
NOTION SYSTEMS GMBH
NOTION SYSTEMS GMBH
1 Projects, page 1 of 1
Open Access Mandate for Publications and Research data assignment_turned_in Project2020 - 2024Partners:EVG, FOUNDATION FOR RESEARCH AND TECHNOLOGYHELLAS, CEA, AUSTRIAN STANDARDS INSTITUTE OSTERREICHISCHES NORMUNGSINSTITUT, SENTECH INSTRUMENTS GMBH +11 partnersEVG,FOUNDATION FOR RESEARCH AND TECHNOLOGYHELLAS,CEA,AUSTRIAN STANDARDS INSTITUTE OSTERREICHISCHES NORMUNGSINSTITUT,SENTECH INSTRUMENTS GMBH,Robert Bosch (Germany),NOTION SYSTEMS GMBH,INKRON,BESI,TIGER Coatings,P.V. NANO CELL LTD,MARELLI AUTOMOTIVE LIGHTING ITALIA SPA,Infineon Technologies (Germany),AMIRES SRO,PROFACTOR,INFINEON TECHNOLOGIES LINZ GMBH & CO KGFunder: European Commission Project Code: 958472Overall Budget: 10,241,500 EURFunder Contribution: 10,241,500 EURThe vision of TINKER is to provide a new cost- and resource efficient pathway for RADAR and LIDAR sensor package fabrication with high throughput up to 250units/min, improved automation by 20%, improved accuracy by 50% and reliability by a factor of 100 to the European automotive and microelectronic industry via additive manufacturing and inline feedback control mechanisms. Autonomous driving and self-driving cars represent one prominent example for the use of microelectronics and sensor, most importantly RADAR and LIDAR sensors. Their respective markets have a big potential, e.g. it is estimated that the market size of LIDAR in automotive will double itself in the next two years (within 2020 to 2022). The public awareness and the industrial need for further miniaturization of such sensor packages is the main driver of ongoing efforts in the automotive sector to be able to integrate such devices into the car body like in the bumps and head lamps instead of attaching them (e.g. on top of the car in case of LIDAR device). Safety (for the driver and others) is the most important key aspect of the automotive sector. Therefore highly-value and high performance RADAR and LIDAR systems are required for advanced driver-assistance systems (ADAS) as well as robotic cars. Current bottlenecks are relevantly large size of such sensor devices, their weight and power consumption. Since these factors are highly limited within cars, further miniaturization and improving functionality and efficient use of resources is highly demanded.
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