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EMP SIGNED

Motion planning technology for autonomous driving

Total Cost €

EC-Contrib. €

Partnership

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EMP project word cloud

Explore the words cloud of the EMP project. It provides you a very rough idea of what is the project "EMP" about.

2026 pilot platoons shuttles technologies trajectories private cope business bn efficiency market physics solution human cars cutting responsible urban embotech software mile suppliers decision aerospace faces errors accidents world road smart perform of autonomous motion proven players taxis jointly leader obstacles specialized industrial revolutionary comfort follow industry highway last safer cagr tier driving safety appear proof traffic safe vehicles automotive planning 71 manoeuvres valet carmakers plan avoiding today truck 2017 standard deterministic vehicle parking supplier advent dimensional principal self time sensors grade independent enabled edge connected emp sme provides flexible certifiable car generates robo 19 embeddable ecus attributed planner models 90 ten

Project "EMP" data sheet

The following table provides information about the project.

Coordinator	EMBOTECH AG Organization address address: TECHNOPARKSTRASSE 1 city: ZURICH postcode: 8005 website: n.a. contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.
Coordinator Country	Switzerland [CH]
Total cost	3˙556˙000 €
EC max contribution	2˙489˙200 € (70%)
Programme	1. H2020-EU.3. (PRIORITY 'Societal challenges) 2. H2020-EU.2.3. (INDUSTRIAL LEADERSHIP - Innovation In SMEs) 3. H2020-EU.2.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies)
Code Call	H2020-SMEInst-2018-2020-2
Funding Scheme	SME-2
Starting year	2019
Duration (year-month-day)	from 2019-09-01 to 2021-08-31

Partnership

Take a look of project's partnership.

#	participants	country	role	EC contrib. [€]
1	EMBOTECH AG EMBOTECH AG Organization address address: TECHNOPARKSTRASSE 1 city: ZURICH postcode: 8005 website: n.a. contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	CH (ZURICH)	coordinator	2˙489˙200.00

Map

Project objective

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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The information about "EMP" are provided by the European Opendata Portal: CORDIS opendata.