CN106959689A - A kind of robot tracking device and method for intersection - Google Patents

A kind of robot tracking device and method for intersection Download PDF

Info

Publication number
CN106959689A
CN106959689A CN201710157517.5A CN201710157517A CN106959689A CN 106959689 A CN106959689 A CN 106959689A CN 201710157517 A CN201710157517 A CN 201710157517A CN 106959689 A CN106959689 A CN 106959689A
Authority
CN
China
Prior art keywords
infrared sensor
track regions
vehicle body
tracking
tunnels
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201710157517.5A
Other languages
Chinese (zh)
Inventor
俞烨隆
黎经元
蔡昊洋
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Zhejiang University ZJU
Original Assignee
Zhejiang University ZJU
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Zhejiang University ZJU filed Critical Zhejiang University ZJU
Priority to CN201710157517.5A priority Critical patent/CN106959689A/en
Publication of CN106959689A publication Critical patent/CN106959689A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05DSYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
    • G05D1/0088Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots characterized by the autonomous decision making process, e.g. artificial intelligence, predefined behaviours
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
    • G01C21/26Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
    • G01C21/34Route searching; Route guidance
    • G01C21/3407Route searching; Route guidance specially adapted for specific applications
    • G01C21/3415Dynamic re-routing, e.g. recalculating the route when the user deviates from calculated route or after detecting real-time traffic data or accidents
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S5/00Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations
    • G01S5/16Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations using electromagnetic waves other than radio waves
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S5/00Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations
    • G01S5/16Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations using electromagnetic waves other than radio waves
    • G01S5/163Determination of attitude
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05DSYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
    • G05D1/02Control of position or course in two dimensions
    • G05D1/021Control of position or course in two dimensions specially adapted to land vehicles
    • G05D1/0231Control of position or course in two dimensions specially adapted to land vehicles using optical position detecting means
    • G05D1/0242Control of position or course in two dimensions specially adapted to land vehicles using optical position detecting means using non-visible light signals, e.g. IR or UV signals

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Remote Sensing (AREA)
  • General Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • Electromagnetism (AREA)
  • Aviation & Aerospace Engineering (AREA)
  • Business, Economics & Management (AREA)
  • Health & Medical Sciences (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Computation (AREA)
  • Game Theory and Decision Science (AREA)
  • Medical Informatics (AREA)
  • Control Of Position, Course, Altitude, Or Attitude Of Moving Bodies (AREA)

Abstract

The invention discloses a kind of robot tracking device and method for intersection.Tracking device includes vehicle body mobile device and infrared sensor devices, and wherein vehicle body mobile device includes four omni-directional wheels all around and drives the direct current generator of omni-directional wheel rotation;Infrared sensor devices include No. four infrared sensors of front-wheel and No. four infrared sensors of side wheel;The sample frequency of infrared sensor is determined according to the action speed of car, when intersection track regions are introduced into and when entering intersection track regions, controls vehicle body tracking mark to walk by infrared sensor sampled result before the tunnel of front-wheel four;Tracking distance is measured by side infrared sensor;Tracking pivot turn is realized by infrared sensor before four tunnels.The present invention determines the motion state of each omni-directional wheel using front-wheel is detected with each four tunnel of side wheel detection signal, realizes that robot passes through intersection, is avoided that mistake when robot runs into intersection and afterwards is walked and turned.

