AEye has announced that Continental’s HRL131 Long Range Lidar, based on AEye’s patented architecture, is now available for testing and development on the NVIDIA DRIVE Sim™ platform. Continental and AEye, will use the NVIDIA DRIVE Sim platform to enable AV and ADAS customers to quickly simulate a fully adaptive lidar system in a variety of autonomous driving edge cases and environments. This saves OEMs time during development and testing, accelerating time-to-market for commercial deployment.
The adaptive nature of Continental’s HRL131 Long Range Lidar is capable of using multiple scan patterns, including different fields of view (FOV), for different driving conditions and use cases. By integrating with NVIDIA DRIVE Sim, developers can simulate different scan patterns in order to specify and optimize each of them, and further refine the performance of the HRL131 to match specific requirements.
This is especially important for high-speed highway driving, where even a small object can make a big impact. NVIDIA DRIVE Sim supports the creation of obstacles in many shapes and sizes, with accurate physical based rendering, in complex highway environments. With a digital twin of the HRL131, and various environments and differing conditions of its usage in NVIDIA DRIVE Sim, OEMs and AV developers can determine which performance modes are more suitable for the application, and solve complex critical use cases. Once identified and tuned, performance modes can be swapped on-the-fly using external cues such as speed, location or vehicle pitch.
With the HRL 131, vehicles can be detected at more than 300 meters, and pedestrians at more than 200 meters. Continental is integrating the long range lidar technology into its full sensor stack solution to create the first full stack automotive-grade system for Level 2+ up to Level 4 automated and autonomous driving applications.
DVN comment
Building partnerships between Lidar suppliers and ECU Chip-sets suppliers might be a new trend since it is not the only case we see. It allows for sure a better management of the huge volume of data coming from machine learning algorithms and multiple point clouds incl. the one of the Lidar.