In accordance with an embodiment, a neural network is configured to: process a first grid representing at least a first portion of a field of view of a first sensor; process a second grid representing at least a second portion of a field of view of a second sensor; and fuse the processed first grid with the processed second grid into a fused grid, where the fused grid includes information about the occupancy of the first portion of the field of view of the first sensor and the occupancy of the second portion of the field of view of the second sensor.

An automated drive device that automatically stops a vehicle in a pick-up and drop-off area in which a passenger gets and off the vehicle includes at least one processor and at least one memory that stores a program and information to be read by the at least one processor. The processor is configured to acquire the type of the passenger before the vehicle reaches the pick-up and drop-off area as a first process. The processor is configured to change a behavior for stopping the vehicle in the pick-up and drop-off area in accordance with the type of the passenger as a second process.

A method is described and includes acquiring sensor data produced by sensors of a plurality of vehicles traversing an area including a location of a user, wherein the vehicles traversing the area comprise a subset of a fleet of vehicles for providing rideshare services; processing the acquired sensor data to determine a category of the user; selecting a vehicle from the fleet of vehicles based on the category of the user, wherein the selected vehicle comprises at least one accommodation corresponding to the category of the user; and dispatching the selected vehicle to a pick-up location designated by the user.

An example operation includes determining, by a vehicle, that a first occupant has exited the vehicle at a first location and has relocated to a second location; detecting, by the vehicle, a level of seriousness of an event related to the vehicle; sending a first notification of the event, by the vehicle, to a device associated with the first occupant, based on the first location and the level of seriousness; and, responsive to the device not responding to the first notification, sending a second notification to a server associated with an entity at the second location.

An example operation includes detecting, by a vehicle, a location of a first potential passenger proximate to a road; determining, by the vehicle, a first road safety level of a pick-up for the first potential passenger; denying, by the vehicle, the pick-up for the first potential passenger when the determined first road safety level is below a threshold; determining, by the vehicle, a second road safety level of a pick-up for a second potential passenger; and picking up, by the vehicle, the second potential passenger, when the second road safety level is above the threshold.

A control method for an autonomous driving vehicle is provided. The control method comprises steps of: determining whether trigger information is received; when the trigger information is received and the autonomous driving vehicle has been located at a predetermined location at current moment, obtaining an arrival time required for a predetermined target to reach the predetermined location, the predetermined location is a preset connection location; determining whether the arrival time is greater than a preset value; when the arrival time is greater than the preset value, controlling the autonomous driving vehicle to drive to a parking area; and when the arrival time is not greater than the preset value, controlling the autonomous driving vehicle to drive according to preset rules. Furthermore, a computer device is also provided.

A control unit of a server device as an information processing apparatus is configured to: provide first information on a service for each of a plurality of moving objects, each of which is configured to provide a different service and autonomous travel; acquire second information on time and location of at least one service that a user wants to use; and determine at least one moving object that matches with the user based on the first information and the second information, and generate a travel plan of the at least one moving object.

A vehicle control device includes a recognizer configured to recognize at least a surroundings situation and an in-vehicle situation of a vehicle, and a driving controller configured to perform at least one of speed control and steering control of the vehicle on the basis of a recognition result of the recognizer, the recognizer is configured to recognize an object to be loaded including at least any one of an occupant candidate present outside the vehicle and scheduled to board the vehicle and a baggage candidate present outside the vehicle and scheduled to be loaded into the vehicle, and to recognize that the object to be loaded has been loaded into the vehicle, and the driving controller is configured to permit start of travel of the vehicle in a case where the recognizer has recognized that all of the objects to be loaded have been loaded into the vehicle.

A vehicle control device includes a detector configured to detect a vicinity situation of a vehicle, a first controller configured to cause the vehicle to move to a position at which a user of the vehicle gets on or gets off the vehicle by controlling a speed and steering of the vehicle on the basis of the vicinity situation detected by the detector, and a second controller configured to reduce a detection load of the detector when the vehicle moves to the position as compared to when the vehicle does not move to the position.

A system, the system including one or more sensors arranged to detect an area in a proximity of a vehicle and a controller communicatively coupled to the one or more sensors. The controller is configured to determine that an ignition switch of the vehicle is turned off, determine that a user within the proximity of the vehicle based on data from the one or more sensors, determine that an object is approaching the vehicle based on the data, and alert the user of the object.