Provided is a vehicle management system including a plurality of vehicles that execute different functions, and an event information server that transmits event occurrence information. The vehicles execute the same function corresponding to the event occurrence information, when a priority of a function corresponding to the event occurrence information received from the event information server is higher than a priority of a function currently being executed.

A method for controlling a vehicle includes identifying a user identity associated with a user riding in the vehicle, determining a destination associated with the user identity, creating a detection zone proximate to the vehicle when the vehicle is localized in a first drop-off location associated with the destination, causing a sensory system to identify a hazard within the detection zone and generate a localization of the hazard, determining that a first probability of realizing a risk associated with the hazard is less than a first probability threshold, and generating a vehicle door actuation that permits the user to exit the vehicle based on the first probability of realizing the risk.

The present teachings relate to a device, system, and method for facial recognition and monitoring. The present teachings may relate to a method for recognizing and monitoring one or more users for an occurrence of a health event of the one or more users comprising: a) receiving incoming video data; b) preprocessing the video data; c) extracting facial data to identify one or more users; d) recognizing the presence, probability, and/or absence of the health event; e) generating one or more notifications or not generating based on the presence, probability, and/or absence of the health event; and f) optionally, enabling one or more safety protocols of a vehicle.

This document discloses methods of acquiring a 3D map of an area with multiple heights. The 3D map may include tiles, each of which provides ground height information for one or more of the plurality of levels. A grid corresponding to the 3D map is generated. The grid may divide each of the plurality of tiles into a plurality of cells, The grid may include: (a) a unique index assigned to each of the plurality of cells, in which the unique index is convertible to an index of a tile of the 3D map in which that cell is included, and (b) a plurality of gridlets associated with each of the plurality of cells, wherein a number of the plurality of gridlets associated with a cell is equal to a number of height levels represented by a tile of the 3D map in which that cell is included.

Vehicle navigation control systems in autonomous driving rely on accurate predictions of objects within the vicinity of the vehicle to appropriately control the vehicle safely through its surrounding environment. Accordingly this disclosure provides methods and devices which implement mechanisms for obtaining contextual variables of the vehicle's environment for use in determining the accuracy of predictions of objects within the vehicle's environment.

A vehicle controller device including: a communication section configured to receive operation information to operate a vehicle from an operation device located externally to the vehicle; a first memory; and a first processor, the first processor being configured to: acquire peripheral information regarding a periphery of the vehicle from a peripheral information detection section; generate a travel plan for the vehicle based on the peripheral information of the vehicle; control autonomous driving in which the vehicle travels based on the generated travel plan and also control remote driving in which the vehicle travels based on the received operation information; predict that a compromised state in which autonomous driving of the vehicle becomes compromised will arise based on environmental information including meteorological information received by the communication section; and notify the operation device of the compromised state in a case in which the compromised state has been predicted to arise.

Systems, apparatus and methods may be configured to implement actively-controlled light emission from a robotic vehicle. A light emitter(s) of the robotic vehicle may be configurable to indicate a direction of travel of the robotic vehicle and/or display information (e.g., a greeting, a notice, a message, a graphic, passenger/customer/client content, vehicle livery, customized livery) using one or more colors of emitted light (e.g., orange for a first direction and purple for a second direction), one or more sequences of emitted light (e.g., a moving image/graphic), or positions of light emitter(s) on the robotic vehicle (e.g., symmetrically positioned light emitters). The robotic vehicle may not have a front or a back (e.g., a trunk/a hood) and may be configured to travel bi-directionally, in a first direction or a second direction (e.g., opposite the first direction), with the direction of travel being indicated by one or more of the light emitters.

The techniques discussed herein may comprise an autonomous vehicle guidance system that generates a path for controlling an autonomous vehicle based at least in part on a static object map and/or one or more dynamic object maps. The guidance system may identify a path based at least in part on determining set of nodes and a cost map associated with the static and/or dynamic object, among other costs, pruning the set of nodes, and creating further nodes from the remaining nodes until a computational or other limit is reached. The path output by the techniques may be associated with a cheapest node of the sets of nodes that were generated.

A travel route generation device (4) includes a travel route acquisition unit (4) configured to acquire position information (Pc) about a travel route (H) for a moving object (M) to perform autonomous travel or remotely controlled travel, a surrounding environment information acquisition unit (22) configured to acquire surrounding environment information, a dangerous location detection unit (23) configured to detect dangerous locations (Pd1 to Pd3) where there is a risk of an accident from the surrounding environment information, and an information processing unit (24) configured to add dangerous location information including first information indicating the dangerous locations (Pd1 to Pd3) to the position information (Pc) corresponding to the dangerous locations (Pd1 to Pd3).

According to one aspect, a method includes identifying a condition relating to an impact on a vehicle by an object, the vehicle including at least one anchor mechanism, the at least one anchor mechanism configured to anchor the vehicle to a surface. The method also includes determining whether the condition indicates that the anchor mechanism is to be deployed, and deploying the anchor mechanism when it is determined that the condition indicates that the anchor mechanism is to be deployed.