A method for cleaning up vehicle driving data includes receiving vehicle driving data of a vehicle within a predetermined time period, the vehicle driving data comprising vehicle mileage data and vehicle status data; determining a first mileage of the vehicle within the predetermined time period based on the vehicle mileage data; determining a second mileage of the vehicle within the predetermined time period based on the vehicle status data; and judging whether the first mileage is abnormal data based on the second mileage.

A method for cleaning up vehicle driving data includes receiving vehicle driving data of a vehicle within a predetermined time period, the vehicle driving data comprising vehicle mileage data and vehicle status data; determining a first mileage of the vehicle within the predetermined time period based on the vehicle mileage data; determining a second mileage of the vehicle within the predetermined time period based on the vehicle status data; and judging whether the first mileage is abnormal data based on the second mileage.

Technologies and techniques for reconfiguring an autonomous vehicle in the event of a fault, wherein application entities are executed in a distributed manner across a plurality of computing nodes in accordance with a predefined configuration. A fault in an application entity and/or in an operating system and/or in a piece of hardware is detected via the at least one monitor device, wherein the detected fault is isolated via a switching device by switching to application entities which are redundant with respect to the affected application entities, and wherein predefined redundancy conditions and/or segregation conditions are restored for the application entities by the reconfiguration, by an application placement device of the configuration, wherein the reconfiguration is carried out such that the number of times application entities are switched to other computing nodes to establish the predefined redundancy conditions and/or segregation conditions will be or is minimized.

An object validation system for validating perceived surrounding objects to support safety-critical threat assessment governing emergency maneuvering of an ADS on-board a vehicle. The system stores in respective sensor/modality-specific data buffers, respective sensor/modality-specific sensor data obtained at least during a predeterminable time interval continuously and/or intermittently from one or more vehicle-mounted surrounding detecting sensors. The system determines with support from a perception module configured to generate perception data based on sensor data from one or more vehicle-mounted surrounding detecting sensors, object data of a perceived object valid for the time interval. The system evaluates one or more of the respective sensor/modality-specific data buffers, separately, in view of the object data. The system also determines that the perceived object is a validated object when the object data matches sensed objects in the one or more respective sensor/modality-specific data buffers according to predeterminable matching criteria, and otherwise is an unvalidated object.

The disclosure relates to a method for controlling a vehicle with an autonomous vehicle system which comprises an autonomous operating driving system which is configured to perform a dynamic driving task during fault-free operation of the autonomous operating driving system, and a redundancy driving system which is configured to carry out a reduced driving task. The autonomous operating driving system carries out trajectory planning and provides a planned trajectory for the reduced driving task to the redundancy driving system. If a fault of the operating driving system is detected, the redundancy driving system controls at least one vehicle actuator to perform the reduced driving task using the planned trajectory. Furthermore, the disclosure relates to an autonomous vehicle system and a vehicle with an autonomous vehicle system.

Autonomous driving of a vehicle in which computerized perception by the vehicle, including of its environment and of itself (e.g., its egomotion), is used to autonomously drive the vehicle and, additionally, can also be used to provide feedback to enhance performance, safety, and/or other attributes of autonomous driving of the vehicle (e.g., when certain conditions affecting the vehicle are determined to exist by detecting patterns in or otherwise analyzing what is perceived by the vehicle), such as by adjusting autonomous driving of the vehicle, conveying messages regarding the vehicle, and/or performing other actions concerning the vehicle.

Autonomous driving of a vehicle in which computerized perception by the vehicle, including of its environment and of itself (e.g., its egomotion), is used to autonomously drive the vehicle and, additionally, can also be used to provide feedback to enhance performance, safety, and/or other attributes of autonomous driving of the vehicle (e.g., when certain conditions affecting the vehicle are determined to exist by detecting patterns in or otherwise analyzing what is perceived by the vehicle), such as by adjusting autonomous driving of the vehicle, conveying messages regarding the vehicle, and/or performing other actions concerning the vehicle.

An autonomous vehicle control device controls an autonomous vehicle provided with a warning sound output device. The autonomous vehicle control device prohibits transition to a traveling mode when an abnormality occurs in the warning sound output device. Before traveling, the autonomous vehicle control device may execute sound output control to cause the warning sound output device to output a warning sound, and determine whether the abnormality occurs based on output data of the warning sound output by the warning sound output device.

Methods and systems for a powertrain power management in a vehicle with an electric motor, and an engine are disclosed. The methods and systems involve a powertrain that is operatively coupled to the engine and the electric motor, and an optimizer module operatively coupled to the powertrain. The optimizer module receives an operator information to travel a route from a remote management module, receives current route information for the route from a mapping application in response to the operator information, measures current vehicle status information for the hybrid vehicle, and decides a power management strategy for the vehicle based on the current route information and the current vehicle status information.

A system includes: one or more storage devices that store specific position information indicating a specific position where an autonomous vehicle has a possibility to require remote support; and one or more processors configured to set a first target route as a target route, determine whether an abnormality has occurred in a remote support system, when the abnormality is detected in the remote support system, search for an alternative route that is a route to the destination based on the specific position information, the alternative route having a smaller number of the specific positions to be passed through by the autonomous vehicle than the first target route, when the alternative route is found, change the target route from the first target route to the alternative route, and control the autonomous vehicle.