AI Meets Driving: Intelligent Connected Vehicles Driven by Multimodal Data

Sandisk recently published an article discussing how flash memory storage has become a core technology for smart connected vehicles. With advancements in artificial intelligence, the amount of multimodal data generated by modern vehicles has increased dramatically, making the demand for in-vehicle computing increasingly urgent.

The Data Revolution in Smart Connected Vehicles

Today's cars are no longer just modes of transportation; they are "wheel-based supercomputers" integrated with various high-tech devices. These vehicles are equipped with sensors such as high-definition cameras, LiDAR, radar, sonar, and GPS, capable of collecting vast amounts of data every second. Conventional autonomous driving systems can generate hundreds of MB to several GB of raw data per second. According to Sandisk's report, a single vehicle can produce up to 2TB of data in a single day.

The Key Role of Flash Memory

To ensure the safe operation of vehicles, this data must be retrievable and processable in an instant. Relying on cloud solutions is not practical, as it leads to delays and uncertainties. Therefore, automotive-grade flash memory has emerged as the cornerstone of in-vehicle computing. This type of flash memory is designed specifically for vehicle environments, capable of stable operation under extreme conditions while providing the necessary high read and write speeds.

As L2+ and higher-level models become mainstream in the market, the demand for high-performance in-vehicle storage will significantly increase. Sandisk's iNAND AT EU752 UFS 4.1 embedded flash memory drive exemplifies this trend, enhancing performance, capacity, and durability.

In the future, as autonomous driving technology continues to develop, flash memory will play an increasingly important role in smart connected vehicles, driving the entire automotive industry forward.