Gordon Cooper
Synopsys
Product Marketing Manager

Deep-learning techniques for embedded vision are enabling cars to 'see' their surroundings and have become a critical component in the push toward fully autonomous vehicles. The early use of deep learning for object detection e.g., pedestrian detection and collision avoidance is evolving toward scene segmentation where every pixel of a high-resolution video stream must be identified. This presentation will discuss the current and next-generation requirements for ADAS vision applications, including the need for deep-learning accelerators.