Qualcomm Incorporated

Shantanu Chaisson Sanyal

Sundar Subramanian

Makesh Pravin John Wilson

Volodimir Slobodyanyuk

Amin Ansari

Radhika Dilip Gowaikar

Michael John Hamilton

Ahmed Kamel Sadek

A device for processing image data is disclosed. The device can obtain a radar point cloud and one or more frames of camera data. The device can determine depth estimates of one or more pixels of the one or more frames of camera data. The device can generate a pseudo lidar point cloud using the depth estimates of the one or more pixels of the one or more frames of camera data, wherein the pseudo lidar point cloud comprises a three-dimensional representation of at least one frame of the one or more frames of camera data. The device can determine one or more object bounding boxes based on the radar point cloud and the pseudo lidar point cloud.

Radar and camera data fusion

In some aspects, a system may receive, from a first one-dimensional radar array, first information based at least in part on first reflections associated with an azimuthal plane. The system may further receive, from a second one-dimensional radar array, second information based at least in part on second reflections associated with an elevation plane. Accordingly, the system may detect an object based at least in part on the first information and may determine an elevation associated with the object based at least in part on the second information. Numerous other aspects are described.

Object detection and ranging using one-dimensional radar arrays

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San Diego, CA, United States of America

Shantanu Chaisson Sanyal