The present invention relates to a method for implementing velocity
feature fusion for a visual target and a
millimeter-
wave radar point cloud. The method comprises: within the same frame period, acquiring host vehicle state information,
millimeter-
wave radar point cloud data, and target information that is output by a
visual detection network model; calculating an actual
radial velocity of a
point cloud to the ground on the basis of the host vehicle state information; associating the
millimeter-
wave radar point
cloud data with a visual target; using height information and dynamic and static information of the visual target to perform secondary non-target point cloud screening on an initially selected point cloud cluster, so as to acquire a final associated point cloud cluster; performing preliminary
verification on the currently acquired visual target, and determining whether a
velocity vector of the target is accurate; and if the
velocity vector is not accurate, on the basis of a training result obtained by the
visual detection network model, determining the accuracy degrees of the current target velocity direction and magnitude, and using a target point cloud cluster to calculate a target velocity magnitude and an
angular velocity magnitude, so as to implement fusion
processing of velocity features.