Abstract: A vehicle computer includes a memory and a processor programmed to execute instructions stored in the memory. The instructions include determining a first lane center, autonomously operating a host vehicle relative to the first lane center, detecting a change in the first lane center to a second lane center, selecting a filter, and applying the filter while transitioning autonomous operation of the host vehicle from the first lane center to the second lane center.

Abstract: Method and apparatus are disclosed for monitoring and adjustment of gaps between vehicles. An example vehicle includes a rear sensing device and a controller. The controller is to determine a target lead gap for following a lead vehicle during adaptive cruise control and measure, via the rear sensing device, a trailing distance to a trailing vehicle. The controller also is to determine a target trailing gap for the trailing vehicle. The example vehicle also includes a cruise control unit to increase, responsive to the trailing distance being less than the target trailing gap, the target lead gap based on the trailing distance.

Abstract: A lane curvature, a vehicle position offset relative to a lane center line, and a vehicle heading are determined based on image data received from a vehicle camera sensor. An adjusted lane curvature and an adjusted vehicle heading are computed based on a vehicle speed, a vehicle yaw rate and the position offset.

Abstract: A computing system can determine a probability of precipitation based on Bayesian inference conditioned on probabilities associated with vehicle wiper status, vehicle jerk, vehicle sway, and vehicle lateral offset. The computing system can disable a vehicle lane assist system based on the probability of precipitation and operate a vehicle with the disabled vehicle lane assist system.

Abstract: A computing system can determine a probability of precipitation based on Bayesian inference conditioned on probabilities associated with vehicle wiper status, vehicle jerk, vehicle sway, and vehicle lateral offset. The computing system can disable a vehicle lane assist system based on the probability of precipitation and operate a vehicle with the disabled vehicle lane assist system.

Abstract: Methods and systems are disclosed for vehicle cruise control smoothness adaptation. An example vehicle includes a GPS receiver for receiving expected road incline data, a camera for determining a half lane width position, and a radar for determining two respective leading vehicle angles of arrival. The vehicle also includes a processor for determining an actual road incline by filtering the expected road incline, half lane width position, and leading vehicle angles of arrival. And the processor is further for modifying a cruise control system based on the actual road incline.

Abstract: A vehicle computer includes a memory and a processor programmed to execute instructions stored in the memory. The instructions include determining a first lane center, autonomously operating a host vehicle relative to the first lane center, detecting a change in the first lane center to a second lane center, selecting a filter, and applying the filter while transitioning autonomous operation of the host vehicle from the first lane center to the second lane center.

Abstract: Method and apparatus are disclosed for monitoring and adjustment of gaps between vehicles. An example vehicle includes a rear sensing device and a controller. The controller is to determine a target lead gap for following a lead vehicle during adaptive cruise control and measure, via the rear sensing device, a trailing distance to a trailing vehicle. The controller also is to determine a target trailing gap for the trailing vehicle. The example vehicle also includes a cruise control unit to increase, responsive to the trailing distance being less than the target trailing gap, the target lead gap based on the trailing distance.

Abstract: A system, comprising a processor and a memory, the memory including instructions to be executed by the processor to pilot a vehicle based on determining first and second lane markers, where lane markers are mathematical descriptions of roadway lane markers applied to a roadway to mark traffic lanes, determine a missing first or second lane marker, and pilot the vehicle for a determined period of time based on a remaining first or second lane marker.

Abstract: Methods and systems are disclosed for vehicle cruise control smoothness adaptation. An example vehicle includes a GPS receiver for receiving expected road incline data, a camera for determining a half lane width position, and a radar for determining two respective leading vehicle angles of arrival. The vehicle also includes a processor for determining an actual road incline by filtering the expected road incline, half lane width position, and leading vehicle angles of arrival. And the processor is further for modifying a cruise control system based on the actual road incline.

Abstract: Embodiments include a vehicle system comprising a display capable of displaying a message indicating automatic activation of a driver assistance feature; at least one electronic control unit configured to determine whether preset driving conditions are met; and a processor configured to cause the display to display the message upon receiving a notification indicating satisfaction of the conditions, initiate a countdown, and automatically activate the driver assistance feature upon completion of the countdown. Embodiments also include a method of activating a driver assistance feature in a vehicle. The method includes receiving, at a processor, a notification indicating satisfaction of preset driving conditions; in response, displaying, on a display, a message indicating automatic activation of the driver assistance feature; initiating a countdown, using the processor; and automatically activating the driver assistance feature, using the processor, upon completion of the countdown.

Abstract: To deselect a target vehicle, certain actions are taken by an autonomously operating vehicle. An identified lane is identified. A target vehicle in the identified lane is selected. The target vehicle is determined to be departing the identified lane when an edge of the target vehicle crosses a virtual boundary. The target vehicle is deselected after determining that the target vehicle is departing the identified lane.

Abstract: To deselect a target vehicle, certain actions are taken by an autonomously operating vehicle. An identified lane is identified. A target vehicle in the identified lane is selected. The target vehicle is determined to be departing the identified lane when an edge of the target vehicle crosses a virtual boundary. The target vehicle is deselected after determining that the target vehicle is departing the identified lane.

Abstract: A vehicle system includes an input device interface and a processing device. The input device interface receives a radar signal. The processing device defines a region of interest between a host vehicle and a front vehicle, detects that a potential cut-in vehicle has entered the region of interest, and selects the potential cut-in vehicle as the new front vehicle. The vehicle system may be incorporated into an autonomous or partially autonomous vehicle.

Abstract: A computing device for a host vehicle includes a data storage medium and a processing device. The computing device is programmed to detect a host vehicle lane change from a first lane to a second lane, ignore a current target vehicle in the first lane before the host vehicle completes the lane change, and select a vehicle in the second lane as a new target vehicle before the host vehicle completes the lane change.

Abstract: A vehicle system includes a first sensor configured to output a first signal and a second sensor configured to output a second signal. The first and second signals represent movement of a potential cut-in vehicle. The vehicle system further includes a processing device programmed to compare the movement of the potential cut-in vehicle to at least one threshold. The processing device selects the potential cut-in vehicle as an in-path vehicle if the movement exceeds the at least one threshold.

Abstract: A vehicle system includes a first sensor configured to output a first signal and a second sensor configured to output a second signal. The first and second signals represent movement of a potential cut-in vehicle. The vehicle system further includes a processing device programmed to compare the movement of the potential cut-in vehicle to at least one threshold. The processing device selects the potential cut-in vehicle as an in-path vehicle if the movement exceeds the at least one threshold.

Abstract: A vehicle system includes an input device interface and a processing device. The input device interface receives a radar signal. The processing device defines a region of interest between a host vehicle and a front vehicle, detects that a potential cut-in vehicle has entered the region of interest, and selects the potential cut-in vehicle as the new front vehicle. The vehicle system may be incorporated into an autonomous or partially autonomous vehicle.