Description

A kind of robot tracking device and method for intersection
Technical field
The present invention relates to intelligent robot control field, and in particular to a kind of robot tracking for intersection is filled Put and method.
Background technology
With developing rapidly for current robot technology, Path Recognition and the important research that trajectory planning is mobile robot Problem.Robot can the prerequisite several conditions of autonomous be to have environmental model or map, can perceive and analyze ring Border, robot can determine oneself position in the environment, plans and performs movement.Can accurately it be moved along certain track It is the basis of mobile robot.
The mobile robot that current many is capable of autonomous tracking has relied on infrared sensor progress tracking, but according to Certain correction algorithm carries out track correction and realizes tracking, because in the left and right of direct of travel when intersection is run into Both sides are all roads, it is possible that robot at the parting of the ways when mistake turn phenomenon.It is this in order to evade The generation of phenomenon, finds a kind of suitable tracking method particularly important.
The content of the invention
The problem of existing for existing various tracking methods and defect, the invention provides a kind of machine for intersection Device people tracking device and method, use multichannel infrared sensor and tracking method reasonable in design allow robot according to both Fixed track walking.
The technical scheme is that:
First, a kind of robot tracking device for intersection:
Including vehicle body mobile device and infrared sensor devices;
Described vehicle body mobile device includes being arranged in body bottom four omni-directional wheels all around and drive The direct current generator of each omni-directional wheel rotation;
Described infrared sensor devices include being arranged in before four tunnels of body bottom at front-wheel infrared sensor ABCD with It is arranged in four trackside infrared sensor EFGH of body bottom at revolver or right wheel.
Infrared sensor probe arranges that described front-wheel No. four infrared sensor and right wheel No. four infrared sensor is equal down The different background area of two kinds of colors can be recognized, and divides into track regions and non-track regions.
The size of the vehicle body mobile device of the present invention is much larger than the Breadth Maximum of track regions.In specific implementation, vehicle body is moved Dynamic device is more than four times of the Breadth Maximum of track regions.
2nd, a kind of robot tracking method for intersection:
Using tracking device described in claim 1, in vehicle body mobile device mainly by track regions and non-track regions Detected in real time by infrared sensor devices in the zone of action moving process of composition and carry out tracking in the following ways:
1. the sample frequency of infrared sensor is determined according to the action speed of car, and passes through infrared sensor and four before four tunnels The sampling of trackside infrared sensor obtains sampled data;
2. when intersection track regions are introduced into and when entering intersection track regions, front-wheel is passed through Infrared sensor sampled result control vehicle body tracking mark walking before four tunnels;Tracking distance is measured by side infrared sensor;Pass through Infrared sensor realizes that tracking is turned before four tunnels.
1. the step be:Obtain each per infrared sensor all the way with sample frequency interval sampling, under each sampling instant What road infrared sensor was detected corresponds to the sampled result of track regions or non-track regions, and forms sampled data, adopts Sample result is used for attitude and the direction for determining vehicle body movement.
2. the step when intersection track regions are introduced into, passes through infrared biography before four tunnels in the following ways Sensor sampled result is judged, and then controls the walking of vehicle body tracking mark:
If infrared sensor A, B sampled result of left side two-way are track regions in infrared sensor before four tunnels, and Infrared sensor C, D sampled result of right side two-way are non-track regions, and the number of times that the combination of the four tunnels sampled result occurs tires out Count offset threshold, then it is assumed that vehicle body is offset to the right, control vehicle body continues away to anticlockwise is follow-up;
If infrared sensor A, B sampled result of left side two-way are non-track regions in infrared sensor before four tunnels, and And infrared sensor C, D sampled result of right side two-way are track regions, the number of times that the combination of the four tunnels sampled result occurs tires out Count offset threshold, then it is assumed that vehicle body is offset to the left, control vehicle body continues away to right rotation is follow-up;
