Abstract: Aspects of the disclosure provide for generating and using a model for identifying a plurality of pick up or drop off locations for a large venue point of interest. For instance, a large venue point of interest may be identified. The plurality may be identified for the large venue point of interest based on a combination of historical trip data and map information. The plurality may be associated with the large venue point of interest. The association may be stored in memory for later use. Thereafter, a request for a trip identifying the large venue point of interest may be received from a client computing device, and the plurality may be provided to the client computing device in response to the request. A pickup and drop off location of the plurality may be provided to an autonomous vehicle in order to cause the autonomous vehicle to transport a passenger to the pickup or drop off location.

Abstract: The technology employs spatial audio information to enhance wayfinding for pickup, drop-off and in-vehicle situations. The spatial information has a directional component, and a sense of distance can also be incorporated into the audio information. Audio cues or other spatial information is provided via headphones worn by a user. The spatial audio gives the user direction information, which can help locate the vehicle. In addition, this approach can be used when the rider is in the vehicle prior to exiting. For instance, spatial audio can be provided to the rider to give them contextual information about the environment outside the vehicle prior to exiting, such as whether a bicyclist is approaching on the side they will be exiting. This contextual information can alert the rider to wait or otherwise be more situationally aware when departing the vehicle.