspace Definition
– Weather Information
– Terrain and Obstructions
– Traffic Operations
12
UTM Services
UTM
Manager GUI
UTM
Manager
ExternalAPI
External API
UTMAPI
UTM API
Regulatory Agencies
Law Enforcement
Public Access
Community Groups
Hobbyists
General
Public
Air Traffic
Systems
Traffic Management
Systems
ATC System
Command Center
Airport
Tower
Air Traffic
Controllers
Air Traffic
Managers
Terrain Maps
Obstacle Data
Weather Data
Public Safety Data
Airspace Data
NOTAM Data
User Credentials
Vehicle Registration
Vehicle Performance
Precision Agriculture
Public Safety Imaging
Science Missions
ATM Systems
UTM Clients
Data Service
Providers
Other Stakeholders
UAS
UAS
Controllers
Other UTMs
UAS Operations
UAS
Operators
13
• Request for Information for collaborating with NASA
on UTM garnered over 100 responses from
companies, universities, and other government
agencies
• Relationships are non-reimbursable
• Several UAS technology domains represented
– Vehicle manufacturers
– Surveillance technologies
– Control systems
– Mission planning software
– Data providers
14
15
UTM-Client
Communication
• Physical Location: Low altitude Class G airspace
– Outside the Mode-C Veil
– At least 3nmi away from airports, helipads, etc.
– 1,200 feet above ground level (AGL) or lower
• Risk Criteria
– Population Density: only people involved in operation
– Structural Density: only structures related to the operation
– Manned operations: only participating aircraft expected
– UAS Operations: segregated by geofences or time
• Test Constraints
– Within visual line-of-sight of Pilot-in-Command
– During daylight hours
– With visibility greater than one statute mile and clear of clouds
16
• Demonstrate and evaluate advanced UTM
services and UAS operations in high-fidelity
human-in-the-loop (HITL) simulations
• Define human’s roles, responsibilities and
procedures for managing UTM operations
• Perform verification and validation testing of UTM
system prior to field tests
• Simulate complex operations that cannot be done
during the field tests (e.g., urban operations,
September 11th-type scenarios)
17
UAS
Operator/
Controller
Simulation
Viewer
(e.g. Google
Earth)
UAS
Operator/
Controller
Simulation
Viewer
(e.g. Google
Earth)
Simulation
Manager
LVC
Gateway
External
Partner
Simulator
External
Partner Client
Simulation
Gateway
UTM Services
UTMAPI
UTM API
18
19
http://svc-auvsi.org/attendee-information/
http://www.aviationsystemsdivision.arc.nasa.gov/utm/utm2015.shtml/
• Self-regulation: responsible, credible, collaborative
• National UAS Standardized Testing and Recording
(NuSTAR)
• Parallel: Underwriter’s Laboratory, Consumer Reports, JD
Powers
• Credible test bed and scenarios
– Urban, rural, atmospheric conditions (e.g., fog, smog, rain)
– Simulated pets
• Data oriented rating, acceptance, and assurance
• Every UAS vehicle model goes through
• Support UAS manufacturers, consumers, FAA, insurance
companies, and public at large through objective
assessments
• Initial feedback from industry members has been positive
B-2
21
• UTM construct has promise for safe operations
• National and international interest
• Collaboration is welcome: 100+ private sector,
university, and government collaborators
• Field testing and simulations will demonstrate UTM
feasibility
• NUSTAR may enable self-regulation
• Single service provider for the entire nation such as a
government entity
• Single service provider for the entire nation provided by a
non-government entity (for profit or not for profit)
• Multiple service providers by regional areas where UTM
service could be provided by state/local government
entities
– Needs to be connected and compatible
• Multiple service providers by regional areas where UTM
service could be provided by non-government entities
– Needs to be connected and compatible
• Regulator has a key role in certifying UTM system and
operations
B-1
• National UAS Standardized Testing and Recording
(NuSTAR)
• Parallel: Underwriter’s Laboratory, Consumer Reports, JD
Powers
• Credible test bed and scenarios
– Urban, rural, atmospheric conditions (e.g., fog, smog, rain)
– Simulated pets
• Data oriented rating, acceptance, and assurance
• Every UAS vehicle model goes through
• Support UAS manufacturers, consumers, FAA, insurance
companies, and public at large through objective
assessments
• Initial feedback from industry members has been positive
• Your feedback is requested
B-2
The Small Unmanned
Systems Business
Exposition 2015

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Parimal Kopardekar, NASA

  • 1. National Aeronautics and Space Administration Parimal Kopardekar, Ph.D. Principal Investigator, UAS Traffic Management Manager, Safe Autonomous System Operations Project Core Team: Dr. Joey Rios, John Robinson, Dr. Marcus Johnson, Dr. Thomas Prevot, Dr. Jaewoo Jung, Corey Ippolito, Dr. Chris Belcastro, and Louis Glaab Parimal.H.Kopardekar@nasa.gov
