Abstract: A display panel and a display device are provided, the display panel has a first surface on a surface of the display panel, and includes a driving circuit layer, a light source array, an image sensor array, and a black matrix layer. The light source array includes a plurality of light sources, the image sensor array includes a plurality of image sensors, the black matrix layer includes first light-transmitting openings and second light-transmitting openings. The driving circuit layer includes light-transmitting portions, and each of the first light-transmitting openings is arranged corresponding to at least one of the light-transmitting portions, and a plane size of the first light-transmitting opening in a direction parallel to the surface of the display panel is smaller than a plane size of the light-transmitting portion in the direction parallel to the surface of the display panel.

Abstract: A display panel and a display device are provided. The display panel includes a plurality of sub-pixels, each of the plurality of sub-pixels includes a light-emitting region, the plurality of sub-pixels include a plurality of first color sub-pixels, the first color sub-pixel includes a first light-emitting layer to emit a first color light. The plurality of first color sub-pixels include a plurality of first sub-pixel pairs, each of the plurality of first sub-pixel pairs includes two first color sub-pixels arranged along a first direction, first light-emitting layers of the two first color sub-pixels in each first sub-pixel pair are integrated, light-emitting regions of the two first color sub-pixels in at least one first sub-pixel pair are distributed asymmetrically with respect to any straight line extending along a second direction, and the second direction is perpendicular to the first direction.

Abstract: A display panel and a display device are provided, the display panel has a texture touch surface, and includes a driving circuit layer, a light source array, an image sensor array, and a black matrix layer. The light source array includes a plurality of light sources, the image sensor array includes a plurality of image sensors, the black matrix layer includes a plurality of first light-transmitting openings and a plurality of second light-transmitting openings. The driving circuit layer includes a plurality of light-transmitting portions, and each of the plurality of first light-transmitting openings is arranged corresponding to at least one of the plurality of light-transmitting portions, and in a first light-transmitting opening and a light-transmitting portion that are arranged correspondingly, a plane size of the first light-transmitting opening in a direction parallel to the surface of the display panel is smaller than a plane size of the light-transmitting portion.

Abstract: In one embodiment, a method includes, receiving a whole slide image and segmenting the whole slide image into multiple image tiles. The method includes generating a feature vector corresponding to each tile of the plurality of tiles, wherein the feature vector for each of the tiles represents an embedding for the tile. The method includes computing a weighting value corresponding to each embedding feature vector using an attention network. The method includes computing an image embedding based on the embedding feature vectors, wherein each embedding feature vector is weighted based on the weighting value corresponding to the embedding feature vector. The method includes generating a classification for the whole slide image based on the image embedding.

Abstract: A system for a vehicle includes a plurality of sensors onboard the vehicle and a controller. A first sensor of the plurality of sensors is configured to detect lane markings on a roadway. The controller is configured to store data from the plurality of sensors. In response to receiving an indication indicating a misdetection of lane markings on the roadway based on data received from the first sensor, the controller is configured to execute in parallel a plurality of procedures configured to detect a plurality of causes for the misdetection of lane markings, respectively, based on the stored data; isolate one of the causes as a root cause for the misdetection of lane markings; and provide a response for mitigating the misdetection of lane markings on the roadway based on the root cause for the misdetection of lane markings.

Abstract: The present disclosure discloses a simple preparation method of green acid-modified cyclodextrin, belonging to the field of cyclodextrin modification. Cyclodextrin and succinic acid are mutually modified by an esterification reaction in the presence of catalyst, and acid-modified cyclodextrin with different modification degrees is obtained by controlling reaction time at a high temperature or under a microwave action. The prepared modified cyclodextrin does not involve the use of toxic and harmful reagents, the modification reaction is simple, green and controllable, and the loading capacity of the modified cyclodextrin to guest molecules is remarkably improved compared with the loading capacity of the original cyclodextrin, so that the modified cyclodextrin has great application potential in the health fields such as food, medicines, and cosmetics.

