32results about How to "Improve pathfinding efficiency" patented technology

The present invention provides a map pathfinding method, dividing plane map into one or more identical area, generating waypoint on area border; when finding path, processing path find based on the area to acquire area path; then generating final path based on the triangular facet Path finding according to the acquired area path. The invention also provides a mapping road finding system, adoptingmethod and system of the invention not only saves space occupation, but also improves road finding efficiency, also suitable for process of all kinds of maps.

The embodiment of the invention provides a map way-finding method and device based on secondary search. The method comprises the following steps: determining a start node and a termination node of way-finding; performing sub-optimal search path finding by adopting a preset first precedence function to obtain a first path-finding path; determining at least one target node based on the distances from the nodes in the first way-finding path to a target straight line, the distance from the target node to the target straight line being a maximum value in the distances from the nodes to the target straight line in a preset range; performing path division according to the start node, the target node and the termination node to obtain a plurality of segmented sub-paths; and carrying out sub-optimal search path finding by adopting a preset second optimization function to obtain a second path-finding path of each segmented sub-path, and sequentially splicing the second path-finding paths to obtain a final path-finding path. On the premise that high path finding quality is guaranteed, the number of nodes needing to be searched in path finding are reduced, and path finding efficiency is improved.

The invention relates to a path planning method based on concentric circle sampling to guide the RRT algorithm, comprising the following steps: 1. Taking the starting point of path planning as the root node of a random tree; 2. Generating random points by concentric circle sampling; 3. Judging random Whether the point is within the range of the map, if so, go to step 4, otherwise return to step 2 to regenerate a random point; 4. Find the node closest to the random point as a neighboring point; 5. Extend the generation from the neighboring point to the random point with a step size New node; 6. Judging whether there is an obstacle between the new node and the adjacent point, if yes, return to step 2 for resampling, otherwise add the new node to the random tree; 7. Determine whether the new node is within the target point area, if yes, add The target point is added to the random tree, and the path point of the planned path is obtained by backtracking from the target point to the root node, otherwise, return to step 2; 8. Fit the path points to obtain the final path. This method is beneficial to improve the pathfinding efficiency and quickly find the planned path.

The invention discloses a way finding method. The way finding method is characterized by comprising the steps that geometric figures used for representing blocking features are configured to characters with blocking features in advance in a virtual application scenario achieving network element connection through a navigation model, wherein the positions of the geometric figures and the positions of the characters are the same; when linear way finding is needed, a navigation model algorithm is used for way finding, and if the way finding result is pass allowing, whether the geometric figure of any character exists on a path where way finding is conducted at present or not is judged, and whether the path can be passed or not is determined according to the judgment result. By means of the method, the way finding efficiency can be improved, and the character artificial intelligence needs can be met.