A system includes a processor and a memory. The memory stores instructions executable by the processor to, based on a vehicle destination, identify a diagnostic condition and a specified operating pattern of a vehicle component that includes at least one of vehicle propulsion, braking, and steering. The memory stores instructions executable by the processor to operate the vehicle based on the vehicle component and the operating pattern.

A method for controlling at least a first vehicle sensor includes receiving sensor data generated by one or more vehicle sensors that are configured to sense an environment through which the vehicle is moving, and identifying, based on the received sensor data, one or more current and/or predicted positions of one or more dynamic objects that are currently moving, or are capable of movement, within the environment. The method also includes causing, based on the current and/or predicted positions of the dynamic objects, an area of focus of the first sensor to be adjusted, at least by causing (i) a field of regard of the first sensor, and/or (ii) a spatial distribution of scan lines produced by the first sensor, to be adjusted.

A cruise control apparatus controls travel of an own vehicle based on a predicted course which is a future travel course of the own vehicle. The cruise control apparatus includes a first predicted course calculating unit and a second predicted course calculating unit, as a plurality of course prediction means for calculating a predicted course, and is provided with a course change determination unit for determining whether a change in the course is to be performed and a prediction switching unit which performs switching to enable one of a first predicted course calculated by the first predicted course calculating unit and a second predicted course calculated by the second predicted course calculation unit, the switching being based on a result of determination made by the course change determination unit as to whether a change in the course is to be performed.

In an approach to mirage detection by autonomous vehicles, one or more computer processors monitor road conditions of a road on which an autonomous vehicle is traveling. One or more computer processors detect a visual indication of a water accumulation on the road. One or more computer processors determine whether one or more other vehicles are detected on the road ahead of the autonomous vehicle. Responsive to determining the one or more other vehicles are detected, one or more computer processors request information associated with road conditions of the road ahead of the autonomous vehicle from the one or more other vehicles. Based on a response to the request from the one or more other vehicles, one or more computer processors determine the one or more other vehicles did not detect the water accumulation. One or more computer processors determine the visual indication of the water accumulation is a mirage.

A vehicle travel assist device which enables setting of a target travel route while limiting the increase in computational load including an automatic drive control device is provided with: a storage unit that stores a map indicating the relation between a limit value of variation in lateral acceleration and time; a profile creation unit that, when information specifying a target position is inputted, creates a lateral acceleration profile indicating the relation between the lateral acceleration of a vehicle and time on the basis of the target position, an estimated time of arrival, and the map stored in the storage unit; and a target deriving unit that derives a target travel route leading to the target position by performing integration twice on the created lateral acceleration profile.

A computer that includes a processor and memory. The memory may store instructions executable by the processor. The instructions may include: following a driver-initiated trigger to deactivate a driver assist mode, to reactivate the mode when, for a dwelling period, each of a plurality of conditions equal respectively predetermined value.

The invention relates to a method for operating a motor vehicle that comprises a navigation device having stored route sections, and a control device for longitudinally and/or transversely guiding the motor vehicle when in an autonomous operating mode, at least one parameter being associated with at least one route section and determining whether said route section is approved for travelling when in the autonomous operating mode, the at least one parameter being retrieved from a server by the navigation device and/or by the control device, by means of a wireless communication connection.

A method provided for producing a model of the surroundings of a vehicle, wherein a lane is determined on the basis of objects, free space boundaries and/or roadway limitations. The lane indicates the zone around the vehicle in which the vehicle can drive freely. The lane includes at least one lane segment, the lane segment comprising at least one lane segment boundary, in particular a front lane segment boundary, a rear lane segment boundary, a left lane segment boundary and a right lane segment boundary. The distance from the vehicle to the lane segment boundary is determined, and the lane is made available to a driver assistance system.

Described herein are various techniques, including systems and non-transitory instructions, that, in response to obtaining information regarding a potential collision between a vehicle and an object, obtain data describing the vehicle for a time period extending before and after a time of the potential collision. The system may determine a likelihood that the potential collision is a non-collision event based on the data describing the vehicle by performing one or more assessments. The assessments may include telematics monitor assessment, driver behavior assessment, road surface feature assessment, trip correlation assessment, and/or context assessment. In response to determining that the likelihood indicates that the potential collision is not a non-collision event, the system may trigger one or more actions responding to the potential collision.

Disclosed herein are system, method, and computer program product embodiments for switching between local and remote guidance instructions for autonomous vehicles. For example, the method includes, in response to monitoring one or more actions of objects detected in a scene in which the autonomous robotic system is moving, causing the autonomous robotic system to slow or cease movement in the scene. The method includes detecting a trigger condition based on movement of the autonomous robotic system in the scene. In response to the one or more monitored actions and detecting the trigger condition, the method includes transmitting a remote guidance request to a remote server. After transmitting the remote guidance request, the method includes receiving remote guidance instructions from the remote server and causing the autonomous robotic system to begin operating according to the remote guidance instructions.