Abstract: The present application discloses a method for acquiring three-dimensional perception information based on external parameters of a roadside camera, and a roadside device. The specific implementation solution is as follows: acquiring a first matching point pair between an image captured by the first camera and an image captured by the second camera, and generating a first rotation matrix, where the first rotation matrix represents a rotation matrix of the first camera in a second camera coordinate system; generating a third rotation matrix according to the first rotation matrix and the second rotation matrix, where the second rotation matrix represents a rotation matrix of the second camera in a world coordinate system, and the third rotation matrix represents a rotation matrix of the first camera in the world coordinate system; generating three-dimensional perception information of the image captured by the first camera according to the third rotation matrix.

Abstract: A camera calibration method, an electronic device, a storage medium, and a road side device are provided. The method includes: determining an initial value of an internal parameter, an initial value of an external parameter, and an initial value of a distortion coefficient of the camera; determining a conversion relationship of a point in an image captured by the camera from a world coordinate system to a pixel coordinate system; projecting a plurality of feature points in a high-precision map of a first area onto the pixel coordinate system of a first image, of the first area, captured by the camera to obtain a plurality of projection points; and obtaining the internal parameter and the distortion coefficient of the camera through a least square method, based on coordinates of the plurality of feature points in the pixel coordinate system.

Abstract: A sensing method, an electronic device, and a storage medium are provided, which are related to a field of road cooperation of intelligent traffic. The specific implementation solution includes: acquiring a wide-angle image captured by a wide-angle camera; performing a de-distortion process on the wide-angle image, to obtain an image directly below the wide-angle camera; and performing a projective transformation on the wide-angle image to at least one viewing angle through a spherical projection model, to obtain at least one planar projection image, wherein each planar projection image corresponds to one viewing angle.

Abstract: The present application discloses a method for acquiring three-dimensional perception information based on external parameters of a roadside camera, and a roadside device. The specific implementation solution is as follows: acquiring a first matching point pair between an image captured by the first camera and an image captured by the second camera, and generating a first rotation matrix, where the first rotation matrix represents a rotation matrix of the first camera in a second camera coordinate system; generating a third rotation matrix according to the first rotation matrix and the second rotation matrix, where the second rotation matrix represents a rotation matrix of the second camera in a world coordinate system, and the third rotation matrix represents a rotation matrix of the first camera in the world coordinate system; generating three-dimensional perception information of the image captured by the first camera according to the third rotation matrix.