Abstract: Systems and techniques are provided for a decentralized private service network for autonomous vehicles (AVs). An example method can include receiving a request to register a user premises as a private service station that AVs can use to receive maintenance, the request specifying an availability of the user premises for use to receive maintenance; in response to the request, adding the user premises to a network of service stations including a plurality of user premises registered as private service stations for use by the AVs to receive maintenance and AV service facilities operated by a commercial business/businesses; determining a distance between an AV and the user premises; and determining whether to schedule a battery of the AV to be charged at the user premises based on a charge level of the battery, the specified availability of the user premises, and the distance between the AV and the user premises.

Abstract: The present technology pertains to utilizing an autonomous transportation service to deliver items offered for sale in a peer-to-peer marketplace. The peer-to-peer marketplace can include an integration that will offer autonomous transportation and direct a buyer and seller to enter locations for pick-up and drop-off, respectively. The autonomous transportation system can transport the item from the seller to the buyer.

Abstract: Particular embodiments described herein provide for a vehicle assist drone. The vehicle assist drone can be operated in different modes. For example, the vehicle assist drone can be deployed in a user of an AV service assist mode, a clear occlusion mode, refined routing mode, a security mode, a search and rescue mode (e.g., search for missing child mode), or some other mode. In addition, the vehicle assist drone can be used to supplement a vehicle's sensors. For example, supplementary sensor data from the vehicle assist drone can be used in place of the vehicle's sensors or combined with sensor data from the onboard sensors of the vehicle to supplement the vehicle's sensors.

Abstract: The present technology provides solutions for optimizing rideshare services, and more specifically for improving user rideshare itineraries using ride experience data. A process of the disclosed technology can include steps for collecting ride experience data from one or more sensors of an autonomous vehicle for a portion of a carpool ride traveled while a user is in the autonomous vehicle, evaluating the biometric data derived from the user, and determining, from the biometric data, that a facial expression of the user indicates that the user was unhappy during at least a portion of the carpool ride. In some aspects, the process can further include determining an optimal itinerary for the user based on the facial expression of the user. Systems and machine-readable media are also provided.

Abstract: The subject disclosure provides techniques for enriching user reviews and providing improved user recommendations using data collected by autonomous vehicles (AVs). In some aspects, a process of the disclosed technology includes steps for receiving a ride request wherein the ride request specifies a pick-up location associated with a user identifier (ID), navigating an autonomous vehicle to the pick-up location to provide ride service for a user associated with the user ID, and receiving review information from the user, wherein the review information relates to a product or service consumed by the user. In some aspects, the process can also include steps for associating the review information with the user ID, and enriching the review information using trip information associated with the user ID. Systems and computer-readable media are also provided.

Abstract: Systems, methods, and computer-readable media are provided for detecting whether an object is approaching an autonomous vehicle when a passenger is about to exit the autonomous vehicle, determining a speed and type of the object that is approaching the autonomous vehicle, determining whether the object will enter an exit zone when the passenger enters the exit zone based on the speed and the type of the object that is approaching the autonomous vehicle, and preventing the passenger from exiting the autonomous vehicle based on the determining of whether the object will enter the exit zone when the passenger enters the exit zone.

Abstract: The present technology pertains to providing an improved user experience for user accounts taking group rideshare rides. In some aspects of the present technology, a rideshare service can use ride experience data relating to a group rideshare ride experience by a user account to determine that a user associated with the user account might have reason to be dissatisfied with the group rideshare ride, and can compensate the user account. In some aspects of the present technology, a rideshare service can proactively suggest a group rideshare itinerary to a user account when the group itinerary matches a previous itinerary arranged by the user account, and the suggested group rideshare itinerary can be offered at a preferred charge. In some aspects of the present technology, a rideshare service can permit a user account to create an organized carpool ride with other invited user accounts.

Abstract: A fleet management system implements a rewards-based feedback system to receive feedback from users of a rideshare service that provides rides using autonomous vehicles (AVs). The fleet management system maintains user accounts associated with each user and provides reward points to each user account. When the user is riding in an AV, the user can access a user interface to select a portion of the reward points and reward them to the AV. The fleet management system may analyze the point rewards to identify individual user preferences, to identify preferences across users, or to identify AVs for maintenance or other types of modification.

