Abstract: A display panel, a method for manufacturing the same, and a display device are disclosed. The display panel includes a substrate, a light-emitting element layer, a transparent barrier layer, a metal film layer, and an encapsulation layer. The light-emitting element layer is disposed on the substrate and is located within the display area. The transparent barrier layer is disposed on the light-emitting element layer and extends from the display area to the non-display area. The metal film layer is disposed in the non-display area and is located in the same layer as the transparent barrier layer. The encapsulation layer extends from the display area to the non-display area and is disposed on the transparent barrier layer and the metal film layer. The metal film layer is configured as a moisture-oxygen absorption layer to prevent moisture and oxygen from entering from below the encapsulation layer.

Abstract: A display panel, a manufacturing method of the same, and a display device. The method includes: providing a preformed plate; and depositing and forming a light-emitting layer and a cathode on the preformed plate in sequence. The preformed plate includes a drive substrate, anodes, a pixel definition layer, and conductive isolation structures. The anodes, the light-emitting layer, and the cathode are sequentially deposited in the pixel openings to form subpixel units. Before the depositing and forming the cathode, the method further includes: vapor-depositing and forming a barrier layer on the light-emitting layer on a position except a target pixel opening, where the barrier layer is mutually repulsive with the cathode. After the depositing and forming the cathode, the method further includes: removing the barrier layer and the light-emitting layer on the position except the region of the target pixel opening.

Abstract: A display panel and a display device are disclosed. The display panel includes a substrate, a pixel defining layer, and a light-emitting element layer. Each light-emitting element includes a bottom electrode, a light-emitting layer, and a top electrode, and includes a middle region and a peripheral region arranged around the middle region. The bottom electrode includes a reflective electrode layer, and a transparent electrode layer arranged on the side of the reflective electrode layer facing away from the substrate. The transparent electrode layer includes a first conductive layer arranged corresponding to the middle region and a second conductive layer arranged corresponding to the peripheral region, the first and second conductive layers being electrically connected. The thickness of the first conductive layer is less than that of the second conductive layer. At each light-emitting element, the brightness of the peripheral region is higher than that of the middle region.

Abstract: A pixel structure and a display panel are provided. The pixel structure includes a first sub-pixel, a second sub-pixel and a third sub-pixel. The first sub-pixel and the second sub-pixel are alternately disposed along a first direction and form a first pixel row. The third sub-pixels are disposed along the first direction and form a second pixel row. The first pixel row and the second pixel row are alternately disposed along a second direction. Centers of two first sub-pixels and two second sub-pixels from adjacent two rows and adjacent two columns may be connected to form a virtual quadrilateral. The third sub-pixel is located within the virtual quadrilateral. The pixel structure further includes spacer structures. Each spacer structure is configured to enclose one sub-pixel. The spacer structure is configured to electrically connect the cathodes of the sub-pixels to each other.

Abstract: A display panel and an electronic device. The display panel includes: a substrate; a plurality of pixel islands, arranged on a side of the substrate; wherein each pixel island comprises at least one sub-pixel; and a plurality of blocking structures; wherein each blocking structure is disposed protruding from the substrate and encloses to form a blocking region; each blocking structure includes a substrate substance filled with spherical particles. A positive projection of each pixel island on the substrate is disposed within a positive projection of a corresponding blocking region on the substrate.

Abstract: The present disclosure provides a robot mapping method as well as a robot and a computer readable storage medium using the same. The method includes: detecting a marker with identification information capable of being identified by the robot in a current scene; determining whether the detected marker meets a preset condition; and mapping the current scene based on the marker, if the detected marker meets the preset condition. The robot mapping method can not only map the current scene, but also effectively reduce the difficulty of loops and the number of false loops.

Abstract: The present disclosure provides an autonomous mobile apparatus and a control method thereof. The method includes: starting a SLAM mode; obtaining first image data captured by a first camera; extracting a first tag image of positioning tag(s) from the first image data; calculating a three-dimensional camera coordinate of feature points of the positioning tag(s) in a first camera coordinate system of the first camera based on the first tag image; calculating a three-dimensional world coordinate of the feature points of the positioning tag(s) in a world coordinate system based on a first camera pose of the first camera when obtaining the first image data in the world coordinate system and the three-dimensional camera coordinate; and generating a map file based on the three-dimensional world coordinate of the feature points of the positioning tag(s).

