“This collaboration allows our Socionext-developed SoCs to be optimally integrated with our sensing software, resulting in extremely stable operation. This powerful platform requires robust performance and safety. It will be a great solution for the ADAS and autonomous markets,” said Junhwan Kim, CEO of StradVision, Inc.StradVision's SVNet is a very compact depth neural network for image perception that dramatically reduces the network parameter size, required calculation amount, and memory capacity. Despite being a compact network, this product has high object detection performance and recognition accuracy, and is a flexible product that can be customized.SVNet is currently being adopted in mass production models for ADAS and autonomous driving that support safety function levels 2 to 4, and will be installed in more than 9 million vehicles in the German and Chinese markets.
https://www.atpress.ne.jp/news/223041/amp?__twitter_impression=true
2020 BRN Discussion, page-8461
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