Abstract: An introduced autonomous aerial vehicle can include multiple cameras for capturing images of a surrounding physical environment that are utilized for motion planning by an autonomous navigation system. In some embodiments, the cameras can be integrated into one or more rotor assemblies that house powered rotors to free up space within the body of the aerial vehicle. In an example embodiment, an aerial vehicle includes multiple upward-facing cameras and multiple downward-facing cameras with overlapping fields of view to enable stereoscopic computer vision in a plurality of directions around the aerial vehicle. Similar camera arrangements can also be implemented in fixed-wing aerial vehicles.

Abstract: Techniques are described for controlling an autonomous vehicle such as an unmanned aerial vehicle (UAV) using objective-based inputs. In an embodiment, the underlying functionality of an autonomous navigation system is exposed via an application programming interface (API) allowing the UAV to be controlled through specifying a behavioral objective, for example, using a call to the API to set parameters for the behavioral objective. The autonomous navigation system can then incorporate perception inputs such as sensor data from sensors mounted to the UAV and the set parameters using a multi-objective motion planning process to generate a proposed trajectory that most closely satisfies the behavioral objective in view of certain constraints. In some embodiments, developers can utilize the API to build customized applications for the UAV. Such applications, also referred to as “skills,” can be developed, shared, and executed to control behavior of an autonomous UAV and aid in overall system improvement.

Abstract: Techniques are described for controlling an autonomous vehicle such as an unmanned aerial vehicle (UAV) using objective-based inputs. In an embodiment, the underlying functionality of an autonomous navigation system is exposed via an application programming interface (API) allowing the UAV to be controlled through specifying a behavioral objective, for example, using a call to the API to set parameters for the behavioral objective. The autonomous navigation system can then incorporate perception inputs such as sensor data from sensors mounted to the UAV and the set parameters using a multi-objective motion planning process to generate a proposed trajectory that most closely satisfies the behavioral objective in view of certain constraints. In some embodiments, developers can utilize the API to build customized applications for the UAV. Such applications, also referred to as “skills,” can be developed, shared, and executed to control behavior of an autonomous UAV and aid in overall system improvement.

Abstract: A technique is described for controlling an autonomous vehicle such as an unmanned aerial vehicle (UAV) using objective-based inputs. In an embodiment, the underlying functionality of an autonomous navigation system is via an application programming interface (API). In such an embodiment, the UAV can be controlled trough specifying a behavioral objective, for example, using a call to the API to set parameters for the behavioral objective. The autonomous navigation system can then incorporate perception inputs such as sensor data from sensors mounted to the UAV and the set parameters using a multi-objective motion planning process to generate a proposed trajectory that most closely satisfies the behavioral objective in view of certain constraints. In some embodiments, developers can utilize the API to build customized applications for utilizing the UAV to capture images.

Abstract: A technique is described for controlling an autonomous vehicle such as an unmanned aerial vehicle (UAV) using objective-based inputs. In an embodiment, the underlying functionality of an autonomous navigation system is via an application programming interface (API). In such an embodiment, the UAV can be controlled trough specifying a behavioral objective, for example, using a call to the API to set parameters for the behavioral objective. The autonomous navigation system can then incorporate perception inputs such as sensor data from sensors mounted to the UAV and the set parameters using a multi-objective motion planning process to generate a proposed trajectory that most closely satisfies the behavioral objective in view of certain constraints. In some embodiments, developers can utilize the API to build customized applications for utilizing the UAV to capture images.

Abstract: A method of reserving and completing purchases includes transmitting, by a first computing device, a payment authorization code to a second computing device, the payment authorization code associated with an order placed by a user of the second computing device. The method includes receiving, by a transaction management component executing on a third computing device, the payment authorization code from the second computing device. The method includes requesting, by the transaction management component, from the user, a payment to complete the order within a time period. The method includes determining, by the transaction management component, that the user provided the requested payment within the time period. The method includes instructing, by the transaction management component, a retailer transaction management component executing on the first computing device to fulfill the order, responsive to the determination.