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DENSE SIGNED

aDverse wEather eNvironmental Sensing systEm

Total Cost €

0

EC-Contrib. €

0

Partnership

0

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Project "DENSE" data sheet

The following table provides information about the project.

Coordinator
MERCEDES-BENZ AG 

Organization address
address: MERCEDESSTRASSE 120
city: STUTTGART
postcode: 70372
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 Germany [DE]
 Project website http://www.dense247.eu
 Total cost 14˙312˙279 €
 EC max contribution 4˙221˙232 € (29%)
 Programme 1. H2020-EU.2.1.1.7. (ECSEL)
 Code Call H2020-ECSEL-2015-1-RIA-two-stage
 Funding Scheme ECSEL-RIA
 Starting year 2016
 Duration (year-month-day) from 2016-06-01   to  2020-02-29

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    MERCEDES-BENZ AG DE (STUTTGART) coordinator 232˙111.00
2    DAIMLER AG DE (STUTTGART) participant 813˙223.00
3    XENICS NV BE (LEUVEN) participant 570˙260.00
4    CENTRE D ETUDES ET D EXPERTISE SUR LES RISQUES L ENVIRONNEMENT LA MOBILITE ET L AMENAGEMENT FR (BRON) participant 400˙614.00
5    Teknologian tutkimuskeskus VTT Oy FI (Espoo) participant 339˙369.00
6    UNIVERSITAET ULM DE (ULM) participant 306˙710.00
7    INNOLUCE BV NL (NIJMEGEN) participant 283˙125.00
8    IBEO AUTOMOTIVE SYSTEMS GMBH DE (HAMBURG) participant 218˙754.00
9    VEONEER FRANCE SAS FR (SAINT-ETIENNE-DU-ROUVRAY) participant 187˙506.00
10    MODULIGHT OY FI (TAMPERE) participant 173˙025.00
11    VAISALA OYJ FI (VANTAA) participant 145˙312.00
12    HITACHI EUROPE GMBH DE (DUSSELDORF) participant 131˙484.00
13    RENAULT SAS FR (BOULOGNE BILLANCOURT) participant 115˙312.00
14    TAMPEREEN KORKEAKOULUSAATIO SR FI (TAMPERE) participant 95˙000.00
15    VEONEER SWEDEN AB SE (VARGARDA) participant 90˙116.00
16    AUTOLIV DEVELOPMENT AB SE (VARGARDA) participant 69˙379.00
17    OPLATEK GROUP OY FI (LEPPAVIRTA) participant 45˙000.00
18    AUTOLIV SVERIGE AB SE (VARGARDA) participant 4˙927.00
19    TTY-SAATIO FI (TAMPERE) participant 0.00

Map

 Project 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.

 Deliverables

List of deliverables.
Dissemination plan Documents, reports 2020-02-21 18:11:05
System needs and benchmarking Documents, reports 2020-02-21 18:11:05
Overall system requirements Documents, reports 2020-02-21 18:11:06
Characteristics of Adverse Weather Conditions Documents, reports 2020-02-21 18:11:05
Website Websites, patent fillings, videos etc. 2020-02-21 18:11:05

Take a look to the deliverables list in detail:  detailed list of DENSE deliverables.

 Publications

year authors and title journal last update
List of publications.
2019 Pierre Duthon, Michèle Colomb, Frédéric Bernardin
Light Transmission in Fog: The Influence of Wavelength on the Extinction Coefficient
published pages: 2843, ISSN: 2076-3417, DOI: 10.3390/app9142843
Applied Sciences 9/14 2020-03-05
2019 Tobias Gruber, Frank Julca-Aguilar, Mario Bijelic, Werner Ritter, Klaus Dietmayer, Felix Heide
Gated2Depth: Real-time Dense Lidar from Gated Images
published pages: , ISSN: , DOI:
International Conference on Computer Vision (ICCV) 2020-03-05
2019 Maria Jokela, Matti Kutila, Pasi Pyykönen
Testing and Validation of Automotive Point-Cloud Sensors in Adverse Weather Conditions
published pages: 2341, ISSN: 2076-3417, DOI: 10.3390/app9112341
Applied Sciences 9/11 2020-02-28
2018 Paula Kysela
Development of an Image Enhancing System for Autonomous Driving based on Generative Adversial Network
published pages: , ISSN: , DOI:
2020-02-28
2019 Andreas Pfeuffer, Klaus Dietmayer
Robust Semantic Segmentation in Adverse Weather Conditions by means of Sensor Data Fusion
published pages: , ISSN: , DOI:
22st International Conference on Information Fusion (FUSION) (2019) 2020-02-28
2019 Jukka Viheriälä, Antti T. Aho, Topi Uusitalo, Jari Lyytikäinen, Lauri Hallman, Boris S. Ryvkin, Eugene A. Avrutin, Juha T. Kostamovaara, and Mircea Guina
High-power 1.5μm laser diodes for LIDAR applications
published pages: , ISSN: , DOI:
IEEE High Power Diode Lasers & Systems Conference 2020-02-28
2018 Alexander Hunt
Vision Enhancement for Autonomous Driving under Adverse Weather Conditions using Generative Adversial Nets
published pages: , ISSN: , DOI:
2020-02-28
2019 Pfeuffer, Andreas; Dietmayer, Klaus
Separable Convolutional LSTMs for Faster Video Segmentation
published pages: , ISSN: , DOI:
2019 22st International Conference on Intelligent Transportation Systems (ITSC) 4 2020-02-28
2018 Pfeuffer, Andreas; Dietmayer, Klaus
Optimal Sensor Data Fusion Architecture for Object Detection in Adverse Weather Conditions
published pages: , ISSN: , DOI:
21st International Conference on Information Fusion (FUSION) 2018, Cambridge, UK 1 2020-02-21
2018 Paaso, Henna
Direction of arrival estimation algorithms for leaky-wave antennas and antenna arrays
published pages: , ISSN: , DOI:
2020-02-21
2018 Antti T. Aho, Jukka Viheriala, Heikki Virtanen, Topi Uusitalo, Mircea Guina
High-Power 1.5-$mu$ m Broad Area Laser Diodes Wavelength Stabilized by Surface Gratings
published pages: 1870-1873, ISSN: 1041-1135, DOI: 10.1109/lpt.2018.2870304
IEEE Photonics Technology Letters 30/21 2020-02-21
2017 Jukka Viheriälä, Antti T. Aho, Heikki Virtanen, Mervi Koskinen, Michael Dumitrescu, Mircea Guina
1180 nm GaInNAs quantum well based high power DBR laser diodes
published pages: 100860K, ISSN: , DOI: 10.1117/12.2251317
High-Power Diode Laser Technology XV 2020-02-21

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

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