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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.

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

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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