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 changing a view of selected advertisements visible from a vehicle. In particular, systems and methods are provided to detect outdoor advertisements visible from inside a vehicle, and cover, replace, and/or enhance the detected advertisements. In some examples, advertisements can be blocked, replaced and/or enhanced by projecting images onto the interior window, and/or dynamically dimming selected portions of the interior window.

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: 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: An inflatable system includes a first bladder configured to contain gas and a second bladder configured to contain gas. The first bladder includes a top wall, a bottom wall opposite of the top wall, a sidewall extending between and connected to perimeter edges of the top and bottom walls, and a plurality of tethers extending between and connected to interior surfaces of the top and bottom walls. The second bladder includes a top wall, a bottom wall opposite of its top wall, a sidewall extending between and connected to perimeter edges of its top and bottom walls, and a plurality of tethers extending between and connected to interior surfaces of its top and bottom walls. The bottom wall of the first bladder is secured to the top wall of the second bladder.

Abstract: An adjustable seat for a vehicle including a first seat section configured to support a lower leg portion of the passenger when the passenger is sitting facing the first direction and a second seat section configured to support an upper leg portion of the passenger when the passenger is sitting facing the first direction and a torso and head portion of the passenger when the passenger is sitting facing the second direction. The adjustable seat also comprising a third seat section configured to support the torso and head portion of the passenger when the passenger is sitting facing the first direction and the upper leg portion of the passenger when the passenger is sitting facing the second direction. The adjustable seat also comprising a fourth seat section configured to support the lower leg portion of the passenger when the passenger is sitting facing the second direction.

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: 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: A vehicle safety seat system comprises: i) a vehicle seat configured to move to a substantially reclining position, the vehicle seat comprising a seat back and a seat bottom; and ii) a first support arm associated with the seat back, the first support arm including a first airbag on a lower surface of the first support arm, the first support arm holding the first airbag in a position above the thorax of a passenger reclining in the vehicle seat. The first airbag inflates in the event of a collision and provides protection between the first support arm and the thorax of the passenger.

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 inflatable system includes a first bladder configured to contain gas and a second bladder configured to contain gas. The first bladder includes a top wall, a bottom wall opposite of the top wall, a sidewall extending between and connected to perimeter edges of the top and bottom walls, and a plurality of tethers extending between and connected to interior surfaces of the top and bottom walls. The second bladder includes a top wall, a bottom wall opposite of its top wall, a sidewall extending between and connected to perimeter edges of its top and bottom walls, and a plurality of tethers extending between and connected to interior surfaces of its top and bottom walls. The bottom wall of the first bladder is secured to the top wall of the second bladder.

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.