Neusoft Reach’s Ambarella-based front ADAS mass production in mainstream passenger car models

The third generation of Neusoft Reach’s X-Cube 3.0 front view smart camera is based on Ambarella’s CV22 AI vision system-on-chip (SoC), which runs the camera’s L2 AI perception algorithm.

The X-Cube 3.0 is currently being implemented in mass production, providing safe and efficient passenger car technologies and solutions for OEMs based on Ambarella’s CV22 platform.

Building on Neusoft’s nearly 20 years of experience in developing AI vision algorithms for autonomous driving, Neusoft Reach’s in-house neural network algorithms fully utilise the high AI performance and powerful image processing capabilities of Ambarella’s CV22 SoC to achieve the simultaneous deployment of multiple models, including detection, segmentation and semantic classification.

Optimised training is carried out for the driving environment with localised characteristics in China, including structural road conditions and complex traffic scenarios, such as non-standard vehicles, pedestrians with abnormal posture, obscured pedestrians, fences, roadblocks and special lane lines.

Neusoft Reach’s AI models achieved significant performance improvements through the unstructured-sparsity capability of Ambarella’s CVflow AI architecture, along with the support of tools from their CVflow platform and local technical team. These improvements marked a breakthrough in optimisation efficiency and enabled high algorithm accuracy, which provides users with a safer and more comfortable driving experience.

Ambarella’s CV22 SoC is based on its proprietary and highly efficient CVflow AI processing architecture, which enables the industry’s best AI performance per watt. Additionally, this chipset uses a 10nm, automotive-grade process technology to help achieve low power consumption.

Having supported mass production for many passenger vehicles in recent years, Ambarella’s CVflow platform toolchain offers proven support for a wide variety of neural networks.

Additionally, the platform optimises model importing, including quantisation, sparsification, compilation, and operation. In particular, it supports unstructured sparsity, as well as retraining to compensate for quantisation accuracy loss, which provides advantages such as high execution efficiency and low memory bandwidth usage when running the same network.

The Ambarella CVflow platform also provides customers with extensive documentation and includes examples of various open-source networks, as well as training videos. The company’s local support teams communicate seamlessly with customers to assist them in maximising the benefits of their algorithms and systems, while advancing their intelligent innovation.

“The real-world implementation of L2 and above intelligent driving functions requires fine-tuned application algorithms, optimised chip capabilities, functional safety, hardware security and platform-based rapid iterative reuse,” said Liu Wei, Deputy General Manager of Neusoft Reach. “Component suppliers must also have excellent algorithms and a powerful software architecture, along with high-performance and highly reliable automotive-grade chips. This cooperation between Ambarella and Neusoft Reach showcases our effective implementation of autonomous algorithms, providing innovative technology solutions for the industry while helping to create a new ecology of intelligent networked vehicles.”

“It is gratifying to see our work with Neusoft Reach on their L2 front-ADAS smart camera product achieving mass production in a range of OEM passenger cars,” said Fermi Wang, President and CEO of Ambarella. “Our CVflow SoCs provide a high-performance AI processing engine for Neusoft Reach’s advanced neural network algorithms. Additionally, our integrated image signal processor continues to set the industry benchmark for image quality, while our efficient SoC architecture provides the industry’s best AI performance per watt.”

Ambarella and Neusoft Reach plan to continue their cooperation in China, using Ambarella’s next-generation SoCs to continue creating intelligent driving systems with distinct technology advantages. The companies also plan to continue their joint development of L2 ADAS products for passenger cars in China, helping OEMs bring additional models into mass production that provide consumers with a safer and more comfortable driving experience.