On April 4, 2017 at 9AM PT, Alliance member company Synopsys will deliver the free webinar "Deep Learning and Embedded Vision for Automotive ADAS," presented by Gordon Cooper (Product Marketing Manager for Embedded Vision Processors, and the co-author of a collaborative article published by the Embedded Vision Alliance). From the event page:
With new advances in deep learning techniques, embedded vision systems are becoming more sophisticated in enabling vehicles to “see” their surroundings, thereby improving Advanced Driver Assistance Systems (ADAS) technology. The early uses of deep learning for object detection, including pedestrian detection and collision avoidance, is rapidly giving way for scene segmentation where every pixel of a high resolution video stream is identified, classified, and acted on. This webinar will describe the current and next generation requirements for ADAS vision applications, including deep learning accelerator technology.
Attend this webinar to learn:
- Embedded vision’s role in a wide range of ADAS applications
- The evolution of deep learning requirements for autonomous vehicles
- How the coming changes in deep learning will improve ADAS
- How Synopsys’ EV6X Embedded Vision processors with programmable convolutional neural networks (CNN) provide the performance and toolset needed to quickly deploy ADAS applications with high-definition resolutions.
For more information and to register, please see the event page.
