An unmanned device control method and apparatus, a storage medium, and an electronic device. An unmanned device is controlled to move according to a preplanned target path; current environment information of the unmanned device is obtained; according to the current environment information of the unmanned device, a target subpath on which the unmanned device is located is determined, from target subpaths included in the target path, as a designated subpath; and a control strategy is then determined according to a scenario type corresponding to the designated subpath, and a determined control strategy is used to control the unmanned device.

A method of controlling a movable platform includes obtaining depth information of a scene in a first direction based on a first image captured by a first sensor of the movable platform and a third image by a third sensor of the movable platform, respectively; obtaining depth information of a scene in a second direction based on a second image captured by a second sensor of the movable platform and the third image by the third sensor of the movable platform, respectively; and controlling movement of the movable platform in space based on the depth information of the scene in the first direction and the second direction. The first sensor, the second sensor and the third sensor are mounted on the movable platform at substantially a same level. The third sensor has a first and a second overlapping field of view with the first sensor and the second sensor, respectively.

An automated carrier includes a towing vehicle and a towed vehicle towed by the towing vehicle. The towed vehicle includes a marker associated with specification information of the towed vehicle stored in a computer mounted on the towing vehicle or in an external computer communicating with the towing vehicle. The towing vehicle includes a camera and a controller. The camera acquires a marker image by capturing an area comprising the marker on the towed vehicle. The controller acquires the specification information of the towed vehicle from the computer based on the marker image, and controls a drive unit of the towing vehicle based on the acquired specification information of the towed vehicle.

A guidance system for remotely guiding a work machine along a virtual path. The system uses a vision system to capture image data representative of areas surrounding the work machine. The image data is used to produce a spatial map. Analysis of image data allows the work machine's then-current position to be represented on the spatial map. A virtual path extending from the work machine's position is next added to the spatial map. The virtual path may be generated in response to external input provided at the display showing an image of the spatial map. Using continuously-updated image data, the work machine is driven toward the virtual path. During operation, the actual path of the work machine is compared to the virtual path. If any deviation between the paths is detected, the trajectory of the work machine is automatically adjusted.

Provided are a system and method for intelligently interpreting an exhibition scene. The system is configured for automatically following an interpretation user or a visitor by means of an intelligent following apparatus, so as to improve visiting experience of the visitor. The system includes a positioning apparatus and the intelligent following apparatus, the positioning apparatus is configured for determining positioning information of target users, and the intelligent following apparatus is configured for following the target users to move according to the positioning information of the target users.

Disclosed is a nighttime cooperative positioning method based on an unmanned aerial vehicle (UAV) group, falling within the technical field of aircraft navigation and positioning. According to the present disclosure, the cooperative visual positioning and the collision warning for UAVs are realized by means of light colors of the UAVs, respective two-dimensional turntable cameras and a communication topology network, without adding additional equipment and without relying on an external signal source, avoiding external interference. Compared with the positioning method in a conventional manner, in the present disclosure, the system is effectively simplified, and the cooperative positioning among the interiors of a UAV cluster can be realized relatively simply and at a low cost to maintain the formation of the UAV group.

Systems, devices, and methods for an aircraft autopilot guidance control system for guiding an aircraft having a body, the system comprising: a processor configured to determine if a yaw angle difference and a pitch angle difference meet corresponding angle thresholds; a skid-to-turn module configured to generate a skid-to-turn signal if the corresponding angle thresholds are met; a bank-to-turn module configured to generate a bank-to-turn signal having a lower bandwidth than the generated skid-to-turn signal; a rudder integrator module configured to add a rudder integrator feedback signal to the bank-to-turn signal, where the rudder integrator feedback signal is proportional to a rudder integrator; and a filter module configured to filter the generated bank-to-turn signal, wherein the filter module comprises a low-pass filter configured by a set of gains to pass the bank-to-turn signal if a side force on the body meets a side force threshold.

A system and a method for generating three-dimensional scan data of areas of interest, the method comprising a user defining the areas of interest using a mobile device in the environment, and a scanning device performing a scanning procedure at each defined area of interest to generate the scan data of the respective area of interest, wherein defining the areas of interest comprises, for each area of interest, generating identification data, wherein generating the identification data at least comprises generating image data of the respective area of interest, and the scanning procedure at each defined area of interest is performed by a mobile robot comprising the scanning device and being configured for autonomously performing a scan of a surrounding area using the scanning device, the mobile robot having a SLAM functionality for simultaneous localization and mapping and being configured to autonomously move through the environment using the SLAM functionality.

A cleaning robot includes a navigator to move a main body, a remote controller to output a modulated infrared ray in accordance with a control command of a user and to form a light spot, a light receiver to receive the infrared ray from the remote controller, and a controller to control the navigator such that the main body tracks the light spot when the modulated infrared ray is received in accordance with the control command. Because the cleaning robot tracks a position indicated by the remote controller, a user may conveniently move the cleaning robot.

The present invention relates to a self-propelled vehicle (100) comprising:a light emitting device for emitting light pulses out of the self-propelled vehicle (100); and-an imaging device (1) for capturing an image of a region located out of the self-propelled vehicle (100), the imaging device (1) comprising a shutter; whereinthe light emitting device is coordinated with the shutter of the imaging device (1), such that an image (50) is captured by the imaging device (1) during at least part of the duration of a light pulse; wherein:the light emitting device is configured to emit light pulses wherein each light pulse has a duration of less than 5000 ?s. The invention also relates to a method of capturing images (50) from a self-propelled vehicle (100).