Invention Grant
- Patent Title: Physical model and machine learning combined method to simulate autonomous vehicle movement
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Application No.: US15278719Application Date: 2016-09-28
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Publication No.: US10343685B2Publication Date: 2019-07-09
- Inventor: Fan Zhu , Qi Kong , Guang Yang , Jingao Wang
- Applicant: Baidu USA LLC
- Applicant Address: US CA Sunnyvale
- Assignee: BAIDU USA LLC
- Current Assignee: BAIDU USA LLC
- Current Assignee Address: US CA Sunnyvale
- Agency: Womble Bond Dickinson (US) LLP
- Main IPC: B60W30/18
- IPC: B60W30/18 ; G05D1/02 ; B60W50/00 ; B60W30/045

Abstract:
In one embodiment, a driving scenario is identified for a next movement for an autonomous vehicle, where the driving scenario is represented by a set of one or more predetermined parameters. A first next movement is calculated for the autonomous vehicle using a physical model corresponding to the driving scenario. A sideslip predictive model is applied to the set of predetermined parameters to predict a sideslip of the autonomous vehicle under the driving scenario. A second next movement of the autonomous vehicle is determined based on the first next movement and the predicted sideslip of the autonomous vehicle. The predicted sideslip is utilized to modify the first next movement to compensate the sideslip. Planning and control data is generated for the second next movement and the autonomous vehicle is controlled and driven based on the planning and control data.
Public/Granted literature
- US20180086344A1 PHYSICAL MODEL AND MACHINE LEARNING COMBINED METHOD TO SIMULATE AUTONOMOUS VEHICLE MOVEMENT Public/Granted day:2018-03-29
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