New Insights into the Side-Face Structure, Growth Aspects, and Reactivity of Agn Nanoprisms

We report an improved synthesis of colloidal Agn nanoprisms using carboxyl compounds (citrate or succinate) and long chain macromolecules (polyvinylpyrrolidone (PVP)). The side-facet structure of the triangular nanostructure was determined in detail using electron tomography in scanning transmission mode (3D STEM) and HRTEM. It has been found that they are built up by {100} facets with a single parallel twin plane. The best conditions for producing uniform Ag nanoprisms with tunable sizes and high yields in the presence of carboxyl compounds additive system are described, and a growth mechanism is proposed. This approach provides also a route to synthesize Ag nanodisks and Au−Ag alloyed nanoprisms

Programmable Systems for Intelligence in Automobiles (PRYSTINE): Final results after Year 3

Autonomous driving is disrupting the automotive industry as we know it today. For this, fail-operational behavior is essential in the sense, plan, and act stages of the automation chain in order to handle safety-critical situations on its own, which currently is not reached with state-of-the-art approaches.The European ECSEL research project PRYSTINE realizes Fail-operational Urban Surround perceptION (FUSION) based on robust Radar and LiDAR sensor fusion and control functions in order to enable safe automated driving in urban and rural environments. This paper showcases some of the key exploitable results (e.g., novel Radar sensors, innovative embedded control and E/E architectures, pioneering sensor fusion approaches, AI-controlled vehicle demonstrators) achieved until its final year 3

Programmable systems for intelligence in automobiles (PRYSTINE): Final results after Year 3

Autonomous driving is disrupting the automotive industry as we know it today. For this, fail-operational behavior is essential in the sense, plan, and act stages of the automation chain in order to handle safety-critical situations on its own, which currently is not reached with state-of-the-art approaches. The European ECSEL research project PRYSTINE realizes Fail-operational Urban Surround perceptION (FUSION) based on robust Radar and LiDAR sensor fusion and control functions in order to enable safe automated driving in urban and rural environments. This paper showcases some of the key exploitable results (e.g., novel Radar sensors, innovative embedded control and E/E architectures, pioneering sensor fusion approaches, AI-controlled vehicle demonstrators) achieved until its final year 3