A system included and a computer-implemented method performed in an autonomous-driving vehicle are described. The system performs: receive a request to meet a person at a location; drive the vehicle to the location; identify the person at the location; and providing an instruction for the person to interact with the vehicle.

A method and an apparatus of controlling a driverless vehicle and an electronic device are provided, and relates to the field of artificial intelligence technologies, such as computer vision and self-driving. The method includes: in a case that a stop instruction is received or a driverless vehicle arrives at a preset position, acquiring a first road surface image captured by a camera of the driverless vehicle that is on a same side of a door of the driverless vehicle; acquiring, based on the first road surface image, a target road surface state of road surface on one or two sides of the driverless vehicle that are provided with a door; in a case that the target road surface state is a first road surface state, controlling the driverless vehicle to stop.

Aspects of the disclosure relate to parking behaviors and maneuvering a vehicle in an autonomous driving mode accordingly. For instance, a pullover location for the vehicle to stop and wait for a passenger may be identified. The vehicle may be maneuvered in the autonomous driving mode in order to pull over by pulling forward into the pullover location. Whether to maneuver the vehicle in reverse in the pullover location before or after the passenger enters the vehicle may be determined based on context for the pull over with respect to the passenger. The vehicle may be maneuvered in the autonomous driving mode in reverse based on the determination of whether to maneuver the vehicle in reverse in the pullover location before or after the passenger enters the vehicle.

A method of automated medical scheduling of an autonomous vehicle to pick up a patient including the steps of receiving data on a processor via a checklist, said data being a plurality of predetermined physical conditions of a patient, each of the plurality of predetermined physical conditions having a predetermined assigned weight based on level of severity, generating a summation of the total weight for each predetermined physical condition, generating a predetermined specialty acuity score by comparing the corresponding range of the total weight and generating a report to output of the specialty acuity score, the specialty acuity score used to determine priority of scheduling patients in a system. A specialty acuity score may be generated for each system affected, the systems each assigned a value of 1. A comorbidity score may be generated by the summation of each system.

A method for operating an autonomously operable motor vehicle comprising: receiving location data relating to a planned location of a motor vehicle; determining whether the motor vehicle is authorized to approach the planned location according to the location data by using at least one of the following: a) personal data about at least one person using the motor vehicle; b) a number of persons using the motor vehicle; c) load data about a load that is being or is to be transported by the motor vehicle.

A method for providing temporary access to a vehicle includes receiving a vehicle access request at a vehicle, transporting the vehicle from a storage space to a user originating the vehicle access request using the at least one of the semi-autonomous mode and the fully autonomous mode, providing the user access to the vehicle via a smartlock system, and transporting the vehicle from the user to the storage space subsequent to the user's access. The vehicle includes a controller configured to operate the vehicle in at least one of a semi-autonomous mode and a fully autonomous mode.

The present disclosure provides a method comprising receiving a rideshare request from a user, the rideshare request including a destination; transporting the passenger to the destination using an autonomous vehicle (AV) having a plurality of windows comprising electrically switchable smart glass; during the transporting, monitoring a metric related to arrival of the AV at the destination; and untinting the windows when the monitored metric has a prescribed relationship to a threshold value.

A fleet management system coordinates multiple autonomous vehicles (AVs) to transport a group of passengers from one location to another. A single user can submit a request to the fleet management system to provide a ride for the group, the request specifying the number of passengers and the pickup location. The fleet management system determines a number of AVs to transport the group based on the number passengers, and dispatches this number of AVs to the pickup location. The AVs pick up the passengers at the pickup location, drive the passengers to a destination, and drop the passengers off at the destination.

A mobile body control device adjusts a stop position of the mobile body based on an instruction of a user. The device acquires instruction information for designating a predetermined target and acquires a captured image captured in the mobile body. The device determines a position of the predetermined target from the mobile body as a stop position based on a region of the predetermined target identified in the captured image and control traveling of the mobile body toward the determined stop position. In a case where the predetermined target is not identified in the captured image while the mobile body is traveling toward the stop position, the device updates the stop position determined with respect to the predetermined target according to a motion of the mobile body to control the traveling of the mobile body to the stop position.

The present disclosure provides a method comprising detecting an event in connection with an autonomous vehicle, wherein the detected event comprises at least one of a current state of the autonomous vehicle, an impending state of the autonomous vehicle, and an intent of the autonomous vehicle; generating an image in connection with the detected event, wherein the image comprises at least one of text information and graphics information; and displaying the generated image on at least one window of the autonomous vehicle for conveying information about the detected event to at least one user located outside the autonomous vehicle.