Abstract: A perception system includes a perception module configured to capture first sensor data that includes data from at least one of an external sensor and a camera captured in a first period, a prediction module configured to receive the first sensor data, generate, based on the first sensor data, predicted sensor data for a second period subsequent to the first period, receive second sensor data for the second period, and output results of a comparison between the predicted sensor data and the second sensor data, and a diagnostic module configured to selectively identify a fault in the perception system based on the results of the comparison.

Abstract: A vehicle, and a system and method of navigating the vehicle. The system includes a camera and a processor. The camera obtains an image of a road upon which the vehicle is moving. The processor is configured to extract a feature of the road from the image, perform a lane detection algorithm to detect a set of lane markers in the road using the image and the feature, and move the vehicle along the road by tracking the set of lane markers.

Abstract: A display substrate and a display device are disclosed, the display substrate has a plurality of sub-pixels arranged in an array, and includes a base substrate, a driving circuit layer, a light-emitting device layer, and a black matrix layer. Each sub-pixel includes a pixel driving circuit in the driving circuit layer and a light-emitting device in the light-emitting device layer, and the black matrix layer includes a plurality of first light-transmitting openings respectively exposing light-emitting devices (EM) of the plurality of sub-pixels, and includes a plurality of second light-transmitting openings respectively between the plurality of first light-transmitting openings. The driving circuit layer includes a plurality of light-transmitting portions, and each of the plurality of second light-transmitting openings is provided corresponding to at least one of the plurality of light-transmitting portions for transmitting light in a predetermined angle range with the surface of the display substrate.

Abstract: An autonomous driving system for an autonomous vehicle includes an automated driving controller wirelessly connected to a towing taxi. The automated driving controller determines the autonomous driving system is non-functional. In response to determining the autonomous driving system is non-functional, the automated driving controller generates a notification indicating the autonomous driving system is non-functional. The automated driving controller receives, from the towing taxi, a current data string including a data point corresponding to a current point in time in combination with a predicted data point for each of one or more predicted points of time in the future. The current data string is compared with a previous data string recorded at a previous point in time. In response to determining the current data string matches the previous data string, the automated driving controller determines one or more driving maneuvers for the autonomous vehicle based on the current data string.

Abstract: A display substrate and a display device are disclosed, the display substrate has a plurality of sub-pixels and includes a base substrate, a driving circuit layer, a light-emitting device layer, and a black matrix layer, the driving circuit layer includes a first signal line and a second signal line arranged parallel to each other and arranged periodically, the black matrix layer includes a plurality of first light-transmitting openings and a plurality of second light-transmitting openings, the plurality of second light-transmitting openings are respectively arranged between the plurality of first light-transmitting openings and orthographic projections of the plurality of second light-transmitting openings (1132) on the base substrate (-1-04)-are respectively between an orthographic projection of one first signal line {&4-on the base substrate 0-04-)-and an orthographic projection of one second signal line (82)-closest to the one first signal line (84)-on the base substrate

Abstract: A vehicle, a system and a method of navigating the vehicle. The system includes a camera conveyed by the vehicle and a processor. The camera is configured to obtain an original image data file of an environment. The processor is configured to reduce the original image data file to obtain a reduced image data file and determine an alignment between a camera-centered coordinate system and a ground coordinate system using the reduced image data file.

Abstract: A pixel arrangement structure includes: first sub-pixels, second sub-pixels and third sub-pixels, being not overlapped but being spaced apart. The third sub-pixel includes a first edge facing the first sub-pixel, the first sub-pixel includes a second edge facing the third sub-pixel, the third sub-pixel includes a third edge facing the second sub-pixel, and the second sub-pixel includes a fourth edge facing the third sub-pixel, and shapes of the first sub-pixel and the second sub-pixel are circles, the first edge and the second edge are curved edges with a same curvature, the third edge and the fourth edge are curved edges with a same curvature; or shapes of the first sub-pixel and the second sub-pixel are octagons, at least part of the first edge is parallel to at least part of the second edge, at least part of the third edge is parallel to at least part of the fourth edge.

