Invention Publication
- Patent Title: RADAR DATA ANALYSIS AND CONCEALED OBJECT DETECTION
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Application No.: US17384430Application Date: 2021-07-23
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Publication No.: US20230142674A1Publication Date: 2023-05-11
- Inventor: Venkata Subrahmanyam Chandra Sekhar Chebiyyam , Subasingha Shaminda Subasingha , Joshua Kriser Cohen , Chuang Wang , Samantha Marie Ting , Badeea Ferdaous Alferdaous Alazem
- Applicant: Zoox, Inc.
- Applicant Address: US CA Foster City
- Assignee: Zoox, Inc.
- Current Assignee: Zoox, Inc.
- Current Assignee Address: US CA Foster City
- Main IPC: G01S7/41
- IPC: G01S7/41 ; G01S13/931

Abstract:
Techniques are discussed herein for analyzing radar data to determine that radar noise from one or more target detections potentially conceals additional objects near the target detection. Determining whether an object may be concealed can be based at least in part on a radar noise level based on a target detection, as well as distributions of radar cross sections and/or doppler data associated with particular object types. For a location near a target detection, a radar system may determine estimated noise levels, and compare the estimated noise levels to radar cross section probabilities associated with object types to determine the likelihood that an object of the object type could be concealed at the location. Based on the analysis, the system may determine a vehicle trajectory or otherwise may control a vehicle based on the likelihood that an object may be concealed at the location.
Public/Granted literature
- US12164058B2 Radar data analysis and concealed object detection Public/Granted day:2024-12-10
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