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: The present application discloses a location detection method, an apparatus, a device and a readable storage medium, which relate to vehicle infrastructure cooperation and automatic driving in intelligent transportation. A specific implementation solution is as follows: after acquiring an initial location of a target object, a millimeter wave radar projects the initial location onto an upper interface and a lower interface of a road section respectively to obtain a first projection location and a second projection location, and then determines an accurate location of the target object according to the first projection location and the second projection location. In this process, the initial location is mapped twice to make full use of an association relationship between an installation point and installation environment, so that the target location is no longer an approximate location, but a precise location obtained according to geometric projection, which improves accuracy of location detection.

Abstract: A radar calibration method, an electronic device, a roadside device and a storage medium are provided, which are related to the field of intelligent transportation. The method includes acquiring reference position information respectively corresponding to M reference objects collected by a radar in a coordinate system of the radar within a preset time length, wherein M is an integer greater than or equal to 1; determining N pieces of track information based on the reference position information respectively corresponding to the M reference objects, wherein N is an integer greater than or equal to 1; and determining a calibration parameter of the radar based on the N pieces of track information and relevant information of a high-precision map, wherein the calibration parameter of the radar is used for representing a transformation relation between the coordinate system of the radar and a target coordinate system.

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: The present application discloses a location detection method, an apparatus, a device and a readable storage medium, which relate to vehicle infrastructure cooperation and automatic driving in intelligent transportation. A specific implementation solution is as follows: after acquiring an initial location of a target object, a millimeter wave radar projects the initial location onto an upper interface and a lower interface of a road section respectively to obtain a first projection location and a second projection location, and then determines an accurate location of the target object according to the first projection location and the second projection location. In this process, the initial location is mapped twice to make full use of an association relationship between an installation point and installation environment, so that the target location is no longer an approximate location, but a precise location obtained according to geometric projection, which improves accuracy of location detection.