CN106708043B - A method of improving Visual Graph under complicated map - Google Patents

A method of improving Visual Graph under complicated map Download PDF

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CN106708043B
CN106708043B CN201611144910.2A CN201611144910A CN106708043B CN 106708043 B CN106708043 B CN 106708043B CN 201611144910 A CN201611144910 A CN 201611144910A CN 106708043 B CN106708043 B CN 106708043B
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陈智鑫
林梦香
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Abstract

The method that the invention discloses a kind of to improve Visual Graph under complicated map, is allowed to be applicable not only to the map of convex polygonal obstacle, is also applied for the SLAM map of general complicated landform.Visual Graph is the path planning algorithm proposed in 1979, simulates light along this characteristic of straightline propagation, the angle point of beginning and end and convex polygonal obstacle is connected, constitutes path, but be also only limitted to convex polygonal obstacle.The present invention continues to use main thought, i.e. light is along straightline propagation, emit light from the beginning and end in path, by the reflection of barrier, the path of a connection source and terminal, the function of realizing route planning are finally obtained using optical path as carrier, rather than simply use barrier vertex line as carrier, it is also just not limited only to the barrier of convex polygon in this way, general complicated landform is all suitable for.

Description

A method of improving Visual Graph under complicated map
Technical field
It is specifically a kind of for ground the present invention relates to a kind of path planning algorithm in intelligent robot motion planning field The improvement of Visual Graph algorithm, makes it can not only be applied to the map of convex polygonal obstacle under the map of shape complexity Under, it can also be used under complicated map.
Background technique
Instantly the robot system research for capableing of independent navigation avoidance is abnormal burning hot, and there are many products applications In practice.Such as the service robot in restaurant, just possess obstacle recognition, the ability of path planning;For another example family's sweeping robot, Also possess the ability that displacement path is planned in clearing.In terms of public transportation, the application of unmanned plane express delivery delivery That has carried out is like a raging fire, path planning must be also used in express delivery delivery, so that unmanned plane can be in avoiding obstacles Under the premise of arrived at the destination with shortest path and complete to deliver.
Path planning refers to the ability how robot decision moves to another point from the certain point of map.It requires first Robot can obtain the cartographic information of current environment, and can position itself current position, then can just carry out path rule Draw, position and build figure algorithm it is most practical at present be exactly SLAM algorithm.There are many path planning algorithms at present, such as RRT, PRM Deng.
Visual Graph is also common path planning algorithm, but it has stringent limitation using to map, it is desirable that If the barrier convex polygon of map, and the apex coordinate of each barrier is it is known that then connect the top of each barrier Point, and using these lines as carrier, generate path.But in practical application scene, landform be it is sufficiently complex, in map Barrier shape is irregular, and its apex coordinate is also unknown, therefore directly to utilize Visual Graph algorithm It is infeasible.The existing method for solving the problems, such as this is that map is pre-processed first, using morphological method, is such as divided Water ridge algorithm, Feature Correspondence Algorithm etc., can extract the boundary of the characteristic point or barrier in map, acquired disturbance object it is big Shape is caused, and each characteristic point is connected with straight line, converts a convex polygon for barrier, reapplies Visual Graph calculation Method.The calculation amount of this method is not small, and the additional algorithm being related to is more, and efficiency is difficult to estimate, and is transformed into barrier at it When convex polygon, a degree of expansion or corrosion can be carried out to the edge of barrier, may cause is not barrier originally in map Hindering the region of object becomes barrier, is that the region of barrier becomes and can pass through originally, finally obtained path may be made illegal.
Summary of the invention
Technology of the invention solves the problems, such as: overcoming the rigid requirement of original Visual Graph to map, proposes one kind The method that Visual Graph is improved under complicated map, makes it no longer be only limitted to the map of convex polygonal obstacle, in complexity SLAM map under can also run, and pre-process without to map, the density parameter of node is also easy to adjust, with life At accurate path.
Technical solution of the invention: a method of improving Visual Graph under complicated map, feature exists In: Visual Graph can be made to may not only be applied to the map of convex polygonal obstacle, it can also be with to general SLAM map It is applicable in, its step are as follows:
