A method for operating an autonomous vehicle. The method includes the transmission of status data to a processing unit, which is independent of the autonomous vehicle, using a wireless communications link. The method furthermore includes monitoring of the function of the autonomous vehicle by the independent processing unit while taking the status data into account, and when a malfunction of the autonomous vehicle is detected, the independent processing unit determines target data for guiding the autonomous vehicle to a stopping position. The target data are transmitted to the autonomous vehicle, and the autonomous vehicle is guided to the stopping position with the aid of the target data. A position of the autonomous vehicle is determined using signals from the wireless communications link and is taken into account when determining the target data.

A platooning control apparatus may include: a navigation unit configured to guide an ego vehicle to a destination set by a driver; a driving module configured to drive the ego vehicle; and a control unit configured to primarily select platooning groups based on the destination set in the navigation unit, analyze platooning information of the primarily selected platooning groups, finally decide any one of the primarily selected platooning groups, and then control the driving module to join the finally decided platooning group.

Methods and systems for monitoring use, determining risk, and pricing insurance policies for a vehicle having one or more autonomous or semi-autonomous operation features are provided. According to certain aspects, an identity of a vehicle operator may be determined and a vehicle operator profile and/or operating data regarding autonomous operation features of the vehicle may be received after the vehicle operator opts into a rewards program and agrees to share their data. Autonomous operation and vehicle operator risk levels associated with operation of the autonomous or semi-autonomous vehicle may be determined. Based upon the risk levels and/or comparison thereof, one or more autonomous operation features may be disengaged. A preparedness level of the vehicle operator to assume or reassume control of operating the vehicle is determined prior to disengagement. If satisfactory, an alert is presented to the vehicle operator prior to disengagement of the autonomous operation features.

An engine diagnostic system includes an engine and a control system having a controller operatively connected to the engine. A monitoring system has a measurement device operatively connected to the engine. A diagnostic system is operatively connected to the engine. A communication system is configured to send and receive data from a remote location. The diagnostic system is configured to implement a non-starting engine diagnostic procedure, at least a portion of which is performed while the engine is cranking, and to transmit data generated during the engine diagnostic procedure to the remote location through the communication system.

Exemplary embodiments relate to a vehicle control system, an external electronic control unit, a vehicle control method, and an application, and more particularly, to a vehicle communication system installed in a vehicle and an external electronic control unit capable of performing vehicle control by transmitting, to the vehicle communication system, a vehicle control signal for controlling behavior of the vehicle on the basis of vehicle information received from the vehicle communication system. According to exemplary embodiments, it is possible to easily add or update a vehicle control function, to perform precise vehicle control, and also to perform autonomous traveling control with a user's terminal.

An anomaly detection electronic control unit connected to an in-vehicle network includes: a communicator that receives a first communication message indicating speed information of a vehicle including the in-vehicle network and a second communication message indicating peripheral information of the vehicle; a processor; and a memory including at least one set of instructions that, when executed by the processor causes the processor to perform operations including: (A) determining a first traveling state of the vehicle based on the speed information and a second traveling state of the vehicle based on the peripheral information; (B) determining, by comparing the first traveling state with the second traveling state, that the first communication message is anomalous when the first traveling state is different from the second traveling state; and (C) executing processing to handle an anomaly when the first communication message is determined to be anomalous.

The present disclosure relates to a method performed by a trajectory monitoring system of a vehicle for assessment of a vehicle control system of an advanced driver-assistance system, ADAS, or autonomous driving, AD, system of the vehicle. The trajectory monitoring system determines in view of a reference system a planned vehicle trajectory adapted to be executed by the vehicle control system during a predeterminable time period (T). The trajectory monitoring system furthermore determines following initiation and/or completion of the time period, an actual vehicle trajectory of the vehicle during the time period in view of the reference system. Moreover, the trajectory monitoring system determines an accuracy deviation measure indicating deviation between the actual vehicle trajectory and the planned vehicle trajectory. The trajectory monitoring system further communicates acknowledgment data indicative of the accuracy deviation measure.

An information processing device includes a control unit. The control unit acquires traveling information that is obtained in association with driving of a first vehicle and evaluation information about evaluation of the driving of the first vehicle by an occupant of a second vehicle that travels in a periphery of the first vehicle, and decides a premium of an automobile insurance for the driver of the first vehicle, based on a comparison process of the acquired traveling information and the acquired evaluation information.

A platooning control apparatus may include: a navigation unit configured to guide an ego vehicle to a destination set by a driver; a driving module configured to drive the ego vehicle; and a control unit configured to primarily select platooning groups based on the destination set in the navigation unit, analyze platooning information of the primarily selected platooning groups, finally decide any one of the primarily selected platooning groups, and then control the driving module to join the finally decided platooning group.

A vehicle includes a first communication device configured to communicate with a server that correlatively stores trained models of other vehicles and information relating to training conditions of the models of the other vehicles, and a first control device. The first control device is configured to transmit information relating to training conditions of a model of an own vehicle to the server. The first control device is configured to receive part of a model of a particular vehicle of which training conditions are closest to those of the model of the own vehicle, which has been selected from the models of the other vehicles stored in the server, as transfer-learning data. The first control device is configured to reuse part of the received model of the particular vehicle and perform training of the model of the own vehicle.