Recently, Ouster CEO Angus Pacala gave a presentation at the yearly held NVIDIA GTC Conference. He spoke about how OS sensors can accelerate the development process of autonomous vehicles - and the development of the NVIDIA drive system respectively. Additionally, he highlighted the integration of lidar sensors into NVIDIA platforms in general.
"The Ouster OS2 is a solid solution that will augment [NVIDIA’s] long-range perception offerings thanks to its resolution and reliability." - Gary Hicok, SVP of Automotive Hardware & Systems at NVIDIA
In fact, "Plus" is an autonomous truck company that already presents a working use case for Ouster lidar sensors coupled with the AI algorithms of NVIDIA drive GPUs. Even Amazon is relying on PlusDrive trucks in the US.
Next to the DRIVE system, there are two other major systems that are compatible with lidar - namely Isaac and Metropolis. Isaac is an SKD that aims to simplify the integration of lidar into ROS-based applications. For instance, Serve Robotics is demonstrating the convenience of the system, translating the first commercial Level 4 autonomous sidewalk delivery vehicle into reality.
Metropolis, on the other hand, is an application framework, specifically targeting smart cities. Due to the early detection and identification of road users and vehicles, pedestrian safety should be significantly improved. At the same time, privacy is crucial and in this aspect, lidar sensors provide a significant advantage in comparison to traditional cameras.
Although there have already been a variety of use-cases identified, countless opportunities are still to be discovered and Ouster and NVIDIA lead an innovative way into the future.
To learn more, follow the official Ouster blog, the "Plus" website, and feel free to replay the NVIDIA GTC Conference:
