A remotely operated vehicle for moving on a rail system includes a first set of wheels, a second set of wheels, a wheel displacement assembly, and a wheel drive assembly. The rail system includes a first set of parallel rails and a second set of parallel rails arranged perpendicular to the first set of rails. The first set of wheels includes a first pair of wheels and a second pair of wheels, the first and second pairs of wheels arranged on opposite sides of a vehicle frame, allowing movement of the vehicle along a first direction on the rail system during use. The second set of wheels includes a third pair of wheels and a fourth pair of wheels, the third and fourth pairs of wheels arranged on opposite sides of the vehicle frame, allowing movement of the vehicle along a second direction on the rail system during use. The second direction is perpendicular to the first direction. The wheel displacement assembly is mounted to the vehicle frame and arranged to move the second set of wheels in a vertical direction relative to the vehicle frame between a first position. The first set of wheels allows movement of the vehicle along the first direction, and a second position. The second set of wheels allows movement of the vehicle along the second direction. The wheel drive assembly includes a first motor, a drive band, and a band drive wheel. The first motor is operatively connected to rotate the band drive wheel. The drive band interconnects the band drive wheel and the third pair of wheels. The third pair of wheels and the first motor are mounted to a cross-plate which extends horizontally and is arranged to move vertically as part of the wheel displacement assembly. The third pair of wheels and the band drive wheel are attached to the cross-plate such that the cross-plate supports the third pair of wheels and the band drive wheel are in a fixed spatial configuration where each wheel of the third pair of wheels is located at an end portion of the cross-plate and the band drive wheel is positioned at a central portion of the cross-plate.

A remote driving taxi system provides a mobility service using remote driving taxis that are driven by remote drivers. Management information indicates assignment states between the remote driving taxis and the remote drivers. The remote driving taxi system executes an assignment process based on the management information, in response to a request from a user. Specifically, the remote driving taxi system selects one of unassigned taxis to each of which the remote driver has not been assigned, as a first remote driving taxi that provides the service to the user. Further, the remote driving taxi system selects one of remote drivers each of which has not been assigned to the remote driving taxi, as a first remote driver that provides the service to the user. Then, the remote driving taxi system assigns the first remote driver to the first remote driving taxi.

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.

Disclosed are a device and a method of controlling a remote parking assist function capable of determining in advance whether to enter, adjustment, or cancel the remote parking assist function using direct or indirect environment information. The device for controlling a remote parking assist function may collect direct and indirect environment information on a location where a vehicle is to be parked from a surrounding-environment information source, analyze the collected information, and cause activation of at least one of an entry control function, an adjustment control function, or a cancellation control function.

Various technologies described herein pertain to routing autonomous vehicles based upon spatiotemporal factors. A computing system receives an origin location and a destination location of an autonomous vehicle. The computing system identifies a route for the autonomous vehicle to follow from the origin location to the destination location based upon output of a spatiotemporal statistical model. The spatiotemporal statistical model is generated based upon historical data from autonomous vehicles when the autonomous vehicles undergo operation-influencing events. The spatiotemporal statistical model takes, as input, a location, a time, and a direction of travel of the autonomous vehicle. The spatiotemporal statistical model outputs a score that is indicative of a likelihood that the autonomous vehicle will undergo an operation-influencing event due to the autonomous vehicle encountering a spatiotemporal factor along a candidate route. The autonomous vehicle then follows the route from the origin location to the destination location.

An information processing device includes a controller. The controller is configured to generate, when information related to a request to use a cabin unit is acquired from a terminal of a first user who intends an activity in the cabin unit rather than traveling by the cabin unit, a command for causing a traveling unit to pick up the first user. The traveling unit is connected to and carrying a predetermined cabin unit associated with the activity of the first user. The controller is configured to generate, to the traveling unit connected to the predetermined cabin unit where a predetermined number of the first users or more is riding, a command for placing the predetermined cabin unit at a predetermined location.

A thermal regulation system includes a sensor, one or more temperature adjusting devices, and a filler provided in a space between the sensor and at least one of the one or more temperature adjusting devices. The one or more temperature adjusting devices are (1) in thermal communication with the sensor, and (2) configured to adjust a temperature of the sensor from an initial temperature to a predetermined temperature at a rate of temperature change that meets or exceeds a threshold value.

Systems and methods are disclosed for determining, and displaying, the regulatory compliance status of a motorized vehicle, a driver of a motorized vehicle, or a non-vehicle machine. An authorized agent, such as a law enforcement officer, can perform a remotely-initiated safe stop of a motorized vehicle to prevent a high-speed chase. A system management center can receive, store, and transmit regulatory compliance records indicating the regulatory compliance status of drivers, motorized vehicles, and non-vehicle machines. A motorized vehicle can detect, and report, a driver “tail-gating” the motorized vehicle. The regulatory compliance history of drivers, motorized vehicles, and non-vehicle machines can be queried by authorized users.

In a vehicle remote instruction system, a remote commander issues a remote instruction relating to travel of an autonomous driving vehicle based on sensor information from an external sensor that detects an external environment of the autonomous driving vehicle. The vehicle remote instruction system sets a range of information to be transmitted to the remote commander among the sensor information detected by the external sensor, as a limited information range, based on the external situation or an external situation obtained based on map information and a trajectory of the autonomous driving vehicle.

Implementations are directed to assigning corresponding semantic identifiers to a plurality of rows of an agricultural field, generating a local mapping of the agricultural field that includes the plurality of rows of the agricultural field, and subsequently utilizing the local mapping in performance of one or more agricultural operations. In some implementations, the local mapping can be generated based on overhead vision data that captures at least a portion of the agricultural field. In these implementations, the local mapping can be generated based on GPS data associated with the portion of the agricultural field captured in the overhead vision data. In other implementations, the local mapping can be generated based on driving data generated during an episode of locomotion of a vehicle through the agricultural field. In these implementations, the local mapping can be generated based on GPS data associated with the vehicle traversing through the agricultural field.