“Arilou has a decade of experience in researching and developing cyber-security solutions dedicated to the automotive environment. They are experts in embedded, mission-critical cyber security, and are experienced at developing reliable, high-end, defensive cyber security solutions for even the most complicated of systems,” said Cyngn’s CEO Lior Tal. “By partnering with Arilou, Cyngn adds vehicle network level cybersecurity to DriveMod, our modular industrial vehicle autonomous driving software, which is part of the Enterprise Autonomy Suite.”
“We are very excited about being able to offer our insight and expertise to this emerging market,” said Arilou CEO Ziv Levi. “Thanks to Cyngn, autonomous vehicle deployments will become increasingly common across industrial use cases. Through this partnership, Cyngn now sets the highest standard of automotive security for fleets across material handling, logistics, mining, and construction.”
In most cases, Arilou’s cybersecurity solutions will work invisibly, maximizing the uptime of these industrial autonomous vehicle fleets.
ZF coASSISTs with Dongfeng
ZF has launched its next generation mid-range radar to support advanced ADAS safety functions and enhance the available ZF coASSIST semi-automated system on the Dongfeng Aeolus Yixuan MAX in China./
Volvo Invests in Fortellix
Volvo Group Venture Capital AB has announced a new investment in a leading company in the field of measurable safety for driver assistance and autonomous vehicles. Foretellix Ltd was founded in 2018 by a team of verification and validation pioneers whose mission is to make automated driving systems safe and efficient.
One of the main challenges of autonomous systems is deciding when a product is safe enough to commercialize. This is what Foretellix is tackling with its verification platform. It uses intelligent automation and big data analytics tools which coordinate and monitor millions of driving scenarios to ensure that the autonomous vehicle behaves correctly under all possible driving conditions, including edge cases.
In addition to the Volvo Group Venture Capital investment, Volvo Autonomous Solutions formed a closer partnership with Foretellix earlier this year with the aim of jointly creating a coverage-driven verification solution for autonomous driving that operates both on public roads and in restricted areas.
Quantum announces reference architecture for Autonomous Driving Systems and Industrial AI/ML application development
Quantum Corporation announced the release of a new end-to-end reference architecture for Advanced Driver-Assistance Systems (ADAS) and Autonomous Driving (AD) systems. By enhancing the acquisition, movement, storage, and curation of the data necessary to develop autonomous vehicle software, the unique architecture is designed to address the specific needs of every stage of ADAS/AD development. It enables autonomous vehicle developers to unleash the power of their data and spearhead the next era of self-driving innovation.
The vast amount of data generated during autonomous vehicle development illustrates the scale of challenges faced by AV manufacturers. The test vehicles typically capture terabytes of sensor data per hour generated by multiple video cameras, LiDARs, and Radars. ADAS/AD development systems rely on collecting and processing these large amounts of unstructured data to build sophisticated Machine Learning (ML) models and algorithms, requiring intelligent and efficient data management. By utilizing the new end-to-end reference architecture, developers take advantage of Quantum’s complete portfolio of end-to-end data management solutions that deliver the level of performance, capacity and scalability required for ADAS/AD systems.