Abstract: An autonomous vehicle notification system, method, and a computer program product. One or more travel trajectories associated with at least one of a vehicle and at least one object present in an environment of the vehicle are determined. A presence of at least one event occurring in the environment of the vehicle is detected. A determination is made that the detected event meets a notification threshold. At least one notification in a plurality of notifications for presentation using at least one user interface component of the vehicle is generated. The notification corresponds to the detected event. The generated notification is selectively presented using the user interface component.

Abstract: The disclosed embodiments generally provide visual and/or audio cues to a user to guide the user to a vehicle pickup-drop-off (PuDo) location, such as an autonomous vehicle (AV) PuDo. The user’s current location is determined based on information from the user’s mobile device. A path is determined from the user’s current location to the designated PuDo location, and instructions (e.g., turn-by-turn directions) to reach the designated PuDo are displayed on the user’s mobile device, for example, using an augmented reality (AR) interface on their mobile device that is updated in real-time. Disclosed embodiments also allow vehicles to authenticate the identity of a user before allowing entry of the user into the vehicle based on a sequence of hand gestures performed by the user that are detected by exterior sensors (e.g., camera, LiDAR) of the vehicle.

Abstract: Enclosed are embodiments of motion control operations in various traffic scenarios in consideration of the kinematic factor for trajectory planning. In some embodiments, a method includes: determining a danger rating for at least one object identified in an environment, wherein the danger rating represents a perceived risk associated with a respective object; evaluating a set of hierarchical factors with respect to a traffic scenario, wherein a metric is derived for trajectories of the traffic scenario that quantifies passenger ride comfort based on the danger rating and the set of hierarchical factors; determining a motion control operation in the traffic scenario to increase the passenger ride comfort based on the metric; and augmenting a route planner of an autonomous vehicle with motion control operations in different traffic scenarios to increase the passenger ride comfort.

Abstract: Among other things, techniques are described for a passenger support system. In an example, a reported number of passengers associated with on-demand mobility transportation services is obtained in response to passengers opting-in to a passenger support system. The reported number of passengers is compared with a vehicle detected number of passengers. In response to the reported number of passengers being unequal to the vehicle detected number of passengers, a remote customer assistant is enabled.