  • 2. • Near-term Goal – Enable initial low-altitude airspace and unmanned aerial system (UAS) operations with demonstrated safety as early as possible, within 5 years • Long-term Goal – Accommodate increased UAS operations with highest safety, efficiency, and capacity as much autonomously as possible (10-15 years) 2
  • 3. • Cloud-based architecture • UAS operations will be safer if a UTM system is available to support the functions associated with – Airspace management and geofencing – Weather and severe wind integration – Predict and manage congestion – Terrain and man-made objects database and avoidance – Maintain safe separation – Allow only authenticated operations • ANALOGY: Self-driving or person driving a car does not eliminate roads, traffic lights, and rules • MISSING: Infrastructure to support operations at lower altitudes 3
  • 4. UTM based on autonomicity, autonomy, autonomous operations related to automation AUTONOMICITY  Self-configuration  Self-optimization  Self-protection  Self-healing Appropriate operational data recording  Authentication  Airspace design and geofence definition  Weather integration  Constraint management  Sequencing and spacing  Trajectory changes  Separation management  Transit points/coordination with the National Airspace System  Geofencing design and adjustments  Contingency management Multiple customers with differing mission needs LINE-OF-SIGHT TO BEYOND LINE-OF-SIGHT UAS 1 UAS 2 UAS 3 Low-altitude Communication, Navigation, and Surveillance (CNS) options including but not limited to: • Low-altitude radar • Surveillance coverage (cell and satellite) • Navigation • Communication Real-time Weather & Wind Weather & Wind Predictions Airspace Constraints Transition between UTM and Air Traffic Management airspace Constraints based on community needs about noise, sensitive areas, privacy, etc. 3D maps: terrain and human-made structures UAS Fleet CHARACTERISTICSSERVICES Unmanned Aerial System Traffic Management (UTM) RANGE OF UNMANNED AERIAL SYSTEM (UAS) EQUIPAGE AND DIVERSE MISSIONS 4 Other low- altitude operations
  • 5. • Cloud-based: user accesses through internet • User generates and files a nominal trajectory • User or UTM may adjust trajectory for – Congestion or pre-occupied airspace – Obstacle or terrain avoidance – Airspace usability and restrictions. Verifies for wind/weather forecast and associated airspace constraints • Monitors trajectory progress and adjust trajectory, if needed (contingency could be someone else’s) • Supports contingency – rescue • Allocated airspace changes dynamically as needs and constraints change 5
  • 6. • UTM research and development driven by “Builds” • Each build adds more services and capabilities 6 BUILD 1 • Demo: AUG 2015 • Geo-fencing and airspace design • Open/close airspace for weather • Basic procedural separation • Simple scheduling • Initial constraint database • Demo: OCT 2016 • Dynamic airspace adjustments • Demand/Capacity imbalance • Initial contingency management BUILD 2 • Demo: JAN 2018 • Trajectory conformance monitoring • Web portal for UTM access • Heterogeneous operations BUILD 3 • Demo: MAR 2019 • Large scale contingency management BUILD 4
  • 7. • Regulator has a key role in certifying UTM system and operations • All UTM systems must interoperate 7 Single service provider for the entire nation such as a government entity Single service provider for the entire nation provided by a non- government entity (for profit or not for profit) Multiple service providers by regional areas where UTM service could be provided by state/local government entities Multiple service providers by regional areas where UTM service could be provided by non- government entities POTENTIAL BUSINESS MODELS Traditional ANSP, like the FAA General Aviation flight service station model Each state may implement or delegate to counties/cities Regional implementations by various companies
  • 8. 8
  • 9. • Based upon four risk-based criteria – Density of people on the ground – Number of structures on the ground – Likelihood of manned operations in close proximity – Number of UAS operations in close proximity • Each build enables certain types of missions and provides certain services • Each build supports the missions and services of the previous build • Builds are intended to be developmental milestones, as well as, self-contained systems 9
