Session Description: While some automakers already developing systems that are targeting level 4 automated driving which means “eyes off”, most companies are still trying hard to get level 3 automated cars in production.
Radar, Lidar and Camera are the key sensors to enable level 3-5 autonomous driving up to 130 km/h. However, these sensors need to be significantly improved in terms of resolution, safety, power consumption, form factor and cost.
Hence, future cars will be equipped with sensor clusters, more computing power, AI-based systems, car-to-car communication technology, high-bandwidth Ethernet networks, and integrated cockpits.
All these new technologies create new challenges for automotive suppliers, such as more complex electronic systems which require to integrate more functionality on a chip, rather than on a PCB to provide the performance, safety and reliability in a small form factor device. As a result, suppliers will need to design a new class of high-performance System-on-Chip (SoC) and/or System-in-Package (SiP) to process all sensor data and fuse them together to enable vehicles to become “aware” of their surroundings.
Cadence's automotive solutions can help you to enable such highly integrated systems that can make cars safer and more reliable. This talk provides an overview on automotive SoC and System enablement with a focus on Sensors and Advanced Driver Assist Systems (ADAS).
Robert Schweiger Bio: Robert Schweiger is Director Automotive Solutions at Cadence Design Systems. In this worldwide role he is responsible for driving the development of Automotive Solutions across all Cadence product lines covering tools, IP and services.
Robert joined Cadence in 2002 and is based in Munich/Germany. Before his automotive assignment in 2012 he was responsible for the Virtuoso Custom IC product line in Europe.
Before joining Cadence he held various management and engineering positions at Avant! Corporation and Analogy.
Robert received his master degree in electrical engineering from the Munich University of Applied Sciences.