Abstract: A display panel and a display device are provided, the display panel has a texture touch surface, and includes a driving circuit layer, a light source array, an image sensor array, and a black matrix layer. The light source array includes a plurality of light sources, the image sensor array includes a plurality of image sensors, the black matrix layer includes a plurality of first light-transmitting openings and a plurality of second light-transmitting openings. The driving circuit layer includes a plurality of light-transmitting portions, and each of the plurality of first light-transmitting openings is arranged corresponding to at least one of the plurality of light-transmitting portions, and in a first light-transmitting opening and a light-transmitting portion that are arranged correspondingly, a plane size of the first light-transmitting opening in a direction parallel to the surface of the display panel is smaller than a plane size of the light-transmitting portion.

Abstract: A LIDAR-to-vehicle alignment system includes a sensor data collection module configured to collect points of data provided based on outputs of one or more LIDAR sensors and an alignment module configured to identify lane markings based on the points of data, determine a lane marking direction based on the identified lane markings, calculate a yaw of a LIDAR coordinate system relative to a vehicle coordinate system based on the determined lane marking direction, identify a ground plane based on the points of data, calculate a roll and pitch of the LIDAR coordinate system relative to the vehicle coordinate system based on the identified ground plane, and update a transformation matrix based on the calculated yaw, roll, and pitch of the LIDAR coordinate system.

Abstract: Systems and methods for a vehicle are provided. In one embodiment, a method includes: receiving image data defining a plurality of images associated with an environment of the vehicle; determining, by a processor, feature points within at least one image of the plurality of images; selecting, by the processor, a subset of the feature points as ground points based on a fixed two dimensional image road mask and a three dimensional region; determining, by the processor, a ground plane based on the subset of feature points; determining, by the processor, a ground normal vector from the ground plane; determining, by the processor, a camera to ground alignment value based on the ground normal vector; and generating, by the processor, second image data based on the camera to ground alignment value.

Abstract: Methods and systems for a vehicle are provided. In one embodiment, the method includes: receiving image data defining a plurality of images associated with an environment of the vehicle; determining, by a processor, feature points within at least one image of the plurality of images; selecting, by the processor, a subset of the feature points as ground points; determining, by the processor, a ground plane based on the subset of feature points; determining, by the processor, a ground normal vector from the ground plane; determining, by the processor, the ground normal vector based on a sliding widow method; determining, by the processor, a camera to ground alignment value based on the ground normal vector; and generating, by the processor, second image data based on the camera to ground alignment value.

Abstract: Systems and methods for a vehicle are provided. In one embodiment, a method includes: receiving image data defining a plurality of images associated with an environment of the vehicle; receiving vehicle data indicating a velocity of the vehicle, wherein the vehicle data is associated with the image data; determining, by a processor, feature points within at least one image based on the vehicle data and a three dimensional projection method; selecting, by the processor, a subset of the feature points as ground points; determining, by the processor, a ground plane based on the subset of feature points; determining, by the processor, a ground normal vector from the ground plane; determining, by the processor, a camera to ground alignment value based on the ground normal vector; and generating, by the processor, second image data based on the camera to ground alignment value.

Abstract: A pixel arrangement structure, an organic light emitting diode display panel, a display device, and a mask plate assembly are disclosed. The pixel arrangement structure includes a plurality of first sub-pixels, a plurality of second sub-pixels, a plurality of third sub-pixels. The positions of the sub-pixels do not overlap each other. One of the first sub-pixels is located at the center position of a first virtual rectangle. Four of the first sub-pixels are located at four vertex angle positions of the first virtual rectangle, respectively. Four of the second sub-pixels are located at the center positions of four sides of the first virtual rectangle, respectively. The first virtual rectangle is divided into four second virtual rectangles. The inside of each of the four second virtual rectangles comprises one third sub-pixel of the third sub-pixels.

Abstract: The present disclosure provides a display substrate, a method for preparing the same, and a display device. The display substrate includes a planarization layer located on a base substrate and a first electrode layer located on the planarization layer, a side of the planarization layer away from the base substrate includes a scattering structure, the first electrode layer is located on the scattering structure, and a thickness of the first electrode layer is substantially identical.