Renesas helps Nissan Leaf with automated parking

The Nissan Leaf uses Renesas technology for automated parking

The new Nissan Leaf, which debuted this week, uses the Renesas R-Car system-on-chip for car infotainment and adas as well as its RH850 automotive control MCU for the ProPilot Park, a full-fledged automated-parking system.

The parking facility recognises spaces adequate for parking, verifies that there are no obstacles in the way, and handles the role of issuing control commands for acceleration, braking, steering and gear changing.

The R-Car SoC includes the firm’s Imp parallel image processor dedicated for image processing. The Imp takes the high-resolution images from the cmos digital cameras and performs high-speed, low-power signal processing. The MCU accepts the chassis control commands from the SoC and transmits these commands to the various ECUs used. This enables the car to achieve a safe and reliable parking operation.

"As part of our efforts to promote the spread of the driving assistant technologies, Nissan has been the pioneer in the industry in around view monitor implementation thanks to Renesas’ image processors,” said Takashi Yoshizawa, vice president at Nissan Motor. “I am very pleased that together with Renesas we were able to bring the ProPilot Park, which is a full-fledged automated-parking feature, in our new Nissan Leaf.”

Based on the newly launched Autonomy, an adas and automated driving platform, Renesas enables a safe, secure and convenient driving experience by providing innovations for next-generation vehicles.

"We believe from our expertise and long-time experience in the automotive area that, in addition to achieving performance and quality, the balance between the control of heat, space and other parameters is also essential,” said Ryuji Omura, executive vice president at Renesas Electronics. “We are proud that our track record has been recognised with the adoption of our automotive chips in Nissan's new automated-parking system. Renesas is poised to delivering innovative technologies for autonomous driving to foster the advancement of the automotive industry."


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