Retronix Technology, based on years of experience in developing embedded system solutions, continues to invest in the integration of smart cockpit systems, establishing a vehicle platform based on Renesas R-Car. Focusing on integrating camera modules, panel modules, AI vision, safety assistance, it also provides R-Car architecture design and BSP, SDK licensing services.
ISP Tuning
In order to achieve better image quality, it is necessary to adjust the ISP (Image Signal Processing) parameters of the camera's input image during the system development process. This adjustment allows the system to adapt to different environments and realistically reproduce the details as seen by the human eye.
The ISP tuning process involves converting the signal output from the image sensor into a standard full-color representation (such as sRGB or a similar color format, or compressing it into an appropriate format). The main processes include demosaicing, noise reduction, white balance adjustment, exposure correction, sharpening, color conversion, encoding, and others.
The ISP tuning process involves converting the signal output from the image sensor into a standard full-color representation (such as sRGB or a similar color format, or compressing it into an appropriate format). The main processes include demosaicing, noise reduction, white balance adjustment, exposure correction, sharpening, color conversion, encoding, and others.
IVI Solution
Integrated driver's cockpit and car networking to provide optimized functionality and performance. One-core multi-screen output supports multiple operating systems, allowing each display to operate independently and securely. Enhanced 3D graphics performance optimizes the human-machine interface, allowing drivers to operate more intuitively.
AI Assistance
Using cameras and sensors installed on the vehicle to identify the surrounding environment and calculate the driving route by AI. Additionally, when a collision risk occurs, this AI system will also generate the alert message.
ADAS Solution
Implementing deep learning technology with low power consumptions to integrate various sensors such as automotive cameras, radars, and LiDAR for high-speed image recognition and processing of surrounding objects. Focusing on architectural optimization for computer vision processing has enabled the realization of all relevant ADAS functions, from conditional automated driving to full self-driving.
R-Car Consortium Partner
Renesas established the R-Car Consortium in 2005 as an open platform environment for the automotive market. Retronix Technology officially became an R-Car Consortium Partner in 2022.