Abstract: A loop closure detection method, a mobile device, and a computer readable storage medium are provided. The method includes: collecting images in different detection directions simultaneously through C0 cameras installed on the mobile device to obtain an image data group comprising C0 images; calculating feature information of each image in the image data group; performing a loop closure detection in C0 sub-threads respectively based on the feature information to obtain a loop closure detection result of each sub-thread; and determining a loop closure detection result of the mobile device based on the loop closure detection result of each sub-thread. In this manner, cross detections in a plurality of detection directions can be realized, which breaks through the limitation of loop closure detection in the prior art with respect to path direction, avoids repeated paths in the same direction, and greatly improves the mapping efficiency.

Abstract: The present disclosure provides a localization method as well as a helmet and a computer readable storage medium using the same. The method includes: extracting first feature points from a target image; obtaining inertial information of the carrier, and screening the first feature points based on the inertial information to obtain second feature points; triangulating the second feature points of the target image to generate corresponding initial three-dimensional map points, if the target image is a key frame image; performing a localization error loopback calibration on the initial three-dimensional map points according to at least a predetermined constraint condition to obtain target three-dimensional map points; and determining a positional point of the specific carrier according to the target three-dimensional map points. In this manner, the accuracy of the localization of a dynamic object such as a person when moving can be improved.

Abstract: The present disclosure provides a robot visual image feature extraction method as well as an apparatus and a robot using the same. The method includes: collecting image data through visual sensor(s) of the robot, and collecting angular velocity data through inertial sensor(s) of the robot; calculating a relative pose between image frames in the image data based on the angular velocity data; extracting feature points of the first image frame in the image data; calculating a projection position of each feature point of the k-th image frame in the k+1-th image frame based on a relative pose between the k-th image frame and the k+1-th image frame; and searching for each feature point in the projection position in the k+1-th image frame, and performing a synchronous positioning and a mapping based on the searched feature point. In this manner, the feature points of dynamic objects are eliminated.

Abstract: The present disclosure provides a virtual rail based cruise method as well as an apparatus and a robot using the same. The method includes: obtaining a digital map including a virtual rail; performing a path planning based on the virtual rail, a current position of the robot, and a cruise end point to obtain a cruise path; and obtaining parameter(s) of the robot by calculating through a preset path tracking algorithm based on the cruise path and the current position of the robot, and controlling the robot based on the control parameter(s). In this manner, the problems of the prior art that needs to lay a rail or set an auxiliary device which causes high cost and inconvenience in usage as well as the rail needs to be re-laid or the auxiliary device needs to be reinstalled when the route is to be changed can be solved.

Abstract: The present disclosure provides a loop closure detection method, a mobile device, and a computer readable storage medium. The method includes: collecting images in different detection directions simultaneously through C0 cameras installed on the mobile device to obtain an image data group comprising C0 images; calculating feature information of each image in the image data group; performing a loop closure detection in C0 sub-threads respectively based on the feature information to obtain a loop closure detection result of each sub-thread; and determining a loop closure detection result of the mobile device based on the loop closure detection result of each sub-thread. In this manner, cross detections in a plurality of detection directions can be realized, which breaks through the limitation of loop closure detection in the prior art with respect to path direction, avoids repeated paths in the same direction, and greatly improves the mapping efficiency.

Abstract: The present disclosure provides a robot mapping method as well as a robot and a computer readable storage medium using the same. The method includes: detecting a marker with identification information capable of being identified by the robot in a current scene; determining whether the detected marker meets a preset condition; and mapping the current scene based on the marker, if the detected marker meets the preset condition. The robot mapping method can not only map the current scene, but also effectively reduce the difficulty of loops and the number of false loops.

