RoboSense integrates LiDAR portfolio with NVIDIA DRIVE to accelerate autonomous driving adoption

Shanghai (Gasgoo)- On September 11 at IAA MOBILITY 2025 in Munich, RoboSense announced that its mass-producible high-performance automotive-grade digital LiDAR models—EM4, EMX, and E1—will be integrated into the NVIDIA DRIVE AGX platform.

RoboSense, as part of the NVIDIA DRIVE ecosystem, said its high-line digital LiDAR delivers high-definition 3D perception data, enabling automakers to accelerate development, testing, and deployment of advanced driver-assistance and autonomous driving systems.

RoboSense CEO Qiu Chunchao said the automotive industry is undergoing a profound transformation with the rise of autonomous driving. He noted that the partnership with NVIDIA will help accelerate breakthroughs in the sector, with RoboSense's production-ready LiDAR solutions offering new options for mainstream and next-generation autonomous systems worldwide. The integration, he added, is expected to drive significant upgrades in self-driving technology and speed up the commercialization of Robotaxis and intelligent vehicles, paving the way for safer and smarter mobility.

As the auto industry evolves, autonomous driving is moving beyond Level 2 driver assistance toward more advanced Level 3 and Level 4 capabilities. This shift places higher demands not only on the performance and reliability of sensors but also on the processing power of in-vehicle AI platforms. The deep integration of the two has become a defining trend in building more capable self-driving systems.

RoboSense currently offers the industry's only mass-produced >500-line digital primary LiDAR, the EM4, and the only mass-produced solid-state blind-spot LiDAR, the E1. These products have already demonstrated strong momentum in both smart vehicle and Robotaxi applications. The EM4, equipped with SPAD-SoC and VCSEL chips, has entered mass production and stands out for its unmatched performance. For Robotaxis, the EM4 paired with the E1 provides dual perception capabilities—long-range precision detection combined with near-field blind-spot elimination—making it a preferred configuration among leading players.

The NVIDIA DRIVE AGX platform is designed to efficiently process data from multiple sensor types—including LiDAR, cameras, and radar—using advanced AI algorithms for robust perception and real-time decision-making. This helps developers streamline prototyping, simulation, and validation, enabling faster integration of autonomous driving functions while allowing performance to scale flexibly with demand.

RoboSense's digital LiDAR is already being adopted as a core sensing component by automakers to improve environmental perception. Depending on specific requirements, manufacturers are integrating the EM4 alone or the EM4+E1 combination into their next-generation ADAS and autonomous vehicle programs. Several new models have already come to market equipped with RoboSense's 520-line LiDAR, including the Zeekr 9X and the latest IM LS6, highlighting the company's growing footprint in commercialized smart driving solutions.