Abstract: Methods, systems and apparatus, including computer programs encoded on computer storage media for fleet management of unmanned aerial vehicles, including flight authorization. One of the methods includes maintaining one or more rules associated with authorizing UAVs to implement flight plans. A request to generate a flight plan associated with a job is received, the request including information indicating a flight pattern comprising, at least, one or more waypoints associated with geospatial references. The flight plan is generated based on the request, and an initial authorization check is determined based on the maintained rules and the generated flight plan. Upon a positive determination, access to the generated flight plan is provided by a ground control system, and the flight plan is implemented.

Abstract: Methods, systems and apparatus, including computer programs encoded on computer storage media for unmanned aerial vehicle beyond visual line of sight (BVLOS) flight operations. In an embodiment, a flight planning system of an unmanned aerial vehicle (UAV) can identify handoff zones along a UAV flight corridor for transferring control of the UAV between ground control stations. The start of the handoff zones can be determined prior to a flight or while the UAV is in flight. For handoff zones determined prior to flight, the flight planning system can identify suitable locations to place a ground control station (GCS). The handoff zone can be based on a threshold visual line of sight range between a controlling GCS and the UAV. For determining handoff zones while in flight, the UAV can monitor RF signals from each GCS participating in the handoff to determine the start of a handoff period.

Abstract: Methods, systems, and program products of inspecting solar panels using unmanned aerial vehicles (UAVs) are disclosed. A UAV can obtain a position of the Sun in a reference frame, a location of a solar panel in the reference frame, and an orientation of the solar panel in the reference frame. The UAV can determine a viewing position of the UAV in the reference frame based on at least one of the position of the Sun, the location of the solar panel, and the orientation of the solar panel. The UAV can maneuver to the viewing position and point a thermal sensor onboard the UAV at the solar panel. The UAV can capture, by the thermal sensor, a thermal image of at least a portion of the solar panel. A server onboard the UAV or connected to the UAV can detect panel failures based on the thermal image.

Abstract: Methods, systems and apparatus, including computer programs encoded on computer storage media for unmanned aerial vehicle visual line of sight flight operations. A UAV computer system may be configured to ensure the UAV is operating in visual line of sight of one or more ground operators. The UAV may confirm that it has a visual line of sight with the one or more user devices, such as a ground control station, or the UAV may ensure that the UAV does not fly behind or below a structure such that the ground operator would not be able to visually spot the UAV. The UAV computer system may be configured in such a way that UAV operation will maintain the UAV in visual line of sight of a base location.

Abstract: A property is identified for inspection based on a determination of a weather event impacting the property. A flight plan usable by an unmanned aerial vehicle (UAV) in identifying an extent of damage to the property caused by the weather event is determined. A user interface is presented at a user device. The user interface includes user interface controls configured for toggling layers of the user interface. The layers include a first layer that includes a geofence, a second layer that includes an inspection area of the property, a third layer that includes one of a launch location or a landing location of the UAV, and a fourth layer that includes a base map layer of an area that includes the property. A modification to the flight plan is received via the user interface.

Abstract: Methods, systems and apparatus, including computer programs encoded on computer storage media for generation of autonomous unmanned aerial vehicle flight plans based on triggered sensor information. One of the methods includes accessing information correlated from sensors monitoring features of weather events, and determining an upcoming weather event, the determination comprising one or more areas expected to be affected by the weather event. A likelihood of damage associated with the weather event is determined to be greater than a threshold in the areas. The weather event is monitored while areas in which the likelihood is greater than the threshold are updated accordingly. Subsequent to the weather event, properties to be inspected by unmanned aerial vehicles are determined based on severity information associated with the weather event.

