Abstract: Provided is an object-based short range measurement method, a short range measurement device, a short range measurement system, and a storage medium. The short range measurement method includes: identifying a target object, and acquiring border information about an ROI of the target object; acquiring two groups of geometric constraint points of the target object with respect to a left-eye camera and a right-eye camera respectively; acquiring pixel coordinates of each geometric constraint point and a border pixel size corresponding to the border information, and calculating a monocular distance estimation value of the target object; acquiring an overall disparity of the two groups of geometric constraint points, and calculating a binocular distance estimation value of the target object in accordance with the overall disparity; and acquiring a final measurement value in accordance with the monocular distance estimation value and the binocular distance estimation value.

Abstract: Provided is a road surface information-based imaging environment evaluation method, an imaging environment evaluation device, an imaging environment evaluation system, and a storage medium. The imaging environment evaluation method includes: acquiring a disparity information matrix and pixel coordinates of a vanishing point in the disparity information matrix; subjecting the disparity information matrix to matrix partition and projection in accordance with the pixel coordinates of the vanishing point so as to acquire a disparity projection image; acquiring a road surface model-based statistic model in accordance with the disparity projection image; and acquiring an evaluation result of a current imaging environment in accordance with a relationship between the statistic model and a predetermined threshold.

Abstract: Provided is a road surface information-based imaging environment evaluation method, an imaging environment evaluation device, an imaging environment evaluation system, and a storage medium. The imaging environment evaluation method includes: acquiring a disparity information matrix and pixel coordinates of a vanishing point in the disparity information matrix; subjecting the disparity information matrix to matrix partition and projection in accordance with the pixel coordinates of the vanishing point so as to acquire a disparity projection image; acquiring a road surface model-based statistic model in accordance with the disparity projection image; and acquiring an evaluation result of a current imaging environment in accordance with a relationship between the statistic model and a predetermined threshold.

Abstract: A message processing method and apparatus The method includes determining an importance level of each application on a terminal according to a historical use feature of the respective application, determining a notification manner of a notification message of each application according to the importance level for the respective application, and displaying, when receiving a notification message, the notification message according to the notification manner corresponding to the application to which the notification message belongs.

Abstract: An image edge extraction device for an automated driving system is capable of extracting an image edge in a rapid manner. The device employs an image edge extraction method that includes: acquiring a grayscale image of a target image; calculating an edge magnitude and an edge angle of the grayscale image, so as to generate an edge magnitude image and an edge angle image; detecting an edge peak of the edge magnitude image in accordance with the edge angle image, so as to acquire each edge point of the edge magnitude image and acquire an edge peak detection result; and performing double-thresholding segmentation on the edge peak detection result through a flooding method, so as to acquire an image edge of the target image.

Abstract: A method for building a camera imaging model includes: converting world coordinate values of a random point P into camera coordinate values of a target camera in accordance with a predetermined mode; converting the camera coordinate values into image coordinate values of the target camera; and converting the image coordinate values into digital image coordinate values and building the camera imaging model. The converting the image coordinate values into the digital image coordinate values includes performing a spatial sampling operation on the random point P, and adjusting coordinate values of an origin to image coordinate values through calculation. The method can be used in an automated driving system for a vehicle.

Abstract: The invention refers to a battery lock-up device, a new energy vehicle comprising the battery lock-up device, and a method for installing/detaching a power battery. The battery lock-up device comprises: a connection bracket having a first connection hole and a dual limited position structure; a housing structure having a second connection hole; a press plate and a nut, the press plate comprising a head portion and a pillar portion passing through the first connection hole and the second connection hole, the pillar portion being formed with a threaded portion for engaging with the nut and having a distal end adapted to mate with a rotational operation tool; and an anti-rotation locking member which locks the nut against the housing structure.

Abstract: The invention refers to a battery lock-up device, a new energy vehicle comprising the battery lock-up device, and a method for installing/detaching a power battery. The battery lock-up device comprises: a connection bracket having a first connection hole and a dual limited position structure; a housing structure having a second connection hole; a press plate and a nut, the press plate comprising a head portion and a pillar portion passing through the first connection hole and the second connection hole, the pillar portion being formed with a threaded portion for engaging with the nut and having a distal end adapted to mate with a rotational operation tool; and an anti-rotation locking member which locks the nut against the housing structure.

Abstract: The present disclosure provides a detection method and a detection device for a digital camera. The detection method includes: Step 1 of moving the to-be-detected auto-focusing lens assembly to a position spaced apart from a subject by a first distance; Step 2 of performing automatic exposure control until an average luminance value of a central region of an image is in a stable state; Step 3 of locking an automatic exposure control parameter; Step 4 of taking a first image; Step 5 of determining sizes of four corner regions in the first image; Step 6 of counting average luminance values of the four corner regions; and Step 7 of, in the case that the average luminance values of the four corner regions are identical to each other, determining that the to-be-detected auto-focusing lens assembly is installed at an accurate position. According to the present disclosure, it is able to detect where or not the auto-focusing lens assembly is installed at the accurate position in an automatic and efficient manner.