If the road front sensors of continuous sampling time Nei tetra- are from left side infrared sensor A to right side infrared sensor D's Sampled result detects non-track regions successively in chronological order, then it is assumed that vehicle body is offset to non-track region to the left along tracking track Domain, control vehicle body continues away to right rotation is follow-up;
If the road front sensors of continuous sampling time Nei tetra- are from right side infrared sensor D to left side infrared sensor A's Sampled result detects non-track regions successively in chronological order, then it is assumed that vehicle body is offset to the right non-track region along tracking track Domain, control vehicle body continues away to anticlockwise is follow-up.
If four road front sensor sampled results are track regions, then it is assumed that vehicle body is located on track regions, vehicle body side To not adjusting.
If all non-track regions of display are, it is necessary to sampled data before contrasting or combine side infrared sensor Sampled result is judged, obtains current vehicle body adjustment direction.
It is after the track for controlling vehicle body to rotate by wheel is corrected, the sampled data of accumulative all sampled results is clear Remove, controlled with carrying out correction next time.
The present invention can realize that intersection is kept straight on, without mistakenly turning.
The step 2. enter intersection track regions when, in the following ways to infrared sensor before four tunnels Sampled result is handled so that vehicle body remains with the corresponding sampled data of deflection behind the track regions of intersection:In walking During, at least remembered having in the sampled result of infrared sensor before four tunnels all the way for the sampled data of non-track regions Record is accumulative, by with being at least track all the way for the four tunnel sampled results that occur between two sampled datas of non-track regions The corresponding sampled data in region is removed.There is deflection before the track regions of intersection thus, it is possible to avoid vehicle body, by intersecting The situation of deflection will not be corrected behind the track regions of crossing, solving vehicle body may be completely into by intersection track regions Non- track regions (identification blind area) and can not adjustment direction the problem of.
The four tunnel sampled results that any sampling instant can occur in specific implementation are the corresponding sampling in track regions Data dump.
2. middle metering tracking distance is specially the step:Tracking is measured by the sampled data of side infrared sensor to walk During the intersection number that passes through, and record tracking distance:The sampling knot of No. four infrared sensors in the infrared sensor of side It is track regions, all track regions in four tunnels that fruit sequentially passes through all non-track regions in four tunnels, front side two-way in chronological order When domain, rear side two-way are non-track regions, the process of all non-track regions in four tunnels, then it is assumed that vehicle body is by a crossroad Mouthful.
The step 2. in realize that tracking pivot turn is specially:Vehicle body stops, since current location is around vehicle body center Rotation, the sampled result of current infrared sensor Zhong No. tetra- infrared sensors sequentially passes through all rails in four tunnels in chronological order Mark region, side two-way are non-track regions, all non-track regions in four tunnels, the process that opposite side two-way is track regions Afterwards, at all track regions in four tunnels, then stop vehicle body rotation, complete turn between two adjacent intersections in intersection It is curved.
The beneficial effects of the invention are as follows:
Present invention optimizes the robot tracking mode specifically designed for intersection, vehicle body mobile device is solved in movement During the improper problem of amendment that deflects of route and do not corrected and the problem of cause entry into blind area by crossroad deflection.
Than other method, specifically the special-effect of the inventive method has:One is when by intersection The problem of can avoiding not correcting direction in time;Two be that can measure the intersection number passed through during tracking, so as to To record the distance of tracking;Three be that robot original place tracking turning can be realized in intersection, can be from current track Turn to another specified track.
Method provided by the present invention can relatively accurately realize the tracking motion of mobile robot, can be specifically designed for intersection Realize tracking walking or tracking pivot turn to functions such as specified locations in crossing.
Brief description of the drawings
Fig. 1 is the structural representation of apparatus of the present invention.
Fig. 2 is the place figure of specific implementation routine.
Fig. 3 is the track adjustment figure after the vehicle body skew during tracking.
Fig. 4 is schematic diagram when front-wheel infrared sensor detects all non-track regions.
Fig. 5 records the intersection region passed through during straight trip by right wheel infrared sensor.
