Abstract: A pixel having an organic light emitting diode (OLED) and method for fabricating the pixel is provided. A planarization dielectric layer is provided between a thin-film transistor (TFT) based backplane and OLED layers. A through via between the TFT backplane and the OLED layers forms a sidewall angle of less than 90 degrees to the TFT backplane. The via area and edges of an OLED bottom electrode pattern may be covered with a dielectric cap.

Abstract: A stage for cutting process and cutting method thereof, processing apparatus are disclosed. The stage includes a support substrate and a driving unit disposed on the support substrate. The driving unit is configured to drive the support substrate to rotate around a first direction in a board surface of the support substrate so as to remove foreign matters on the support substrate. The driving unit disposed in the stage can drive the rotation of the stage to allow foreign matters on the stage to automatically slide down.

Abstract: A pixel having an organic light emitting diode (OLED) and method for fabricating the pixel is provided. A planarization dielectric layer is provided between a thin-film transistor (TFT) based backplane and OLED layers. A through via between the TFT backplane and the OLED layers forms a sidewall angle of less than 90 degrees to the TFT backplane. The via area and edges of an OLED bottom electrode pattern may be covered with a dielectric cap.

Abstract: Provided are a vehicle positioning method, an apparatus and a device. The method includes: sending an auxiliary positioning request to an auxiliary positioning device within a preset distance range; receiving an auxiliary positioning message returned by the auxiliary positioning device with respect to the auxiliary positioning request, where the auxiliary positioning message carries location information of the auxiliary positioning device; and determining a current location of a current vehicle according to the location information of the auxiliary positioning device and distance information between the current vehicle and the auxiliary positioning device. The method of the present disclosure can implement vehicle positioning without a satellite positioning signal. The vehicle positioning can be performed when the vehicle is blocked by an obstacle such as a tunnel, a building and the satellite positioning signal cannot be received, improving the accuracy of the vehicle positioning.

Abstract: Provided are a method, an apparatus and a device for obstacle in lane warning. The method includes receiving information of an obstacle in a front lane of a first vehicle, where the first vehicle is in front of a second vehicle; and performing an obstacle warning on the second vehicle according to the information of the obstacle. The second vehicle receives the information of the obstacle, and performs the obstacle warning on the second vehicle according to the information of the obstacle to prevent the second vehicle from failing to detect the obstacle in a blind area when the sight of the second vehicle is blocked by the first vehicle; the front vehicle notifies the subsequent vehicle of the obstacle in the lane immediately, which facilitates the driver to handle the situation in advance, improves the vehicle's ability to sense the obstacle and prevents the collision from occurring.

Abstract: A test position alignment and calibration device comprising a horizontal moving platform and a vertical moving platform driving an aligned device and an image capture beside the aligned device to move. While the calibration probe contacts the aligned device, an electric loop is formed among a calibration probe, a passive element, a light-emitting element, and the aligned device, and the light-emitting element is lighted up, and an actual test position is obtained. The horizontal moving platform moves and aligns the image capture device to the calibration probe to obtain an image detection position. The difference between the image detection position and the actual test position is calculated to obtain an accurate displacement distance, which is the actual distance between the aligned device and the image capture device and will be used in the succeeding tests for achieving a higher accuracy in positioning all the elements.

Abstract: A bearing flatform, a bearing device and a laser cutting apparatus. The bearing flatform comprises a bearing plate and a porous film arranged on a hearing surface of the bearing plate. A plurality of first through holes penetrating through the bearing plate are formed in the bearing plate and configured to be connected with a pumping hole of an air pump.

Abstract: The present disclosure describes an intelligent roadside unit and a control method thereof, comprising: a circular camera array, including a plurality of cameras for capturing images in different road directions respectively; a circular radar array, including a plurality of radars for detecting obstacle information in different road directions respectively; and a controller configured to determine whether a vehicle is approaching according to the obstacle information detected by the radars, to turn on a camera corresponding to the radar that has detected the approaching of the vehicle to capture an image, and to control the cameras corresponding to the radars that have not detected the approaching of the vehicle to be in a standby state.

Abstract: The present disclosure provides an intelligent roadside unit. The intelligent roadside unit includes: a radar, configured to detect an obstacle within a first preset range of the intelligent roadside unit; a camera, configured to capture an image within a second preset range of the intelligent roadside unit; a radar-signal processor, coupled to the radar and configured to generate an obstacle detection signal according to obstacle information detected by the radar; an image-signal processor, coupled to the camera and configured to generate an image detection signal according to the image captured by the camera; and a general control processor, coupled to the radar-signal processor and the image-signal processor and generating a point cloud image according to the obstacle detection signal and the image detection signal.

Abstract: The present disclosure proposes an intelligent road side unit and a regulation method thereof. The intelligent road side unit comprises: traffic lights; a first camera configured to acquire a first image and having a first focal length; a second camera configured to acquire a second image and having a second focal length, the first focal length being greater than the second focal length; and a controller, configured to acquire anticipated arriving traffic flow information according to the first image, to acquire current traffic flow information according to the second image, and to control the traffic lights according to the anticipated arriving traffic flow information and the current traffic flow information.

