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EMP

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Motion planning technology for autonomous driving

Today, more than 90% of road accidents are attributed to human errors. To cope with this, smart technologies are being developed to enable autonomous driving, with the goal of making road traffic safer. With the advent of autonomo... ver más

31/08/2021

ETH Zürich

4M€

Presupuesto del proyecto: 4M€

Líder del proyecto

EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH No se ha especificado una descripción o un objeto social para esta compañía.

Fecha límite participación Sin fecha límite de participación.

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Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2021-08-31

EIC-SMEInst-2018-2020: SME instrument

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2 Participantes

ETH Zürich

2.49M€ | Lider

ROBOMOTION

314.20K€ | Participante

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Duración del proyecto: 24 meses Fecha Inicio: 2019-08-13
Fecha Fin: 2021-08-31

Líder del proyecto

EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH No se ha especificado una descripción o un objeto social para esta compañía.

Presupuesto del proyecto 4M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto Today, more than 90% of road accidents are attributed to human errors. To cope with this, smart technologies are being developed to enable autonomous driving, with the goal of making road traffic safer. With the advent of autonomous driving, less than ten years from now, new business models will appear enabled by autonomous shuttles, robo-taxis, last-mile autonomous delivery vehicles, connected truck platoons and private self-driving cars. One of the major challenges the autonomous car industry faces is the development of embeddable software that, using information from the vehicle sensors, is capable to real-time plan the vehicle motion. Motion planning is the part of the autonomous vehicle operating system responsible for defining the path to follow, avoiding obstacles and ensuring safety, comfort and efficiency. Embotech is a leading supplier of decision-making software developing cutting-edge motion planning technology for autonomous cars. Since 2017 we are working with principal carmakers and Tier 1 suppliers of the automotive industry in proof of concepts of our revolutionary software EMP (Embotech Motion Planner). Using a deterministic approach and physics-based models, EMP generates high-dimensional motion trajectories that enable various self-driving tasks such as valet parking, highway driving pilot and urban driving pilot. EMP provides fully flexible, safe and certifiable motion planning, capable to perform complex manoeuvres real-time on standard automotive grade ECUs. As a SME highly specialized in decision-making technology, our plan is to bring a solution already proven in aerospace and industrial applications, to jointly test it in Level 4 autonomous cars with the support of several automotive industry players. In the market of autonomous driving, growing at a CAGR 19%, and expected to reach €71.3 Bn by 2026, we aim to become the world independent leader supplier of motion planning software for autonomous driving.

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