Qualcomm Technologies, a unit of Qualcomm Inc., has unveiled a new computer system for vehicles that include automatic emergency braking, traffic sign recognition and lane keeping assist functions.

The launch made at the 2020 Consumer Electronics Show (CES) includes its newest addition to the 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.

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,” said Nakul Duggal, senior vice president, product management, Qualcomm Technologies, Inc.

“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

“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,” he added. – TradeArabia News Service