#Drive mapping driver#

The lidar voxel layer provides the most precise and reliable representation of the environment.

#Drive mapping driver#

Radar localization is also useful in suburban areas where typical map attributes aren’t available, enabling the AI driver to localize based on surrounding objects that generate a radar return. It’s particularly useful in poor lighting conditions, which are challenging for cameras, and in poor weather conditions, which are challenging for cameras and lidars. The radar localization layer is an aggregate point cloud of radar returns. The camera localization layer consists of map attributes such as lane dividers, road markings, road boundaries, traffic lights, signs and poles. The AI driver can localize to each layer of the map independently, providing the diversity and redundancy required for the highest levels of autonomy. Multi-LayeredĭRIVE Map contains multiple localization layers of data for use with camera, radar, lidar and GNSS modalities. NVIDIA DRIVE Map is available to the entire autonomous vehicle industry. This map will be continuously updated and expanded with millions of passenger vehicles. With four localization layers - camera, lidar, radar and GNSS - DRIVE Map provides the redundancy and versatility required by the most advanced AI drivers.ĭRIVE Map will provide survey-level ground truth mapping coverage to 500,000 kilometers of roadway in North America, Europe and Asia by 2024.

It combines the accuracy of DeepMap survey mapping with the freshness and scale of AI-based crowdsourced mapping.

With a detailed knowledge of the world and everything in it, maps provide the foresight AI uses to make advanced and safe driving decisions.Īt his GTC keynote, NVIDIA founder and CEO Jensen Huang introduced NVIDIA DRIVE Map, a multimodal mapping platform designed to enable the highest levels of autonomy while improving safety.