NVIDIA has taken a step in the development of autonomous technologies by announcing the launch of NVIDIA Omniverse Cloud Sensor RTX, a set of cloud-based microservices that enables sensor simulation with a new focus on physical accuracy.
The multi-billion dollar sensor industry It is essential for the operation of autonomous vehicles, humanoids, industrial manipulators, mobile robots and smart spaces. Sensors provide the data necessary for these machines to understand the physical world and make informed decisions.
With the introduction of NVIDIA Omniverse Cloud Sensor RTX, developers can now test sensor perception and the associated artificial intelligence software into realistic and physically accurate virtual environments before implementation in the real world.
An advance that could significantly improve security while reducing the time and costs associated with the development of these technologies.
“NVIDIA Omniverse Cloud Sensor RTX will allow developers to easily build large-scale digital twins of factories, cities and even Earth, helping to accelerate the next wave of AI,” said Rev Lebaredian, vice president of Omniverse and simulation technology at NVIDIA. .
NVIDIA Omniverse Cloud Sensor RTX is built on the OpenUSD framework and powered by NVIDIA RTX ray tracing and neural rendering technologies. This combination enables the creation of simulated environments by combining real-world data from videos, cameras, radar, and lidar with synthetic data.
Even in scenarios where real-world data is limited, microservices can be used to simulate a wide range of activities, such as checking if a robotic arm is operating correctly, if an airport baggage carousel is working, if a branch whether a tree is blocking a road or if a person is nearby.
The physical accuracy of these simulations is crucial to ensuring that tests performed in these virtual environments represent real-world conditions. This not only improves the safety of autonomous technologies, but also accelerates their development by reducing the need for costly and labor-intensive physical prototypes.
Autonomous vehicles rely heavily on the accuracy and reliability of their sensors to navigate and make decisions in real time. The ability to test these sensors in virtual environments that closely replicate the real world allows developers to identify and fix problems before vehicles hit the streets. This improves security and reduces development time and cost by minimizing the need for more expensive and complex real-world testing.
Additionally, sensor manufacturers will also be able to leverage Omniverse Cloud Sensor RTX to validate and integrate digital twins of their sensors in virtual environments. This will significantly reduce the time needed to create physical prototypes.allowing companies to develop and improve their products more quickly and efficiently.
In the Kantar BrandZ 2024 Report, on today’s most valuable companies, NVIDIA was one of the most prominent and fastest growing. Known for its innovations in the field of artificial intelligence chips, the company has seen radical growth in its brand value.
In the last year, the company’s value almost tripled, reaching more than $200 billion and increasing its value by 178%. This explosion in its brand value has catapulted it for the first time into the top 10 of the most valuable brands in the world, occupying sixth place, according to Kantar.
NVIDIA has become a fundamental pillar in the AI revolution, with its GPUs (Graphic Processing Units) being compared to “gold and oil” in the technological world. The company, led by Jensen Huang, has been praised for its ability to lead disruptive narratives in technology and for maintaining a central position in the growth of the chip market.
