Project description
Overcoming sensor hurdles for smooth autonomous driving
Autonomous vehicles rely on sensors to perceive their environment in all conditions. This demands high-performance systems like cameras, lidar, and radar. While cameras and lidar face drawbacks, radar shows promise but encounters technical hurdles. The EIC-funded ACTIVATING project will focus on high-performance antennas, vital for radar sensor systems. Traditional antennas built on printed circuit boards (PCBs), and commonly used in various electronic devices, have limitations. However, new 3D-printed waveguide antennas offer a solution. By streamlining manufacturing, they boost performance, cut costs, and accelerate time-to-market. With this innovation, the future of autonomous driving takes a leap forward.
Objective
To enable autonomous driving, vehicles need to perceive their surroundings in 360 degrees under any conditions. Autonomous vehicles thus require a variety of high-performance sensors, including camera-, lidar- and radar systems. These sensors need to be weather-independent, reliable, cost-effective, and invisible. While cameras and lidar are struggling with various drawbacks, radar sensors have the potential to fulfil all requirements. However, critical technical hurdles need to be addressed first, and Golden Devices' technology plays a key role in overcoming them. High-performance antennas are a crucial factor in achieving the necessary level of sensor system performance. Antennas are the connecting and at the same time limiting element between chips, software, and the external environment. The antennas transmitting and receiving signals from radar sensors are currently based on printed circuit boards (PCB). Due to their 2-dimensional structure and very limited design possibilities, these PCB antennas have severe shortcomings in terms of performance. 3-dimensional waveguide antennas are a promising alternative, significantly reducing transmission losses and increasing bandwidth. However, the established design of waveguide antennas is based on a split-block approach, which means that several parts are assembled and manufactured mainly by injection moulding. Both factors are limiting the performance of waveguide antennas and therefore radar sensors. To overcome this limitation, Golden Devices has developed a unique manufacturing process based on 3D printing and a proprietary metallization concept. Unlike the split-block process, Golden Devices manufactures the waveguide antennas in one piece. This provides numerous essential advantages in terms of technical performance, significantly reduced product development times and costs, and thus faster time-to-market. In the next step, we will now scale and automate the manufacturing process to realise series production.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences software
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering sensors optical sensors
- engineering and technology electrical engineering, electronic engineering, information engineering information engineering telecommunications radio technology radar
You need to log in or register to use this function
We are sorry... an unexpected error occurred during execution.
You need to be authenticated. Your session might have expired.
Thank you for your feedback. You will soon receive an email to confirm the submission. If you have selected to be notified about the reporting status, you will also be contacted when the reporting status will change.
Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
-
HORIZON.3.1 - The European Innovation Council (EIC)
MAIN PROGRAMME
See all projects funded under this programme
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-EIC-ACC-BF - HORIZON EIC Accelerator Blended Finance
See all projects funded under this funding scheme
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) HORIZON-EIC-2023-ACCELERATOR-01
See all projects funded under this callCoordinator
Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
91052 ERLANGEN
Germany
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.