Abstract: The present disclosure provides a method and a device for building a camera imaging model, and an automated driving system for a vehicle, so as to describe a camera imaging system through exterior and interior parameters of a camera acquired after calibration. The method includes: converting world coordinate values of a random point P into camera coordinate values of a target camera in accordance with a predetermined mode; converting the camera coordinate values into image coordinate values of the target camera; and converting the image coordinate values into digital image coordinate values and building the camera imaging model. The converting the image coordinate values into the digital image coordinate values includes performing a spatial sampling operation on the random point P, and adjusting coordinate values of an origin to image coordinate values through calculation.

Abstract: An image edge extraction device for an automated driving system is capable of extracting an image edge in a rapid manner. The device employs an image edge extraction method that includes: acquiring a grayscale image of a target image; calculating an edge magnitude and an edge angle of the grayscale image, so as to generate an edge magnitude image and an edge angle image; detecting an edge peak of the edge magnitude image in accordance with the edge angle image, so as to acquire each edge point of the edge magnitude image and acquire an edge peak detection result; and performing double-thresholding segmentation on the edge peak detection result through a flooding method, so as to acquire an image edge of the target image.

Abstract: A message processing method and apparatus The method includes determining an importance level of each application on a terminal according to a historical use feature of the respective application, determining a notification manner of a notification message of each application according to the importance level for the respective application, and displaying, when receiving a notification message, the notification message according to the notification manner corresponding to the application to which the notification message belongs.

Abstract: The present disclosure provides a detection method and a detection device for a digital camera. The detection method includes: Step 1 of moving the to-be-detected auto-focusing lens assembly to a position spaced apart from a subject by a first distance; Step 2 of performing automatic exposure control until an average luminance value of a central region of an image is in a stable state; Step 3 of locking an automatic exposure control parameter; Step 4 of taking a first image; Step 5 of determining sizes of four corner regions in the first image; Step 6 of counting average luminance values of the four corner regions; and Step 7 of, in the case that the average luminance values of the four corner regions are identical to each other, determining that the to-be-detected auto-focusing lens assembly is installed at an accurate position. According to the present disclosure, it is able to detect where or not the auto-focusing lens assembly is installed at the accurate position in an automatic and efficient manner.

Abstract: A lane departure warning method includes steps of: collecting a road image by an imaging device; detecting a lane marking in accordance with the road image, so as to extract a position of the lane marking and an angle of the lane marking relative to a running direction of the vehicle; acquiring steering information and a movement speed of the vehicle by an OBD system; judging whether or not the vehicle is unconsciously running on the lane marking in accordance with the position of the lane marking, the angle of the lane marking relative to the running direction of the vehicle and the steering information of the vehicle; in the case that the vehicle is unconsciously running on the lane marking, recording a duration within which the vehicle is unconsciously running on the lane marking; and judging whether or not to send a lane departure warning to the vehicle.

Abstract: An information entering method for a terminal is provided. The terminal comprises a fingerprint sensor and a motion sensor. The terminal displays an interface, which comprises an information entering box. The terminal collects a first fingerprint using the fingerprint sensor. The terminal obtains motion data of the terminal collected by the motion sensor in a first time period after the terminal determines that the first fingerprint matches a preset fingerprint. The terminal obtains information corresponding to the first fingerprint and the motion data, or obtaining information corresponding to the motion data. The terminal enters-the obtained information into the information entering box.

Abstract: The present disclosure provides a disparity map-based obstacle detection method, a disparity map-based obstacle detection device, and a vehicle assistant driving system.

Abstract: An obstacle warning method includes the steps of: acquiring scenario images at a current sampling time and a previous sampling time, and a map about first relative distances between respective viewing points in a viewing field and a vehicle; acquiring a profile and marking information of an obstacle and a map about a second relative distance between the obstacle and the vehicle in accordance with the map about the first relative distances; calculating a map about a third relative distance between the obstacle and the vehicle at a previous sampling time in accordance with the map about the first relative distances at the previous sampling time, the profile and the marking information of the obstacle at the current sampling time and a motion vector of the obstacle from the current sampling time to the previous sampling time.

Abstract: The present disclosure provides a disparity map-based obstacle detection method, a disparity map-based obstacle detection device, and a vehicle assistant driving system.

Abstract: Embodiments of the present invention relate to method and apparatus for video anti-shaking. There is disclosed a method for use in a video anti-shaking, especially for real-time digital image stabilization, the method comprises: dividing at least one part of a current frame of a video into a plurality of regions (S301); performing a progressive local motion detection for each of the plurality of regions to determine a local motion vector for the region (S302, S303, S304); and determining a global motion vector for the current frame based on the local motion vectors for the plurality of regions (S305). There is also described a corresponding apparatus and user equipment. With embodiments of the present invention, the video anti-shaking processing can be done without any additional hardware. Moreover, embodiments of the present invention may quickly and effectively determine a motion vector and corresponding compensation.