The invention relates to the field of path planning, in particular to a cross-floor memory
path reconstruction method, device and equipment and a vehicle. According to the embodiment of the invention, the original path points are firstly densified, so that the path is finer, the actual
road condition can be better reflected, and the inaccuracy caused by the sparse path is avoided. And secondly, the
point cloud sets are matched and divided in combination with the lane line
point cloud data, so that the lane line information of the vehicle at different positions can be more accurately determined, a more accurate data basis is provided for
path reconstruction, and meanwhile, deviation caused by sensor errors or
obstacle avoidance and the like can be corrected. And finally,
path reconstruction is performed based on lane line segmentation, and a non-optimal part in an original memory path can be removed, so that the driving path quality and the parking effect during actual parking are improved, and the problems of poor experience, low efficiency, parking failure and the like caused by the non-optimal memory path are avoided.