Fig. 6 is the schematic diagram in intersection original place tracking turning process.
Fig. 7 be embodiment by during the region of intersection not in time correct yawing moment schematic diagram.
Embodiment
In order to more specifically describe the tracking method of the present invention, below in conjunction with the accompanying drawings and embodiment is to the present invention Technical scheme be described in detail.
As shown in figure 1, the tracking device that the present invention is embodied is No. four infrared sensors and right wheel by front-wheel No. four infrared sensors and four motors composition device.Including vehicle body mobile device and infrared sensor devices;Vehicle body Mobile device includes being arranged in body bottom four omni-directional wheels 1,2,3,4 all around and drives each omni-directional wheel to revolve The direct current generator turned;Infrared sensor devices include being arranged in infrared sensor A, B, C, D before four tunnels of body bottom at front-wheel Four trackside infrared sensor E, F, G, H with being arranged in body bottom at revolver or right wheel.
As shown in Fig. 2 the test site of specific implementation is made up of at one the non-track regions of black and white track regions Platform.In specific implementation, vehicle body mobile device is ten times or so of the Breadth Maximum of track regions.
Tracking process, which is embodied, is:
1) sample frequency of infrared sensor is determined according to the action speed of car;And multiple repairing weld is carried out at binaryzation Reason, that is, certain number of times of sampling is judged as the background of certain color during more than a certain threshold value.
Sampled data is obtained by the sampling of the trackside infrared sensor 6 of infrared sensor before four tunnels 5 and four, per biography infrared all the way Sensor is with sample frequency interval sampling, and obtain that each road infrared sensor detects under each sampling instant corresponds to track regions Or the sampled result of non-track regions, and sampled data is formed, sampled result is used for attitude and the direction for determining vehicle body movement.
2) without intersection
As shown in figure 3, when intersection track regions are introduced into, passing through infrared biography before four tunnels in the following ways The sampled result of sensor 5 is judged, and then controls the walking of vehicle body tracking mark;
If infrared sensor A, B sampled result of left side two-way are track regions in infrared sensor 5 before four tunnels, and Infrared sensor C, D sampled result of right side two-way are non-track regions, and the number of times that the combination of the four tunnels sampled result occurs tires out Count offset threshold, then it is assumed that vehicle body is offset to the right, control vehicle body continues away to anticlockwise is follow-up., whereas if before four tunnels Infrared sensor A, B sampled result of left side two-way are non-track regions, and the infrared biography of right side two-way in infrared sensor 5 Sensor C, D sampled result are track regions, and the number of times that the combination of the four tunnels sampled result occurs is accumulated to offset threshold, then it is assumed that Vehicle body is offset to the left, and control vehicle body continues away to right rotation is follow-up.Realize that track is corrected when every secondary control wheel (to turn and obtain Obtain pivot turn action) after, accumulative sampled data is reset, so as to accumulative analysis and judgement of rectifying a deviation next time.
If as shown in figure 4, the road front sensors of continuous sampling time Nei tetra- are infrared to right side from left side infrared sensor A Sensor D sampled result detects non-track regions successively in chronological order, then it is assumed that vehicle body is offset to the left along tracking track To non-track regions, control vehicle body continues away to right rotation is follow-up.That is the ABCD in Fig. 4 be moved to the left after completely into non-rail Mark region.
, whereas if the road front sensors of continuous sampling time Nei tetra- are from right side infrared sensor D to left side infrared sensing Device A sampled result detects non-track regions successively in chronological order, then it is assumed that vehicle body is offset to the right non-along tracking track Track regions, control vehicle body continues away to anticlockwise is follow-up.
If the sampled result of four road front sensor 5 is track regions, then it is assumed that vehicle body is located on track regions, vehicle body side To not adjusting.
If all non-track regions of display are, it is necessary to sampled data before contrasting or combine side infrared sensor Sampled result is judged, obtains current vehicle body adjustment direction.The present invention through the above way can be in vehicle body completely into non- Adjust and turn to before track regions, and avoid walking wrong completely into non-track regions identification blind area and can not adjusting for vehicle body Perfect square to situation.
