The talk by Prof. Sergio Saponara will focus on sensor and measurement systems for new generations of vehicles with driver-assisted/autonomous capability. This is the main trend that is revolutionizing vehicles and the mobility of people and goods and is also making our cities smart.
The economic and social impacts of this application field are huge and the borders between automotive and ICT are blurring with huge investments from conventional automotive carmakers and tier-1 component providers but also from ICT and semiconductor companies.
The key enabling technologies for this scenario are sensing and measurement systems, needed for accurate vehicle positioning and navigation, vehicle context-awareness, obstacle detection and collision avoidance, and driver-assistance.
During the lecture, Prof Saponara will outline innovation and market trends in the above domain including discussions about new context-aware sensors (Radar, Lidar, cameras) and their data processing needing AI & high-performance computing platforms, as well as on-board sensors for positioning and navigation, including recent advances in MEMS accelerometers and gyroscope. Finally, we will analyze the trend in computing platforms, where multi-core and heterogeneous architectures and machine learning/AI (artificial intelligence) techniques are used to manage in real-time multiple and heterogeneous sources of measurements and take autonomous decisions.
