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EMP SIGNED

Motion Planning Software for Autonomous Car Industry

Total Cost €

0

EC-Contrib. €

0

Partnership

0

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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.

flexible    benefitting    plan    optimizations    conventional    tier    responsible    driving    parking    2025    dimensional    business    road    90    safer    safety    seamless    model    generates    mentoring    accidents    time    trajectories    easily    automatic    solutions    deterministic    urban    follow    besides    industry    coaching    autonomous    situations    sales    safely    motion    planning    attributed    programmed    direct    comfort    oems    avoiding    cutting    models    suppliers    more    planner    self    software    localization    embotech    zurich    royalty    solution    led    spin    off    driver    physics    edge    sensing    integration    perform    team    automotive    volume    market    programs    technologies    errors    incubation    roi    instrument    awaiting    algorithms    traffic    experts    car    sme    mapping    ensures    standard    emp    hot    core    urgent    vehicle    manoeuvres    obstacles    assist    adaptable    expert    introduces    laboratory    68    transform    generating    highway    trajectory    scenario    valet    community    eth    ecus    safe    create    efficiency    vehicles   

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]
 Project website http://www.embotech.com
 Total cost 71˙429 €
 EC max contribution 50˙000 € (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-2018-2020-1
 Funding Scheme SME-1
 Starting year 2018
 Duration (year-month-day) from 2018-12-01   to  2019-03-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    EMBOTECH AG CH (ZURICH) coordinator 50˙000.00

Map

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

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