A method for assessing accident risks to a moving vehicle (100; 110) includes continuously monitoring (s410) a surroundings configuration while the vehicle (100; 110) is in motion, continuously determining (s420) running characteristics for the vehicle (100; 110), continuously registering (s430) the surroundings configuration in order to create and provide an idea about chosen characteristics of the surroundings passed by the vehicle using the running characteristics and the idea as a basis for assessing (s440) accident risks related to the surroundings passed by the vehicle (100; 110). Also a computer program product includes program code (P) for a computer (200; 210) for implementing the method. Also the device and a vehicle equipped with the device.

Provided is a driving assistance device capable of responding to situations in which an obstacle to automatic driving (which can include remote control driving) occurs in a situation other than when parking a vehicle in a garage. This driving assistance device has a peripheral environment detection unit that detects peripheral environment information, which is information pertaining to the environment around a vehicle, and an automatic driving control unit that, on the basis of the peripheral environment information, controls automatic driving wherein the vehicle is made to travel without involving driving operations by an occupant. When it is determined that automatic driving based on the peripheral environment information is not possible, the automatic driving control unit continues, by means of remote control, the automatic driving without involving driving operations by the occupant.

A control system for a vehicle comprises an automated driving control part configured to automatically perform driver assistance operations for which the driver has given permission among a plurality of driver assistance operations. The automated driving control part comprises a package determining part using at least one of the surrounding environment information, the host vehicle information, and the driver information as the basis to determine a driver assistance package packaging permissions for a plurality of driver assistance operations and a package proposing part proposing to the driver to switch to a driver assistance package so as to obtain permissions for the individual driver assistance operations permitted in the driver assistance package.

A vehicle control system includes: a recognizer configured to recognize a surrounding situation of an own vehicle; a determiner configured to determine whether a condition for lane changing of the own vehicle from an own lane to an adjacent lane is satisfied based on the surrounding situation recognized by the recognizer; and a traveling controller configured to control steering and a deceleration or acceleration speed of the own vehicle and perform lane-changing control to change the own lane to the adjacent lane when the determiner determines that the condition is satisfied. The lane-changing control is inhibited when a speed of the own vehicle is equal to or less than a predetermined speed.

A computer-implemented prediction method of making time-series predictions for controlling and/or monitoring a computer-controlled system, such as a semi-autonomous vehicle. The method uses a time series of one or more observed states. A state comprises values of measurable quantities of multiple interacting objects. Based on the observed states, values of time-invariant latent features for the multiple objects are determined, for example, according to an encoder model. A decoder model is then used to predict at least one next state. This involves applying a trained graph model to obtain a first prediction contribution based on an object's interactions with other objects, and applying a trained function to obtain a second prediction contribution based just on information about the object itself. Based on the predicted next state, output data is generated for use in controlling and/or monitoring the computer-controlled system.

An off-road vehicle includes a driveline, a control system, and a braking system. The driveline provides driveline power and driveline brake power to a first tractive assembly and/or a second tractive assembly. The control system stores vehicle information, determines driving instructions based on environment data, and determines speed references for tractive elements of the first and second tractive assemblies based on the driving instructions and the vehicle information. The braking system includes brakes and a braking subsystem. The brake subsystem operates the brakes to provide brake power to one or more components of the first and/or second tractive assemblies. The brake controller controls the brakes to selectively provide the brake power and the control system controls the driveline to selectively provide the driveline power and the driveline brake power based on current speeds of the tractive elements and the speed references to accommodate the driving instructions.

An autonomous delivery box includes a first memory, a first processor coupled to the first memory, and a delivery box configured to house a package. The autonomous delivery box is configured to travel autonomously between a dispatch base from which the package is dispatched and a handover location at which the package is handed over. The first processor is configured to authenticate opening permission for a door of the delivery box, and to control whether or not the autonomous delivery box is permitted to travel such that the autonomous delivery box is not permitted to travel in a case in which a travel-permitting condition of the autonomous delivery box has not been satisfied at the handover location.

A power distribution control system of a vehicle includes a driving information provider for collecting and providing information required for power distribution control of an engine and a motor in the vehicle; a communication unit for transmitting the information provided by the driving information provider from the vehicle; a cloud server outside the vehicle for selecting and transmitting optimal power distribution control logic data corresponding to a driving situation of the vehicle based on the information provided through the communication unit from the vehicle; and a vehicle controller for performing power distribution control of the engine and the motor based on real-time driving state variable information of the vehicle using the optimal power distribution control logic data received through the communication unit by the vehicle from the cloud server.

A method for operating a motor vehicle, with a drive device for providing a driving torque as well as a detection device for detecting at least one other motor vehicle up ahead. An automatic length guidance of the motor vehicle is carried out. In this case, it is provided that, in the framework of the length guidance, a distance of the motor vehicle from the other motor vehicle is adjusted to a nominal distance. The nominal distance corresponds to a distance setting at constant distance, and starting from the distance setting, it is increased in the event of a distance change resulting from a positive acceleration of the other motor vehicle, and it is reduced in the event of a distance change resulting from a negative acceleration of the other motor vehicle.

Aspects of the present invention relate to a method and to a control system for controlling an active suspension of a vehicle, the control system comprising one or more controllers, the control system configured to: determine whether a transient suspension disturbance to the vehicle is from within a cabin of the vehicle; and control a variable force parameter of the active suspension in dependence on whether the transient suspension disturbance is from within the cabin of the vehicle.