A modular control system for controlling an AGV includes an interface, a processor, a memory, and a plurality of programs. The plurality of programs include a task scheduling module, a sensor fusion module, a mapping module, and a localization module. The interface receives a command signal from an AGV management system and sensor signals from a plurality of sensors. The memory stores a surrounding map and the plurality of programs to be executed by the processor. The task scheduling module converts the command signal to generate an enabling signal. The sensor fusion module processes the received sensor signals according to the enabling signal and generates an organized sensor data. The mapping module processes the organized sensor data and the surrounding map to generate an updated surrounding map. The localization module processes the organized sensor data and the updated surrounding map to generate a location and pose signal.

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.

An equipment inspection system receives data captured by a sensor of an autonomous vehicle (AV). The captured data describes a current state of equipment for servicing the AV. The equipment inspection system compares the captured data to a model describing an expected state of the equipment. The equipment inspection system determines, based on the comparison, that the equipment differs from the expected state. The equipment inspection system may transmit data describing the current state of the equipment to an equipment manager. The equipment manager may schedule maintenance for the equipment based on the current state of the equipment.

A method of operating a deicing system remotely, including connecting a control for the deicing system with the deicing system. When the control and the deicing system are connected, the method includes providing functionality for controlling operation of the deicing system, including control of application rates, and managing workflow and operation including job tracking.

A management system for a micro mobility vehicle, includes a service vehicle which is configured to travel along a movement path, wherein the service vehicle includes an accommodation slot for accommodating the micro mobility vehicle, and is configured for exchanging power with the micro mobility vehicle when the micro mobility vehicle is accommodated in the accommodation slot; and a management server configured to communicate with the micro mobility vehicle and the service vehicle to determine a location and a charging amount of the micro mobility vehicle and configured to manage charging and arrangement of the micro mobility vehicle by guiding the service vehicle to allow the micro mobility vehicle to be accommodated in the service vehicle or withdraw the micro mobility vehicle from the service vehicle.

Technologies for managing a world model of a monitored area includes a roadway server configured to receive LIDAR sensing data from a LIDAR sensing system positioned to monitor the monitored area and generate a world map of the monitored area based on the LIDAR sensing data. The world model includes data that identifies objects located in the monitored area. The roadway server may distribute the world model to automated vehicles traveling through the monitored area via a stream or in response to directed requests. The roadway server may also receive sensor data from the automated vehicles, which may be used to generate the world model. The roadway server may distribute the world model to other interested devices located in or near the monitored area.

Provided are an autonomous running device, a running control method for the autonomous running device, and a running control program of the autonomous running device that allow the autonomous running device to reach a destination while continuing estimation of its self-position. An autonomous running device includes a first position estimation unit that estimates the position of the autonomous running device on the basis of information about surroundings of the autonomous running device, produces information about the estimated position of the autonomous running device as first positional information, and updates the first positional information, a second position estimation unit that estimates the position of the autonomous running device on the basis of rotation amounts of wheels, produces information about the estimated position of the autonomous running device as second positional information, and updates the second positional information, and a control unit.

There is provided a method for controlling an autonomous vehicle using preset area information, the method being performed by a computing apparatus and being a method for controlling the speed of an autonomous vehicle autonomously traveling along a preset travel path, the method including: determining whether the vehicle is located in a preset first area based on the location information of the vehicle; obtaining information about a preset second area corresponding to the first area; obtaining a condition for the second area; and determining a vehicle control command based on the condition for the second area and information collected from the second area.

Described herein are various technologies pertaining to selecting an autonomous vehicle for a trip of a passenger based on a passenger cargo reservation request and real time load data from a fleet of autonomous vehicles. The passenger cargo reservation request specifies a request to store passenger cargo in a cargo storage area of an autonomous vehicle during a ride of a passenger in the autonomous vehicle. Further, an autonomous vehicle from the fleet of autonomous vehicles can be selected for the trip of the passenger based on the passenger cargo reservation request and the real time load data for the autonomous vehicles in the fleet of autonomous vehicles.

An example system includes a plurality of processor modules. Each of the plurality of processor modules is communicatively couplable to an autonomous system of a plurality of autonomous systems. Each of the processor modules includes an autonomous software defined network (A-SDN) data-plane communications controller. The system further includes a portable network controller including an A-SDN control-plane communications controller.