Back to results
US 11,454,971 B2Granted
Methods and systems for learning user preferences for lane changes
AssigneeGM Global Technology Operations LLC
InventorsAriel Telpaz, Gila Kamhi, Claudia V. Goldman-Shenhar
Life of this patent
Estimating the term…
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.
Claims16
A method for controlling a vehicle, comprising:
- storing, in a data storage device, a decision model, wherein the decision model predicts when to automatically perform a motivational lane change and provides control parameters for controlling the vehicle to perform the motivational lane change, wherein the motivational lane change is a lane change that is based on a user's preference to pass another vehicle or object;
- updating, by a processor, the decision model based on data obtained in response to user input indicating user preferences associated with lane changes;
- and
- automatically requesting, by the processor, a lane change based on the updated model.
1 more element
A system for controlling a vehicle, comprising:
- a first data storage device that stores data defining a decision model, wherein the decision model predicts when to automatically perform a motivational lane change, wherein the decision model provides control parameters for controlling the vehicle to perform the lane change, wherein the motivational lane change is a lane change that is based on a user's preference to pass another vehicle or object;
- and
- a processor configured to:
- update the decision model based on data obtained in response to user input indicating user preferences associated with lane changes;
- and
- automatically request a lane change based on the updated model.
3 more elements
Dependencies are inferred from the claim text.