CORDIS Project
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XANDAR aims to develop a comprehensive software toolchain for networked embedded systems, focusing on rapid prototyping and safety. It addresses the challenges of integrating Machine Learning and Artificial Intelligence in autonomous systems, ensuring reliability and security in applications like autonomous vehicles.
The next generation of networked embedded systems (ES) necessitates rapid prototyping and high performance while maintaining key qualities like trustworthiness and safety.
However, deployment of safety-critical ES suffers from complex software (SW) toolchains and engineering processes.
Moreover, the current trend in autonomous systems relying on Machine Learning (ML) and AI applications in combination with fail-operational requirements renders the Verification and Validation (V&V) of these new s…
KARLSRUHER INSTITUT FUER TECHNOLOGIE
Partner organizations (coordinator is shown above), with normalized type and CORDIS activity type. Guests see up to 4 partners.
Greece, Tripolis
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
Cyprus, Limassol
Type: SME
Activity type: Private for-profit entities (excluding Higher or Secondary Education Establishments)
SME: Yes
Germany, STUTTGART
Type: Company (for-profit)
Activity type: Private for-profit entities (excluding Higher or Secondary Education Establishments)
SME: No
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