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Motion Planning Software for Autonomous Car Industry

Project description

An automatic driving software suite for driverless cars

Self-driving cars need to make decisions based on their mission, rules-of-the-road and information about surrounding objects. This requires an autonomous driving software suite. The tech SME Embotech AG has designed such a suite for defining a constantly updated dynamic driving trajectory. The Embotech Motion Planner (EMP) uses a deterministic approach and physics-based algorithms so that the autonomous vehicle can safely perform complex manoeuvres, as well as high-speed driving, in real time. The aim of the EU-funded EMP project is to ultimately push the transformation from conventional driving to autonomous driving. This will reduce the number of traffic accidents, since the majority are attributed to driver errors.

Objective

More than 90% of road accidents are attributed to driver errors. Thus, there is an urgent need to transform conventional driving towards autonomous driving and make car traffic safer. One of the major challenges in the autonomous car industry, besides sensing, localization and mapping is safe planning of the vehicle motion. Motion planning algorithms are responsible for defining a path to follow, avoiding obstacles and generating the best trajectory that ensures safety, comfort and efficiency. This is a hot topic for the development community, which is still awaiting reliable and robust solutions to solve complex situations, without the need to create pre-programmed solutions for each scenario. To this aim, embotech, introduces the EMP (Embotech Motion Planner), a cutting-edge motion planning software for autonomous vehicles. Using a deterministic approach and physics-based models, the proposed solution generates high-dimensional motion trajectories to assist various self-driving tasks such as valet parking, highway driving and urban driving. The EMP enables fully flexible motion planning, capable to safely perform complex manoeuvres in real time with standard automotive ECUs. Characterized by seamless integration, EMP is one core solution easily adaptable to any new car model. Embotech is a spin-off from the Automatic Control Laboratory from ETH Zurich; our team includes experts in embedded optimizations technologies. We are part of several automotive industry-led incubation programs benefitting from expert coaching and mentoring. Our plan is to reach the market through direct sales to OEMs and Tier 1 suppliers. With a volume-based royalty business model, we expect to reach a SME Instrument Phase 2 project ROI of 8.68 by 2025.

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Programme(s)

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Topic(s)

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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.

SME-1 - SME instrument phase 1

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) H2020-EIC-SMEInst-2018-2020

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Coordinator

EMBOTECH AG
Net EU contribution

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.

€ 50 000,00
Address
TECHNOPARKSTRASSE 1
8005 Zurich
Switzerland

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SME

The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.

Yes
Region
Schweiz/Suisse/Svizzera Zürich Zürich
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Links
Total cost

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.

€ 71 429,00
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