Invention Grant
- Patent Title: Data driven resolution function derivation
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Application No.: US17245929Application Date: 2021-04-30
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Publication No.: US11709260B2Publication Date: 2023-07-25
- Inventor: Badeea Ferdaous Alferdaous Alazem , Venkata Subrahmanyam Chandra Sekhar Chebiyyam , Joshua Kriser Cohen , Subasingha Shaminda Subasingha , Samantha Marie Ting , Chuang Wang
- Applicant: Zoox, Inc.
- Applicant Address: US CA Foster City
- Assignee: Zoox, Inc.
- Current Assignee: Zoox, Inc.
- Current Assignee Address: US CA Foster City
- Agency: Lee & Hayes, P.C.
- Main IPC: G01S13/931
- IPC: G01S13/931 ; G01S13/89 ; G01S17/95 ; G01S13/86

Abstract:
Techniques for determining a probability of a false negative associated with a location of an environment are discussed herein. Data from a sensor, such as a radar sensor, can be received that includes point cloud data, which includes first and second data points. The first data point has a first attribute and the second data point has a second attribute. A difference between the first and second attributes is determined such that a frequency distribution may be determined. The frequency distribution may then be used to determine a distribution function, which allows for the determination of a resolution function that is associated with the sensor. The resolution function may then be used to determine a probability of a false negative at a location in an environment. The probability can be used to control a vehicle in a safe and reliable manner.
Public/Granted literature
- US20220350018A1 DATA DRIVEN RESOLUTION FUNCTION DERIVATION Public/Granted day:2022-11-03
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