Lane selection using machine learning
AssigneeGoogle Inc.
InventorsThomas Deselaers, Victor Carbune
Life of this patent
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Abstract
To selecting a lane in a multi-lane road segment for a vehicle travelling on the road segment, a system determines current traffic information for the road segment including a plurality of lanes and applies the current traffic information to a machine learning (ML) model to generate an indication of one of the plurality of lanes in which the vehicle is to travel. Subsequently to the vehicle selecting the indicated lane, the system determines an amount of time the vehicle took to travel a certain distance following the selection, and provides the determined amount of time to the ML model as a feedback signal.
Claims20
A method for selecting a lane in a multi-lane road segment for a vehicle travelling on the road segment, the method comprising:
- determining, by one or more processors, current traffic information for the road segment including a plurality of lanes;
- applying, by the one or more processors, the current traffic information to a machine learning (ML) model to generate an indication of one of the plurality of lanes in which the vehicle is to travel;
- subsequently to the vehicle selecting the indicated lane, determining, by the one or more processors, an amount of time the vehicle took to travel a certain distance following the selection;
- and
- providing, by the one or more processors, the determined amount of time to the ML model as a feedback signal.
A computing system comprising processing hardware and configured to:
- determine current traffic information for the road segment including a plurality of lanes;
- apply the current traffic information to a machine learning (ML) model to generate an indication of one of the plurality of lanes in which the vehicle is to travel;
- subsequently to the vehicle selecting the indicated lane, determining, by the one or more processors, an amount of time the vehicle took to travel a certain distance following the selection;
- and
- provide the determined amount of time to the ML model as a feedback signal.
Dependencies are inferred from the claim text.