Lane selection using machine learning
AssigneeGoogle Inc.
InventorsThomas Deselaers, Victor Carbune
Life of this patent
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Abstract
To select a lane in a multi-lane road segment for a vehicle travelling on the road segment, a system identifies, in multiple lanes and in a region ahead of the vehicle, another vehicle defining a target; the system applies an optical flow technique to track the target during a period of time, to generate an estimate of how fast traffic moves; and the system applies the estimate to machine learning (ML) model to generate a recommendation which one of the plurality of lanes the vehicle is to choose.
Claims20
A method for selecting a lane in a multi-lane road segment for a vehicle travelling on the road segment, the method comprising:
- identifying, in a plurality of lanes and in a region ahead of the vehicle, another vehicle defining a target;
- applying an optical flow technique to track the target during a period of time, to generate an estimate of how fast traffic moves;
- and
- applying the estimate to machine learning (ML) model to generate a recommendation which one of the plurality of lanes the vehicle is to choose.
A computing system configured to select a lane in a multi-lane road segment for a vehicle travelling on the road segment, the system comprising processing hardware and configured to:
- identify, in a plurality of lanes and in a region ahead of the vehicle, another vehicle defining a target;
- apply an optical flow technique to track the target during a period of time, to generate an estimate of how fast traffic moves;
- and
- apply the estimate to machine learning (ML) model to generate a recommendation which one of the plurality of lanes the vehicle is to choose.
Dependencies are inferred from the claim text.