The data of sampling judge that the direction of vehicle body movement will be deviated to the right track, then need the two omni-directional wheel left sides in regulation left and right Turn;The data of sampling judge that the direction of vehicle body movement will be deviated to the left track, then need regulation left and right two omni-directional wheel to turn right.
3) by intersection
When intersection track regions are entered, in the following ways to the sampled result of infrared sensor 5 before four tunnels Handled so that vehicle body remains with the corresponding sampled data of deflection behind the track regions of intersection:
Under normal circumstances, vehicle body is walked along track, and infrared sensor ABCD sampled result should be track region before four tunnels Domain, the sampled result for walking ABCD when route of keeping straight on passes through by intersection track regions also should be track regions.However, real Situation it is possible that:If having occurred and that infrared sensor ABCD before deflection, four tunnels when vehicle body walking is to close to intersection Sampled result at least all the way be non-track regions, be typically occur side two-way sampled result be non-track regions, separately The sampled result of outer side two-way is non-track regions, but the combination appearance of above-mentioned sampled result before intersection is reached Number of times is accumulative not to arrive offset threshold, and vehicle body will not turn.When vehicle body walks on by intersection, four tunnel sampled results are equal For track regions, this process can be added to the judgement that vehicle body deviation is have impact in cumulative data.
Such situation for example occurs, as shown in fig. 7, when intersection is not arrived vehicle body have occurred and that deflection but It is that degree of deflection does not also reach threshold number so not correcting, but No. four sensors are equal when intersection is run into Detect track regions, now not but still without correct and also vehicle body may be more and more inclined.It may finally occur and pass through No. four sensors are absorbed in the situation of non-track regions and None- identified after intersection.
Therefore in the process of walking, by with least all the way for non-track regions two sampled datas between occur four Road sampled result is the corresponding sampled data in track regions and removed.Then the cumulative data before still retains, after passing through Continue accumulative, so once which side skew is absorbed in blind area can also remember toward so as to amendment in time.Thus, it is possible to avoid vehicle body from existing There is deflection before the track regions of intersection, the situation of deflection will not be corrected behind the track regions of intersection, car is solved Body by intersection track regions may completely into non-track regions recognize blind area and can not adjustment direction the problem of.
The four tunnel sampled results that any sampling instant can occur in specific implementation are the corresponding sampling in track regions Data dump.
So, when front-wheel enters at intersection, No. four sensors of front-wheel all detect track regions, four The cumulative number of road sensor can all be reset, so when judged result be vehicle body still on currently straight trip track, vehicle body can be after Continuation of insurance holds forward travel state without being turned in intersection.
As shown in figure 5, measuring the intersection passed through in tracking walking process by the sampled data of side infrared sensor 6 Number, and record tracking distance:The sampled result of No. four infrared sensors is sequentially passed through in chronological order in side infrared sensor 6 The all non-track regions in four tunnels, front side two-way are that track regions, all track regions in four tunnels, rear side two-way are non-track region When domain, the process of all non-track regions in four tunnels, then it is assumed that vehicle body once leads to by an intersection so as to record The number of times of intersection is crossed, the approximate distance of tracking is measured.
As shown in fig. 6, when needing to turn when running into intersection, robot can be turned with original place tracking, tool Body step is:Vehicle body stops, and is rotated since current location is around vehicle body center, the current infrared biographies in tunnel of 5 Zhong of infrared sensor tetra- It is non-track regions, four tunnels that the sampled result of sensor sequentially passes through all track regions in four tunnels, side two-way in chronological order After all non-track regions, opposite side two-way is the processes of track regions, at all track regions in four tunnels, then stop car Body rotates, and completes the turning between two adjacent intersections in intersection.So robot can realize original place tracking turning.
Above-mentioned implementation can preferably realize the tracking process for intersection robot, accurately realize Robot turns in intersection original place tracking, can also measure the intersection number passed through among tracking process.

