Autonomous Drivingfunctional it ies and chal lenges
Christian SeierIngolstadt | 20.06.2018
Agenda
F M S | W I R H I N T E R L A S S E N S P U R E N
1 I D i f f e r e n c e sm a n u a l / a u t o m a t e d / a u t o n o m o u s d r i v i n g
2 I C h a l l e n g e s f o r a u t o m a t e d d r i v i n g
3 I S u m m a r y
I 2
DEFINITION & FUNCTIONALITY
OF AUTOMATED DRIVING
Level 1 Level 2 Level 3 Level 4 Level 5Level 0
Driver Vehicle
Driver only Driver assistance Partly automated Highly automated Fully automated Full automation
Degree of automationDriver
Vehicle
Autonomous Drivingfunctionalities and challenges
F M S | W I R H I N T E R L A S S E N S P U R E N I 4
Five levels of autonomated driving
Source: Adapted from Wienerstädtische Versicherung AG and VDA/BASt, SAE
or
and
Autonomous Drivingfunctionalities and challenges
F M S | W I R H I N T E R L A S S E N S P U R E N I 5
Five levels of autonomated drivingDriver
Vehicle
Degree of automation
CHALLENGES IN THE FIELD OF
AUTOMATED DRIVING
Autonomous Drivingfunctionalities and challenges
F M S | W I R H I N T E R L A S S E N S P U R E N I 7
Schematic event chain
Ou
tsid
e C
ar
SW
HW
Infrastructure HMI
Perception
Interpretation Core function
Sensor Actuator
Preprocessing
In C
ar
Autonomous Drivingfunctionalities and challenges
I 8
Possible Sensor Set – optimized for specific user functions/use cases
F M S | W I R H I N T E R L A S S E N S P U R E N
Long Range RadarCameraMid Range RadarUltrasonic SensorLIDAR (light detection and ranging)
SurroundView
Surround View
Surround View
Sign & ObstacleRecognition
Lane DepartureRecognition
Adaptive Cruise Control
Park Assistant
RearCollisionDetection
Blind Spot Detection
CrossTrafficDetection
ObstacleDetection
Autonomous Drivingfunctionalities and challenges
F M S | W I R H I N T E R L A S S E N S P U R E N I 9
Schematic event chain
Outside Car
INFRASTRUCTUREPREPROCESSING HMI
HMI car
Mobile devices
MapsParking space management
Traffic information
Traffic manipulation
Mapping
Traffic recognition
Autonomous Drivingfunctionalities and challenges
F M S | W I R H I N T E R L A S S E N S P U R E N I 10
Schematic event chain
PERCEPTION
Sensor Data Fusion
Interpretation
Object detection
Object classification
Localization
CORE FUNCTION
Decision
Path planning
Trajectory planning
Collision avoidance
Closed loop actuation elements
In Car - SW
Autonomous Drivingfunctionalities and challenges
F M S | W I R H I N T E R L A S S E N S P U R E N I 11
Validation of autonomous driving features
Validation
Manpower
Time
Money
§
Autonomous Drivingfunctionalities and challenges
F M S | W I R H I N T E R L A S S E N S P U R E N I 12
Virtual testing of autonomated driving features
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Autonomous Drivingfunctionalities and challenges
I 13
Functionalities
F M S | W I R H I N T E R L A S S E N S P U R E N
Advantages:
• Reduction of accidents (Vision Zero)
• Better utilization of infrastructure
• Lower environmental impact
• Increased productivity
• More comfort
• …
PossibleUse Cases
…
SUMMARY
Autonomous Drivingfunctionalities and challenges
F M S | W I R H I N T E R L A S S E N S P U R E N I 15
Summary
Challenges still not solved on many levels. Even insurance and liablity not yet decided.
Field of technology: sensors, algorithms, interfaces, safety, security, validation
FMS offers sustainable and integrated solutions in the fieldof algorithm development, backend IT, tool development, security, vehicle construction and cosulting from one single source
W I R H I N T E R L A S S E N S P U R E N .
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