About Session
The shift toward Software-Defined Vehicles (SDVs) is revolutionizing autonomous driving by enabling a more flexible, scalable, and intelligent vehicle architecture. Traditional hardware-centric approaches limit adaptability, while SDVs leverage AI-driven perception, sensor fusion, and advanced computing to enhance real-time decision-making. This presentation explores how SDVs, combined with zonal-domain architectures, optimize perception pipelines, AI processing, and data distribution, enabling robust and efficient Level 4 autonomy. Key topics include AI-powered perception models, sensor integration strategies, and the role of edge computing in minimizing latency and improving safety.
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