We discuss the uniqueness of AI/ML tools when considering safety, give an overview of what are the AI/ML tools, how they contribute to ADAS/AD development, and explore the challenges in ensuring confidence in use of AI/ML software tools.
Efficient development using the security solution for Renesas automotive 16-bit microcontroller RL78 (Free sample software, Security Renesas Solution Starter Kit)!
AI-MPU RZ/V2MA is newly added on Renesas RZ/V series lineup. I would like to introduce this AI MPU’s three major use cases.
This blog presents a discussion on the various indoor air quality standards in the marketplace today and Renesas’ approach.
The new RAA2S425x Family of ICs for automotive pressure sensing systems provide highly accurate amplification and sensor-specific correction of signals in automotive xEV/PHEV/FCEV and BEV pressure sensing braking, transmission and HVAC systems.
Chiaki introduces an efficient development environment that reduces porting resources between different CPU such as Arm and RISC-V.
This blog introduces an infusion level monitoring solution to detect the remaining amount of liquid using capacitive touch sensors implemented with low-cost copper electrodes.
HVPAK chips combine resources to design both flexible motor control and mixed-signal logic using a single chip. Free GUI-based Go Configure™ Software Hub makes the design process intuitive and swift.
Welcoming you to accelerate functional safety solution deployment by using a comprehensive Renesas Functional Safety Package, the integral part for developers.
In this blog, we will analyze the main architecture trends for the implementation of the next generations of automotive radar systems.