US Patent Issued to Zoox on Sept. 2 for "Particulate matter-occluded object probability map for sensor returns" (California Inventors)

ALEXANDRIA, Va., Sept. 3 -- United States Patent no. 12,405,382, issued on Sept. 2, was assigned to Zoox Inc. (Foster City, Calif.).

"Particulate matter-occluded object probability map for sensor returns" was invented by Samantha Marie Ting (Redwood City, Calif.), Venkata Subrahmanyam Chandra Sekhar Chebiyyam (San Francisco) and Shaminda Subasingha (San Ramon, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "A machine-learned (ML) model for determining, using at least depth data (e.g., lidar data, radar data), whether an object exists beyond particulate matter, such as dust, steam, smoke, rain, etc. from a sensor. Determining the likelihood may include determining a probability map that varies, distance...