Claims (9)

1. a kind of robot tracking device for intersection, it is characterised in that:Including vehicle body mobile device and infrared sensing Device device;Described vehicle body mobile device includes being arranged in four omni-directional wheels (1,2,3,4) of body bottom all around And the direct current generator for driving each omni-directional wheel to rotate;Described infrared sensor devices include being arranged in body bottom at front-wheel Four tunnels before infrared sensor (5) and be arranged in four trackside infrared sensors (6) of body bottom at revolver or right wheel.
2. a kind of tracking device of mobile robot according to claim 1, it is characterised in that:The described tunnel of front-wheel four is red Outer sensor and right wheel No. four infrared sensor background area that can to recognize two kinds of colors different, and divide into track regions With non-track regions.
3. a kind of tracking device of mobile robot according to claim 1, it is characterised in that:The vehicle body movement of the present invention The size of device is much larger than the Breadth Maximum of track regions.
4. a kind of robot tracking method for intersection, it is characterised in that:Using tracking device described in claim 1, Vehicle body mobile device in the zone of action moving process being mainly made up of track regions and non-track regions by infrared biography Detection carries out tracking to sensor arrangement in the following ways in real time:
1. the sample frequency of infrared sensor is determined according to the action speed of car, and passes through infrared sensor (5) and four before four tunnels Trackside infrared sensor (6) sampling obtains sampled data;
2. when intersection track regions are introduced into and when entering intersection track regions, the tunnel of front-wheel four is passed through Preceding infrared sensor (5) sampled result control vehicle body tracking mark walking;Tracking distance is measured by side infrared sensor (6);It is logical Cross infrared sensor (5) before four tunnels and realize tracking pivot turn.
5. a kind of tracking method of mobile robot according to claim 4, it is characterised in that:1. the step be:Often Infrared sensor obtains the correspondence that each road infrared sensor is detected with sample frequency interval sampling all the way under each sampling instant For the sampled result of track regions or non-track regions, and form sampled data.
6. a kind of tracking method of mobile robot according to claim 4, it is characterised in that:2. the step is not being entered When entering intersection track regions, judged in the following ways by infrared sensor (5) sampled result before four tunnels, And then control the walking of vehicle body tracking mark:
If infrared sensor A, B sampled result of left side two-way are track regions in infrared sensor (5) before four tunnels, and right Infrared sensor C, D sampled result of side two-way are non-track regions, and the number of times that the combination of the four tunnels sampled result occurs adds up To offset threshold, then it is assumed that vehicle body is offset to the right, control vehicle body continues away to anticlockwise is follow-up;
If infrared sensor A, B sampled result of left side two-way are non-track regions in infrared sensor (5) before four tunnels, and Infrared sensor C, D sampled result of right side two-way are track regions, and the number of times that the combination of the four tunnels sampled result occurs adds up To offset threshold, then it is assumed that vehicle body is offset to the left, control vehicle body continues away to right rotation is follow-up;
If sampling of the road front sensors of continuous sampling time Nei tetra- from left side infrared sensor A to right side infrared sensor D As a result non-track regions are detected successively in chronological order, then it is assumed that vehicle body is offset to non-track regions to the left along tracking track, Control vehicle body continues away to right rotation is follow-up;
If sampling of the road front sensors of continuous sampling time Nei tetra- from right side infrared sensor D to left side infrared sensor A As a result non-track regions are detected successively in chronological order, then it is assumed that vehicle body is offset to the right non-track regions along tracking track, Control vehicle body continues away to anticlockwise is follow-up.
7. a kind of tracking method of mobile robot according to claim 4, it is characterised in that:2. the step is entering When the track regions of intersection, infrared sensor (5) sampled result before four tunnels is handled in the following ways:It is expert at During walking, will have in the sampled result of infrared sensor before four tunnels and at least carried out all the way for the sampled data of non-track regions Record is accumulative, by with being at least rail all the way for the four tunnel sampled results that occur between two sampled datas of non-track regions The corresponding sampled data in mark region is removed.
8. a kind of tracking method of mobile robot according to claim 4, it is characterised in that:The step 2. middle metering Tracking distance is specially:The intersection passed through in tracking walking process is measured by the sampled data of side infrared sensor (6) Number, and record tracking distance:The sampled result of No. four infrared sensors is passed through successively in chronological order in side infrared sensor (6) It is that track regions, all track regions in four tunnels, rear side two-way are non-track to cross all non-track regions in four tunnels, front side two-way When region, the process of all non-track regions in four tunnels, then it is assumed that vehicle body is by an intersection.
9. a kind of tracking method of mobile robot according to claim 4, it is characterised in that:The step is 2. middle to be realized Tracking pivot turn is specially:Vehicle body stops, and is rotated since current location is around vehicle body center, in current infrared sensor (5) No. four infrared sensors sampled result sequentially pass through in chronological order all track regions in four tunnels, side two-way be non-rail After mark region, all non-track regions in four tunnels, opposite side two-way is the processes of track regions, in all track regions in four tunnels When, then stop vehicle body rotation, complete the turning between two adjacent intersections in intersection.
CN201710157517.5A 2017-03-16 2017-03-16 A kind of robot tracking device and method for intersection Pending CN106959689A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710157517.5A CN106959689A (en) 2017-03-16 2017-03-16 A kind of robot tracking device and method for intersection

