The technology relates to actively looking for an assigned passenger prior to a vehicle 100 reaching a pickup location. For instance, information identifying the pickup location and client device information for authenticating the assigned passenger is received. Sensor data is received from a perception system of the vehicle identifying objects in an environment of the vehicle. When the vehicle is within a predetermined distance from the pickup location, authenticating a client device using the client device information is attempted. When the client device has been authenticated, the sensor data is used to determine whether a pedestrian is within a first threshold distance of the vehicle. When a pedestrian is determined to be within the first threshold distance of the vehicle, the vehicle is stopped prior to reaching the pickup location, to wait for the pedestrian within the first threshold distance of the vehicle to enter the vehicle.

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.

A navigational system for a host vehicle may comprise at least one processing device. The processing device may be programmed to receive a first output and a second output associated with the host vehicle; identify a representation of a target object in the first output; and determine whether a characteristic of the target object triggers a navigational constraint. If the navigational constraint is not triggered, the processing device may verify the identification of the representation of the target object based on a combination of the first output and the second output. If the navigational constraint is triggered, the processing device may verify the identification of the representation of the target object based on the first output; and in response to the verification, cause at least one navigational change to the host vehicle.

In one embodiment, a driving environment is perceived based on sensor data obtained from a variety of sensors, including determining a current speed of an ADV. In response to a request for driving with an idle speed, a speed guideline is generated based on an idle speed curve in view of the current speed of the ADV. A speed planning operation is performed by optimizing a cost function based on the speed guideline to determine the speeds of the trajectory points at different points in time along a trajectory planned to drive the ADV. One or more control commands are then generated to control the ADV with the planned speeds along the planned trajectory, such that the ADV moves according to an intended idle speed.

Systems and methods comprising onboarding a plurality of parties into an autonomous vehicle; displaying in the autonomous vehicle one or more authentication protocols; receiving an authentication confirmation from each of the plurality of parties in response to the one or more authentication protocols; and communicating an authentication confirmation status of the presence of the plurality of parties to a transportation vehicle functions (TVF) manager associated with the autonomous vehicle.

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.

An electronic apparatus and method for assisting with driving of a vehicle are provided. The electronic apparatus includes: a processor configured to execute one or more instructions stored in a memory, to: obtain a surrounding image of the vehicle via at least one sensor, recognize an object from the obtained surrounding image, obtain three-dimensional (3D) coordinate information for the object by using the at least one sensor, determine a number of planar regions constituting the object, based on the 3D coordinate information corresponding to the object, determine whether the object is a real object, based on the number of planar regions constituting the object, and control a driving operation of the vehicle based on a result of the determining whether the object is the real object.

A method, apparatus, and system for estimating a moving speed of a detected pedestrian at an autonomous driving vehicle (ADV) is disclosed. A pedestrian is detected in a plurality of frames of point clouds generated by a LIDAR device installed at an autonomous driving vehicle (ADV). In each of at least two of the plurality of frames of point clouds, a minimum bounding box enclosing points corresponding to the pedestrian excluding points corresponding to limbs of the pedestrian is generated. A moving speed of the pedestrian is estimated based at least in part on the minimum bounding boxes across the at least two of the plurality of frames of point clouds. A trajectory for the ADV is planned based at least on the moving speed of the pedestrian. Thereafter, control signals are generated to drive the ADV based on the planned trajectory.

Methods and systems for autonomous and semi-autonomous vehicle control, routing, and automatic feature adjustment are disclosed. Sensors associated with autonomous operation features may be utilized to search an area for missing persons, stolen vehicles, or similar persons or items of interest. Sensor data associated with the features may be automatically collected and analyzed to passively search for missing persons or vehicles without vehicle operator involvement. Search criteria may be determined by a remote server and communicated to a plurality of vehicles within a search area. In response to which, sensor data may be collected and analyzed by the vehicles. When sensor data generated by a vehicle matches the search criteria, the vehicle may communicate the information to the remote server.

A vehicle and control method include: a seat; an image acquirer to acquire an image of the seat; a first type of roof airbag module in a fixed position in a first area of a headlining; a rail member in a second area of the headlining in a left-right direction of a vehicle body; a second type of roof airbag module in the rail member and movable in left and right directions along the rail member; an angle detector to detect a rotation angle of the seat; and a controller. The controller identifies the seat rotation angle based on the image of the seat and controls activation of at least the first type of roof airbag module or the second type of roof airbag module based on at least the seat rotation angle based on the image of the seat or detected by the angle detector.