A path providing device for a repeater includes: a telecommunication control unit configured to perform communication with at least one of a server or a vehicle, a processor. The processor is configured to control the telecommunication control unit to receive map information including a plurality of layers of data from a server, receive dynamic information including sensing information from a vehicle located in an allocated area, and generate EHP information comprising at least one of an optimal path providing a direction with respect to one or more lanes or autonomous driving visibility information in which sensing information is merged with the optimal path to be transmitted to a target vehicle, using the map information and dynamic information.

A path providing device for a vehicle configured to communicate with a repeater includes: a telecommunication control unit configured to perform communication with the repeater, and a processor. The processor is configured to receive, from the repeater, EHP information comprising at least one of an optimal path providing a direction with respect to one or more lanes or autonomous driving visibility information in which sensing information is merged with the optimal path, and distribute the received EHP information to at least one electrical part disposed at the vehicle.

A method for controlling a vehicle using a model predictive controller generating consecutive sets of reference states at a calculation frequency. In one embodiment, the method comprises: receiving a trajectory reference for guiding movement of the vehicle; generating, in a calculation cycle repeated at the calculation frequency, a set of reference states based on an initial state of the vehicle at a start time of the calculation cycle and the trajectory reference; sending the set of reference states to a second controller; detecting, by the second controller at a detection frequency equal to or higher than the calculation frequency, an updated state of the vehicle; generating a vehicle control parameter value based on the updated state of the vehicle and a reference state of the set of reference states; and controlling the vehicle using the vehicle control parameter value.

A first vehicle control device generates and outputs a first vehicle packet that includes first vehicle information and a first time indicating a time when the first vehicle information is acquired. A second vehicle control device includes a reception determining portion successively determining whether the first vehicle packet is received, a second time acquisition portion acquiring a second time indicating a time when the first vehicle packet is received, a delay calculation portion calculating a communication delay time that is a difference between the first time and the second time, and a second vehicle control portion performing a delay considering control that is set by changing a delay ignoring control based on the communication delay time, the delay ignoring control being a vehicle control determined based on the first vehicle information when assuming that the first time and the second time are same.

A vehicle control method for controlling a vehicle in which a sailing control for traveling under inertia is executed when a vehicle is traveling. Each time the sailing control is executed, a history of sailing control is stored as history information classified according to situations in which sailing control was canceled. Also, a current travel situation is specified, history information corresponding to a current travel situation is specified from the stored history information, and whether to allow or disallow sailing control is determined based on the specified history information.

A method and device for operating a vehicle comprising a step of recording environment data values, which represent an environment of the vehicle, the environment comprising at least one environmental feature; a step of determining a comparative value of a comparison between the at least one environmental feature and a map, the map comprising at least one map feature, the at least one environmental feature corresponding the at least one map feature; a step of determining an up-to-dateness of the map, based on a comparison of the comparative value with a threshold value; and a step of operating the vehicle, as a function of the up-to-dateness of the map.

In a method for displaying driving route section factors influencing a vehicle, a first item of information concerning a first driving route section is determined. A second item of information concerning a second driving route section is determined. Depending on the first item of information, at least one first set of parameters that is representative of at least one factor of the first driving route section influencing the vehicle is determined. Depending on the second item of information, at least one second set of parameters that is representative of at least one factor of the second driving route section influencing the vehicle is determined. Depending on the at least one first set of parameters and the at least one second set of parameters, a display that represents an influencing factor of the first driving route section and an influencing factor of the second driving route section, in particular with reference to a predefined reference variable, is produced.

A controller receives sensor data during a ride and provides it to a server system. A passenger further provides feedback concerning the ride in the form of some or all of an overall rating, flagging of ride anomalies, and flagging of road anomalies. The sensor data and feedback are input to a training algorithm, such as a deep reinforcement learning algorithm, which updates an artificial intelligence (AI) model. The updated model is then propagated to controllers of one or more autonomous vehicle which then perform autonomous navigation and collision avoidance using the updated AI model.

In a vehicle control system, a sampling period change unit changes a sampling period such that the sampling period is made shorter, when a driving state of the vehicle becomes to have a higher possibility of accident as a result of driving control of the vehicle than when the driving state of the vehicle becomes to have a lower possibility of accident. A data storage control unit stores in an eMMC control instruction data stored in a temporary storage buffer in a non-volatile memory by sampling at the sampling period set by the sampling period change unit.

A vehicle control system is configured to group objects detected by a plurality of sensors. The vehicle control system includes an integration device that groups detection information from the plurality of sensors and outputs integrated detection information, and a vehicle control device that controls a vehicle on the basis of the integrated detection information. An arithmetic device of the information integration device stores first time-series information of the first detection information and second time-series information of the second detection information in a storage device, calculates a correction parameter of the first detection information by grouping the first time-series information and the second time-series information when the first sensor and the second sensor detect the same object, calculates correction information obtained by correcting the first detection information using the correction parameter, and outputs the integrated detection information by instantaneous value grouping using the correction information and the second detection information.