Invention Grant
- Patent Title: Detecting out-of-model scenarios for an autonomous vehicle
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Application No.: US16672334Application Date: 2019-11-01
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Publication No.: US11577756B2Publication Date: 2023-02-14
- Inventor: John Hayes , Volkmar Uhlig , Akash J. Sagar , Nima Soltani , Feng Tian
- Applicant: GHOST AUTONOMY INC.
- Applicant Address: US CA Mountain View
- Assignee: GHOST AUTONOMY INC.
- Current Assignee: GHOST AUTONOMY INC.
- Current Assignee Address: US CA Mountain View
- Main IPC: B60W60/00
- IPC: B60W60/00 ; B60W50/00 ; G05D1/02 ; B60R11/04 ; G06N20/00 ; G06V20/56

Abstract:
Detecting out-of-model scenarios for an autonomous vehicle including: determining, based on first sensor data from one or more sensors, an environmental state relative to the autonomous vehicle, wherein operational commands for the autonomous vehicle are based on a selected machine learning model, wherein the selected machine learning model comprises a first machine learning model; comparing the environmental state to a predicted environmental state relative to the autonomous vehicle; and determining, based on a differential between the environmental state and the predicted environmental state, whether to select a second machine learning model as the selected machine learning model.
Public/Granted literature
- US20210078611A1 DETECTING OUT-OF-MODEL SCENARIOS FOR AN AUTONOMOUS VEHICLE Public/Granted day:2021-03-18
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