Invention Grant
- Patent Title: Perception error models
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Application No.: US16708019Application Date: 2019-12-09
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Publication No.: US11734473B2Publication Date: 2023-08-22
- Inventor: Sai Anurag Modalavalasa , Gerrit Bagschik , Andrew Scott Crego , Antoine Ghislain Deux , Rodin Lyasoff , James William Vaisey Philbin , Ashutosh Gajanan Rege , Andreas Christian Reschka , Marc Wimmershoff
- 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: G06F30/20
- IPC: G06F30/20 ; G05D1/02 ; G05D1/00 ; G07C5/08 ; G06V20/58 ; G06F18/23 ; G06V20/56

Abstract:
Techniques for determining an error model based on vehicle data and ground truth data are discussed herein. To determine whether a complex system (which may be not capable of being inspected) is able to operate safely, various operating regimes (scenarios) can be identified based on operating data. To provide safe operation of such a system, an error model can be determined that can provide a probability associated with perception data and a vehicle can determine a trajectory based on the probability of an error associated with the perception data.
Public/Granted literature
- US20210096571A1 PERCEPTION ERROR MODELS Public/Granted day:2021-04-01
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