Abstract: Provided is a smart roadside unit, including: a high-bright camera assembly configured to capture a high-bright image; a low-bright camera assembly configured to capture a low-bright image, in which the high-bright camera assembly and the low-bright camera assembly have a substantially same shooting view; and a controller configured to extract vehicle information from the high-bright image and the low-bright image.

Abstract: Provided are system and method for controlling traffic lights. The system includes a traffic light device and a smart roadside device. The smart roadside device includes a roadside sensing module including: a camera assembly configured to collect information of an image for traffic lights of the traffic light device and a radar configured to acquire first surrounding environment information of a road junction monitored by the smart roadside device, and a roadside processing module configured to determine traffic flow information of a red light lane according to the first surrounding environment information and the information of the image for the traffic lights, determine a duration of a green light according to the traffic flow information, and control a duration displaying the green light in a next cycle of the traffic light device according to the duration of the green light.

Abstract: Provided is a smart roadside unit, including a light intensity sensor configured to generate current light intensity information; a high-bright camera assembly configured to capture a high-bright image; a low-bright camera assembly configured to capture a low-bright image; and a controller configured to turn on the high-bright camera assembly to shoot when the current light intensity is greater than a first light intensity threshold, turn on the low-bright camera assembly to shoot when the current light intensity is less than a second light intensity threshold, and extract vehicle information from the high-bright image or the low-bright image, in which the second light intensity threshold is smaller than the first light intensity threshold.

Abstract: The present disclosure proposes an intelligent roadside unit and a control method. The intelligent roadside unit includes: a circular track; a camera disposed on the circular track and movable along the circular track; a driver for driving the camera; a circular radar array, wherein the circular radar array includes a plurality of radars detecting obstacle information in different directions of a road respectively; and a controller configured to judge whether there is a vehicle approaching and to acquire an approach direction of the vehicle according to the obstacle information detected by the radar, and to control the driver to drive the camera toward the approach direction for shooting.

Abstract: The present disclosure provides a roadside sensing system based on vehicle infrastructure cooperation and a method for controlling a vehicle thereof. The system includes a target vehicle and an intelligent roadside device provided on a road segment divided by a preset distance. The intelligent roadside device comprises a roadside sensing module, a roadside processing module, and a roadside communication module. The roadside sensing module comprises a sensor configured to acquire surrounding environment information of the target vehicle. The roadside processing module is configured to perform fusion processing on the surrounding environment information acquired to form road environment information. The roadside communication module is configured to send the road environment information to the target vehicle.

Abstract: The present disclosure provides an intelligent roadside unit. The intelligent roadside unit includes: a radar configured to detect an obstacle within a first preset range of the intelligent roadside unit; a camera configured to capture an image of a second preset range of the intelligent roadside unit; a master processor coupled to the radar and the camera, and configured to generate a point cloud image according to information on the obstacle detected by the radar and the image detected by the camera; and a slave processor coupled to the radar and the camera, and configured to generate a point cloud image according to the information on the obstacle detected by the radar and the image detected by the camera, in which the slave processor checks the master processor, and when the original master processor breaks down, it is switched from the master processor to the slave processor.

Abstract: The present disclosure proposes a method and an apparatus for upgrading a map of a self-driving vehicle. The method includes: obtaining a target position and a current position of the self-driving vehicle; obtaining a navigation path of the self-driving vehicle according to the target position and the current position; obtaining information of a map required by the navigation path, the information comprising a serial number of the map required and a version number of the map required; determining whether the map required is stored locally in the self-driving vehicle according to the serial number of the map required; determining whether a version number of the stored map is consistent with the version number of the map required if yes; and downloading a corresponding map from a server if not.

Abstract: The present disclosure provides a high-precision map generation method, device, and computer device. The method includes: obtaining a local high-precision map in an autonomous vehicle and a destination of the autonomous vehicle, determining whether there is a high-precision map corresponding to a front road section according to the destination and the local high-precision map, and when there is no high-precision map corresponding to the front road section, prompting the driver to switch to a manual driving mode, and after the autonomous vehicle enters the front road section, collecting map information by a radar and a camera of the autonomous vehicle, and generating the high-precision map according to the map information.

Abstract: A pixel having an organic light emitting diode (OLED) and method for fabricating the pixel is provided. A planarization dielectric layer is provided between a thin-film transistor (TFT) based backplane and OLED layers. A through via between the TFT backplane and the OLED layers forms a sidewall angle of less than 90 degrees to the TFT backplane. The via area and edges of an OLED bottom electrode pattern may be covered with a dielectric cap.

Abstract: A pixel having an organic light emitting diode (OLED) and method for fabricating the pixel is provided. A planarization dielectric layer is provided between a thin-film transistor (TFT) based backplane and OLED layers. A through via between the TFT backplane and the OLED layers forms a sidewall angle of less than 90 degrees to the TFT backplane. The via area and edges of an OLED bottom electrode pattern may be covered with a dielectric cap.