The embodiment of the invention discloses an obstacle judgment method, device and equipment and a storage medium, belongs to the technical field of vehicle driving, and can be applied to closed parks such as ports and logistics, or urban traffic or high-speed scenes and the like. The method comprises the steps that detection results of a laser radar and other target sensors on a driving space are fused in a deep learning mode so as to confirm an obstacle, in the implementation process, for laser point cloud obtained by the laser radar, whether the laser point cloud is a noisy point or not is judged from the point cloud level, and the detection accuracy of the laser point cloud is improved. The morphological characteristics of the driving space are determined from the global level, whether the point locations conform to the time sequence characteristics of the obstacles or not is judged, whether the sensing characteristics of the obstacles exist in the driving space or not is determined through a target sensor, and the driving space is determined by judging the dynamic characteristics of the driving space and at least one sensing characteristic. Whether there is an obstacle in the driving space is determined, and the accuracy of determining whether there is an obstacle in the driving space is improved.