Abstract: A method and an apparatus for detecting a parking place and a direction angle of the parking place, a device, a vehicle, and a computer readable storage medium are provided. The method includes: obtaining a to-be-detected image; identifying corner points of a parking space in the to-be-detected image and cropping the to-be-detected image based on the corner points of the parking space to obtain a candidate parking space image; and performing detection by using a pre-trained parking space detection model based on the candidate parking space image to obtain a parking space detection result, where the parking space detection result indicates whether the candidate parking space image represents a real parking space, and in a case that the candidate parking space image represents the real parking space, the parking space detection result further includes a direction angle of the parking space.

Abstract: The present disclosure relates to the field of artificial honeycombs, in particular to an artificial nest for solitary bees and an application method of the artificial nest. The artificial nest comprises a main enclosure tube, hanging rings, a plurality of trapping hollow tubes and tightening mechanisms used for clamping the trapping hollow tubes. The hanging rings are arranged at an outer sidewall of the main enclosure tube. The tightening mechanisms are annularly arranged at an inner sidewall of the main enclosure tube, and the trapping hollow tubes are fixed in a ring of each tightening mechanism in an axis direction of the main enclosure tube. Each tightening mechanism comprises a connecting steel wire and fastening springs. The sidewall of the main enclosure tube is provided with fixing holes for fixing the tightening mechanisms.

Abstract: The present invention discloses a brain image classification method based on discretized data, includes: dividing an original brain image dataset into an original training set, an original validation set, and an original test set; constructing a multi-objective function including an information loss before and after dataset discretization, a classification error rate, and a discrete data complexity, and obtaining a discretization scheme; discretizing the original training set, the original validation set and the original test set according to the discretization scheme; performing feature selection on a discrete training set and a discrete validation set, and performing feature reduction on the discrete training set, and a discrete test set using the feature selection result to obtain a reduced discrete training set and a reduced discrete test set; and training a classifier using the reduced discrete training set to classify the reduced discrete test set, to obtain a brain image data classification result.

Abstract: A method and an apparatus for detecting a parking place and a direction angle of the parking place, a device, a vehicle, and a computer readable storage medium are provided. The method includes: obtaining a to-be-detected image; identifying corner points of a parking space in the to-be-detected image and cropping the to-be-detected image based on the corner points of the parking space to obtain a candidate parking space image; and performing detection by using a pre-trained parking space detection model based on the candidate parking space image to obtain a parking space detection result, where the parking space detection result indicates whether the candidate parking space image represents a real parking space, and in a case that the candidate parking space image represents the real parking space, the parking space detection result further includes a direction angle of the parking space.

Abstract: The present disclosure relates to the field of artificial honeycombs, in particular to an artificial nest for solitary bees and an application method of the artificial nest. The artificial nest comprises a main enclosure tube, hanging rings, a plurality of trapping hollow tubes and tightening mechanisms used for clamping the trapping hollow tubes. The hanging rings are arranged at an outer sidewall of the main enclosure tube. The tightening mechanisms are annularly arranged at an inner sidewall of the main enclosure tube, and the trapping hollow tubes are fixed in a ring of each tightening mechanism in an axis direction of the main enclosure tube. Each tightening mechanism comprises a connecting steel wire and fastening springs. The sidewall of the main enclosure tube is provided with fixing holes for fixing the tightening mechanisms.

Abstract: A method and an apparatus for detecting a parking space, a device and a computer-readable storage medium are provided. The method includes: acquiring a top-view image of a scene; performing a learning process on the top-view image to obtain a center-point probability map and four inner-angular-point probability maps, and the center-point probability map includes a predicted probability of each pixel in the top-view image being a center point, each of the inner-angular-point probability maps includes a predicted probability of each pixel in the top-view image being an inner angular point, and the four inner-angular-point probability maps correspond to different types of inner angular points of a parking space; and obtaining a parking space detection result for the top-view image based on the center-point probability map and four inner-angular-point probability maps.

Abstract: A method and an apparatus for vehicle position detection are provided. An image collecting device installed on a target vehicle is used to capture a region in front of the target vehicle at a current moment under a fixed viewing angle, to acquire a real image. Then, a virtual image under a preset viewing angle is generated based on the real image. The virtual image includes effective features of a side vehicle, and the side vehicle is accurately recognized based on the effective features, thereby determining position information of the side vehicle, so as to prevent accidents such as a collision between the target vehicle and the side vehicle.

Abstract: A method and an apparatus for vehicle position detection are provided. An image collecting device installed on a target vehicle is used to capture a region in front of the target vehicle at a current moment under a fixed viewing angle, to acquire a real image. Then, a virtual image under a preset viewing angle is generated based on the real image. The virtual image includes effective features of a side vehicle, and the side vehicle is accurately recognized based on the effective features, thereby determining position information of the side vehicle, so as to prevent accidents such as a collision between the target vehicle and the side vehicle.

Abstract: A paint stripper composition includes from about 70 to about 76 percent by volume of methylene chloride, from about 10 to about 14 percent by volume of isopropanol, from about 5 to about 8 percent by volume of formic acid, from about 1.5 to about 2.5 percent by volume of OP-10, from about 1 to about 2.5 percent by volume of phenol, and from about 2 to about 4 percent by volume of ozocerite, based upon 100 percent by volume of the total composition.

Abstract: A paint stripper composition includes from about 70 to about 76 percent by volume of methylene chloride, from about 10 to about 14 percent by volume of isopropanol, from about 5 to about 8 percent by volume of formic acid, from about 1.5 to about 2.5 percent by volume of OP-10, from about 1 to about 2.5 percent by volume of phenol, and from about 2 to about 4 percent by volume of ozocerite, based upon 100 percent by volume of the total composition.