Qualcomm Technologies, Inc. a subsidiary of Qualcomm Incorporated, unveiled at the 2020 Consumer Electronics Show (CES) its newest addition to the company’s extensive portfolio of automotive products with the new Qualcomm® Snapdragon Ride™ Platform – one of the automotive industry’s most advanced, scalable and open autonomous driving solutions, which consists of the family of Snapdragon Ride™ Safety system-on-chips (SoCs), Snapdragon Ride™ Safety Accelerator and Snapdragon Ride™ Autonomous Stack.
Snapdragon Ride aims to address the complexity of autonomous driving and ADAS by leveraging its high-performance, power-efficient hardware, industry-leading artificial intelligence (AI) technologies and pioneering autonomous driving stack to deliver a comprehensive, cost and energy efficient systems solution. The unique combination of Snapdragon Ride SoCs, accelerator and autonomous stack offers automakers a scalable solution designed to support three industry segments of autonomous systems, namely L1/L2 Active Safety ADAS for vehicles that include automatic emergency braking, traffic sign recognition and lane keeping assist functions; L2+ Convenience ADAS for vehicles featuring Automated Highway Driving, Self-Parking and Urban Driving in Stop-and-Go traffic; and L4/L5 Fully Autonomous Driving for autonomous urban driving, robo-taxis and robo-logistics.
The Snapdragon Ride Platform, based on the Snapdragon family of automotive SoCs and accelerator, is built on scalable and modular heterogenous high-performance multi-core CPUs, energy efficient AI and computer vision (CV) engines, industry-leading GPU. The platform with combination of SoCs and accelerator can be used as needed to address every market segment offering industry-leading thermal efficiency, from 30 Tera Operations Per Second (TOPS) for L1/L2 applications to over 700 TOPS at 130W for L4/L5 driving. This platform can therefore result in designs that can be passively or air-cooled, thereby reducing cost, and increasing reliability, avoiding the need for expensive liquid cooled systems and allowing for simpler vehicle designs, and extending the driving range for electric vehicles. The Snapdragon Ride SoCs and accelerator are designed for functional safety ASIL-D systems.
Snapdragon Ride is expected to be available for pre-development to automakers and tier-1 suppliers in the first half of 2020. Qualcomm Technologies anticipates Snapdragon Ride-enabled vehicles to be in production in 2023.
“Over the years, we have consistently demonstrated our prowess in large-scale deployment of high-performance and highly intelligent cockpit and connected car solutions that operate in power-constrained environments across virtually every class of vehicle. Today, we are pleased to be introducing our first-generation Snapdragon Ride platform, which is highly scalable, open, fully customizable and highly power optimized autonomous driving solution designed to address a range of requirements from NCAP to L2+ Highway Autopilot to Robo Taxis. Combined with our Snapdragon Ride Autonomous Stack, or an automaker or tier-1’s own algorithms, our platform aims at accelerating the deployment of high-performance autonomous driving to mass market vehicles,” said Nakul Duggal, senior vice president, product management, Qualcomm Technologies, Inc. “We’ve spent the last several years researching and developing our new autonomous platform and accompanying driving stack, identifying challenges and gathering insights from data analysis to address the complexities automakers want to solve.”
Qualcomm Technologies Safety SoC and Accelerator Hardware and Software Solutions
While the company believes the next wave of innovation may be in the L2+ Convenience ADAS segment, the hardware solutions utilized in Snapdragon Ride from a single system-on-chip (SoC) for an Active Safety ADAS system driven by regulatory mandates to a highly scalable architecture of multiple SoCs and dedicated autonomous driving accelerators allowing for fully autonomous self-driving systems.
Qualcomm Technologies’ family of ADAS SoCs and accelerators are built on the fundamental approach of heterogeneous compute capabilities designed for application requirements. These ADAS SoCs and accelerators effectively manage a large amount of data from onboard systems, leveraging Qualcomm Technologies
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