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

€

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 .