Obstacle avoidance shortest path planning method based on Voronoi diagram
A shortest path and obstacle avoidance technology, applied in the field of path search, can solve the problems of high complexity of obstacle avoidance algorithms, achieve the effects of eliminating the possibility of collision, reducing algorithm complexity, and high reliability
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Publication Date
- 2021-09-07
Smart Images

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Abstract
Description
technical field
[0001] The invention relates to a Voronoi diagram-based shortest path planning method for obstacle avoidance, belonging to the technical field of path search. Background technique
[0002] With the development of technologies such as transportation and image processing at this stage, it is possible for cars and robots to automatically avoid obstacles and complete specific tasks. In order to achieve these goals and improve the productivity of human society, it is necessary to increase research on obstacle avoidance algorithms and path planning. Finding a mature and stable obstacle avoidance path planning algorithm has become the focus of people's attention at this stage.
[0003] At present, the popular path planning and obstacle avoidance algorithms mainly include A * Path planning algorithm, Dijkstra algorithm, RRT algorithm, artificial potential field method, etc. Although these classical algorithms can complete the task of path planning, it is difficult...
Examples
Embodiment Construction
[0038] Embodiments of the present invention will be described below in conjunction with the accompanying drawings.
[0039] Such as figure 1 As shown, the present invention is based on the obstacle avoidance shortest path planning method of Voronoi graph, and this method mainly comprises information collection, constructs Voronoi graph, Voronoi graph expands into simple polygon and obtains these four steps of the Euclidean shortest path of two points in simple polygon, Specific steps are as follows:
[0040] Step 1: Information collection.
[0041] Collect various information of obstacles through the camera, including the location of the starting point, the location of the destination point, the size of the obstacle and the location of the center point of the obstacle, and record these information; through the collection of information, the starting point, destination point and each obstacle can be obtained area of things.
[0042] Wherein, the parameter for recording the...