Abstract: At least one object is detected, via a sensor, in a direction of movement ahead of a host vehicle. A current sensor range is determined based on the detected at least one object. A maximum sensor range is determined based on the sensor. The current sensor range is compared with the maximum sensor range. Upon determining the current sensor range is less than the maximum sensor range by at least a predetermined threshold, driving parameters of the host vehicle are updated based on the current sensor range.

Abstract: While operating a host vehicle in a first lane on a road, respective first statistical probabilities of a) an average speed of a plurality of vehicles, including the host vehicle, operating in the first lane, b) an average distance between the vehicles operating in the first lane, and c) an average number of braking events performed by the vehicles operating in the first lane are determined based on sensor data. A high traffic density probability for the road is determined based on the first statistical probabilities. A host vehicle assist feature is transitioned between an enabled state and a disabled state based on the high traffic density probability for the road being greater than a threshold probability.

Abstract: A system for detecting a road surface includes a processor programmed to identify, in a vehicle sensor field of view, environment features including a sky, a road surface, a road shoulder, based on map data and data received from the one or more vehicle sensors, upon determining a low confidence in identifying an area of the field of view to be a road surface or sky, to receive a polarimetric image, and to determine, based on the received polarimetric image, whether the identified area is a mirage phenomenon, a wet road surface, or the sky. The low confidence is determined upon determining that a road surface has a vanishing edge, a road lane marker is missing, or an anomalous object is present.

Abstract: A computer includes a processor and a memory storing instructions executable by the processor to receive a series of sample coordinate points of a projected path of travel of a vehicle, generate interpolated coordinate points along the projected path between the sample coordinate points, fit a curve to the sample coordinate points and interpolated coordinate points, and output a curvature of a lane at a reported coordinate point along the projected path based on the curve.

Abstract: A computer includes a processor and a memory storing instructions executable by the processor to receive a series of sample coordinate points of a projected path of travel of a vehicle, generate interpolated coordinate points along the projected path between the sample coordinate points, fit a curve to the sample coordinate points and interpolated coordinate points, and output a curvature of a lane at a reported coordinate point along the projected path based on the curve.

Abstract: While operating a host vehicle in a first lane on a road, respective first statistical probabilities of a) an average speed of a plurality of vehicles, including the host vehicle, operating in the first lane, b) an average distance between the vehicles operating in the first lane, and c) an average number of braking events performed by the vehicles operating in the first lane are determined based on sensor data. A high traffic density probability for the road is determined based on the first statistical probabilities. A host vehicle assist feature is transitioned between an enabled state and a disabled state based on the high traffic density probability for the road being greater than a threshold probability.

Abstract: At least one object is detect, via a sensor, in a direction of movement ahead of a host vehicle. A current sensor range is determined based on the detected at least one object. A maximum sensor range is determined based on the sensor. The current sensor range is compared with the maximum sensor range.

Abstract: A system and method are provided for operating an autonomous or semi-autonomous host vehicle. The method includes receiving data measured from a plurality of sensors, wherein the measured data relates to one or more target vehicles in the host vehicle's field of view, calculating a desired speed command based on a driver-selected set-speed and the measured data, detecting initiation of a host vehicle lane change to a desired adjacent lane, and in response to initiation of the lane change, selecting an acceleration profile based on at least one set of operating conditions, calculating a modified speed command by adjusting the desired speed command according to the selected acceleration profile; and controlling a host vehicle speed based on the modified speed command.

Abstract: The methods and system described herein may be used to assist an automated driving system of a host vehicle. The methods and system may, in an exemplary embodiment, be used to determine whether a host vehicle or a target vehicle is cutting out and, accordingly, control the acceleration and/or other driving features of the host vehicle. Generally, the methods described herein contain the steps of determining that a vehicle is cutting out, determining which vehicle is cutting out, and then controlling the acceleration of the host vehicle based on the previous determinations. The determination of which vehicle is cutting out is made based on readings gathered by the host vehicle from one or more automated driving sensors. By using target vehicle sensor data in conjunction with lane marking sensor data, the host vehicle can determine, not only that a vehicle is cutting out, but which vehicle(s) are cutting out.

Abstract: A system and method are provided for operating an autonomous or semi-autonomous host vehicle. The method includes receiving data measured from a plurality of sensors, wherein the measured data relates to one or more target vehicles in the host vehicle's field of view, calculating a desired speed command based on a driver-selected set-speed and the measured data, detecting initiation of a host vehicle lane change to a desired adjacent lane, and in response to initiation of the lane change, selecting an acceleration profile based on at least one set of operating conditions, calculating a modified speed command by adjusting the desired speed command according to the selected acceleration profile; and controlling a host vehicle speed based on the modified speed command.

Abstract: The methods and system described herein may be used to assist an automated driving system of a host vehicle. The methods and system may, in an exemplary embodiment, be used to determine whether a host vehicle or a target vehicle is cutting out and, accordingly, control the acceleration and/or other driving features of the host vehicle. Generally, the methods described herein contain the steps of determining that a vehicle is cutting out, determining which vehicle is cutting out, and then controlling the acceleration of the host vehicle based on the previous determinations. The determination of which vehicle is cutting out is made based on readings gathered by the host vehicle from one or more automated driving sensors. By using target vehicle sensor data in conjunction with lane marking sensor data, the host vehicle can determine, not only that a vehicle is cutting out, but which vehicle(s) are cutting out.