Nvidia Corporation

Si Lu

David Nister

Michael Kroepfl

Amir Akbarzadeh

Birgit Henke

Yu Sheng

Ivana Stojanovic

Enliang Zheng

Andrew Carley

Jugnu Agrawal

Niharika Arora

Embodiments of the present disclosure relate to generating RADAR (RAdio Detection And Ranging) point clouds based on RADAR data obtained from one or more RADAR sensors disposed on one or more ego-machines. In these or other embodiments, the RADAR point clouds may be used to generate map data. Additionally or alternatively, the RADAR point clouds may be used for performing localization.

Sensor data point cloud generation for map creation and localization for autonomous systems and applications

One or more embodiments of the present disclosure relate to generation of map data. In these or other embodiments, the generation of the map data may include determining whether objects indicated by the sensor data are static objects or dynamic objects. Additionally or alternatively, sensor data may be removed or included in the map data based on determinations as to whether it corresponds to static objects or dynamic objects.

Sensor data based map creation for autonomous systems and applications

One or more embodiments of the present disclosure relate to generating RADAR (RAdio Detection And Ranging) point clouds based on RADAR data obtained from one or more RADAR sensors disposed on one or more ego-machines. In these or other embodiments, the RADAR point clouds may be communicated to a distributed map system that is configured to generate map data based on the RADAR point clouds. In some embodiments of the present disclosure, certain compression operations may be performed on the RADAR point clouds to reduce the amount of data that is communicated from the ego-machines to the map system.

Sensor data based map creation and localization for autonomous systems and applications

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San Jose, CA, United States of America

Si Lu