  • 10. • Build 1 – Reservation of airspace volume – Over unpopulated land or water – Minimal general aviation traffic in area – Contingencies handled manually by UAS pilot – Enable agriculture, firefighting, infrastructure monitoring, mapping use cases amongst others • Build 2 – Beyond line-of-sight – Sparsely populated areas – Procedures and “rules-of-the road” separate UAS – Contingencies alerted to UAS operator • Build 3 – Beyond line-of-sight – Over sparsely populated land – Some interaction with manned aircraft – In-flight separation of UAS – Some contingencies resolved – Law enforcement, limited package delivery, and other use cases • Build 4 – Beyond line-of-sight – Urban environments – Manned aircraft commonplace – Autonomous separation of UAS – Large-scale system-wide contingencies resolved 10
  • 11. 11
  • 12. • SECURITY SERVICES – System Health Monitoring – Vehicle Registration – User Authentication – Flight Monitoring • FLIGHT SERVICES – Flight Planning – Scheduling and Demand Management – Separation Assurance – Contingency Management • INFORMATION SERVICES – Airspace Definition – Weather Information – Terrain and Obstructions – Traffic Operations 12
  • 13. UTM Services UTM Manager GUI UTM Manager ExternalAPI External API UTMAPI UTM API Regulatory Agencies Law Enforcement Public Access Community Groups Hobbyists General Public Air Traffic Systems Traffic Management Systems ATC System Command Center Airport Tower Air Traffic Controllers Air Traffic Managers Terrain Maps Obstacle Data Weather Data Public Safety Data Airspace Data NOTAM Data User Credentials Vehicle Registration Vehicle Performance Precision Agriculture Public Safety Imaging Science Missions ATM Systems UTM Clients Data Service Providers Other Stakeholders UAS UAS Controllers Other UTMs UAS Operations UAS Operators 13
  • 14. • Request for Information for collaborating with NASA on UTM garnered over 100 responses from companies, universities, and other government agencies • Relationships are non-reimbursable • Several UAS technology domains represented – Vehicle manufacturers – Surveillance technologies – Control systems – Mission planning software – Data providers 14
  • 16. • Physical Location: Low altitude Class G airspace – Outside the Mode-C Veil – At least 3nmi away from airports, helipads, etc. – 1,200 feet above ground level (AGL) or lower • Risk Criteria – Population Density: only people involved in operation – Structural Density: only structures related to the operation – Manned operations: only participating aircraft expected – UAS Operations: segregated by geofences or time • Test Constraints – Within visual line-of-sight of Pilot-in-Command – During daylight hours – With visibility greater than one statute mile and clear of clouds 16
  • 17. • Demonstrate and evaluate advanced UTM services and UAS operations in high-fidelity human-in-the-loop (HITL) simulations • Define human’s roles, responsibilities and procedures for managing UTM operations • Perform verification and validation testing of UTM system prior to field tests • Simulate complex operations that cannot be done during the field tests (e.g., urban operations, September 11th-type scenarios) 17
  • 20. • Self-regulation: responsible, credible, collaborative • National UAS Standardized Testing and Recording (NuSTAR) • Parallel: Underwriter’s Laboratory, Consumer Reports, JD Powers • Credible test bed and scenarios – Urban, rural, atmospheric conditions (e.g., fog, smog, rain) – Simulated pets • Data oriented rating, acceptance, and assurance • Every UAS vehicle model goes through • Support UAS manufacturers, consumers, FAA, insurance companies, and public at large through objective assessments • Initial feedback from industry members has been positive B-2
  • 21. 21 • UTM construct has promise for safe operations • National and international interest • Collaboration is welcome: 100+ private sector, university, and government collaborators • Field testing and simulations will demonstrate UTM feasibility • NUSTAR may enable self-regulation
  • 22.
  • 23. • Single service provider for the entire nation such as a government entity • Single service provider for the entire nation provided by a non-government entity (for profit or not for profit) • Multiple service providers by regional areas where UTM service could be provided by state/local government entities – Needs to be connected and compatible • Multiple service providers by regional areas where UTM service could be provided by non-government entities – Needs to be connected and compatible • Regulator has a key role in certifying UTM system and operations B-1
  • 24. • National UAS Standardized Testing and Recording (NuSTAR) • Parallel: Underwriter’s Laboratory, Consumer Reports, JD Powers • Credible test bed and scenarios – Urban, rural, atmospheric conditions (e.g., fog, smog, rain) – Simulated pets • Data oriented rating, acceptance, and assurance • Every UAS vehicle model goes through • Support UAS manufacturers, consumers, FAA, insurance companies, and public at large through objective assessments • Initial feedback from industry members has been positive • Your feedback is requested B-2
  • 25. The Small Unmanned Systems Business Exposition 2015