Step 1: to map is converted, and map binary conversion treatment constructed by grayscale image or SLAM is converted Map afterwards, this process are known as map binarization;
Step 2: for the map after conversion, beginning and end is given, beginning and end is stored in a sequence list, And emit light since beginning and end, index path is begun setting up, this process is known as initialization procedure;
Step 3: when light touches barrier, recording the coordinate of the point of impingement, and ask with node existing in sequence list Distance is taken, gives up the point if less than one threshold value of distance, otherwise retains, which is known as node store decision process;
Step 4: since the node of reservation, re-emitting light, and repeat the process of step 3, this process is known as repeating Light emission process;
Step 5: when all light collision obstacles all can not generate new node, figure is built in judgement to be terminated;
Step 6: A* pathfinding algorithm is applied on the topological map built up, and can be obtained a connection source and terminal, with Optical path is the path of carrier, this process is known as pathfinding process.
In the step 1, the method for the binaryzation of map are as follows:
It calls the library opencv to read in given map file, and converts a two-dimentional shaping array for map matrix, i.e., Indicate two-dimensional surface space, each of array element represents a pixel of corresponding coordinate on map, if the point is barrier Hinder object point, then array value is set as 1, if the point is that array value can be set as 0 by point.
In the step 2, emit the method for light are as follows:
(1) for certain point, from 0 degree, i.e., direction starts to emit light every a fixed step-length horizontally to the right, until Until 360 degree;
(2) for each direction, light is pushed ahead pixel-by-pixel, one pixel of every propulsion, it will detect the point whether be 3 can be entered step and sentenced by point, if can continue to promote if, if the point can not be recorded by indicating to encounter barrier Disconnected process;
(3) if the light of a direction is apart from too small, then it represents that the direction and barrier very close to, be it is unreasonable, If therefore light distance is less than a certain threshold value, the light of the direction will be rejected.
In the step 2, the method for storage node are as follows:
Two sequence lists are set, a sequence list allnode stores all nodes, i.e., it is emitted cross light with not yet Emit all nodes of light, another sequence list open storage not yet emits the node of light.When initialization, by starting point and end Point is all stored in two sequence lists.
In the step 3, the determination method of node store are as follows:
When light encounters barrier, all nodes in the point of impingement and allnode are sought into distance, if this is apart from small In a certain threshold value, then give up the point, otherwise the point is added in allnode and open table.
In the step 4, the method that light emits is repeated are as follows:
An element of open gauge outfit is taken out, light emission process shown in step 2 is repeated.
In the step 5, the judgment method that figure terminates is built are as follows:
When the point of impingement of light and the barrier of the transmitting of a certain node with a little at a distance from be respectively less than threshold value when, then the section Point will not generate new node, hereafter take out a point from open table again and carry out light transmitting, at this time the element of open table Number will be reduced, and when open table is empty, that is, building figure process terminates.
The advantages of the present invention over the prior art are that:
(1) present invention continue to use the light straightline propagation thinking of primal algorithm, but breach primal algorithm can be only applied to it is convex The limitation of polygon barrier map.It is using the point of impingement of light and blocking surfaces as node, i.e., similar in complicated map Emit new light to generate more nodes, throughout the barrier of whole map in the vertex of convex polygon, and from the node Surface, and path is formed by carrier of optical path, to map itself has no requirement;
(2) present invention is pre-processed without to map, and calculation amount is minimum.With the existing side for improving Visual Graph Method is compared, and the prior art needs additional designs algorithm to carry out to map to be pre-processed, and is fitted with generating a convex polygon map Original Visual Graph algorithm is answered, very huge calculation amount is increased.And to map of the present invention has no requirement, i.e., It is pre-processed without other algorithm for design to map to generate convex polygonal obstacle map, directly original place figure is grasped Make, saves a large amount of calculation amounts, improve operational efficiency;
(3) every threshold parameter of the invention is all extremely easily adjusted, and compared with existing technical method, the prior art is needed Blocking surfaces are expanded or corroded, the shape of barrier is made to become regular uniform, original Visual is adapted to this Usually there is the illegal situation for passing through barrier in Graph algorithm, resulting path.And the present invention can be with by adjusting threshold parameter Obtain a more accurate, legal path, without to barrier edge corrosion or expansion, not will lead to the barrier in map Point is corroded as that can pass through a little, can be expanded to obstacle object point by point, resulting path is accurate and legal.