Abstract: A fleet management system implements a rewards-based feedback system to receive feedback from users of a rideshare service that provides rides using autonomous vehicles (AVs). The fleet management system maintains user accounts associated with each user and provides reward points to each user account. When the user is riding in an AV, the user can access a user interface to select a portion of the reward points and reward them to the AV. The fleet management system may analyze the point rewards to identify individual user preferences, to identify preferences across users, or to identify AVs for maintenance or other types of modification.

Abstract: Systems, methods, and computer-readable media are provided for detecting whether an object is approaching an autonomous vehicle when a passenger is about to exit the autonomous vehicle, determining a speed and type of the object that is approaching the autonomous vehicle, determining whether the object will enter an exit zone when the passenger enters the exit zone based on the speed and the type of the object that is approaching the autonomous vehicle, and preventing the passenger from exiting the autonomous vehicle based on the determining of whether the object will enter the exit zone when the passenger enters the exit zone.

Abstract: Collaborative perception is based on recognition that a fleet of AVs and stationary infrastructure objects equipped with sensors may be configured to communicate with one another in sharing their sensor data, thus benefiting from collaborative perception, rather than being limited to their individual perception. Three specific scenarios of collaborative perception are disclosed. The first scenario relates to two AVs in the vicinity of one another exchanging complexity scores indicative of their respective environments. The second scenario relates to an AV detecting that it has a blind spot and seeking other AVs or infrastructure objects to provide information indicative of the environment in the blind spot. The third scenario relates to providing infrastructure objects equipped with sensors in appropriate locations so that, when an AV is in the vicinity of such objects, the AV may receive information from their sensors.

Abstract: Systems, methods, and computer-readable media are provided for detecting whether an object is approaching an autonomous vehicle when a passenger is about to exit the autonomous vehicle, determining a speed and type of the object that is approaching the autonomous vehicle, determining whether the object will enter an exit zone when the passenger enters the exit zone based on the speed and the type of the object that is approaching the autonomous vehicle, and preventing the passenger from exiting the autonomous vehicle based on the determining of whether the object will enter the exit zone when the passenger enters the exit zone.

Abstract: Collaborative perception is based on recognition that a fleet of AVs and stationary infrastructure objects equipped with sensors may be configured to communicate with one another in sharing their sensor data, thus benefiting from collaborative perception, rather than being limited to their individual perception. Three specific scenarios of collaborative perception are disclosed. The first scenario relates to two AVs in the vicinity of one another exchanging complexity scores indicative of their respective environments. The second scenario relates to an AV detecting that it has a blind spot and seeking other AVs or infrastructure objects to provide information indicative of the environment in the blind spot. The third scenario relates to providing infrastructure objects equipped with sensors in appropriate locations so that, when an AV is in the vicinity of such objects, the AV may receive information from their sensors.

Abstract: A fleet management system implements a rewards-based feedback system to receive feedback from users of a rideshare service that provides rides using autonomous vehicles (AVs). The fleet management system maintains user accounts associated with each user and provides reward points to each user account. When the user is riding in an AV, the user can access a user interface to select a portion of the reward points and reward them to the AV. The fleet management system may analyze the point rewards to identify individual user preferences, to identify preferences across users, or to identify AVs for maintenance or other types of modification.

Abstract: Systems, methods, and computer-readable media are provided for detecting whether an object is approaching an autonomous vehicle when a passenger is about to exit the autonomous vehicle, determining a speed and type of the object that is approaching the autonomous vehicle, determining whether the object will enter an exit zone when the passenger enters the exit zone based on the speed and the type of the object that is approaching the autonomous vehicle, and preventing the passenger from exiting the autonomous vehicle based on the determining of whether the object will enter the exit zone when the passenger enters the exit zone.

Abstract: Collaborative perception is based on recognition that a fleet of AVs and stationary infrastructure objects equipped with sensors may be configured to communicate with one another in sharing their sensor data, thus benefiting from collaborative perception, rather than being limited to their individual perception. Three specific scenarios of collaborative perception are disclosed. The first scenario relates to two AVs in the vicinity of one another exchanging complexity scores indicative of their respective environments. The second scenario relates to an AV detecting that it has a blind spot and seeking other AVs or infrastructure objects to provide information indicative of the environment in the blind spot. The third scenario relates to providing infrastructure objects equipped with sensors in appropriate locations so that, when an AV is in the vicinity of such objects, the AV may receive information from their sensors.