Abstract: Embodiments may relate to a vehicle comprising: a sensor to identify, based on an audio or visual condition, the occurrence of a condition related to a passenger of the vehicle. The vehicle may further include a processor coupled with the sensor. The processor may be configured to identify, in a user profile of the first passenger of the vehicle, a pre-identified action. The processor may further be configured to perform, or facilitate the performance of, the pre-identified action by the vehicle based on the occurrence of the audio or visual condition. Other embodiments may be described or claimed.

Abstract: Systems and methods for generating images from an autonomous vehicle ride. Systems and methods are provided for determining whether a vehicle route passes a photogenic location and, if so, capturing an image at the photogenic location. The user can be provided with an option to take a detour to a nearby photogenic location. Additionally, a route can be selected based on one or more photogenic locations along the route. Captured images are provided to the user.

Abstract: The present disclosure provides a method comprising receiving a ride request from a user having a user profile, the ride request including a requested drop-off location within a service area and the user profile specifying at least one drop-off location preference parameter; querying a database to obtain data regarding a condition of the requested drop-off location, wherein the data is collected by a plurality of vehicles traversing the service area and equipped with at least one sensor and at least one imaging device; determining whether the obtained data satisfies the at least one drop-off location preference parameter; and determining at least one alternative drop-off location within a first distance from the requested drop-off location if the obtained data does not satisfy the at least one drop-off location preference parameter.

Abstract: The present disclosure provides a method comprising receiving a ride request from a user having a user profile, the ride request including a requested drop-off location within a service area and the user profile specifying at least one drop-off location preference parameter; querying a database to obtain data regarding a condition of the requested drop-off location, wherein the data is collected by a plurality of vehicles traversing the service area and equipped with at least one sensor and at least one imaging device; determining whether the obtained data satisfies the at least one drop-off location preference parameter; and determining at least one alternative drop-off location within a first distance from the requested drop-off location if the obtained data does not satisfy the at least one drop-off location preference parameter.

Abstract: An engagement platform provides one or more engagement activities for users traveling in autonomous vehicles (AVs). An engagement activity may include a prompt (e.g., a conversation prompt or a game prompt) based on sensor data from sensors in the AV, such as interior or exterior cameras. The prompt may alternately or additionally be based on users' interests, e.g., interests determined based on users' ride history, including origin and destination locations, or interests determined based on prior engagement activities. Interior sensors may monitor users during the engagement activity, e.g., to determine whether to provide a new conversation prompt, or to determine a user's response to a game prompt.

Abstract: Architectures and techniques for assessing relative vehicle performance utilizing data gathered by monitoring other vehicles are disclosed. Operational information is gathered for a host platform and for at least one other platform that shares an operating environment with the host platform. Multiple evaluations are performed on the operational information for the host platform and on the operational information for at least one other platform. Host platform performance is evaluated based on results from the evaluations on the operational information from the host platform and on results from the operational information from at least one other platform. One or more operational parameters corresponding to the host platform are adjusted based on the evaluation.

Abstract: A system uses a fleet of AVs to assess visibility of target objects. Each AV has a camera for capturing images of target objects. AVs provide the captured images, or visibility data derived from the captured images, to a remote system, which aggregates visibility data describing images captured across the fleet of AVs. The AVs also provide condition data describing conditions under which the images were captured, and the remote system aggregates the condition data. The remote system processes the aggregated visibility data and condition data to determine conditions under which a target object does not meet a visibility threshold.

Abstract: A system uses a fleet of AVs to assess visibility of target objects. Each AV has a camera for capturing images of target objects. AVs provide the captured images, or visibility data derived from the captured images, to a remote system, which aggregates visibility data describing images captured across the fleet of AVs. The AVs also provide condition data describing conditions under which the images were captured, and the remote system aggregates the condition data. The remote system processes the aggregated visibility data and condition data to determine conditions under which a target object does not meet a visibility threshold.

Abstract: Systems and methods for generating images from an autonomous vehicle ride. Systems and methods are provided for determining whether a vehicle route passes a photogenic location and, if so, capturing an image at the photogenic location. The user can be provided with an option to take a detour to a nearby photogenic location. Additionally, a route can be selected based on one or more photogenic locations along the route. Captured images are provided to the user.

