Abstract: A method for torque control of a drive motor during gear shifts is disclosed. The method includes sending a plurality of torque reduction commands to the motor control unit during the torque reduction phase of a gear shift. Each of the plurality of torque reduction commands has different step lengths. During the initial period of the torque reduction phase, the torque reduction slope gradually increases. And during the end period of the torque reduction phase, the torque reduction slope gradually decreases.

Abstract: A gear shifting method is for use in electric vehicles. The gear shifting method includes a speed adjustment process in which a speed adjustment request is issued to adjust the rotational speed of the drive motor of the electric vehicle, ensuring that the absolute rotational speed difference between the output-side engagement component and the input-side engagement component remains within the range of 10 rpm to 30 rpm when the input-side engagement component and the output-side engagement component of the transmission, driven by the drive motor, are disengaged. The method also includes an engagement process in which an engagement command is issued after the completion of the speed adjustment process, so as to engage the input-side engagement component with the output-side engagement component for gear engagement.

Abstract: A method for fusing road data to generate a map, includes: determining benchmark road data and at least one road data to be fused in a target road area; establishing, successively for each road data to be fused, a first road element association relationship between the first sub road data and the benchmark road data; establishing a second road element association relationship between the second sub road data and the benchmark road data according to the first road element association relationship; and fusing the benchmark road data and the road data to be fused according to the above association relationships to update the benchmark road data.

Abstract: The disclosure provides a 3-dimensional reconstruction method, an electronic device and a storage medium. The method includes: obtaining an image sequence pre-collected by a camera; obtaining nominal intrinsic parameters of the camera, and preset initial values of distortion coefficients of the camera, the camera being a camera for collecting the image sequence; calculating fluctuation ranges of the distortion coefficients; performing the 3D reconstruction on the image sequence based on the nominal intrinsic parameters, the initial values of the distortion coefficients, and the fluctuation ranges of the distortion coefficients; and during the 3D reconstruction, optimizing an obtained visual point cloud and a camera pose.

Abstract: The disclosure provides a 3-dimensional reconstruction method, an electronic device and a storage medium. The method includes: obtaining an image sequence pre-collected by a camera; obtaining nominal intrinsic parameters of the camera, and preset initial values of distortion coefficients of the camera, the camera being a camera for collecting the image sequence; calculating fluctuation ranges of the distortion coefficients; performing the 3D reconstruction on the image sequence based on the nominal intrinsic parameters, the initial values of the distortion coefficients, and the fluctuation ranges of the distortion coefficients; and during the 3D reconstruction, optimizing an obtained visual point cloud and a camera pose.