Abstract: A vehicle that includes controller(s) and components that are coupled with, among other devices and systems, imaging sensors, transceivers, and obstacle and infrastructure detectors, which are configured to detect and predict locations and movements of roadway obstacles, infrastructure features and elements that include, for example, intersections and crosswalks, and positions, movement, and trajectories of pedestrians and other vehicles. Such roadway obstacles may include the other vehicles, pedestrians on and entering the crosswalks and roadway, and other potential obstacles. The controller(s) and device(s) are also coupled to and/or configured trajectory and intersection signal detectors, which detect the roadway obstacles and features such as the pedestrians, other vehicles, intersections, and crosswalks, as well as signals for the roadways and crosswalks.

Abstract: A system includes a processor configured to receive a request from a host vehicle for video relating to a location specified in the request. The processor is also configured to determine whether a candidate vehicle receiving the request can provide the request video when the request is received. The processor is further configured to relay the request to a transceiver in wireless communication with the candidate vehicle, if the candidate vehicle cannot provide the requested video, otherwise record and transmit the requested video.

Abstract: Aerial vehicle sensor calibration systems and methods are provided herein. An example method includes determining a jarring event, determining when a drone is level relative to an aerial vehicle platform of a vehicle, the vehicle having a calibration controller, determining when the vehicle is level relative to a subordinate surface, and transmitting a signal to a drone controller by the calibration controller to calibrate a gyroscope or an accelerometer of the drone.

Abstract: A first distance d1 between a vehicle at a first location and an object is determined. A best fit line representing the object is determined from a plurality of sensor data. A distance ?d to move to a second location is specified. A predicted second distance dp between the vehicle at the second location and the object is determined based on the first distance d1, the distance ?d, and the best fit line. The vehicle is operated from the first location to the second location based on a center steering wheel angle. A measured second distance d2 between the vehicle at the second location and object is determined. Then the center steering wheel angle is one of (a) maintained based on the predicted second distance dp matching the measured second distance d2, or (b) updated based on the predicted second distance dp being different than the measured second distance d2.

Abstract: A computer includes a processor and a memory, the memory storing instructions executable by the processor to predict a user arrival time based on data of a user and a user origin location, deactivate a propulsion of the vehicle upon arriving at the user origin location, and deactivate one or more additional vehicle components based on the user arrival time.

Abstract: Systems and methods are provided for controlling deceleration fuel shut off (DFSO) in response to an external object or location, such as a target vehicle. In one example, a method may include, while operating an engine in DFSO, determining a rate of change of a range to the target vehicle, and commanding an exit from the DFSO based on the range rate of change. By exiting the DFSO based on the range rate of change, torque lash experienced by a driver may be correspondingly reduced as compared to exiting the DFSO based upon, for example, one or more powertrain operating conditions.

Abstract: A first distance d1 between a vehicle at a first location and an object is determined. A best fit line representing the object is determined from a plurality of sensor data. A distance ?d to move to a second location is specified. A predicted second distance dp between the vehicle at the second location and the object is determined based on the first distance d1, the distance ?d, and the best fit line. The vehicle is operated from the first location to the second location based on a center steering wheel angle. A measured second distance d2 between the vehicle at the second location and object is determined. Then the center steering wheel angle is one of (a) maintained based on the predicted second distance dp matching the measured second distance d2, or (b) updated based on the predicted second distance dp being different than the measured second distance d2.

Abstract: A communication system for a vehicle includes an accelerometer, and a controller electrically coupled to the accelerometer and configured to respond to a signal indicative of an accident of the vehicle. The controller's response to the signal includes activating an emergency mode, requesting biometric data of occupants of the vehicle, and transmitting data identifying the vehicle, a location of the vehicle and a time of activation, and biometric data.

Abstract: Aerial vehicle sensor calibration systems and methods are provided herein. An example method includes determining a jarring event, determining when a drone is level relative to an aerial vehicle platform of a vehicle, the vehicle having a calibration controller, determining when the vehicle is level relative to a subordinate surface, and transmitting a signal to a drone controller by the calibration controller to calibrate a gyroscope or an accelerometer of the drone.

