Objective
Current driver assistance systems are not all-weather capable. They offer comfort and safety in sound environmental conditions. However, in adverse weather conditions where the accident risks are highest they malfunction or even fail. Now that we are progressing towards automated cars and work machines, the requirements of fully reliable environment perception are only accentuated.
The project is focusing on automated driving and its key enabling technology, environment perception. Consequently, project’s main objective is to develop and validate an all-weather sensor suit for traffic services, driver assistance and automated driving. Extended driving environment perception capability with smart, reliable and cost-efficient sensing system is necessary to meet the targets of all future driver assistance system applications. These targets need to be met regardless of location, weather or time of the day. Only by means of reliable and robust sensing system upcoming automated driving will be possible. The new sensor suit is based on a smart integration of three different technologies: (i) Radio radar, 77 GHz-81 GHz, (MIMO Radar); (ii) Gated short wave infrared camera with pulsed laser illumination (SWIR camera)and (iii) Short-wave infrared LIDAR (SWIR Lidar). Such a full fusion approach has never been investigated before, so that the outcome will advance the state-of-the-art significantly and demonstrate the potential of all-weather environment perception.
DENSE innovation lies in the provision of a brilliant restored enriched colour image from a degraded infrared image and consequently, this is followed by a variety of application fields for low cost solutions. An important aim is also to close the gap to US developments in the field and avoid their restrictions for selling components overseas for strategic reasons and strengthen the position of European industry in worldwide competition.
Fields of science
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- engineering and technologymaterials engineeringcolors
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensorsoptical sensors
- engineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunicationsradio technologyradar
- natural sciencesphysical sciencesopticslaser physicspulsed lasers
- natural sciencescomputer and information sciencesartificial intelligencecomputational intelligence
Programme(s)
Topic(s)
Call for proposal
H2020-ECSEL-2015-1-RIA-two-stage-Master
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H2020-ECSEL-2015-1-RIA-two-stage
Funding Scheme
ECSEL-RIA - ECSEL Research and Innovation ActionCoordinator
70372 Stuttgart
Germany
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Participants (18)
Participation ended
447 83 Vargarda
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Participation ended
447 00 Vargarda
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76800 Saint-Etienne-Du-Rouvray
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69500 Bron
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40547 DUSSELDORF
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Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure.
92130 Issy Les Moulineaux
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22143 Hamburg
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
6546BE Nijmegen
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
33720 Tampere
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
79100 LEPPAVIRTA
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
92100 Boulogne Billancourt
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33100 Tampere
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89081 Ulm
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01670 Vantaa
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02150 Espoo
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3001 Leuven
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
447 37 Vargarda
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Participation ended
70372 Stuttgart
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