Project description
Advanced sensing technologies for the health and automotive sectors
Smart complex systems have become of great significance particularly in healthcare and autonomous driving domains. The precision and timeliness of the decisions depend on the systems’ capacity to accurately understand individuals and their environment. The EU-funded NextPerception project will advance perception sensing technologies such as radar, LiDAR and time-of-flight cameras, improving and allowing them to better detect human conduct and physiological parameters. The project will develop next-generation smart perception sensors and improve the distributed intelligence model, aiming to establish adaptable, safe, reliable and dynamic human monitoring solutions for the health, well-being and automotive sectors. The new distributed intelligent model will be supported by specific instruments based on the advantages of edge and cloud computing.
Objective
We put our lives increasingly in the hands of smart complex systems making decisions that directly affect our health and wellbeing. This is very evident in healthcare - where systems watch over your health - as well as in traffic - where autonomous driving solutions are gradually taking over control of the car. The accuracy and timeliness of the decisions depend on the systems’ ability to build a good understanding of both you and your environment, which relies on observations and the ability to reason on them.
This project will bring perception sensing technologies like Radar, LiDAR and Time of Flight cameras to the next level, enhancing their features to allow for more accurate detection of human behaviour and physiological parameters. Besides more accurate automotive solutions ensuring driver vigilance and pedestrian and cyclist safety, this innovation will open up new opportunities in health and wellbeing to monitor elderly people at home or unobtrusively assess health state.
To facilitate building the complex smart sensing systems envisioned and ensure their secure and reliable operation, the new Distributed Intelligence paradigm will be embraced, enhanced and supported by tools. It leverages the advantages of Edge and Cloud computing, building on the distributed computational resources increasingly available in sensors and edge components to distribute also the intelligence.
The goal of this project is to develop next generation smart perception sensors and enhance the distributed intelligence paradigm to build versatile, secure, reliable, and proactive human monitoring solutions for the health, wellbeing, and automotive domains
The project brings together major industrial players and research partners to address top challenges in health, wellbeing, and automotive domains through three use cases: integral vitality monitoring for elderly and exercise, driver monitoring, and providing safety and comfort for vulnerable road users at intersections.
Fields of science
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensorsoptical sensors
- engineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunicationsradio technologyradar
Keywords
Programme(s)
Topic(s)
Call for proposal
H2020-ECSEL-2019-2-RIA-two-stage
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H2020-ECSEL-2019-2-RIA
Funding Scheme
RIA - Research and Innovation actionCoordinator
02150 Espoo
Finland
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Participants (43)
39011 Santander
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16122 Genova Ge
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
20521 Turku
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
70839 Gerlingen-Schillerhoehe
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601 90 Brno Stred
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621 00 Brno
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
28219 Bremen
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
3945 Ham
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
28006 Madrid
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57170 Savonlinna
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
60131 Ancona
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
1018AV Amsterdam
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
27400 Lugo
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
2321 Meer
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28036 Madrid
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
150 00 PRAHA 5
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
5656 AE Eindhoven
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3001 Leuven
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25198 Lleida
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5590 AB Heeze
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3000 Leuven
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1140 Bruxelles / Brussel
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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.
22529 Hamburg
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5656AG Eindhoven
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9000 Gent
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
42100 REGGIO EMILIA
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
16122 Genova
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
18014 Granada
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
38108 Braunschweig
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
Participation ended
5061 PR Oisterwijk
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
8870 Izegem
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2595 DA Den Haag
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05200 Rajamaki
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
01069 Dresden
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5612 AE Eindhoven
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40126 Bologna
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28359 Bremen
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43121 PARMA
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80135 Napoli
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10124 Torino
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36310 Vigo Pontevedra
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5684 PJ BEST
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.