Abstract: Systems and techniques are provided for crowdsourcing image data depicting autonomous vehicles (AV) to determine user feedback about the AVs based on the image data. An example method can include obtaining a frame captured by a client device and shared by a user of the client device, wherein the frame depicts an AV in a scene where the frame was captured; identifying the AV depicted in the frame based at least in part on a content of the frame; determining, based at least in part on the frame, an issue experienced by the AV in the scene; and determining an action to take in response to at least one of the frame shared by the user and the issue experienced by the AV.

Abstract: Systems and methods for providing opportunities for interactions and communication between vehicles and passengers. In particular, a vehicle socialization platform is provided for facilitating a wide range of social and utilitarian exchanges between vehicles and their occupants, thus providing a community of interconnected vehicles. Vehicle interactions can include passive communication, including vehicles from a particular fleet acknowledging other fleet vehicles without intervention from a passenger or user. Vehicle interactions can include active communication, in which passengers are engaged with and have some control over vehicle communications through dedicated experiences provided in a ridehail application or on an in-vehicle tablet. In particular, some experiences can become dynamically available based on the fleet vehicle's proximity to another fleet vehicle.

Abstract: Systems and methods for providing opportunities for interactions and communication between vehicles and passengers. In particular, a vehicle socialization platform is provided for facilitating a wide range of social and utilitarian exchanges between vehicles and their occupants, thus providing a community of interconnected vehicles. Vehicle interactions can include passive communication, including vehicles from a particular fleet acknowledging other fleet vehicles without intervention from a passenger or user. Vehicle interactions can include active communication, in which passengers are engaged with and have some control over vehicle communications through dedicated experiences provided in a ridehail application or on an in-vehicle tablet. In particular, some experiences can become dynamically available based on the fleet vehicle's proximity to another fleet vehicle.

Abstract: An autonomous vehicle (AV) detects an animal in its vicinity, classifies the detected animal, and selects an action to take based on the classification. The action may be selected to deter the animal away from a roadway along which the AV is traveling, or for the AV to avoid a collision or other negative encounter with the animal. The AV determines whether to proceed along the roadway, e.g., if the action has caused the animal to leave the roadway. The animal classification may be used to determine whether or not to drop off or pick up a user at a particular location near an animal.