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EMP SIGNED

Motion Planning Software for Autonomous Car Industry

Total Cost €

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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.

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

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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