Abstract: Methods, systems, and program products of inspecting solar panels using unmanned aerial vehicles (UAVs) are disclosed. A UAV can obtain a position of the Sun in a reference frame, a location of a solar panel in the reference frame, and an orientation of the solar panel in the reference frame. The UAV can determine a viewing position of the UAV in the reference frame based on at least one of the position of the Sun, the location of the solar panel, and the orientation of the solar panel. The UAV can maneuver to the viewing position and point a thermal sensor onboard the UAV at the solar panel. The UAV can capture, by the thermal sensor, a thermal image of at least a portion of the solar panel. A server onboard the UAV or connected to the UAV can detect panel failures based on the thermal image.

Abstract: Methods, systems, and program products of inspecting solar panels using unmanned aerial vehicles (UAVs) are disclosed. A UAV can obtain a position of the Sun in a reference frame, a location of a solar panel in the reference frame, and an orientation of the solar panel in the reference frame. The UAV can determine a viewing position of the UAV in the reference frame based on at least one of the position of the Sun, the location of the solar panel, and the orientation of the solar panel. The UAV can maneuver to the viewing position and point a thermal sensor onboard the UAV at the solar panel. The UAV can capture, by the thermal sensor, a thermal image of at least a portion of the solar panel. A server onboard the UAV or connected to the UAV can detect panel failures based on the thermal image.

Abstract: Disclosed in this specification are methods, systems and apparatus, including computer programs encoded on non-transitory computer storage media for unmanned aerial vehicle (UAV) flight operation and privacy controls. Based on geofence types, and UAV distance from a geofence, sensors and other devices connected to a UAV are conditionally operational. Image data collected during a UAV flight may be obfuscated by the UAV while in flight, or via a post-flight process using log data generated by the UAV.

Abstract: Methods, systems, and program products of inspecting solar panels using unmanned aerial vehicles (UAVs) are disclosed. A UAV can obtain a position of the Sun in a reference frame, a location of a solar panel in the reference frame, and an orientation of the solar panel in the reference frame. The UAV can determine a viewing position of the UAV in the reference frame based on at least one of the position of the Sun, the location of the solar panel, and the orientation of the solar panel. The UAV can maneuver to the viewing position and point a thermal sensor onboard the UAV at the solar panel. The UAV can capture, by the thermal sensor, a thermal image of at least a portion of the solar panel. A server onboard the UAV or connected to the UAV can detect panel failures based on the thermal image.

Abstract: Methods, systems and apparatus, including computer programs encoded on computer storage media for unmanned aerial vehicle beyond visual line of sight (BVLOS) flight operations. In an embodiment, a flight planning system of an unmanned aerial vehicle (UAV) can identify handoff zones along a UAV flight corridor for transferring control of the UAV between ground control stations. The start of the handoff zones can be determined prior to a flight or while the UAV is in flight. For handoff zones determined prior to flight, the flight planning system can identify suitable locations to place a ground control station (GCS). The handoff zone can be based on a threshold visual line of sight range between a controlling GCS and the UAV. For determining handoff zones while in flight, the UAV can monitor RF signals from each GCS participating in the handoff to determine the start of a handoff period.

Abstract: Disclosed in this specification are methods, systems and apparatus, including computer programs encoded on non-transitory computer storage media for unmanned aerial vehicle (UAV) flight operation and privacy controls. Based on geofence types, and UAV distance from a geofence, sensors and other devices connected to a UAV are conditionally operational. Image data collected during a UAV flight may be obfuscated by the UAV while in flight, or via a post-flight process using log data generated by the UAV.

Abstract: Methods, systems and apparatus, including computer programs encoded on computer storage media for unmanned aerial vehicle visual line of sight flight operations. A UAV computer system may be configured to ensure the UAV is operating in visual line of sight of one or more ground operators. The UAV may confirm that it has a visual line of sight with the one or more user devices, such as a ground control station, or the UAV may ensure that the UAV does not fly behind or below a structure such that the ground operator would not be able to visually spot the UAV. The UAV computer system may be configured in such a way that UAV operation will maintain the UAV in visual line of sight of a base location.

