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Unleashing the Potential of Automotive Embedded Systems with BlackBerry QNX

An automotive metaverse-like developer environment is being worked towards, with QNX playing a role in ensuring its achievement.

At the 2023 Consumer Electronics Show (CES), BlackBerry QNX had a noteworthy presence through their exhibit which included showcasing the enhancement of the acoustic experience in software-defined vehicles (SDVs) and the initiation of foundational programs and educational initiatives aimed at boosting software innovation efforts for embedded systems.

Introducing QNX Accelerate

BlackBerry QNX has announced the launch of QNX® Accelerate, an initiative that allows for the cloud-enabled version of the industry-leading QNX® Neutrino® Real-Time Operating System (RTOS) and QNX® OS for Safety to be available on the AWS Marketplace. This marks a significant milestone for embedded systems development as it enables developers worldwide to accelerate development cycles and reduce time-to-market for new, innovative solutions for the Internet of Things (IoT) across various industries including automotive, robotics, medical devices, industrial controls, and aerospace and defense.

Before general availability, early access versions of QNX in the Cloud were made available to select OEMs and Tier 1 suppliers for testing. Two leading Tier 1 global automotive suppliers, Marelli and Continental, are currently trialing the solution for developing their next-generation automotive technology. The feedback from these companies has been overwhelmingly positive.

Martin Stamm, Technical Lead of the CAEdge framework at Continental, said, “Migrating our core software stack to the QNX cloud has been a game-changer for our virtual software development and validation efforts, significantly boosting the efficiency of our developers and improving overall time-to-market for new features in the vehicle. The environmental parity between the Graviton instances on AWS and the physical vehicle computer allows us to directly deploy the same binaries to the cloud and to the vehicle, marking a very significant first step in our vision toward delivering SDVs that are built, tested and validated virtually in software before being physically created.”

With QNX® Accelerate, BlackBerry QNX is driving the future of embedded systems development by enabling developers to work faster and more efficiently in a cloud environment. This is a big step toward the future of software-defined vehicles (SDVs) and the Internet of Things (IoT).

QNX-Enhanced In-Car Audio Experience in SDVs

Marelli has announced plans to expand its seven-year collaboration with BlackBerry QNX by deploying the new QNX® Acoustics Management Platform (AMP) and QNX® Hypervisor® as part of its enhanced in-car audio experience in software-defined vehicles (SDVs). The deployment will enhance voice command accuracy, and reduce unwanted echo and background noise that can spoil hands-free communications in the car. Additionally, the active sound design module in the QNX AMP will support the creation of individual sound zones, voice recognition across multiple zones within the vehicle, and active noise cancellation for an improved acoustic experience.

Illustration of vehicle acoustics management system capabilities

BlackBerry QNX and TI launch QNX Academy for Functional Safety

The QNX Academy for Functional Safety, a partnership between BlackBerry QNX and Texas Instruments, is a comprehensive online training program for software developers to accelerate the development of safe and secure embedded systems. The program provides developers with access to development tools, evaluation hardware, software, and self-paced training modules to quickly get their safety-critical projects on track. The academy aims to help developers innovate and de-risk the product development process. It is hosted on the TI Developer Zone and includes resources such as the TDA4VM Edge AI starter kit, evaluation licenses of the QNX Hypervisor for Safety and QNX Software Development Platform, and training on topics such as safety culture, fault tree analysis, anomaly detection, and more. The demonstration hardware and software allow developers to “load and learn” and apply their learning with practical exercises, providing a foundational understanding of safety-critical development.

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Written by Shahzoor Ali


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