#	Pagina
attuale pagina	/open-h2020/projects/224867/index.html

Opendata, web and dolomites

EMP SIGNED

Motion planning technology for autonomous driving

Total Cost €

EC-Contrib. €

Partnership

Views

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.

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

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.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "EMP" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

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

More projects from the same programme (H2020-EU.3.;H2020-EU.2.3.;H2020-EU.2.1.)

RoboSynFarm (2019)

Robotic Synthesis Farm

Woodywood pickering (2019)

Bio-based (fully renewable) cost effective Polymer for new generation of ecological Coatings leveraging a disruptive innovation in the use of Pickering emulsion.