Abstract: Methods, systems and apparatus, including computer programs encoded on computer storage media for unmanned aerial vehicle beyond visual line of sight (BVLOS) flight operations. In an embodiment, a flight planning system of an unmanned aerial vehicle (UAV) can identify handoff zones along a UAV flight corridor for transferring control of the UAV between ground control stations. The start of the handoff zones can be determined prior to a flight or while the UAV is in flight. For handoff zones determined prior to flight, the flight planning system can identify suitable locations to place a ground control station (GCS). The handoff zone can be based on a threshold visual line of sight range between a controlling GCS and the UAV. For determining handoff zones while in flight, the UAV can monitor RF signals from each GCS participating in the handoff to determine the start of a handoff period.

Abstract: Methods, systems and apparatus, including computer programs encoded on computer storage media for fleet management of unmanned aerial vehicles, including flight authorization. One of the methods includes maintaining one or more rules associated with authorizing UAVs to implement flight plans. A request to generate a flight plan associated with a job is received, the request including information indicating a flight pattern comprising, at least, one or more waypoints associated with geospatial references. The flight plan is generated based on the request, and an initial authorization check is determined based on the maintained rules and the generated flight plan. Upon a positive determination, access to the generated flight plan is provided by a ground control system, and the flight plan is implemented.

Abstract: Methods, systems and apparatus, including computer programs encoded on computer storage media for unmanned aerial vehicle visual line of sight flight operations. A UAV computer system may be configured to ensure the UAV is operating in visual line of sight of one or more ground operators. The UAV may confirm that it has a visual line of sight with the one or more user devices, such as a ground control station, or the UAV may ensure that the UAV does not fly behind or below a structure such that the ground operator would not be able to visually spot the UAV. The UAV computer system may be configured in such a way that UAV operation will maintain the UAV in visual line of sight of a base location.

Abstract: Methods, systems, and program products of inspecting solar panels using unmanned aerial vehicles (UAVs) are disclosed. A UAV can obtain a position of the Sun in a reference frame, a location of a solar panel in the reference frame, and an orientation of the solar panel in the reference frame. The UAV can determine a viewing position of the UAV in the reference frame based on at least one of the position of the Sun, the location of the solar panel, and the orientation of the solar panel. The UAV can maneuver to the viewing position and point a thermal sensor onboard the UAV at the solar panel. The UAV can capture, by the thermal sensor, a thermal image of at least a portion of the solar panel. A server onboard the UAV or connected to the UAV can detect panel failures based on the thermal image.

Abstract: Methods, systems and apparatus, including computer programs encoded on computer storage media for fleet management of unmanned aerial vehicles, including flight authorization. One of the methods includes maintaining one or more rules associated with authorizing UAVs to implement flight plans. A request to generate a flight plan associated with a job is received, the request including information indicating a flight pattern comprising, at least, one or more waypoints associated with geospatial references. The flight plan is generated based on the request, and an initial authorization check is determined based on the maintained rules and the generated flight plan. Upon a positive determination, access to the generated flight plan is provided by a ground control system, and the flight plan is implemented.

Abstract: Disclosed in this specification are methods, systems and apparatus, including computer programs encoded on non-transitory computer storage media for unmanned aerial vehicle (UAV) flight operation and privacy controls. Based on geofence types, and UAV distance from a geofence, sensors and other devices connected to a UAV are conditionally operational. Image data collected during a UAV flight may be obfuscated by the UAV while in flight, or via a post-flight process using log data generated by the UAV.

Abstract: Disclosed in this specification are methods, systems and apparatus, including computer programs encoded on non-transitory computer storage media for unmanned aerial vehicle (UAV) flight operation and privacy controls. Based on geofence types, and UAV distance from a geofence, sensors and other devices connected to a UAV are conditionally operational. Image data collected during a UAV flight may be obfuscated by the UAV while in flight, or via a post-flight process using log data generated by the UAV.