Tencent Technology (shenzhen) Company Limited

Tencent Technology Company Limited

Mao Shu

Si Hong Chen

Si Chen

The present disclosure describes methods, device, and storage medium for obtaining lane line data of a road. The method includes obtaining and dividing, by a device, road-image data of a road into at least one segment. The device includes a memory storing instructions and a processor in communication with the memory. The method includes processing, by the device, each segment to obtain a two-dimensional grayscale image of each segment; extracting, by the device using a pre-trained deep neural network model, a lane line area and a lane line attribute in each two-dimensional grayscale image, to obtain a lane line area image of each segment; and splicing, by the device, each lane line area image based on corresponding road-image data and the lane line attribute, to obtain lane line data of the road.

Lane line data processing method and apparatus, computer device, and storage medium

A ground mark determining method and apparatus are provided. The method includes: obtaining, by the computer device, a point cloud grayscale image, the point cloud grayscale image comprising a road segment map; obtaining, by the computer device, ground mark information from the road segment map and running a mark-extraction network model to extract ground marks in the road segment map, the ground mark information comprising information about the ground marks extracted by the mark-extraction network model, and the ground marks indicating driving information marked on a road segment surface; and determining, by the computer device, a target ground mark from the ground marks according to the ground mark information.

Ground mark extraction method, model training METHOD, device and storage medium

This application discloses a map element extraction method and apparatus, and a server. The map element extraction method includes obtaining a laser point cloud and an image of a target scene, the target scene including a map element; performing registration between the laser point cloud and the image to obtain a depth map of the image; performing image segmentation on the depth map of the image to obtain a segmented image of the map element in the depth map; and converting a two-dimensional location of the segmented image in the depth map to a three-dimensional location of the map element in the target scene according to a registration relationship between the laser point cloud and the image.

Map element extraction method and apparatus, and server

An image processing method is provided for an electronic device. The method includes obtaining a target image comprising a target object; recognizing target two-dimensional location coordinates of the target object in the target image and a target attribute type corresponding to the target object; and obtaining a target three-dimensional point cloud associated with the target image. The method also include, according to a mapping relationship between the target three-dimensional point cloud and all pixels in the target image, obtaining three-dimensional location coordinates corresponding to pixels in the target two-dimensional location coordinates, as target three-dimensional location coordinates; determining a setting region in three-dimensional map data according to the target three-dimensional location coordinates; and setting the target attribute type for the target object in the setting region. Electronic device and non-transitory computer-readable storage medium counterparts are also contemplated.

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Shenzhen, China

Mao Shu