Abstract: Systems and methods for generating images from an autonomous vehicle ride. The images can include images from inside the vehicle and outside the vehicle, and can be used to create a highlight reel of the ride. The images can be captured automatically and include images of passengers during the ride. The highlight reel is provided to a user who can choose to share it with others.

Abstract: The present technology is effective to cause at least one processor to determine that a vehicle is within a threshold distance from a point of interest, determine details about the point of interest, and present the details about the point of interest. The vehicle may be characterized by having the ability to take any route to a destination requested by a passenger and to travel to the destination at any speed that is appropriate for road and traffic conditions. The details about the point of interest to present may be based upon a location and a speed of the vehicle.

Abstract: The present technology is effective to cause at least one processor to determine that a vehicle is within a threshold distance from a point of interest, determine details about the point of interest, and present the details about the point of interest. The vehicle may be characterized by having the ability to take any route to a destination requested by a passenger and to travel to the destination at any speed that is appropriate for road and traffic conditions. The details about the point of interest to present may be based upon a location and a speed of the vehicle.

Abstract: The present disclosure provides a method comprising receiving a ride request from a user having a user profile, the ride request including a requested drop-off location within a service area and the user profile specifying at least one drop-off location preference parameter; querying a database to obtain data regarding a condition of the requested drop-off location, wherein the data is collected by a plurality of vehicles traversing the service area and equipped with at least one sensor and at least one imaging device; determining whether the obtained data satisfies the at least one drop-off location preference parameter; and determining at least one alternative drop-off location within a first distance from the requested drop-off location if the obtained data does not satisfy the at least one drop-off location preference parameter.

Abstract: A system uses a fleet of AVs to assess visibility of target objects. Each AV has a camera for capturing images of target objects. AVs provide the captured images, or visibility data derived from the captured images, to a remote system, which aggregates visibility data describing images captured across the fleet of AVs. The AVs also provide condition data describing conditions under which the images were captured, and the remote system aggregates the condition data. The remote system processes the aggregated visibility data and condition data to determine conditions under which a target object does not meet a visibility threshold.

Abstract: A system uses a fleet of AVs to assess visibility of target objects. Each AV has a camera for capturing images of target objects. AVs provide the captured images, or visibility data derived from the captured images, to a remote system, which aggregates visibility data describing images captured across the fleet of AVs. The AVs also provide condition data describing conditions under which the images were captured, and the remote system aggregates the condition data. The remote system processes the aggregated visibility data and condition data to determine conditions under which a target object does not meet a visibility threshold.

Abstract: A system uses a fleet of AVs to assess visibility of target objects. Each AV has a camera for capturing images of target objects. AVs provide the captured images, or visibility data derived from the captured images, to a remote system, which aggregates visibility data describing images captured across the fleet of AVs. The AVs also provide condition data describing conditions under which the images were captured, and the remote system aggregates the condition data. The remote system processes the aggregated visibility data and condition data to determine conditions under which a target object does not meet a visibility threshold.

Abstract: A system uses a fleet of AVs to assess visibility of target objects. Each AV has a camera for capturing images of target objects. AVs provide the captured images, or visibility data derived from the captured images, to a remote system, which aggregates visibility data describing images captured across the fleet of AVs. The AVs also provide condition data describing conditions under which the images were captured, and the remote system aggregates the condition data. The remote system processes the aggregated visibility data and condition data to determine conditions under which a target object does not meet a visibility threshold.

Abstract: Embodiments may relate to a vehicle comprising: a sensor to identify, based on an audio or visual condition, the occurrence of a condition related to a passenger of the vehicle. The vehicle may further include a processor coupled with the sensor. The processor may be configured to identify, in a user profile of the first passenger of the vehicle, a pre-identified action. The processor may further be configured to perform, or facilitate the performance of, the pre-identified action by the vehicle based on the occurrence of the audio or visual condition. Other embodiments may be described or claimed.

Abstract: The present technology is effective to cause at least one processor to determine that a vehicle is within a threshold distance from a point of interest, determine details about the point of interest, and present the details about the point of interest. The vehicle may be characterized by having the ability to take any route to a destination requested by a passenger and to travel to the destination at any speed that is appropriate for road and traffic conditions. The details about the point of interest to present may be based upon a location and a speed of the vehicle.