Lane change maneuver intention detection systems and methods
AssigneeGM Global Technology Operations LLC
InventorsNingsheng Qiao, Stanley J. Modjeski, Dalia I. Karana, Christopher A. Kinser
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Abstract
In various embodiments, methods, systems, and vehicles are provided controlling a vehicle. In an exemplary embodiment, a method includes: monitoring an eye gaze of a driver of the vehicle; monitoring current traffic conditions surrounding the vehicle; predicting an intention of the driver to perform a lane change maneuver based on the eye gaze, a history of the eye gaze of the driver, and the current traffic conditions; and controlling, by the processor, the vehicle based on the predicted intention of the driver to perform a lane change maneuver.
Claims14
A method for controlling a vehicle is provided, the method comprising:
- monitoring an eye gaze of a driver of the vehicle by counting a number of driver eye switches from a first on-road direction to a second side mirror direction and accumulating a time of focus of the eye gaze on a side mirror;
- monitoring current traffic conditions surrounding the vehicle, wherein the current traffic conditions include a vehicle speed of a front, in-path vehicle, a number of lanes, a safety margin of an adjacent lane, a safety corridor defined by upper and lower boundaries and associated with a lane of the vehicle;
- predicting an intention of the driver to perform a lane change maneuver by evaluating each of the number of driver eye switches, the accumulated time of focus, a history of the eye gaze of the driver, and the current traffic conditions;
- and
- controlling, by the processor, the vehicle based on the predicted intention of the driver to perform a lane change maneuver.
A system for controlling a vehicle is provided, the system comprising:
- a driver monitoring system configured to capture driver eye gaze data;
- a perception system configured to capture perception data associated with the environment of the vehicle;
- and
- a processor configured to:
- monitor the driver gaze data to determine an eye gaze of a driver of the vehicle by counting a number of driver eye switches from a first on-road direction to a second side mirror direction and accumulating a time of focus of the eye gaze on a side mirror;
- monitor the perception data to determine current traffic conditions surrounding the vehicle, wherein the current traffic conditions include a vehicle speed of a front, in-path vehicle, a number of lanes, a safety margin of an adjacent lane, a safety corridor defined by upper and lower boundaries and associated with a lane of the vehicle;
- predict an intention of the driver to perform a lane change maneuver by evaluating each of the number of driver eye switches, the accumulated time of focus, a history of the eye gaze, and the current traffic conditions;
- and
- control the vehicle based on the predicted intention of the driver to perform a lane change maneuver.
Dependencies are inferred from the claim text.