Detailed description of the invention
Fig. 1 is original Visual Graph algorithm effect;
Fig. 2 is the flow chart of the method for the present invention;
Fig. 3 is effect picture of the present invention.
Specific embodiment
The present invention is generally used in the map of slam algorithm foundation, is actual landform, complex.
As shown in Fig. 2, detailed description are as follows for specific implementation step of the present invention:
Step 1: with slam algorithm or other build nomography obtain current environment cartographic information, with .pgm format Picture is incoming, calls opencv library function that its binaryzation is obtained the matrix variables Mat of opencv, then convert it into one Two-dimensional array, value are that 0 or 1,0 expression can pass through, and 1 indicates that, there are barrier, binarization is completed;
Step 2: given beginning and end, if being risen via the position where the location algorithms positioning robot such as SLAM Point is that robot is currently located a little, and terminal is then target point.Beginning and end is placed in the sequence list of an entitled open first In, as the node of light to be launched, while by the sequence list of their one entitled allnode of deposit, allnode is for storing up Deposit the sequence list of all nodes.
Step 3: when open table non-empty, to originate 0 degree of the angle of departure, i.e. horizontal direction one point of taking-up since open table Right transmitting light, when light encounters barrier not yet, light is pushed ahead pixel-by-pixel, one pixel of every propulsion, all right Next pixel is detected, and if can continue to promote if, if can not be by indicating to encounter barrier, light stops at this time Thrust is into and recording the point of impingement coordinate;
Step 4: the point of impingement is detected, if the point of impingement is issued with light is less than a certain threshold value at a distance from point, It indicates the direction and barrier very and is close to, the light of the direction unreasonable, should give up.If light is reasonable, seek The Euclidean distance of all elements in the point of impingement and allnode table, when its distance is less than a certain threshold value, then the point is given up, otherwise Using the point as new preparation transmitting node, while it being stored in the table tail of open table and allnode table, and the node and light are sent out It penetrates node and establishes connection, a pointer is respectively contained in the structural body for being implemented as two nodes of connection, enables two objects The pointer coreference for being included, i.e. realization node connection, that is, the side in topological diagram;
Step 5: giving one step angle of launch angle, repeat the process of light transmitting, and light and barrier are touched Hit the detection for carrying out step 4.The light transmitting of the point terminates if angle reaches 360 degree, step 3 is repeated, again from open A point is taken out in table, repeats light transmitting;
Step 6: can not generate new node after the 360 degree of light transmitting of a certain light, then from this when open Begin, the content of open table will be reduced, and when node all in open table all can not create new node, open table will be Sky shows to build at this time figure completion, has obtained a topological map, and vertex is light launch point, side be node and node it Between light connection;
Step 7: A* pathfinding algorithm is applied on resulting topological map, the heuristic cost of A* is set as light between node The distance of line according to the heuristic rule of A*, until terminal, can be obtained the one of connection source and terminal from the off Item is using optical path as the path of carrier.
It is the Visual Graph path planning algorithm before not improving such as Fig. 1, the map of application can only be as shown in the figure , barrier is the map of convex polygon, and the vertex of each barrier requires it is known that by beginning and end and obstacle Connection is established on the vertex of object from each other, then can be constituted the communication path from origin-to-destination to be connected as carrier.Road The advantages of diameter, is that straightness is good, and turn number is few, thus speed loss when robot operation is small, but since it can only be used On simple convex polygonal obstacle map, therefore it is difficult to apply in practical problem.
It is that the present invention improves later Visual Graph method effect, the dot in figure indicates light transmitting section such as Fig. 3 Point, filament indicates optical path, and heavy line indicates the path finally obtained.The present invention inherits the advantages of original method, that is, turns round Number is less, and the speed loss of robot is small, and the disadvantage fatal the present invention overcomes original algorithm, allows to apply In complicated map, and pretreatment operation is carried out without to map, greatly improves its application prospect in practical problem.

