- 专利标题: Data driven resolution function derivation
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申请号: US17245929申请日: 2021-04-30
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公开(公告)号: US11709260B2公开(公告)日: 2023-07-25
- 发明人: Badeea Ferdaous Alferdaous Alazem , Venkata Subrahmanyam Chandra Sekhar Chebiyyam , Joshua Kriser Cohen , Subasingha Shaminda Subasingha , Samantha Marie Ting , Chuang Wang
- 申请人: Zoox, Inc.
- 申请人地址: US CA Foster City
- 专利权人: Zoox, Inc.
- 当前专利权人: Zoox, Inc.
- 当前专利权人地址: US CA Foster City
- 代理机构: Lee & Hayes, P.C.
- 主分类号: G01S13/931
- IPC分类号: G01S13/931 ; G01S13/89 ; G01S17/95 ; G01S13/86
摘要:
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.
公开/授权文献
- US20220350018A1 DATA DRIVEN RESOLUTION FUNCTION DERIVATION 公开/授权日:2022-11-03
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