Abstract: A vehicle that includes controller(s) and components that are coupled with, among other devices and systems, imaging sensors, transceivers, and obstacle and infrastructure detectors, which are configured to detect and predict locations and movements of roadway obstacles, infrastructure features and elements that include, for example, intersections and crosswalks, and positions, movement, and trajectories of pedestrians and other vehicles. Such roadway obstacles may include the other vehicles, pedestrians on and entering the crosswalks and roadway, and other potential obstacles. The controller(s) and device(s) are also coupled to and/or configured trajectory and intersection signal detectors, which detect the roadway obstacles and features such as the pedestrians, other vehicles, intersections, and crosswalks, as well as signals for the roadways and crosswalks.

Abstract: Methods and systems are provided for a vehicle wirelessly communicating with a central server. In one example, a method may include monitoring faults and sending engine conditions along with driver inputs to the central server for processing.

Abstract: Systems and methods are provided for controlling deceleration fuel shut off (DFSO) in response to an external object or location, such as a target vehicle. In one example, a method may include, while operating an engine in DFSO, determining a rate of change of a range to the target vehicle, and commanding an exit from the DFSO based on the range rate of change. By exiting the DFSO based on the range rate of change, torque lash experienced by a driver may be correspondingly reduced as compared to exiting the DFSO based upon, for example, one or more powertrain operating conditions.

Abstract: Embodiments provide a vehicle that can establish a network of nearby vehicles in order to upload large amounts of data. An example vehicle includes a sensor, a communication system, and a processor. The processor is configured to establish a network comprising a plurality of nearby vehicles having respective data upload rates, separate data gathered by the sensor into segments based on the respective data upload rates, and transmit to the plurality of nearby vehicles using the communication system (i) the segments, and (ii) instructions for uploading the segments to a server.

Abstract: Methods and apparatus to enable vehicle-to-vehicle guidance and tracking are disclosed. An example method includes transmitting, from a first vehicle, a first message to a second vehicle. The first message requests the second vehicle to become a leader vehicle. The example method further includes receiving a second message from the second vehicle. The second message includes leader information indicative of a travel path of the second vehicle. The example method also includes receiving authorization from the second vehicle for the first vehicle to follow the second vehicle.

Abstract: Methods and systems are provided for adjusting heater power of an oxygen sensor. In one example, a method for an engine includes adjusting heater power of a heating element of the oxygen sensor when the heater power increases by a threshold amount. The method includes subsequently increasing heater power back to a baseline power level responsive to a temperature of the heating element.

Abstract: Various methods are provided for compensating changes in the relation between impedance setpoint and operating temperature in an oxygen sensor. In one embodiment, a method of operating an oxygen sensor comprises adjusting an impedance setpoint based on a change in dry air pumping current of the oxygen sensor.

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: Methods and systems are provided for improving operation of a vehicle heating, ventilation, and air conditioning system. In one example, a method may include calibrating a vehicle humidity sensor position inside a cabin of the vehicle by obtaining one or more humidity measurements with one or more personal computing devices positioned inside the cabin, and may further include adjusting operation of the heating, ventilation, and air conditioning system responsive to the calibration. In this way, an interior humidity sensor of a vehicle may be regularly calibrated, which may improve operation of the vehicle heating, ventilation, and air conditioning system, and may further increase fuel economy.

Abstract: The present description relates generally to methods and systems for detecting thermal aging and blackening in oxygen sensors. Thermal aging and blackening effects may be differentiated based on a monitored change in impedance in each of a pump cell and a Nernst cell of the oxygen sensor following application of an alternating voltage. In response to detection of thermal aging and/or blackening in the oxygen sensor corrective measures may be taken to ensure accurate oxygen estimation using the sensor.

Abstract: Method and apparatus are disclosed for electric vehicle charging station parking spot monitoring system. An example electric vehicle charging station includes a communication module, sensors, and a charge controller. The communication module communicatively couples to a vehicle parked in a parking spot associated with the charging station. The sensors monitor the parking spot. The charge controller receives identifying information and battery information from the vehicle parked in the parking spot, and when the vehicle is not eligible for charging, sends the identifying information of the vehicle to a parking enforcement authority.