Objective
The latest generation of Advanced Driving Assistance Systems (ADAS) will accelerate the trend towards zero accident
vehicles, highly automated driving (HAD) and an associated better road utilization. Hence, preventing accidents and
automation of tasks in progressively more complex driving situations require innovation in perceiving the environment, the
vehicle-state, and the reasoning about these. This can be done by the usage of multiple sensor technologies,
complementing and reinforcing each other. The optimal use of such a huge amount of heterogeneous information requires
innovations in both the involved component technologies and in the system architecture concepts.
e-Awake project seeks to bring to the ADAS market an innovative product that uniquely addresses the aforementioned
challenge. The overall goal of the project is to integrate, test, standardize and industrialize a high performance embedded
system that will allow vehicle integrators to easily design and tailor their solutions to the challenging new trends and
demands in ADAS and HAD markets.
e-Awake will rely on in-house developed algorithms for ADAS and HW/SW co-design methods under a new paradigm,
where instead of several dedicated chips, a single device supports a homogeneous software-centric architecture with
optimal hardware and software partitioning for functional acceleration.
The resulting -automotive qualified- embedded computing platform shall provide significant enhancements not only in
performance (100x) and power consumption (x2) but also in terms of cost-efficiency, scalability and flexibility -resulting in at
least a 30% reduction of development costs.
Trough e-Awake project, IXION will develop and industrialize HW/SW technology for new generation ADAS and highly
automated vehicles, where it aims to be a relevant actor in the market as 2nd tier in the upcoming 4-6 years.
Fields of science
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
Programme(s)
Funding Scheme
SME-1 - SME instrument phase 1Coordinator
28027 Madrid
Spain
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.