ArtistDesign NoE

DECOS

Hermann Kopetz — 2006-07-05T15:10:07Z

DECOS Dependable Embedded Components and Systems is an integrative project that will develop the basic enabling technology to move from a federated distributed architecture to an integrated distributed architecture in order to reduce development, production and maintenance cost and increase the dependability of embedded applications in many application domains. DECOS plans to develop technology invariant software interfaces and encapsulated virtual networks with predictable temporal properties such that application software can be transferred to a new hardware and communication base with minimal effort (legacy re-use). The DECOS methodology and the tools will be evaluated by building three applications in the automotive, aerospace and control domain, respectively. DECOS builds on the substantial results of previous European research projects (NextTTA, FIT, TTA, SETTA, RISE, X-By-Wire, PDCS, DEVA, DSOS). The components and tools developed within DECOS will cover: cluster design, middleware and code generators, validation and certification as well as systems-on-a-chip (SoCs) for high dependability applications.

DECOS aims at maintaining and significantly enhancing Europe's pre-eminent competitive position in technology and application areas and will open an emerging market for tool suppliers. The integrating effect of the project will result in continued future cooperation between the partners and will create the basis for an emerging technology platform for dependable embedded systems.

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DARPA Urban Challenge 2007

Bruno Bouyssounouse — 2006-07-05T14:48:03Z

The DARPA Urban Challenge features autonomous ground vehicles conducting simulated military supply missions in a mock urban area. DARPA is offering $2M for the fastest qualifying vehicle, and $1M and $500,000 for second and third place.

DARPA Grand Challenge

The DARPA Urban Challenge is an autonomous vehicle research and development program with the goal of developing technology that will keep warfighters off the battlefield and out of harm's way. The Urban Challenge features autonomous ground vehicles maneuvering in a mock city environment, executing simulated military supply missions while merging into moving traffic, navigating traffic circles, negotiating busy intersections, and avoiding obstacles.

Created in response to a US Congressional and DoD mandate, DARPA Grand Challenge is a field test intended to accelerate research and development in autonomous ground vehicles that will help save American lives on the battlefield. The Grand Challenge brings together individuals and organizations from industry, the R&D community, government, the armed services, academia, students, backyard inventors, and automotive enthusiasts in the pursuit of a technological challenge.

Grand Challenge 2005

The Grand Challenge 2005 was held on October 8, 2005 in the desert Southwest. The Stanford Racing Team won the $2 million prize with the winning time of 6 hours, 53 minutes. A total of five teams completed the Grand Challenge course which was 132 miles over desert terrain.

Grand Challenge 2004

The Grand Challenge 2004 field test of autonomous ground vehicles ran from Barstow, California to Primm, Nevada offered a $1 million prize. From the qualifying round at the California Speedway, 15 finalists emerged to attempt the Grand Challenge. However, the prize went unclaimed as no vehicles were able to complete the difficult desert route.

More on DARPA Grand Challenge at Wikipedia.

Full information is available online!

Last Updated: June 13th 2007

AADL

Bruno Bouyssounouse — 2006-07-05T11:34:48Z

The SAE AADL is an extensible architecture analysis and design language for embedded and real-time systems.

The core language provides a precise semantic specification for modeling task and communication architectures and their mapping onto distributed execution platforms.

What AADL can do

Represent embedded systems as component-based system architecture
Model component interactions as flows, service calls, and shared access
Model task execution and communication with precise timing semantics
Model execution platform and specify application binding
Represent operational modes and fault tolerant configurations
Support component evolution and large-scale development
Accommodate analyses such as reliability &safety- criticality through extensions

What are the benefits

Prediction and validation of runtime characteristics such as availability, timeliness, security;
Validated system architectures and implementations;
Improved development process through single annotated architecture model;
AADL as part of a model-based engineering enterprise solution;
AADL models as deliverables and subcontractor management;
interoperability & integration of commercial and in- house tools.