CERMcity

Center for European Research on Mobility Urban Validation Environment

Modified MIA vehicle serves as base for the vehicle validation platform (FVP) (Photo: Thomas Frank, DFKI GmbH)
Modified MIA vehicle serves as base for the vehicle validation platform (FVP) (Photo: Thomas Frank, DFKI GmbH)
Scientific Leader:
 
Project coordinator:
Institut für Kraftfahrzeuge - RWTH Aachen University, Dipl.-Ing. Micha Lesemann
 
Project leader:
 
Contact person:

In city centres different road users interact with each other, so that very complex and highly dynamic traffic situations arise, which must be controlled safely by automated driving functions. New and innovative functions and systems of automated networked vehicles require full validation. For this purpose, there is often a lack of suitable and freely accessible vehicle platforms for rapid implementation and objective assessment as well as a validation environment, which enables the necessary tests in a safe and reproducible environment. The aim of the CERMcity project is to create it and make it available to all interested users without discrimination.

Duration: 01.10.2016 till 30.09.2019
Donee: DFKI GmbH
Sponsor: Federal Ministry of Education and Research
Grant number: Supported by the Federal Ministry of Education and Research, Project number:16EMO0197
Partner:

RWTH Aachen,
FH Aachen.

Associated Partners:
TÜV Rheinland AG,
BASELABS GmbH,
Silicon Radar GmbH.

Application Field: Electric Mobility
Related Projects: DaBrEM
Dalian - Bremen Electric Mobility (07.2013- 12.2015)
Related Robots: EO smart connecting car
EO smart connecting car further development in subprojekt ITEM
EO smart connecting car 2
Highly flexible and modular robotic car

Project details

DFKI test platform in the EMC test (Source: Mehmed Yüksel, DFKI GmbH)
Roof sensor carrier with different sensors on DFKI test platform (Source: Thomas Frank, DFKI GmbH)
The 3D Point Cloud maps of Aldenhoven Testing Center (ATC) - the route intersections and straights (Source: Kerim Yener Yurtdas, DFKI GmbH)
The 3D Point-Cloud Maps from Aldenhoven Testing Center (ATC) - the oval track (Source: Kerim Yener Yurtdas, DFKI GmbH)
The 3D Point-Cloud maps from Bremen and surroundings - test field near Bremen (Source: Kerim Yener Yurtdas, DFKI GmbH)

Within the scope of the sub-project "CERMcity - FVP" an existing vehicle of the DFKI RIC is extended to a vehicle validation platform (FVP) with autonomous functions. The aim is to provide a dynamic platform in addition to the static urban test environment, which can be used within the scope of the pilot validation and within the scope of the trial operation. Building an FVP is a very important aspect of the project so that potential users of the urban test environment must not equip and commission their own vehicle platform, but can concentrate on their core work (for example, sensor development, algorithmic developments).

When using a vehicle as a validation platform, three prototypical applications are to be distinguished:

  1. The system to be validated provides data, for example, an environmental sensor to be validated. In this case, the validation platform must provide the possibility of data recording and, optionally, a functional data link (for example, an autonomous vehicle control using the sensor data).
  2. The system to be validated requires data, for example an Advanced Driver Assistant System (ADAS) to be validated, such as an optical / acoustic distance warning system. In this case, corresponding sensor equipment is to be provided by the validation platform.
  3. The combination of the first two cases, such as a data fusion system or autonomous vehicle control.

In all three cases, the validation system must also record test data, reproduce different driving behaviors reproducibly, and, in particular, provide a "ground truth" by means of infrastructure sensors, as well as a variant of software to be validated and hardware to be validated.

Various points have to be taken into consideration when developing a suitable autonomic function for the vehicle platform. For example, good reproducibility is important for most applications. In addition, the autonomous vehicle control must respond appropriately to the (possibly validatable) sensor outputs. Thus (at least optional) the sensor output should be used directly and not be filtered, checked for plausibility or corrected. In this case, however, a malfunction of the device under test (DUT) to be validated must, of course, be intercepted if a threat to the urban test environment, other vehicles and / or the vehicle validation platform itself has to be prevented.

Videos

MIA test platform: DFKI´s open test, development and verification platform for autonomous driving

Am DFKI Robotics Innovation Center (RIC) arbeiten Forscher in mehreren Projekten an der Entwicklung neuer Mobilitätslösungen, wie dem Design neuartiger elektrischer Roboterplattformen oder autonomer Fahrlösungen mit Künstlicher Intelligenz für städtische und ländliche Regionen.

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last updated 26.08.2019
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