Automated vehicles we have on public roads today are capable of up to SAE Level-3 conditional autonomy according to the SAE J3016 Standard taxonomy, where the driver is the
main responsible for the driving safety. All the decision-making processes of the system depend on computations performed on the ego vehicle and utilizing only on-board sensor information,
mimicking the perception of a human driver. It can be conjectured that for higher levels of autonomy, on-board sensor information will not be sufficient alone. Infrastructure assistance will, therefore, be necessary to ensure the partial or full responsibility of the driving safety. Inspired by this, the EU project ESRIUM investigates infrastructure assisted routing recommendations utilizing C-ITS communications. In this respect, specially designed ADAS functions were developed with capabilities to adapt their behavior according to specific routing recommendations. Automated vehicles equipped with such ADAS functions will be able to reduce road damage.
Climate-neutral and smart citiesAddressing target audiences and expressing needs
- Grants and Subsidies
- Help in technical expertise
- Collaboration
- Cooperation with relevant stakeholders such as RTOs, universities, SMEs as well as OEMs and Tier-supliers with the aim to further develop, demonstrate and validate such technologies.
- Potential related follow-up project proposals.
- Application on other fields of research such as autonomous robotics.
- Public or private funding institutions
- Research and Technology Organisations
- Academia/ Universities
R&D, Technology and Innovation aspects
The basic functionality was developed and demonstrated using high fidelity numerical simulations. In vehicle and on road implementation and demonstration are to be conducted during the last year of the project.
The same idea can be implemented and demonstrated using different vehicle setups and software frameworks. The toolchain utilized in ESRIUM is not unique and therefore can be extended and replicated.
If implemented, the results can be scaled to improve overall safety.
