Explore the words cloud of the DENSE project. It provides you a very rough idea of what is the project "DENSE" about.
The following table provides information about the project.
Coordinator |
MERCEDES-BENZ AG
Organization address contact info |
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 |
Take a look of project's partnership.
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.
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.
year | authors and title | journal | last update |
---|---|---|---|
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.