The automotive sector is transitioning to software-defined vehicles, focusing on unified compute solutions for central processing, zonal architectures, in-cabin sensing, and digital cockpits. With AI/ML enhancing vehicle functionalities, cars are becoming akin to mobile devices, especially as we advance towards autonomous driving requiring numerous sensors like vision/radar/lidar. This evolution necessitates high-performance compute and interface IP; previously, separate processors handled sensing, but there's now a demand for integrated processors and specialized SoCs for infotainment, supporting multi-channel audio and voice input. AI is also becoming crucial for radar and sensor fusion, and this presentation will delve into how Cadence Tensilica compute (DSPs, accelerators) and interface IP (PCIe, MIPI) address these emerging automotive demands.
