case study: pegasus - fot-netfot-net.eu/.../sites/7/2016/02/2016-01-28_case-study-pegasus.pdf ·...
TRANSCRIPT
Let’s do it now
In 1901 Daimler launched the first modern car with the Mercedes 35 HP. At the same time Gottlieb Daimler said: „The worldwide demand for automobiles will not exceed one million if only due to the lack of chauffeurs.“
It is time to solve this obviously very old problem by rollout of systems for highly automated driving!
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• What criteria have systems for highly automated driving to fulfil?
• What is necessary in order to assure, that systems fulfil those criteria, actually?
PEGASUS core issues
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TP 4
_____________________
Lead: Continental
TP 3
_____________________
Lead: Daimler, BMW, TÜV Süd
TP 2
_____________________
Lead: Opel
TP 1
_____________________
Lead: Volkswagen
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Sub projects (TPs) and partners
ERGEBNISREFLEKTION &EINBETTUNGTESTEN
SZENARIENANA LYSE &QUALITÄTSMAßE UMSETZUNGSPROZESSE
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Current status of automated vehicle testing
Prototypes Test tools Products
Current status
Characteristics of test levels
Virtual tests Field tests
© Palisade Corporation
Proving ground tests
Analysis of a huge number of scenarios, environments, system configurations and driver characteristics
Reproducibility by use of driving robots, self driving cars and targets; critical manoeuvres are possible
Investigation of real driving situations and comparison with system specifications
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Socially accepted risk criteria
General approach: Risk = Frequency x Damage Accident statistics on German „Autobahn“
log(
Freq
uenc
y)
log(Damage)
1
10
100
0 1 2 3Severity
Acci
dent
rate
per
1 b
n. k
m
With assumption, that there is 1 order of magnitude between severity levels according to ISO 26262:
Sources: H.-P. Schöner, CESA 2014, and DESTATIS (German Federal Statistics Agency) 2013
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Consolidation of results
Assessment Results
Scenarios (exposition, environment,
…)
Virtual Assessment
SW in the Loop
HW in the Loop
Driving Simu-lator
…
Vehicle Testing (NDS, fleet, proving ground, …)
Road Users (driver, pedestrian, …)
Vehicle (driving dynamics, …)
Sensors (radar, lidar, camera, …)
relevant situations for further investigation
models validation, verification
108 scenarios 103 scenarios 102 scenarios
results
Model Database
Legend:
Situation space mainly covered
by virtual assessment
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Thank you for your attention! For more information: www.pegasus-projekt.info (online soon)
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