Quantum Corporation has announced its role in accelerating all-terrain autonomous vehicle research at the Centre for Advanced Vehicular Systems (CAVS) at Mississippi State University (MSU), one of the premier university automotive research centres in the world. CAVS collects vast amounts of unstructured data using Quantum R-Series Edge Storage, a high-performance, ruggedised solution purpose-built for capturing massive data volumes in Edge environments. The data is generated by vehicles and used for further analysis and Machine Learning (ML) model development in the CAVS data centre.
Data storage and processing needs for autonomous vehicle (AVs) development are growing. Mobility Foresights research estimates that 20% of new cars sold globally will have at least Level 3 autonomous driving capability by 2030. An estimated 90 million connected and autonomous vehicles will each generate up to 10 Terabytes (TB) of data per day or one Zettabyte (ZB) per day across the industry. The automotive industry increasingly requires storage solutions that are flexible, scalable, easy to manage and highly reliable to address the big data challenge.
At the CAVS facility, featuring a 55-acre off-road proving ground, test vehicles equipped with a variety of sensors collect a wide array of data about the outdoor terrain. This data is then used to create a digital twin of the environment for running driving simulations. These simulations are leveraged to create navigation software that guides AVs through the outdoor terrain.
