NVIDIA unveiled its latest advancements in autonomous driving at CES 2018, with Danny Shapiro, Senior Director of the Automotive Division, emphasizing that the company aims to deliver the computing power and sensor support needed for Level 4 or higher self-driving systems in the near future. He predicted that within the next 2-3 years, autonomous technology will replace human driving in most scenarios. However, integrating all the complex tasks of self-driving into a single platform remains challenging, as future applications are expected to grow increasingly complex.
There is little likelihood that self-driving will rely on a single computing platform. According to The Street, Shapiro noted that throughout the history of computing, applications have only become more intricate, and this trend holds true in the automotive industry. Even as chip platforms evolve with more built-in functions, there will still be a strong demand for multiple chip 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 autonomous vehicles, just as Drive IX is not exclusively for infotainment systems.
Given NVIDIA’s partnerships with various automakers, the use of data from car manufacturers to enhance other industry solutions has drawn attention. Shapiro emphasized that NVIDIA maintains strict confidentiality agreements. While building its own software stack, neural networks, and tools, the company does not allow sharing of data between different partner manufacturers.
Shapiro also pointed out that if one automaker uses LiDAR, radar, and cameras for data collection, another may use a different sensor configuration. This could lead to compatibility issues, making it difficult for their data to communicate effectively.
He believes that Level 4 autonomy is likely to first appear on closed roads, airports, amusement parks, or towns with controlled test environments within 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—could eventually support full autonomy once software capabilities catch up. Shapiro agrees that software-defined cars can gain new apps and updates, allowing owners to access more advanced driving features through regular software upgrades.
He compared NVIDIA's collaboration with automakers to how game developers work with platform providers. NVIDIA doesn't create games itself but provides all the tools, databases, and environments so developers can build their applications on top of them.
Similarly, in the automotive sector, NVIDIA offers OEMs software stacks, developer tools, and simulators. However, it's up to the automaker to decide which vehicle models and specifications will integrate NVIDIA’s solutions. The same applies to user experience customization.
NVIDIA is working with third-party map providers like HERE, TomTom, and Baidu, aiming to enhance their services using NVIDIA’s AI capabilities. Since mapping is highly localized and labor-intensive, automation through AI can help process more data in the data center, increasing efficiency.
Unlike companies such as Waymo and Mobileye, NVIDIA does not develop its own mapping service. Instead, it focuses on helping other companies leverage its solutions for map development, including in-car hardware, software, and deep learning optimization, along with server GPUs.
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