AI and Its Effects on Autonomous Vehicle Storage
The volume and velocity of data on our roadways globally have never been higher, and the ability to leverage and transform this massive amount of data into real-time intelligence and value is critical.
This form of machine learning (ML) is actually a subset of AI and was developed through science, so when applied to machines or devices, it will think and act almost like humans do. In AI, machines or devices execute tasks that humans consider smart. In ML, machines or devices are given data that they learn from and, through deep learning (DL) practices, enable many of the AI activities. Deep learning helps to break down tasks into manageable chunks and mimics the activities so the system can learn on its own. The more it learns, the more data it generates, and the more storage capacity that is required.
Data Center Connections
Vehicle safety is one of the most important contributions that AI is making to connected cars. Through vehicle-to-vehicle technology driven by wireless connectivity, connected cars will have the ability to communicate with one another by informing other vehicles around them of what they are doing. For example, if a driver fails to slow down while approaching a red light, the connected car could alert cross traffic to avoid an accident. Additionally, connected cars will have the ability to interact with roadway infrastructures, such as traffic lights and signs, through vehicle-to-infrastructure technology. A simple example is a traffic light telling a connected car it is about to turn red so the car will know to slow down.
To address the need for higher performance, higher capacity, lower latency, and better reliability and endurance, many automobile makers are turning to flash-based storage for storing the operating system and advanced software applications, for collecting and analyzing drive data recordings, for buffering cloud communications (also for bandwidth optimization), and for storing local copies of infotainment data.
Now proven in the rigorous automotive environment, flash storage supports the high-capacity requirements of autonomous cars, and is available in highly compact packages that are smaller than a U.S. penny. In AI-enabled and autonomous vehicles in which the complexity of systems increase, yet the real estate is limited and every inch of the car counts, the flash-based storage form factors fit into small systems and consume minimal physical space within the vehicles themselves.
Local, on-board vehicle storage that supports connected cars and autonomous driving must be able to withstand harsh environments and perform reliably in the vehicle for long lifecycles. Given the varied environments in which automobiles operate (hot and cold extremes, wet and dry conditions, smooth and bumpy surfaces, shock and vibration challenges), local in-vehicle storage will soon have quality and reliability requirements that far exceed the storage requirements in smartphones or other mobile devices, and may soon approach the requirements found in mission-critical enterprise storage.
Martin Booth is the director of automotive solutions marketing at Western Digital Corp.
ASK THE EXPERTS
Simply enter a question for our experts.
Sign up for the RFID Journal Newsletter
We will never sell or share your information
|RFID Journal LIVE!||RFID in Health Care||LIVE! LatAm||LIVE! Brasil||LIVE! Europe||RFID Connect||Virtual Events||RFID Journal Awards||Webinars||Presentations|