Claims (2)

1. a kind of method for improving Visual Graph under complicated map, it is characterised in that: Visual Graph can be made not It is applied only for the map of convex polygonal obstacle, general SLAM map can also be applied, its step are as follows:
Step 1: to map is converted, by map binary conversion treatment constructed by grayscale image or SLAM, after being converted Map, this process are known as map binarization;
Step 2: for the map after conversion, beginning and end is given, beginning and end is stored in a sequence list, and from Beginning and end starts to emit light, begins setting up index path, this process is known as initialization procedure;
Step 3: when light touches barrier, the coordinate of the point of impingement is recorded, and seek distance with node existing in sequence list, Give up the point if less than one threshold value of distance, otherwise retains, which is known as node store decision process;
Step 4: since the node of reservation, re-emitting light, and repeat the process of step 3, this process is known as repeating light Emission process;
Step 5: when all light collision obstacles all can not generate new node, figure is built in judgement to be terminated;
Step 6: applying A* pathfinding algorithm on the topological map built up, can be obtained a connection source and terminal, with optical path For the path of carrier, this process is known as pathfinding process;
In the step 1, the method for the binaryzation of map are as follows:
It calls the library opencv to read in given map file, and converts a two-dimentional shaping array for map matrix, that is, indicate Two-dimensional surface space, each of array element represent a pixel of corresponding coordinate on map, if the point is barrier Point, then be set as 1 for array value, if the point is that array value can be set as 0 by point;
In the step 2, emit the method for light are as follows:
(1) for certain point, from 0 degree, i.e., direction starts to emit light every a fixed step-length horizontally to the right, until 360 Until degree;
(2) for each direction, light is pushed ahead pixel-by-pixel, one pixel of every propulsion, it will detect whether the point is that can lead to It crosses a little, if can continue to promote if, if can not record the point by indicating to encounter barrier, enter step 3 judgement Journey;
(3) if the light of a direction is apart from too small, then it represents that the direction and barrier very close to, be it is unreasonable, therefore If light distance is less than a certain threshold value, the light of the direction will be rejected;
In the step 2, the method for storage node are as follows:
Two sequence lists are set, and a sequence list allnode stores all nodes, i.e., emitted to cross light and not yet emit All nodes of light, another sequence list open storage not yet emit the node of light;When initialization, all by beginning and end It is stored in two sequence lists;
In the step 3, the determination method of node store are as follows:
When light encounters barrier, all nodes in the point of impingement and allnode are sought into distance, if this is apart from small Mr. Yu One threshold value then gives up the point, and otherwise the point is added in allnode and open table;
In the step 5, the judgment method that figure terminates is built are as follows:
When the point of impingement of light and the barrier of the transmitting of a certain node with a little at a distance from be respectively less than threshold value when, then the node is not New node can be generated, hereafter a point is taken out from open table again and carries out light transmitting, the element number of open table will at this time It can reduce, when open table is empty, that is, building figure process terminates.
2. the method according to claim 1 for improving Visual Graph under complicated map, it is characterised in that: the step In rapid 4, the method that light emits is repeated are as follows: an element for taking out open gauge outfit repeats light shown in step 2 and emitted Journey.
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CN113108803B (en) * 2021-04-12 2022-12-16 北京佰能盈天科技股份有限公司 Path planning method and device for double-axis positioning system

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