An approach for operating a motor vehicle that is designed for an autonomous and/or partially autonomous driving operation in which the motor vehicle is moved along a predetermined driving trajectory. During the autonomous or partially autonomous driving operation, a driving trajectory running centrally or substantially centrally along the lane traveled is shifted to the edge of the lane on the basis of lane information describing the lane currently traveled by the motor vehicle, and on the basis of speed information describing a current speed of the motor vehicle, and on the basis of at least one piece of traffic information describing a current traffic volume in the surroundings of the motor vehicle. Alternatively, or in addition, the motor vehicle is stopped before a bottleneck or an intersection is entered on the basis of road-course information describing the bottleneck or the intersection along the road course to be traveled, and additionally on the basis of emergency vehicle information describing the presence of an emergency vehicle in the surroundings of the motor vehicle, and/or on the basis of accident information describing an accident along the road course to be traveled.

A histogram is calculated based on a road surface image of a portion around a vehicle, and the histogram is separated into a histogram that represents an in-sunlight road surface and includes a first peak value and a histogram that represents a shadow road surface and includes a second peak value to output the histograms, thereby further enhancing the accuracy of road surface detection around the vehicle as compared with conventional art.

A method, computer program product, and computing system for operating an autonomous vehicle; monitoring the operation of a plurality of computing devices within the autonomous vehicle; and in response to detecting the failure of one or more of the plurality of computing devices, switching the autonomous vehicle from a nominal autonomous operational mode to a degraded autonomous operational mode.

A method may include receiving sensor data of a sensor associated with a vehicle occupied by a user, the sensor data indicating that the vehicle is involved in an accident. The method may further include determining one or more potential injuries sustained by occupants of the vehicle during the accident and transmitting an indication of the one or more injuries to a mobile device of the user. Still further, the method may including prompting the user to provide a response confirming or modifying the one or more potential injuries and updating the one or more potential injuries based on the response. The method may also include generating at least one insurance claim form for the accident based on the one or more potential injuries.

Vision based guidance system and method for lawn mowing devices are disclosed. An exemplary method for operating an autonomous lawn mower includes receiving, via a receiver, a perimeter data set from a handheld computer. The perimeter data set includes a perimeter outline of at least one perimeter that is determined utilizing a GPS unit of the handheld computer. The exemplary method also includes collecting, via at least one camera, images of a set area within the perimeter outline and mowing, via a mowing blade, grass within the set area. The exemplary method also includes autonomously steering, via a controller, the autonomous lawn mower based on the perimeter outline of the at least one perimeter and the images captured by the at least one camera.

A method for controlling an operating mode of a vehicle is presented. The method includes determining a current range of the vehicle while the vehicle is operating in a first operating mode. The method also includes determining a distance to a destination. The method further includes controlling the vehicle to operate in a second operating mode instead of the first operating mode when the range is less than the distance to the destination.

A vehicle communication system includes: a communication server and a vehicle control device. The vehicle control device includes at least one electronic control unit configured to: recognize a position of the host vehicle; acquire section information on the communication established section and the communication interrupted section; determine in which section, either the communication established section or the communication interrupted section, the host vehicle is traveling or is to travel; perform system driven control of the host vehicle based on the road condition information when the host vehicle travels in the communication established section; and perform driver driven control of the host vehicle when the host vehicle travels in the communication interrupted section.

A vehicle system includes an electronic control unit. The electronic control unit is configured to execute a first program, a second program, and a third program. The first program is configured to recognize an object present around a vehicle, the second program is configured to store information related to the recognized object as time-series map data, and the third program is configured to predict a future position of the object based on the stored time-series map data. The first program and the third program are configured to be (i) first, individually optimized based on first training data corresponding to output of the first program and second training data corresponding to output of the third program, and (ii) then, collectively optimized based on the second training data corresponding to the output of the third program.

One embodiment describes an automation system including a sensor that determines operational parameters of the automation system; one or more actuators that perform control actions during operation of the automation system; and a control system communicatively coupled to the sensor and the one or more actuators. The control system includes memory that stores the operational parameters; determines occurrence of memory errors in data stored in the memory; determines error parameters that indicate characteristics of the memory errors; determines error-corrected data by correcting the memory errors based at least in part on the error parameters; adaptively adjusts a refresh rate used to refresh stored data in the memory based at least in part on the error parameters; and determines control commands instructing the one or more actuators to perform the control actions by processing the error-corrected data.

A vehicle control apparatus is provided with: a recognizer configured to recognize a surrounding situation of a host vehicle; a controller programmed to perform a deceleration control when a deceleration target is recognized by the recognizer; and a detector configured to detect a slip of the host vehicle. The controller sets a first controlled variable, which is a controlled variable associated with the deceleration control when the slip of the host vehicle is detected without execution of the deceleration control, so as to suppress an extent of deceleration of the host vehicle, in comparison with a second controlled variable, which is the controlled variable when the slip of the host vehicle is not detected without execution of the deceleration control.