A computer-implemented method for tracking multiple targets includes identifying a plurality of targets based on a plurality of images obtained from an imaging device carried by an unmanned aerial vehicle (UAV) via a carrier, determining a target group comprising one or more targets from the plurality of targets, and controlling at least one of the UAV or the carrier to track the target group.

Methods and systems for operating a moving platform to locate a known target at an area associated with the target are disclosed. In an example method to locate the target at the area, a first moving platform, configured with a first type of sensor, is caused to move to the area. An attempt is made to locate, via the first moving platform and the first type of sensor, the target at the area. Based on the attempt, a second moving platform, configured with a second type of sensor, is caused to move to the area. The target is located via the second moving platform and the second type of sensor.

[Object] [Solving Means] A moving body according to an embodiment of the present technology includes an imaging unit, a first detection unit, and a control unit. The first detection unit detects a front direction of the moving body. The control unit controls a posture around a first axis of the imaging unit to a posture specified by a steering apparatus based on an output of the first detection unit, an output of a second detection unit that detects a front direction of the steering apparatus that steers the imaging unit, and input data generated by the steering apparatus.

A bio-hybrid odor-localizing autonomous air vehicle includes an airborne robotic platform having a navigation platform, a wireless transmitter communicatively coupled to a management console, and a biological sensor mounted on the airborne robotic platform that reacts to at least one olfactory odor. A controller is communicatively coupled to the airborne robotic platform, the navigation platform, and the biological sensor. The controller monitors the biological sensor. In response to the biological sensor detecting the at least one olfactory odor, the controller directs the airborne platform to three-dimensionally map an olfactory plume of the at least one olfactory odor using an olfactory-driven search pattern. The controller stores the three-dimensional map for later retrieval or transmits the three-dimensional map of the olfactory plume to the management console via the wireless transmitter.

Disclosed is an elevator inspection system, having: a sensor implement; a robotic platform supporting the sensor, the robotic platform configured to inspect a hoistway; a controller operationally connected to the robotic platform and the sensor, wherein the controller is configured to define hoistway model data for the hoistway, from sensor data, corresponding to locations and shape boundaries of the hoistway and doorway openings formed in the hoistway.

Systems and methods are described for using data collected by unmanned aerial vehicles (UAVs) to generate insurance claim estimates that an insured individual may quickly review, approve, or modify. When an insurance-related event occurs, such as a vehicle collision, crash, or disaster, one or more UAVs are dispatched to the scene of the event to collect various data, including data related to vehicle or real property (insured asset) damage. With the insured's permission or consent, the data collected by the UAVs may then be analyzed to generate an estimated insurance claim for the insured. The estimated insurance claim may be sent to the insured individual, such as to their mobile device via wireless communication or data transmission, for subsequent review and approval. As a result, insurance claim handling and/or the online customer experience may be enhanced.

A control method and device of a movable platform, a movable platform, and a storage medium are provided. The control method may include acquiring a control amount for controlling the movable platform; converting the control amount into control instruction of the movable platform based upon a position of the movable platform and a position of a target object photographed by the movable platform; and controlling the movable platform to move relative to the target object according to the control instruction.

The unmanned flying vaccine administration system comprises a drone, a vaccine delivery system, an interaction system. The drone is a vaccine injection flying robot that avoids the dangers of in-person vaccination. The vaccine delivery system is an electronic system that harnesses the power of technology to vaccinate people safely and efficiently. The interaction system is an electronic system armed with an Artificial Intelligence infrastructure. The present invention gathers energy by solar power, administers vaccines with a vaccine injection arm, and properly stores vaccines at the desired temperature with a storage container. The computing device controls the main modules that are designed for vaccine delivery and administration. The interaction system has a patient interface camera, a patient interface display, and a temperature sensor that monitor the state of the patient after receiving a vaccination to ensure the health and safety of the patient.

In some examples, an unmanned aerial vehicle (UAV) may determine, based on a three-dimensional (3D) model including a plurality of points corresponding to a scan target, a scan plan for scanning at least a portion of the scan target. For instance, the scan plan may include a plurality of poses for the UAV to assume to capture images of the scan target. The UAV may capture with one or more image sensors, one or more images of the scan target from one or more poses of the plurality of poses. Further, the UAV may determine an update to the 3D model based at least in part on the one or more images. Additionally, the UAV may update the scan plan based at least in part on the update to the 3D model.

A system for fly by view in an electric aircraft, where the system includes an electric aircraft, where the electric aircraft further includes at least a flight component mechanically coupled to the electric aircraft, a battery assembly and at least on video transmitter coupled to the electric aircraft, where the at least one video transmitter is configured to transmit a pilot stream to a first-person-view headset. The system also includes a first-person-view headset, where the first-person-view headset is configured to receive the pilot stream from at least one video transmitter, and display the pilot stream to a user, where displaying the pilot stream includes displaying a flight time remaining metric as a function of the remaining charge of the battery, and displaying a flight component output metric as a function of the performance of the flight component.