RoboSense Integrates Smart LiDAR Sensor Systems into NVIDIA’s Omniverse Ecosystem

What’s Happening

RoboSense, the global front-runner in intelligent LiDAR sensor systems, disclosed today that it has now linked its technology with NVIDIA’s Omniverse ecosystem. Using the development platform premised on Universal Scene Description (USD), RoboSense will hasten the evolution, experimentation, and validation of its cutting-edge sensor technology.

Why It Matters

This strategic integration places RoboSense’s second-generation smart solid-state LiDAR model in NVIDIA’s DRIVE Sim, which is built on Omniverse. The coupling allows for a physically grounded, high-definition sensor simulation. This development, in turn, furnishes autonomous vehicle developers with direct access to best-in-class LiDAR for their development and testing endeavors.

Key Points

NVIDIA’s DRIVE Sim serves as a reference application built on the Omniverse, forming the connecting tissue between varying software ecosystems. It amalgamates NVIDIA’s core technologies to proffer digital twin environments for developing and testing autonomous driving systems. This facilitates large-scale diverse and repeatable testing scenarios, which accelerates development while reducing costs.

As a member of the Omniverse ecosystem, RoboSense will utilize this simulation platform to test and validate its new LiDAR systems. Furthermore, it will also offer ADAS developers access to highly precise simulation models.

RoboSense’s M-Series LiDAR, the world’s pioneer in second-generation smart solid-state LiDAR for automotive applications, leads with the most global partnerships and is implemented in an array of vehicle models. The M-Series LiDAR boasts a revolutionary two-dimensional MEMS scanning architecture, combined with a dynamic scanning mode switch capability, the “GAZE” function, enhancing vehicle perception in complex environments.

Bottom Line

The integration with the NVIDIA Omniverse ecosystem allows RoboSense to present developers with the means to construct intricate road environments with high physical accuracy. Their M-series LiDAR model offers the flexibility to simulate its performance in beam control, custom scan patterns, and resolutions. This can then be employed to generate synthetic datasets for training and validating autonomous driving solutions.

Mark Qiu, RoboSense’s co-founder and executive president, expressed that this collaborative effort with NVIDIA will leverage LiDAR technology’s strengths and continue to improve the perception capabilities of autonomous vehicles. They are dedicated to advancing the development of the global automotive and autonomous driving industries.

Echoing this sentiment, Zvi Greenstein, a general manager at NVIDIA, emphasized that RoboSense’s exceptional technical strength and customer base would bolster their ecosystem and expedite the development and validation of autonomous vehicles, providing more flexibility for developers.


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