Communications for autonomous vehicles
Aspects of the disclosure provide a method of facilitating communications from an autonomous vehicle to a user. For instance, a method may include, while attempting to pick up the user and prior to the user entering an vehicle, inputting a current location of the vehicle and map information into a model in order to identify a type of communication action for communicating a location of the vehicle to the user; enabling a first communication based on the type of the communication action; determining whether the user has responded to the first communication from received sensor data; and enabling a second communication based on the determination of whether the user has responded to the communication.
1. A method of assisting a user to locate an autonomous vehicle at a pickup location, the method including:
driving, by one or more processors, the autonomous vehicle to a location in a vicinity of the user;
upon arriving at the location, inputting, by the one or more processors, the location of the vehicle and map information into a model;
identifying, using the model, a type of communication action for communicating the location of the vehicle to the user;
enabling, by the one or more processors, a first communication based on the type of the communication action;
after enabling the first communication, receiving, by the one or more processors, sensor data indicating movement of the user; and
taking further action, by the one or more processors, to provide assistance to the user in locating the autonomous vehicle based on the received sensor data.
2. The method of claim 1 , wherein the type of communication action is automatically generating an audible communication by the vehicle, and enabling the first communication includes instructing the vehicle to make the audible communication.
3. The method of claim 2 , wherein the first communication is honking a horn of the vehicle.
4. The method of claim 1 , wherein the type of communication action is automatically surfacing an option on a client computing device of the user to enable the user to cause the vehicle to generate an audible communication.
5. The method of claim 1 , wherein the type of communication action is automatically generating a visual communication by the vehicle, and enabling the first communication includes the vehicle making the visual communication.
6. The method of claim 5 , wherein the first communication is flashing a headlight of the vehicle.
7. The method of claim 1 , wherein the type of communication action is automatically surfacing an option on a client computing device of the user to enable the user to cause the vehicle to generate a visual communication.
8. The method of claim 1 , wherein the received sensor data includes location information generated by a client computing device of the user.
9. The method of claim 1 , wherein the received sensor data includes data generated by a perception system of the vehicle, the perception system including at least one sensor.
10. The method of claim 1 , further comprising:
using a model of escalated communication to determine a type of communication action for a second communication; and
enabling, by the one or more processors, a second communication based on the received sensor data,
wherein the type of communication action for the second communication is further used to enable the second communication.
11. The method of claim 10 , wherein the type of communication action for the second communication is automatically surfacing an option on a client computing device of the user to enable the user to cause the vehicle to generate an audible communication.
12. The method of claim 10 , wherein the type of communication action for the second communication is automatically surfacing an option on a client computing device of the user to enable the user to cause the vehicle to generate a visual communication.
13. The method of claim 10 , wherein the first communication includes the vehicle automatically flashing its lights, and the second communication includes the vehicle automatically honking the vehicle's horn.
14. The method of claim 10 , wherein the first communication includes the vehicle automatically honking the vehicle's horn, and the second communication includes the vehicle automatically requesting a customer service representative to connect with a client computing device of the user.
15. The method of claim 1 , wherein the model is a machine learning model.
16. The method of claim 1 , further comprising determining a direction of movement of the user with respect to the vehicle based on the sensor data, and wherein taking further action includes the vehicle generating an audible communication based on the direction of movement.
17. The method of claim 1 , further comprising determining a direction of movement of the user with respect to the vehicle based on the sensor data, and wherein taking further action includes the vehicle generating a visual communication based on the direction of movement.
18. The method of claim 16 , wherein taking further action includes the vehicle automatically enabling communication between a remote customer service representative and the user in order to guide the user toward the vehicle.
19. The method of claim 1 , wherein the sensor data identifies different types of audible communications generated by the vehicle in response to the vehicle's environment.
20. The method of claim 1 , wherein the different types of audible communications include honking a horn of the vehicle.