In adopting Ambarella’s CV3-AD SoCs, Hyperview’s automated-driving central domain control unit (DCU) will now be able to collect more comprehensive sensing data, and benefit from improved processing speeds – increasing recognition accuracy while enabling more autonomous driving functions.

The CV3-AD family also integrates Ambarella’s CVflow AI computing architecture, which provides optimal processing for Hyperview’s perception and planning algorithm. The SoC’s 5-nm process technology also reduces the system’s overall power consumption. Hyperview’s CV3-AD-based central DCU can, therefore, help OEMs and suppliers simplify automotive thermal-management design and lower power management complexity, while decreasing system costs and the mechanical complexity of vehicles.

Through the collaboration, Hyperview is ultimately seeking to address the needs of the global automotive market. It likewise intends to build advanced autonomous driving products and support the next generation of transportation.

NIO is working to make consumer adoption of smart, performance-packed electric vehicles a widespread reality. At NIO Day, the company’s annual customer event, the EV maker revealed its NVIDIA DRIVE Orin-powered supercomputer, dubbed Adam, which will first appear in the ET7 sedan that will ship in China starting in 2022.

Adam signals a major achievement by NIO in bringing automotive intelligence and autonomous driving to market, safely and reliably. With a centralized, software-defined computing architecture, NIO’s next-generation EVs, like the ET7 sedan, will feature the latest AI-enabled capabilities, which are perpetually upgradable after the point of sale.

NVIDIA Orin is an AV and robotics processor. This scalable supercomputer-on-a-chip family delivers an unprecedented 254 trillions of operations per second (TOPS) while also being able to scale down to entry-level ADAS/Level 2 use cases (10 TOPS/5 watts). NIO will feature four high-performance Orin SoCs in each of its EVs to achieve an industry-leading performance of 1,000+ TOPS — delivering the redundancy and diversity necessary for safe autonomous operation.

Renesas is already investing in LeddarTech SoC development and production for the LeddarEngine, consisting of integrated LiDAR SoCs, the LCA2 and LCA3, and accompanying LiDAR measurement software. These SoCs power the most cost-efficient LiDARs enabling mass deployment of advanced level 2 and 3 passenger car ADAS applications and a broad range of mobility and industrial applications.

This automotive ADAS reference platform expands the companies’ collaboration to the system level with a sensor fusion solution applicable to the camera and RADAR sensor-based systems plus systems that add LiDAR to deliver higher safety and performance. These improvements are achieved with a software-centric and extensible architecture compatible with the Renesas’ R-Car V3U processor and roadmap.

The new R-Car V3U is the first SoC using the R-Car Gen 4 architecture within the open and flexible Renesas autonomy platform for ADAS and AD. With the launch of R-Car V3U, the platform is now ready to offer complete scalability from entry-level NCAP applications up to highly automated driving systems.

Automated driving systems require functional safety up to ASIL D – the highest and most stringent automotive safety integrity level specified under the ISO 26262 standard for road vehicles. The R-Car V3U SoC integrates multiple sophisticated safety mechanisms that provide high coverage with fast detection and response for random hardware faults, and is expected to achieve ASIL D metrics for the majority of the SoC processing chain, as well as reducing design complexity, time to market, and system cost.

The R-Car V3U delivers highly flexible DNN (Deep Neural Network) and AI machine learning functions. Its flexible architecture is capable of handling any neural networks for automotive obstacle detection and classification tasks while maintaining 60 TOPS with low power consumption and an air cooling system.

The R-Car V3U also offers a wide range of programmable engines, including DSP for radar processing, multi-threading computer vision engine for traditional computer vision algorithms, image signal processing to enhance image quality, and additional hardware accelerators for key algorithms such as dense optical flow, stereo disparity, and object classification.

Renesas has developed an open and integrated development environment that enables customers to take advantage of the R-Car platform’s built-in hardware benefits, as well as low power consumption and deterministic real-time software to enable fast time to market for computer vision and deep learning-based solutions.

Easy-to-use debugging and tuning tools for heterogeneous multi-core hardware enable efficient software development while a comprehensive set of example applications and online education resources allows engineers at all levels to jumpstart their design process. Qualified compilers and code generators for compliance with functional safety and cyber security requirements enable the development of safe and secure software development.

Customers can also combine the R-Car V3U with Renesas’ high-performance, low-power RH850 microcontroller, integrated power management ICs, and power transistor devices to access all the key components required for their ADAS and AD ECUs. 

By providing IP that is designed for high temperature operation on 22FDX, Synopsys enables designers to reduce their design effort and accelerate AEC-Q100 qualification of system-on-chips (SoCs) for automotive applications such as eMobility, 5G connectivity, advanced driver assistance systems (ADAS), and infotainment.

The Synopsys DesignWare IP implements additional automotive design rules for the GF 22FDX process to meet stringent reliability and operation requirements. This latest collaboration complements Synopsys’ broad portfolio of automotive-grade IP that provides ISO 26262 ASIL B Ready or ASIL D Ready certification, AEC-Q100 testing, and quality management.