It is possible to manage information on a city area in a centralized manner and reduce a processing load. A management system includes: information acquisition means that is provided in infrastructure of a predetermined city area and acquire information on the city area; service providing means sending instructions to respective mobile bodies for providing a plurality of different conveyance services, each of the mobile bodies including a sensor configured to detect the information on the city area and moving in the city area based on the information detected by the sensor, thereby providing each of the conveyance services; and instruction means for sending an instruction to the service providing means based on the information on the city area acquired by the information acquisition means.

A method comprises determining a vectorized representation of positions of road agents and road geometry based on sensor data from a vehicle, inputting the vectorized representation of the positions of the road agents and the road geometry into a trained transformer network, predicting one or more road agent trajectories at one or more future time steps based on an output of the transformer network, predicting an acceleration of the vehicle at the one or more future time steps based on the predicted one or more road agent trajectories at the one or more future time steps, and causing the vehicle to perform the predicted acceleration at the one or more future time steps.

An image projection apparatus that can be attached to a vehicle and can be effectively utilized for acquisition of road surface condition information, detection of a hidden vehicle, and the like is provided. The image projection apparatus that projects an image includes: an acquisition unit that acquires information related to a vehicle; an image projection unit that projects an image based on the information acquired by the acquisition unit; and imaging means that acquires an image outside the vehicle, the image projection unit projects light in a wavelength band centered on a wavelength of 1.4 μm and the imaging means provides the information related to the vehicle by imaging an image projected based on the light in the wavelength band centered on the wavelength of 1.4 μm.

Aspects of the disclosure relate to controlling autonomous vehicles to provide automated emergency response functions. A computing platform may receive vehicle data associated with a vehicle from an on-board vehicle monitoring system associated with the vehicle. Subsequently, the computing platform may detect an occurrence of an emergency at a location. Thereafter, the computing platform may select an autonomous vehicle to respond to the emergency at the location based on autonomous vehicle state information. Then, the computing platform may generate one or more dispatch commands directing the autonomous vehicle to move to the location and execute one or more emergency response functions. Subsequently, the computing platform may send, to an on-board autonomous vehicle control system associated with the autonomous vehicle, the one or more dispatch commands directing the autonomous vehicle to move to the location and execute the one or more emergency response functions.

An information processing method, a server, and an intelligent mobile robot, so that when the intelligent mobile robot encounters a danger, the intelligent mobile robot exchanges information with the server to achieve a purpose of escaping from a scene to a safe place. The method includes: receiving, by a server, a danger alarm sent by an intelligent mobile robot, where the danger alarm is used to indicate that the intelligent mobile robot detects a dangerous event; determining, by the server, a safe position for the intelligent mobile robot, where the safe position is a position in which the dangerous event does not occur currently; and sending, by the server, an escape instruction to the intelligent mobile robot, where the escape instruction includes the safe position.

A vehicle control device includes a communication unit configured to be communicable with an autonomous driving vehicle that autonomously travels, a determination unit configured to determine whether there is a possibility that communication between the autonomous driving vehicle and the vehicle control device is disconnected, based on information indicating a communication status between the autonomous driving vehicle and the vehicle control device, and a travel instruction unit configured to transmit, when there is the possibility that the communication between the autonomous driving vehicle and the vehicle control device is disconnected, a travel instruction to the autonomous driving vehicle via the communication unit before the communication between the autonomous driving vehicle and the vehicle control device is disconnected. The travel instruction matches conditions associated with travel control of the autonomous driving vehicle.

Techniques are described for dynamically selecting vehicles to perform road friction probing maneuvers and estimating road friction based on sensor data collected while a vehicle performs the road friction probing maneuvers. In one example, a computing system is configured to select, from a plurality of vehicles, based on an amount of elapsed time since each respective vehicle of the plurality of vehicles has performed a road friction probing maneuver, a vehicle to perform the road friction probing maneuver within a road segment of a roadway, and responsive to selecting the vehicle, output, to the vehicle, a command causing the vehicle to perform the road friction probing maneuver within the road segment.

A user equipment (UE) in a vehicle, or a road side unit, may broadcast an inter-vehicle message for a driving maneuver to be executed by the vehicle. The inter-vehicle message may be a coordinated driving maneuver request requiring acceptance from another vehicle or an informational message for the intended driving maneuver. The inter-vehicle message includes a temporal execution window defining a range of time during which the driving maneuver will be initiated. A temporal window defining a range of time during which the driving maneuver will be completed may also be included. A spatial window defining a range of distance for a start and/or stop location for the driving maneuver may also be completed. The vehicle may execute the driving maneuver within the temporal execution window, e.g., if a driving maneuver response is received before the expiration of the temporal execution window, and will otherwise cancel the driving maneuver.

Embodiments of the present disclosure relates to dynamic virtual platoon. According to embodiments of the present disclosure, a first device receives driving information from vehicles and forwards the driving information to a network device. The second device determines the vehicle platoon based on the driving information and transmits the information related to the vehicle platoon to the first device. The first device determines control information to remotely drive the vehicles. In this way, the coverage of the vehicle platoon is increased and a dynamic platoon is formed. The first device controls the driving of the vehicles instead of the head vehicle, which reduces burden on the head vehicle.

Among other things, techniques are described for forecasting occupancy of a vehicle location. This includes receiving, by at least one processor, status information of a parking location the status information representing an availability of the parking location; predicting, by the at least one processor, a future status of the parking location based on the received status information; determining, by the at least one processor, a destination based on the predicted future status of the parking location; and providing, by the at least one processor, the predicted future status to a controller of a vehicle for controlling the vehicle to drive to the destination.