Abstract: An example method for assisting autonomous vehicle (AV) riders reach their destination after drop-off can include navigating the AV to a drop-off location associated with a user in the AV, receiving sensor data from sensors associated with the AV, determining, based on the sensor data, an orientation of the user in the AV and a location of the AV relative to a final destination of the user, generating a recommendation for how to exit the AV at the drop-off location based on the orientation of the user in the AV and the location of the AV relative to the final destination of the user, and providing the recommendation via a display, a speaker, a light-emitting device, and/or a client device, the recommendation including a visual indication of an exit direction or an AV door to use to exit the AV, audio instructions for exiting the AV, and/or visual exit instructions.

Abstract: An example method for assisting autonomous vehicle (AV) riders reach their destination after drop-off can include navigating the AV to a drop-off location associated with a user in the AV, receiving sensor data from sensors associated with the AV, determining, based on the sensor data, an orientation of the user in the AV and a location of the AV relative to a final destination of the user, generating a recommendation for how to exit the AV at the drop-off location based on the orientation of the user in the AV and the location of the AV relative to the final destination of the user, and providing the recommendation via a display, a speaker, a light-emitting device, and/or a client device, the recommendation including a visual indication of an exit direction or an AV door to use to exit the AV, audio instructions for exiting the AV, and/or visual exit instructions.

Abstract: An example method for assisting autonomous vehicle (AV) riders reach their destination after drop-off can include navigating the AV to a drop-off location associated with a user in the AV, receiving sensor data from sensors associated with the AV, determining, based on the sensor data, an orientation of the user in the AV and a location of the AV relative to a final destination of the user, generating a recommendation for how to exit the AV at the drop-off location based on the orientation of the user in the AV and the location of the AV relative to the final destination of the user, and providing the recommendation via a display, a speaker, a light-emitting device, and/or a client device, the recommendation including a visual indication of an exit direction or an AV door to use to exit the AV, audio instructions for exiting the AV, and/or visual exit instructions.

Abstract: An example method for assisting autonomous vehicle (AV) riders reach their destination after drop-off can include receiving, by an autonomous vehicle (AV), a ride service request from a user, the ride service request specifying a pick-up location, a pick-up time, and a destination of a trip associated with the ride service request; navigating the AV to the pick-up location; providing the user a recommendation for where to sit within the AV, the recommendation being based on at least one of the destination of the trip, a drop-off location associated with the trip, environment conditions associated with the drop-off location, and an estimated egress location; receiving sensor data from one or more sensors associated with the AV; determining, based on the sensor data and the drop-off location, a pull-over location for dropping off the user; and navigating the AV to the pull-over location.

Abstract: To visualize planned behavior of an autonomous vehicle (AV) traveling along a roadway, a user interface engine receives data describing a planned pathway of the AV along the roadway and object data describing an object having a predicted pathway crossing the planned pathway of the AV at a cross point. The user interface engine classifies the object either an asserting object or a yielding object based on a prediction of whether the object reaches the cross point before the AV or after the AV. The user interface engine generates an image that includes the planned pathway of the AV and the object in the environment of the AV. The image of the object indicates whether the object is classified as an asserting object or a yielding object.

Abstract: An example method for assisting autonomous vehicle (AV) riders reach their destination after drop-off can include navigating the AV to a drop-off location associated with a user in the AV, receiving sensor data from sensors associated with the AV, determining, based on the sensor data, an orientation of the user in the AV and a location of the AV relative to a final destination of the user, generating a recommendation for how to exit the AV at the drop-off location based on the orientation of the user in the AV and the location of the AV relative to the final destination of the user, and providing the recommendation via a display, a speaker, a light-emitting device, and/or a client device, the recommendation including a visual indication of an exit direction or an AV door to use to exit the AV, audio instructions for exiting the AV, and/or visual exit instructions.

Abstract: An example method for assisting autonomous vehicle (AV) riders reach their destination after drop-off can include receiving, by an autonomous vehicle (AV), a ride service request from a user, the ride service request specifying a pick-up location, a pick-up time, and a destination of a trip associated with the ride service request; navigating the AV to the pick-up location; providing the user a recommendation for where to sit within the AV, the recommendation being based on at least one of the destination of the trip, a drop-off location associated with the trip, environment conditions associated with the drop-off location, and an estimated egress location; receiving sensor data from one or more sensors associated with the AV; determining, based on the sensor data and the drop-off location, a pull-over location for dropping off the user; and navigating the AV to the pull-over location.