Disclosed is an object dangerousness recognition method comprising steps of generating, based on an image captured by a stereo camera, a heterogeneous point cloud of an object in the image, each point in the heterogeneous point cloud having depth information and planar image information; determining, based on the depth information and the planar image information of each point in the heterogeneous point cloud, a solid shape of the object, and then, generating a first dangerousness parameter according to the solid shape; determining, based on the depth information and the planar image information of each point in the heterogeneous point cloud, a surface feature of the object, and then, generating a second dangerousness parameter according to the surface feature; and generating, based on the first and second dangerousness parameters, a comprehensive dangerousness parameter of the object.