Image signal processor designed for automotive camera systems

19th September 2018
Source: Renesas
Posted By : Lanna Cooper
Image signal processor designed for automotive camera systems

Renesas has introduced an integrated open Image Signal Processor (ISP) solution to further ease and speed the development of automotive smart camera applications based on the Renesas high performance R-Car V3M and R-Car V3H System-on-Chips (SoCs). Integrating the ISP on the R-Car V3x SoCs and leveraging MM Solutions’ Automotive Camera Development Kit (AutoCDK), the open ISP solution on R-Car SoCs enables automotive Tier 1s to simplify the sensor calibration and tuning process for camera applications.

This includes front camera and surround view, offering high flexibility and faster time to market.

Renesas will demonstrate the Open ISP Solution using the Renesas R-Car V3M, MM Solutions’ AutoCDK, and Sony’s IMX390 image sensor in booth 6 at AutoSens 2018, 17th-20th September, 2018, Brussels, Belgium.

Part of the Renesas autonomy Platform, the open ISP solution supports a range of development needs, from low level programming ISP capabilities via the open interface for users with deep in-house ISP expertise, to the AutoCDK that allows users to jumpstart their development leveraging the MM Solutions tools and image quality expertise.

Vehicles in the autonomous driving era will be required to sense their environments, and smart cameras - including front cameras and surround view systems - play a key role in detecting traffic signs, lanes, pedestrians, vehicles, and other obstacles in real time to create a safe and secure driving environment.

The demand for high performance computer vision creates several requirements, including highly reliable, highly configurable ISPs that support high dynamic ranges in challenging driving situations as well as low noise performance and imagery perception close to that of a human eye’s level - or beyond. At the same time, drivers will want to see a realistic visual representation of the surrounding of the car, where the ISP plays an important role for image adjustment.

In collaboration with MM Solutions, Renesas has developed an open ISP solution that helps users tune and control their sensors to support both human vision and machine vision. Integrating the ISP vision processing software onto the high performance R-Car V3x SoCs provides a camera-neutral approach, offering camera manufacturers and Tier 1s the flexibility to work with their ECU and sensor solutions of choice whether they are entering the smart camera market or refining their designs.

“The integrated ISP of our R-Car V3x SoCs provides customers flexibility and an excellent imaging quality, and substantially reduces the bill of materials of their camera systems, enabling them to bring their competitive products to market quickly,” said Jean-Francois Chouteau, Vice President of Automotive Solution Business Unit, Renesas Electronics.

Developing the software solution as part of the Renesas autonomy Platform allows customers to take advantage of robust off-the-shelf middleware as well as privileged access to the image quality expertise of our world-renowned partner MM Solutions.”

“Turn-key ISP solutions that support multiple platforms are essential to achieving excellent camera quality while meeting increasingly shorter time-to-market challenges for front camera, surround view, and other automotive camera applications,” said Ivan Poibrenski, Managing Director of MM Solutions.

“We are excited to collaborate with Renesas on this integrated open ISP solution, offering customers the strength of our image quality expertise combined with Renesas’ SoC design leadership in an easy-to-deploy solution that supports their camera platform of choice.”

“Achieving high dynamic range and LED flicker mitigation simultaneously is the key challenge for ADAS camera systems,” said Tsutomu Haruta, Deputy Senior General Manager, Sony Semiconductor Solutions. “The combination of Renesas’ ISP solution and Sony’s image sensors enables our automotive customers to overcome this challenge and realise a superior image quality.”


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