NVIDIA unveiled its latest advancements in autonomous driving at CES 2018. Danny Shapiro, senior director of the automotive division, emphasized that the company's immediate goal is to provide the necessary computing power and sensor support for Level 4 or higher autonomous vehicles. He predicted that within the next 2–3 years, self-driving technology will become the norm in most driving scenarios. However, integrating all complex computing tasks required for self-driving into a single platform remains a challenge, as future applications are expected to grow increasingly complex.
It is unlikely that self-driving systems will rely on a single computing platform. According to Shapiro, history shows that as applications evolve, they tend to become more complex, which also applies to the automotive industry. Even as chip platforms incorporate more built-in functions, there will still be a need for multiple platform solutions.
NVIDIA currently develops proprietary computing platforms for both self-driving technology and Drive IX. Notably, Shapiro clarified that the NVIDIA Drive AR platform is not solely designed for fully autonomous vehicles, just like Drive IX. The company maintains partnerships with several automakers, and while it uses data from these partners to enhance its broader industry solutions, strict confidentiality agreements ensure that no information is shared between different manufacturers.
Shapiro also pointed out that if one automaker relies on LiDAR, radar, and cameras for data collection, another might use a different sensor configuration. This diversity can lead to limited interoperability between different systems.
He believes that Level 4 autonomous vehicles will likely operate on closed roads, airports, amusement parks, or specific test areas in the next 2–3 years.
Software-defined vehicles play a crucial role in advancing autonomous technology. Tesla, for example, stated that its second-generation Autopilot system—launched in late 2016 and powered by NVIDIA technology—is capable of supporting full autonomy once software capabilities are mature. Shapiro believes that software-defined cars can continuously acquire new applications and updates, allowing even vehicles purchased without full autonomy to gain more self-driving features through regular updates.
This approach mirrors the collaboration between game developers and hardware providers. NVIDIA does not create video games but provides tools, databases, and environments for developers to build their applications. Similarly, in the automotive industry, NVIDIA supplies OEMs with software stacks, development environments, and simulators, while the car manufacturers decide how to integrate these solutions.
Additionally, NVIDIA collaborates with third-party map service providers such as HERE, TomTom, and Baidu, aiming to enhance their services using its AI capabilities. Since mapping is highly localized and labor-intensive, automation through AI can significantly improve efficiency in data centers.
Unlike companies such as Waymo and Mobileye, NVIDIA does not develop its own map service. Instead, it supports other companies in building maps using its hardware, software, and deep learning optimization technologies, including server GPUs.
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