Abstract: Systems and methods for lane change prediction, detection, and/or confirmation. In some embodiments, a vehicle yaw rate associated with a vehicle may be detected and a set of vehicle yaw rate data may be generated. A steering angle associated with the vehicle may also be detected and a set of vehicle steering angle data generated. A first filter model may be used to process the vehicle yaw rate data. The vehicle steering angle data may be used to confirm a suspected lane change. A parameter threshold may be applied to the processed vehicle yaw rate data and, upon exceeding the parameter threshold and upon confirmation of the suspected lane change from the vehicle steering angle date, a parameter of a lane change assist system of the vehicle may be adjusted.

Abstract: Methods and systems for detecting lane changes using vehicle path data. In some implementations, one or more environmental sensors, such as RADAR modules, may be used to generate a first data set associated with a trajectory of a host vehicle. The first data set may be representative of a curve on a graph. Points of inflection may be sought in the curve. An identification of a point of inflection in the curve may then be used to confirm a lane change of the host vehicle.

Abstract: Systems and methods for lane change prediction, detection, and/or confirmation. In some embodiments, a vehicle yaw rate associated with a vehicle may be detected and a set of vehicle yaw rate data may be generated. A steering angle associated with the vehicle may also be detected and a set of vehicle steering angle data generated. A first filter model may be used to process the vehicle yaw rate data. The vehicle steering angle data may be used to confirm a suspected lane change. A parameter threshold may be applied to the processed vehicle yaw rate data and, upon exceeding the parameter threshold and upon confirmation of the suspected lane change from the vehicle steering angle date, a parameter of a lane change assist system of the vehicle may be adjusted.

Abstract: Methods and systems for detecting lane changes using vehicle path data. In some implementations, one or more environmental sensors, such as RADAR modules, may be used to generate a first data set associated with a trajectory of a host vehicle. The first data set may be representative of a curve on a graph. Points of inflection may be sought in the curve. An identification of a point of inflection in the curve may then be used to confirm a lane change of the host vehicle.