⚡ 本页包含 AI 生成的分析内容，仅供参考
本文提出了一款用于高级驾驶辅助系统（ADAS）的多核SoC，集成了DNN加速器和图像信号处理器，实现了20.5TOPS的峰值性能和217.3GOPS/mm2的能效密度，并符合ISO26262功能安全标准。该SoC解决了ADAS系统中高性能、高能效与功能安全兼容的挑战。
Soichiro Hosoda, Fumihiko Hyuga, Akira Moriya, Ryuji Hada, Atsushi Masuda, Masato Uchiyama, Tomohiro Koizumi, Takanori Tamai, Nobuhiro Sato, Jun Tanabe, Katsuyuki Kimura, Ryusuke Murakami, Takashi Yoshikawa Toshiba Electronic Devices and Storage, Kawasaki, Japan Vehicles with features for an advanced driver-assistance system (ADAS) are already available on the market. Technologies for image recognition are essential elements for ADAS applications, and several SoCs performing image recognition for ADAS have been developed [1-3]. As vehicles that support ADAS become more complicated, these technologies need improvement. Recently, deep neural networks (DNNs) have achieved higher recognition accuracy than traditional feature-based matching algorithms, and can be applied to applications such as road detection. Consequently, several image recognition SoCs with DNN processors [4-5] have been developed. Functional safety is important for
Yutaka Yamada, Toru Sano, Yasuki Tanabe, Yutaro Ishigaki,