- Patent Title: Methods and systems for learning user preferences for lane changes
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Application No.: US16554731Application Date: 2019-08-29
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Publication No.: US11454971B2Publication Date: 2022-09-27
- Inventor: Ariel Telpaz , Gila Kamhi , Claudia V. Goldman-Shenhar
- Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
- Applicant Address: US MI Detroit
- Assignee: GM GLOBAL TECHNOLOGY OPERATIONS LLC
- Current Assignee: GM GLOBAL TECHNOLOGY OPERATIONS LLC
- Current Assignee Address: US MI Detroit
- Agency: Lorenz & Kopf LLP
- Main IPC: G05D1/00
- IPC: G05D1/00 ; G06N5/04 ; G06N20/00 ; B60W50/06 ; G05D1/02 ; B60W30/18 ; G06N5/00

Abstract:
Systems and methods are provided for controlling a vehicle. In one embodiment, a method includes: storing, in a data storage device, a decision model, wherein the decision model predicts when to automatically perform a motivational lane change; updating, by a processor, the decision model based on data obtained in response to user input; and automatically requesting, by the processor, a lane change based on the dynamically updated model.
Public/Granted literature
- US20210064033A1 METHODS AND SYSTEMS FOR LEARNING USER PREFERENCES FOR LANE CHANGES Public/Granted day:2021-03-04
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