A method for operating an automated motor vehicle during automated driving includes determining the current motor vehicle route data, a current trajectory of the motor vehicle, and environment information. The method also includes ascertaining a driving maneuver that is to be expected, associating this driving maneuver with one of the at least two motoring comfort levels, and outputting advice to the occupants of the motor vehicle if the current motoring comfort level changes as a result. The method further includes automatically and actively taking measures relating to the interior to adjust the interior to suit the motoring comfort level that is to be expected.

This invention involves the effect of multiple rules of the road at different elevation profiles on the speed constraints and therefore the overall fuel efficiency. A vehicle designed to optimize fuel consumption that is comprised of the rules of the road that determine maximum speed, minimum speed, stop signs, streetlights, and/or changes in other rules that determine the allowable speeds of the road, a localization mechanism, and an optimization engine to optimize the fuel economy by selecting a speed profile within that maintains the vehicle within the assigned range of speeds and minimizes fuel consumption. A wide variety of methods that typically are used to optimize the fuel efficiency of human drivers operating standard vehicles can also be applied towards autonomous vehicles driving at different speed constraints and with different changes in the elevation.

Disclosed herein are methods and systems for operating automated vehicles to accomplish an agricultural mission according to a hierarchically computed mission plan, comprising receiving a plurality of mission parameters defining an agricultural related mission, computing a generic plan for executing the mission by one or more of a plurality of vehicle classes grouping automated vehicles sharing common vehicle parameters coupled with one or more of a plurality of payload classes grouping payloads sharing common payload parameters, computing a plurality of specific plans for executing the mission by one or more automated vehicles of the selected vehicle class(s) coupled with one or more payloads of the selected payload class(s), selecting one of the plurality of specific plans which reduces one or more mission attributes of the mission and outputting instructions for operating the selected automated vehicle(s) and the selected payload(s) to execute the mission according to the selected specific plan.

A driving diagnostic information management apparatus includes: a diagnostic information acquisition portion configured to acquire driving diagnostic information on a driver; a storage processing portion configured to store the driving diagnostic information per driver in a storage portion; a reception portion configured to receive a provision request on the driving diagnostic information; and a providing portion configured to, upon receipt of the provision request on the driving diagnostic information, provide the driving diagnostic information on a driver corresponding to the provision request.

A system and a method for controlling logistics transportation includes a control server to transmit position information of a trailer to an autonomous tractor, and a trailer managing device to receive information on an identification of the autonomous tractor from the control server and to open a door of a warehouse corresponding to the position information of the trailer, when information on an identification of an autonomous tractor, which is extracted from a surrounding image of the warehouse corresponding to the position information of the trailer is matched with the received information on the identification of the autonomous tractor.

The present disclosure relates to a method for the fully automated guidance of a motor vehicle by a vehicle system in a driving situation of at least one driving situation class, wherein the vehicle system has a control device and accesses position data of a position sensor. The method starts with providing a traffic rule database in which traffic rule sets for a plurality of geographic regions are stored in a machine-readable formal language and which can be accessed by the control device, and determining a geographical region currently traveled by the motor vehicle based on the current position data and retrieving a traffic rule set for the currently traveled geographical region from the traffic rule database via the control device. After or upon determination of a trajectory currently to be traveled by the control device, the vehicle system will verify the trajectory for compliance with traffic rules using the retrieved traffic rule set for the geographic region currently traveled by the control device, wherein the trajectory currently to be traveled is adjusted in the event of non-compliance, and guide the motor vehicle based on the trajectory currently to be traveled.

An autonomous vehicle includes a control system for remotely controlling the same. The autonomous vehicle includes an autonomous driving control apparatus having a processor that is configured to transmit an emergency request message to a control system when an emergency occurs to an emergency patient in the vehicle during autonomous driving, and the autonomous driving control apparatus is configured to direct the autonomous vehicle to follow a path with a shortest estimated required time among a contact path with an ambulance, a contact path with a neighboring vehicle capable of first aid, or a travel path to a hospital depending on remote control of the control system.

A remote driving taxi system provides a mobility service using remote driving taxis that are driven by remote drivers. Each of the remote driving taxis includes a display lamp configured to indicate whether the remote driving taxi is currently available. Management information includes use states of the remote driving taxis and assignment states between the remote driving taxis and the remote drivers. The remote driving taxi system puts on the display lamp of the remote driving taxi to which the remote driver has already been assigned and that is currently available, based on the management information. Further, the remote driving taxi system puts off the display lamp of the remote driving taxi to which the remote driver has already been assigned and that is currently unavailable, based on the management information.

A method, system and medium for assisted driving of a vehicle are disclosed. The method comprises predicting a target intersection based on map information, a positioning location of the vehicle, and a motion status of the vehicle, where the target intersection is an intersection that the vehicle is to first pass in the future; determining a distance between the vehicle and the target intersection based on the map information and the positioning location of the vehicle; collect a turn light status of the vehicle; and when the distance between the vehicle and the target intersection is less than a first threshold, generating prompt information based on the turn light status of the vehicle and a first turning rule of a first lane in which the vehicle is located at the target intersection, where the prompt information prompts that the turn light status does not conform to the first turning rule.

A parking charge device, which charges a parking fee of a target vehicle in a parking lot with automated valet parking service, is configured to: start a count operation for charging purpose when a start condition is satisfied, terminate the count operation when a termination condition is satisfied; calculate a parking fee corresponding to a count value obtained by the count operation; and calculate a temporary parking fee based on the count value at a detection time of an exit request of the target vehicle. When the count operation is terminated within a preset duration, the temporary parking fee is adopted as the parking fee corresponding to the count value.