Abstract: The present disclosure provides an autonomous mobile apparatus and a control method thereof. The method includes: starting a SLAM mode; obtaining first image data captured by a first camera; extracting a first tag image of positioning tag(s) from the first image data; calculating a three-dimensional camera coordinate of feature points of the positioning tag(s) in a first camera coordinate system of the first camera based on the first tag image; calculating a three-dimensional world coordinate of the feature points of the positioning tag(s) in a world coordinate system based on a first camera pose of the first camera when obtaining the first image data in the world coordinate system and the three-dimensional camera coordinate; and generating a map file based on the three-dimensional world coordinate of the feature points of the positioning tag(s).

Abstract: The present disclosure provides a localization method as well as a helmet and a computer readable storage medium using the same. The method includes: extracting first feature points from a target image; obtaining inertial information of the carrier, and screening the first feature points based on the inertial information to obtain second feature points; triangulating the second feature points of the target image to generate corresponding initial three-dimensional map points, if the target image is a key frame image; performing a localization error loopback calibration on the initial three-dimensional map points according to at least a predetermined constraint condition to obtain target three-dimensional map points; and determining a positional point of the specific carrier according to the target three-dimensional map points. In this manner, the accuracy of the localization of a dynamic object such as a person when moving can be improved.

Abstract: The present disclosure provides a positioning method and a robot using the same. The method includes: obtaining, through the visual sensor, a current frame image; obtaining, through the ultra-wideband tag, distance of a robot from an ultra-wideband anchor; performing a feature matching on the current frame image and an adjacent frame image to generate partial map point(s); determining whether the current frame image is a key frame image; and optimizing a pose of the visual sensor corresponding to the key frame image through a joint objective function in response to the current frame image being the key frame image, where the joint objective function at least comprises a distance cost function of the ultra-wideband anchor and a visual residual cost function. Through the above-mentioned method, the accuracy of the positioning of the robot can be improved.

Abstract: The present disclosure provides a robot visual image feature extraction method as well as an apparatus and a robot using the same. The method includes: collecting image data through visual sensor(s) of the robot, and collecting angular velocity data through inertial sensor(s) of the robot; calculating a relative pose between image frames in the image data based on the angular velocity data; extracting feature points of the first image frame in the image data; calculating a projection position of each feature point of the k-th image frame in the k+1-th image frame based on a relative pose between the k-th image frame and the k+1-th image frame; and searching for each feature point in the projection position in the k+1-th image frame, and performing a synchronous positioning and a mapping based on the searched feature point. In this manner, the feature points of dynamic objects are eliminated.

Abstract: The present disclosure provides a virtual rail based cruise method as well as an apparatus and a robot using the same. The method includes: obtaining a digital map including a virtual rail; performing a path planning based on the virtual rail, a current position of the robot, and a cruise end point to obtain a cruise path; and obtaining parameter(s) of the robot by calculating through a preset path tracking algorithm based on the cruise path and the current position of the robot, and controlling the robot based on the control parameter(s). In this manner, the problems of the prior art that needs to lay a rail or set an auxiliary device which causes high cost and inconvenience in usage as well as the rail needs to be re-laid or the auxiliary device needs to be reinstalled when the route is to be changed can be solved.

Abstract: The present disclosure provides a visual assisted distance-based SLAM method for a mobile robot, and a mobile robot using the same. The method includes: obtaining distance data frames and visual data frames, each of the visual data frames corresponds to one of the distance data frames, performing a loop closure detection based on a current visual data frame in the visual data frames to find a matched visual data frame; calculating a relative pose between the current visual data frame and the matched visual data frame; and performing a loop closure optimization on pose data of one or more frames between the current visual data frame and the matched visual data frame based on the relative pose. In the above-mentioned manner, the present disclosure can improve the accuracy of mapping and/or realizing fast relocalization.

Abstract: The present disclosure provides a positioning method and a robot using the same. The method includes: obtaining, through the visual sensor, a current frame image; obtaining, through the ultra-wideband tag, distance of a robot from an ultra-wideband anchor; performing a feature matching on the current frame image and an adjacent frame image to generate partial map point(s); determining whether the current frame image is a key frame image; and optimizing a pose of the visual sensor corresponding to the key frame image through a joint objective function in response to the current frame image being the key frame image, where the joint objective function at least comprises a distance cost function of the ultra-wideband anchor and a visual residual cost function. Through the above-mentioned method, the accuracy of the positioning of the robot can be improved.