Status of the project

ESCAPE lasts three years, from autumn 2016 to autumn 2019. During its lifetime, the project encounters seven milestones, highlighted in blue in the following figure. Intermediate project achievements between milestones are reported as yellow elements.

 

Algorithm Definition and Safety Analysis (September 2017)

At the end of the first year, the definition of the algorithms governing the ESCAPE GNSS Engine (EGE) is concluded and the safety analysis related to them is available.

The algorithm definition has completely specified the fundamental functional blocks of the EGE, namely:

  • Initialization and configuration manager;
  • GNSS receiver + sensors manager;
  • Standard point positioning;
  • Precise point positioning;
  • Camera-based positioning;
  • Camera-based positioning integrity;
  • Consistency checks;
  • Protection level computation;
  • Algorithms related to the Autonomous Driving Commuter Car (ADCC).

All the algorithms have been developed by GMV, excluded the ADCC related algorithm developed by Renault in collaboration with the Université de Technologie de Compiègne.

 

Status at Month 9 (end of July 2017)

ESCAPE has produced by Month 3 a complete set of system user requirements (see section below) for the ESCAPE GNSS Engine (EGE).

Derived from these user requirements, the preliminary hardware and software architecture (see section below) for the EGE has been completed and is ready to be fine-tuned in the next months. This completes the Definition Phase of ESCAPE project.

The Algorithms Detailed Definition phase, including the information on how sensing information is accounted in the algorithms, is ongoing and it will be released during the next quarter.

In the meantime, the algorithmic developments are progressing in parallel, pending shortly to start integrating the software into the first available development platform. The HW integration in an early phase is key to perform an analytic performance check and potentially optimize both HW and SW aspects of the platform.

 

Preliminary Algorithm Architecture

On April 2017 the preliminary structure of the algorithms governing the ESCAPE Engine has been released.                                                                                                                      The ESCAPE GNSS Engine, also indicated as EGE, is the innovative system developed as part of the ESCAPE project to provide pose estimates with an integrity layer, tailored to Renault’s autonomous driving vehicle.

 

The preliminary algorithm structure, represented in the figure above, has defined:

    • the functional elements that make the core EGE algorithms;
    • how these algorithms interact with other external elements;
    • the content of the data flows exchanged between them;

the traceability of the user requirements onto the EGE elements.

In parallel, also the safety analysis of the algorithms has been elaborated, as these are critical components for the intelligent vehicles.

The preliminary algorithm architecture is the first of three intermediate steps bringing the project to the Preliminary Design Review; the incoming ones are:

  • the preliminary hardware architecture, and
  • the preliminary software architecture.

User Requirements Review

At the User Requirement Review (URR), completed in February 2017, the project has concluded two fundamental tasks:

  • the identification of the user-level requirements, and
  • the user-level safety analysis.

Their importance is in the fact that a major element that influences the design of the positioning engine is  the level of automation expected from the vehicle.  To translate this concept in an effective approach, the user-level expectations have been mapped in five major use cases, for which several test paths have been identified where algorithms and functionalities will be tested.  This approach guarantees that the design proceeds under an effective user needs-driven perspective, so as to end up with a close to market architecture that enables road vehicle automation.

Kick-Off Meeting

On November 10th, 2016, the ESCAPE project kicked-off in Prague, Czech Republic, in the European GNSS Agency premises.

The future of the autonomous driving is “made-in-Europe”! European Safety Critical Applications Positioning Engine – ESCAPE project has kicked-off at the European GNSS Agency (GSA) premises in Prague. ESCAPE is a three-year and 5.4 M€ project aiming to exploit the services offered by Galileo, the European satellite navigation system, in the field of the automated driving. ESCAPE will coordinate some of the most relevant industrial and research institutions in Europe to create a positioning engine for safety-critical applications on the road, namely- the applications involving highly automated driving. All the members of the ESCAPE’s consortium participated to the KO meeting, collaborating to the successful launch of the project.

Status of the project

ESCAPE will last three years, from autumn 2016 to autumn 2019. During its lifetime, the project will encounter some major milestones, summarized in the following figure.

Kick-Off Meeting

On November 10th, 2016, the ESCAPE project kicked-off in Prague, Czech Republic, in the European GNSS Agency premises.

The future of the autonomous driving is “made-in-Europe”! European Safety Critical Applications Positioning Engine – ESCAPE project has kicked-off at the European GNSS Agency (GSA) premises in Prague. ESCAPE is a three-year and 5.4 M€ project aiming to exploit the services offered by Galileo, the European satellite navigation system, in the field of the automated driving. ESCAPE will coordinate some of the most relevant industrial and research institutions in Europe to create a positioning engine for safety-critical applications on the road, namely- the applications involving highly automated driving. All the members of the ESCAPE’s consortium participated to the KO meeting, collaborating to the successful launch of the project.

User Requirements Review

At the User Requirement Review (URR), completed in February 2017, the project has concluded two fundamental tasks:

  • the identification of the user-level requirements, and
  • the user-level safety analysis.

Their importance is in the fact that a major element that influences the design of the positioning engine is  the level of automation expected from the vehicle.  To translate this concept in an effective approach, the user-level expectations have been mapped in five major use cases, for which several test paths have been identified where algorithms and functionalities will be tested.  This approach guarantees that the design proceeds under an effective user needs-driven perspective, so as to end up with a close to market architecture that enables road vehicle automation.

The ESCAPE Project is funded by the European GNSS Agency (GSA) under the European Union’s Fundamental Elements research and development programme under grant agreement No.GSA/GRANT/01/2015

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