Blog Posts

Radar modules require efficient antennas, which radiate the FMCW radar signal from the transceiver and receive the echoes created by the obstacles in the environment.

Introducing a high-speed simulator for R-Car S4, the Renesas QEMU Environment.

Blog discussing Renesas’ AI offerings after integrating Reality AI software tools.

The electrification of automobiles is rapidly progressing around the world. In this blog, we will introduce the market and technology trends of electric vehicle (EV) charging stations.

Introduces Renesas' efforts to optimize performance, circuit size and power consumption of accelerators for deep neural networks used in AI processing in SoCs for AD and ADAS in the early design stage.

Among several types of DNN simulators we provide for R-Car SoC, we will focus on Accurate Simulator, which reproduces operations equivalent to those on actual devices, and explain how to apply it to network analysis and accuracy improvement.

This blog discusses Renesas’ journey toward becoming a full-spectrum technology solutions provider and its latest Winning Combinations program, which triggered a major shift in customer engagement and company mindset.

本ブログは、ルネサスが提供するxEVインバータアプリケーションモデル&ソフトウェアの特長を説明します。

Learn how you can leverage our decades of experience designing smart, secure MCUs backed by a dual-source production model, the industry’s most advanced MCU process technology and vast network of ecosystem partners.

Power over Data Line (PoDL) is ideal for small sensor and actor applications. To support customers, Renesas has prepared a PoDL reference design and tested it for a radar use case.