| Localization and route setting through real-time 360-degree perception
| Generating data to be fed into autonomous vehicles by mimicking sensors
| Level 2 ADAS enhancements such as AEB, ACC, and LKA are possible.

Velodyne Lidar announced today that it is launching a surround-view lidar solution for the NVIDIA DRIVE autonomous driving platform that collects rich perception data during testing and validation. This solution enables accurate localization and path planning through real-time 360-degree perception.
Velodyne sensors are showcased on NVIDIA DRIVE Constellation, an open, scalable simulation platform that enables high-precision, large-scale in-the-loop hardware experiments. This solution's DRIVE Sim software emulates sensors such as lidar to create a highly reliable virtual world and generate data to be input into autonomous vehicles.

“Velodyne and NVIDIA are at the forefront of the development of high-resolution sensing and high-performance computing for autonomous driving,” said Mike Jellen, President and Chief Commercial Officer, Velodyne Lidar. “Velodyne’s intelligent Lyra sensors will provide the foundation for advanced vehicle autonomy, safety and driver assistance systems from leading global manufacturers.”
Velodyne offers a wide range of lidar products, covering the full spectrum of advanced driver assistance and autonomous driving systems required by automotive OEMs, truck OEMs, delivery manufacturers, and Tier 1 suppliers. Proven through millions of kilometers of driving, Velodyne sensors help autonomous vehicles choose the safest path. Adding Velodyne sensors can enhance Level 2 advanced driver assistance systems (ADAS) such as autonomous emergency braking (AEB), adaptive cruise control (ACC), and lane keeping assist (LKA).

“Velodyne’s lidar sensors detect more objects and provide vehicles with a more detailed view of their surroundings, providing the information they need to make autonomous driving systems and road safety a reality,” said Glen Schuster, director of sensor ecosystem development at NVIDIA.