6. 6 06.05.2017
COMPLIANT TECHNICAL ROAD MAP
Source graphique
:
ERTRAC
Public Transportation
ADAS Driver reponsability
2 distincts markets
Mobility 2.0
System responsability
1 fused solution
- New Services
- New Usage
- Mix of Industries
- Robotised transports
- High safety requierements
7. 7 06.05.2017
AUTONOMOUS AND SO ON
Connected cars
Electric
vehicles
Autonomous
driving
Agile
User friendly
Efficient
Smart
Intelligent
Fast
Safe
Flexible
Updated
Comfortable
Adaptive Data source
Services
Seamless
Secured
Shared
Personalized
10. 10 06.05.2017
IMPROVE MOBILITY EFFICIENCY
Source : Peter Stone, University of Texas
A real emergency
Average of 1,2 persons per car (Eurostat)
Increasing urbanisation
Average of 23h parked (In Parisian region – EGT)
Improve efficiency of our urban transport is not an option
11. 11 06.05.2017
COMFORT
Source : Eiffage
Improve urban and personal experience
Decrease impact of automation on
cities
Decrease urbanisation need
Increase ecological aspects of mobility
Increase safety of mobility
Take benefits of transport times
Go beyond human limitations
(speed/density…)
14. 14 06.05.2017
LEGAL CHALLENGES
How to trace responsibilities
Set the proper legislation regarding
autonomous transportations
Stay fair and competitive between
countries and companies
Balance companies and users interests
How to legally respond to failures and
crashes
Who takes responsibility ?
OEM
Engineering
companies
Suppliers
Service
providers
legislator
15. 15 06.05.2017
INDUSTRIAL CHALLENGES
Methodology and industry transformations
Operational
level
Functional
level
Function models
HIL/SIL
Unit
Organic level
HIL/SIL
global
Components
MIL Unit
MIL
Global
SW/HW
Integration
Vehicle
tests
Nex competences,
new methodologies,
new added value
16. 16 06.05.2017
TECHNICAL CHALLENGES
Fast transfer from research to industry
RESEARCH
INDUSTRIAL PROJECT
LEVEL 1
Active Driver
Assistance
LEVEL 2
Partial Automation
LEVEL 3
Conditional
Automation
LEVEL 4
High
Automation
LEVEL 5
Full
Automation
Autonomous
Electric
Connected
ADAS
EE Architecture
VS
Machine learning
High level
requirements
VS
Structured environment
hypothesis
Reality !
!
17. 17 06.05.2017
BUSINESS CHALLENGES
A run to gain competences and markets
OEM
Suppliers
Fleetmanagers
IS
X
X
X
X
X
X
X
X
X
XX
X
X
X
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X
X X
X
X
X
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