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FABIO ALONSO DA SILVA
SELF-DRIVING CHALLENGES FROM THE PERSPECTIVE OF AN
AEROSPACE (FLY BY WIRE) ENGINEER
1
INDEX
• Self-Driving challenges
• Flight Control System
• Autonomous Flight
• Fly-by-Wire vs Autonomous Vehicle (functional similarities)
• Scenario based design
• Q & A
2
SELF-DRIVING DEVELOPMENT
CHALLENGES
• REGULATIONS
• LACK OF LAWS OR REGULATIONS TO GUIDE THE DEVELOPMENT AND
INTEGRATION OF IA SYSTEMS TO AN AUTOMOTIVE PLATFORM
• LACK OF AGREEMENT AND STANDARDIZATION OF REGULATIONS FOR
SELF-DRIVING ACROSS US STATES
• CERTIFICATION AND DEVELOPMENT PLANS
• DEFINITION OF A CERTIFICATION BASIS
• DEFINITION OF CERTIFICATION AND DEVELOPMENT STRATEGIES
3
DEFINITION OF REGULATIONS
• Basically 3 important questions need answers:
1. Are the AI + drive system (both replacing the driver) capable to
follow traffic rules defined for any specific ODD?
2. Are the AI + drive system (both replacing the driver) capable to
perform safely as a human driver would or better in any foreseeable
normal or abnormal operation?
3. Can the AI + drive system (both replacing the driver) be
demonstrated to be X times safer in all cases a human driver has
caused an incident or fatal accident?
4
REQUIREMENT BASED DESIGN
• Flow of requirements
from the high level
sources of definition
down to components
5
REGULATIO
NS
SAFETY OPERATION
MARKETING
PERFORMAN
CE
MAINTENAN
CE
PRODUCT
SYSTEMS
HW
SW
Auto-Pilot
Auto-Throttle
Auto-Land
Fly-By-Wire
(CLAWs)
Engine Control
(FADEC)
Throttle
Quadrant
LDG System
Brake Control
Flight
Management
System
Nose Wheel
Steering
AUTONOMOUS FLIGHT? HOW FAR FROM
REALITY?
• The block diagram
describes in a high level
view the functionalities
that provide Navigation,
Guidance and Control
• Currently the pilot is the
Center of the decision-
making process inside
the cockpit. Similarly is
the driver in a vehicle.
• Autonomous flight
systems will have to
replace the pilot and be
dedicated to respond to
any event during a
flight
6
AIRCRAFT COCKPIT
7
Control
Awareness
Devices that allow
control and awareness
SELF DRIVE
8
Awareness
ControlControlControl
AwarenessAwareness
Devices that allow
control and awareness
FLY BY WIRE VS AUTONOMOUS VEHICLE
• Functional Similarities:
• The majority or all functions
under Localization,
environment and Planning
correspond to the
responsibilities of pilot, flight
management, auto-pilot and
auto-land
• Stabilization would
correspond to CLAWs, Brake,
Steering and Engine Control
Note: overlaps are not shown.
Reference: by Ulbrich, Simon;
Reschka, Andreas, “Towards a
Functional System Architecture
for Automated Vehicles”
9
• PILOT
• FLIGHT
MANAGEMENT
• AUTO-PILOT
• AUTO-LAND
• CLAWS
• BRAKE
• STEERING
• ENGINE
SCENARIO BASED DEFINITIONS
• Drive Scenarios:
1. Vehicle should stop
at stop-sign: If car
does not stop it is
going to collide with
the other stopped at
in front of it;
2. Make a curve to the
left: If it is unable to
make a left turn
within its own lane
either it will
runaway from the
lane, or make an
aggressive left turn
and collide with the
other incoming
vehicle 10
1 2

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SELF-DRIVING CHALLENGES FROM THE PERSPECTIVE OF AN AEROSPACE (FLY BY WIRE) ENGINEER

  • 1. FABIO ALONSO DA SILVA SELF-DRIVING CHALLENGES FROM THE PERSPECTIVE OF AN AEROSPACE (FLY BY WIRE) ENGINEER 1
  • 2. INDEX • Self-Driving challenges • Flight Control System • Autonomous Flight • Fly-by-Wire vs Autonomous Vehicle (functional similarities) • Scenario based design • Q & A 2
  • 3. SELF-DRIVING DEVELOPMENT CHALLENGES • REGULATIONS • LACK OF LAWS OR REGULATIONS TO GUIDE THE DEVELOPMENT AND INTEGRATION OF IA SYSTEMS TO AN AUTOMOTIVE PLATFORM • LACK OF AGREEMENT AND STANDARDIZATION OF REGULATIONS FOR SELF-DRIVING ACROSS US STATES • CERTIFICATION AND DEVELOPMENT PLANS • DEFINITION OF A CERTIFICATION BASIS • DEFINITION OF CERTIFICATION AND DEVELOPMENT STRATEGIES 3
  • 4. DEFINITION OF REGULATIONS • Basically 3 important questions need answers: 1. Are the AI + drive system (both replacing the driver) capable to follow traffic rules defined for any specific ODD? 2. Are the AI + drive system (both replacing the driver) capable to perform safely as a human driver would or better in any foreseeable normal or abnormal operation? 3. Can the AI + drive system (both replacing the driver) be demonstrated to be X times safer in all cases a human driver has caused an incident or fatal accident? 4
  • 5. REQUIREMENT BASED DESIGN • Flow of requirements from the high level sources of definition down to components 5 REGULATIO NS SAFETY OPERATION MARKETING PERFORMAN CE MAINTENAN CE PRODUCT SYSTEMS HW SW
  • 6. Auto-Pilot Auto-Throttle Auto-Land Fly-By-Wire (CLAWs) Engine Control (FADEC) Throttle Quadrant LDG System Brake Control Flight Management System Nose Wheel Steering AUTONOMOUS FLIGHT? HOW FAR FROM REALITY? • The block diagram describes in a high level view the functionalities that provide Navigation, Guidance and Control • Currently the pilot is the Center of the decision- making process inside the cockpit. Similarly is the driver in a vehicle. • Autonomous flight systems will have to replace the pilot and be dedicated to respond to any event during a flight 6
  • 9. FLY BY WIRE VS AUTONOMOUS VEHICLE • Functional Similarities: • The majority or all functions under Localization, environment and Planning correspond to the responsibilities of pilot, flight management, auto-pilot and auto-land • Stabilization would correspond to CLAWs, Brake, Steering and Engine Control Note: overlaps are not shown. Reference: by Ulbrich, Simon; Reschka, Andreas, “Towards a Functional System Architecture for Automated Vehicles” 9 • PILOT • FLIGHT MANAGEMENT • AUTO-PILOT • AUTO-LAND • CLAWS • BRAKE • STEERING • ENGINE
  • 10. SCENARIO BASED DEFINITIONS • Drive Scenarios: 1. Vehicle should stop at stop-sign: If car does not stop it is going to collide with the other stopped at in front of it; 2. Make a curve to the left: If it is unable to make a left turn within its own lane either it will runaway from the lane, or make an aggressive left turn and collide with the other incoming vehicle 10 1 2