Automated systems and methods for collecting environmental data along a ballistic trajectory are disclosed. The systems and methods may comprise automatically estimating the ballistic trajectory of a projectile. The systems and methods may comprise automatically converting the ballistic trajectory into a ballistic flight path comprising a plurality of coordinates. The systems and methods may comprise electronically communicating the ballistic flight path to a guidance system of an Unmanned Aerial Vehicle (UAV). The guidance system may be configured to cause the UAV to navigate along the ballistic flight path. The systems and methods may comprise automatically collecting environmental data along the ballistic flight path.

Disclosed is a configuration of an autonomous vehicle for autonomously following a moving subject based on a radius of a virtual sphere surrounding the autonomous vehicle. The autonomous vehicle may be an unmanned ground vehicle or an unmanned aerial vehicle, which autonomously follows the subject (e.g., a device, a live entity, or any object) based on the virtual sphere. The radius of the virtual sphere may be dynamically configured according to a velocity of the autonomous vehicle or configurations of a camera coupled to the autonomous vehicle. Accordingly, the autonomous vehicle can follow the subject along a smooth trajectory, and capture images of abrupt movements of the subject in a cinematically pleasing manner.

Disclosed is a configuration of an autonomous vehicle for autonomously following a moving subject based on a radius of a virtual sphere surrounding the autonomous vehicle. The autonomous vehicle may be an unmanned ground vehicle or an unmanned aerial vehicle, which autonomously follows the subject (e.g., a device, a live entity, or any object) based on the virtual sphere. The radius of the virtual sphere may be dynamically configured according to a velocity of the autonomous vehicle or configurations of a camera coupled to the autonomous vehicle. Accordingly, the autonomous vehicle can follow the subject along a smooth trajectory, and capture images of abrupt movements of the subject in a cinematically pleasing manner.

Embodiments of the present disclosure provide a gimbal control method. The method includes receiving a first position and a second position wherein the first position and the second position are touched positions of an operation interface of a terminal; determining a rotation angle of the gimbal based on the first position, the second position, and an attitude of the gimbal at the first position; and controlling rotation of the gimbal based on the rotation angle.

Embodiments of the present disclosure provide a gimbal control method. The method includes receiving a first position and a second position wherein the first position and the second position are touched positions of an operation interface of a terminal; determining a rotation angle of the gimbal based on the first position, the second position, and an attitude of the gimbal at the first position; and controlling rotation of the gimbal based on the rotation angle.

In order to achieve the above objects, according to the present invention, an information processing system includes a wind-condition estimation unit that estimates wind-condition information in a predetermined space region, and an evaluation unit that evaluates flight difficulty or economic efficiency of an aircraft based on the estimated wind-condition information. According to the present invention, an information processing method includes estimating wind-condition information in a predetermined space region, and evaluating flight difficulty or economic efficiency of an aircraft based on the estimated wind-condition information.

A method is provided for detecting and avoiding conflict along a current route of a robot. The method includes accessing or determining trajectories of the robot and a nearby moving object forward in time from their respective current positions, and detecting a conflict from a comparison of the trajectories. The method includes selecting a maneuver to avoid the conflict, and outputting an indication of the maneuver for use in at least one of guidance, navigation or control of the robot to avoid the conflict. Selection of the maneuver includes determining a plurality of angles that describe the conflict such as those at which the robot and moving object observe one another, and/or an angle between their trajectories, and evaluating the plurality of angles to select the maneuver.

An aircraft includes a fuselage, a main wing, and a flight controller. The main wing is attached to the fuselage and configured to generate lift that acts on the aircraft. The flight controller includes an electric field direction estimator, an attitude calculator, and an attitude controller. The electric field direction estimator is configured to estimate a direction of an electric field around the aircraft. The attitude calculator is configured to calculate a target airframe attitude that reduces a possibility of occurrence of lightning strike on the aircraft, on the basis of the direction of the electric field estimated by the electric field direction estimator. The attitude controller is configured to control an attitude of an airframe of the aircraft to cause the attitude of the airframe to be the target airframe attitude calculated by the attitude calculator.

A method and apparatus for controlling an Unmanned Aerial Vehicle (UAV) are provided. The method is applied to the UAV, and includes: receiving flight path information transmitted by a UAV controller, wherein the flight path information represents a flight path set by the UAV controller for the UAV controlled by the UAV controller; and transmitting the flight path information to a base station that provides a network service for the UAV, such that the base station determines the flight path based on the flight path information.

Sensor data that includes or more of the following: (1) aircraft state information associated with an aircraft or (2) parachute canopy state information associated with a parachute canopy is received. The parachute canopy is coupled to the aircraft at a point aft of a center of mass of the aircraft. It is determined, based at least in part on the sensor data, whether to generate a control signal associated with maneuvering the aircraft into a nose-up position. A recovery action is performed, including by deploying the parachute canopy; wherein a load on the parachute canopy is reduced in the event the aircraft is in the nose-up position compared to the aircraft being in a nose-down position.