Light emitting device positional tracking systems and methods are provided. In one example, a method includes receiving images captured of a target location comprising a plurality of light emitting devices, where each of the light emitting devices has an associated blinking pattern. The method may further include detecting the blinking pattern for each of the light emitting devices in the images. The method may further include determining a classification for each of the light emitting devices based on its detected blinking pattern. The method may further include aligning a mobile platform with the target location based on the classifications of the light emitting devices. Related devices and systems are also provided.

In an aspect, a system for a guidance interface for a vertical take-off and landing (VTOL) aircraft comprises a plurality of flight components that are mechanically coupled to the VTOL aircraft. The VTOL aircraft also comprises an output device that is configured to present a display of the outside environment. The output device may overlay the display with a datum, a focal point, and a guidance symbol. The datum may be associated with the flight components of the VTOL aircraft. The focal point may be indicative of a desired landing location for the VTOL aircraft. The focal point may be determined by at least a predetermined flight plan. The guidance symbol may be a symbol that includes an optimal flight path to the focal point.

A method for enabling autonomous emergency assistance for one or more communication device, CD, registered in a regular cellular network. The method is performed in an autonomous unmanned aerial vehicle, UAV, and comprises emulating a cellular network in a geographical region, wherein the UAV and the one or more CD are without connectivity with the regular cellular network, sending an information message in the geographical region, the message comprising an emergency response trigger, receiving an automatic emergency data response from the one or more CD in the geographical region, in response to the sent message, and determining an action based on the received automatic emergency data response. A CD, a UAV, a computer program and a computer program product are also presented.

A management system of a work site includes an image data acquisition unit that acquires image data of an unmanned vehicle stopped at the work site due to generation of a trouble, the image data being imaged by an imaging device mounted in a movable body.

An aircraft includes first units each including a first sensor, a rotary wing, a driver, and a first drive controller. The first drive controller is configured to generate a drive signal of the rotary wing on the basis of a flying route of the aircraft and a control law based on a flying state detected by the first sensor, and output the drive signal to the driver configured to drive the rotary wing. The control laws of the respective first drive controllers are equal to each other between the first units. The first drive controllers are each configured to generate the drive signals that correspond to all of the first units. The drivers are each configured to drive the corresponding rotary wing on the basis of corresponding one of the drive signals that correspond to all of the first units and that are generated by the first drive controllers.

A localization and attitude estimation method using magnetic fields includes the following steps. First, in three-dimensional coordinates, at least three magnetic landmarks arbitrarily disposed around a moving carrier are selected, wherein any two of the at least three magnetic landmarks have different magnetic directions. One set of at least five tri-axes magnetic sensors is used to sense the magnetic fields of the at least three magnetic landmarks. Three magnetic components on three axes of a current position of each of the tri-axes magnetic sensors are respectively generated by a demagnetization method. Five non-linear magnetic equations are solved to obtain position information and magnetic moment information of the at least three magnetic landmarks in the three-dimensional coordinates. Position vectors and attitude vectors of the set of at least five tri-axes magnetic sensors in a three-dimensional space are estimated based on tri-axes magnetic moment vectors of the magnetic landmarks.

An information processing system includes: an information processing device configured to control a speed of a moving object that autonomously moves along a preset trajectory; and an input device including an input unit that receives an input from a user and configured to supply an input value input from the user and used to control the speed of the moving object to the information processing device.

In order to continuously acquire positional information of a moving body without losing sight of a target provided to the moving body, a moving body control system 1 a includes a moving body 100a with a target 100a, a positional information transmission apparatus 200 transmitting positional information of the target 100a on the basis of tracking the target 100a, a collimation possibility determining unit 109 determining, on the basis of an inclination of the moving body 100 predicted depending on a movement control instruction for moving the moving body 100, whether or not an incident angle at which a straight line connecting the positional information transmission apparatus 200 and the target 100a enters the target 100a falls within a prescribed range, and a control instruction changing unit 111 changing the movement control instruction based on the result of the determination.

A system and method for detecting yoke interference for an aircraft having an auto pitch trim function is provided. The system includes a source of elevator load data, a source of aircraft speed data, and a processing system. The processing system is coupled to receive the elevator load data, the aircraft speed data, and initial condition center-of-gravity (CG) data that is representative of at least an estimated initial position of the CG of the aircraft. The processing system is configured to process at least the speed data and the initial condition CG data to: (i) determine an expected elevator load on the elevator flight control surface, (ii) determine if the expected elevator load exceeds the sensed elevator load by a predetermined magnitude, and (iii) when the expected elevator load exceeds the sensed elevator load by a predetermined magnitude, generate a disconnect signal that will disable the auto pitch trim function.

An example method for training a machine learning algorithm (MLA) to control a first aircraft in an environment that comprises the first aircraft and a second aircraft can involve: determining a first-aircraft action for the first aircraft to take within the environment; sending the first-aircraft action to a simulated environment; generating and sending to both the simulated environment and the MLA, randomly-sampled values for each of a set of parameters of the second aircraft different from predetermined fixed values for the set of parameters; receiving an observation of the simulated environment and a reward signal at the MLA, the observation including information about the simulated environment after the first aircraft has taken the first-aircraft action and the second aircraft has taken a second-aircraft action based on the randomly-sampled values; and updating the MLA based on the observation of the simulated environment, the reward signal, and the randomly-sampled values.