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710157517.5A CN106959689A (en) 2017-03-16 2017-03-16 A kind of robot tracking device and method for intersection

Publications (1)

Publication Number Publication Date
CN106959689A true CN106959689A (en) 2017-07-18

Family

ID=59470744

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710157517.5A Pending CN106959689A (en) 2017-03-16 2017-03-16 A kind of robot tracking device and method for intersection

Country Status (1)

Country Link
CN (1) CN106959689A (en)

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111115139A (en) * 2019-12-31 2020-05-08 广东嘉腾机器人自动化有限公司 AGV drift motion adjusting method
CN112697167A (en) * 2020-11-23 2021-04-23 深圳市越疆科技有限公司 Threshold adjusting method of infrared tracking sensor and electronic equipment
CN113359739A (en) * 2021-06-17 2021-09-07 天津中德应用技术大学 Intelligent movement device based on energy substitution technology and movement control method thereof
CN113534798A (en) * 2021-07-13 2021-10-22 南京苏美达智能技术有限公司 Tracking return control method, automatic walking device and readable storage medium

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102692925A (en) * 2012-05-16 2012-09-26 黑龙江大学 Real-time tracking state display method for electric modal car running in infrared tracking manner and display device implementing method
CN104027920A (en) * 2014-06-06 2014-09-10 上海大学 Intelligent tracking extinguishment car and control method thereof
CN104932507A (en) * 2015-06-09 2015-09-23 北京联合大学 Night patrol robot automatic tracking method
CN104950888A (en) * 2015-06-19 2015-09-30 武汉理工大学 17 degree of freedom humanoid robot and control method thereof

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102692925A (en) * 2012-05-16 2012-09-26 黑龙江大学 Real-time tracking state display method for electric modal car running in infrared tracking manner and display device implementing method
CN104027920A (en) * 2014-06-06 2014-09-10 上海大学 Intelligent tracking extinguishment car and control method thereof
CN104932507A (en) * 2015-06-09 2015-09-23 北京联合大学 Night patrol robot automatic tracking method
CN104950888A (en) * 2015-06-19 2015-09-30 武汉理工大学 17 degree of freedom humanoid robot and control method thereof

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
单以才 等: "基于红外传感器的自主循迹小车控制算法设计与实现", 《伺服控制》 *

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111115139A (en) * 2019-12-31 2020-05-08 广东嘉腾机器人自动化有限公司 AGV drift motion adjusting method
CN111115139B (en) * 2019-12-31 2021-12-10 广东嘉腾机器人自动化有限公司 AGV drift motion adjusting method
CN112697167A (en) * 2020-11-23 2021-04-23 深圳市越疆科技有限公司 Threshold adjusting method of infrared tracking sensor and electronic equipment
CN113359739A (en) * 2021-06-17 2021-09-07 天津中德应用技术大学 Intelligent movement device based on energy substitution technology and movement control method thereof
CN113359739B (en) * 2021-06-17 2022-07-22 天津中德应用技术大学 Intelligent movement device based on energy substitution technology and movement control method thereof
CN113534798A (en) * 2021-07-13 2021-10-22 南京苏美达智能技术有限公司 Tracking return control method, automatic walking device and readable storage medium
CN113534798B (en) * 2021-07-13 2023-08-04 南京苏美达智能技术有限公司 Tracking return control method, automatic walking device, and readable storage medium

Similar Documents

Publication Publication Date Title
CN106959689A (en) A kind of robot tracking device and method for intersection
CN105984461B (en) The travel controlling system of vehicle
CN105620473B (en) One kind is parked track correcting method
CN105109484B (en) Target disorders object determines method and device
CN105180933B (en) Mobile robot reckoning update the system and method based on the detection of straight trip crossing
CN109508007A (en) A kind of agricultural machinery track following, obstacle avoidance system and method based on Multi-source Information Fusion
CN109797691A (en) Unmanned sweeper and its travelling-crane method
CN102789233B (en) The integrated navigation robot of view-based access control model and air navigation aid
CN102951147B (en) Method for carrying out curve warning for motor vehicle and device thereof
CN110320908B (en) AGV real-time simulation system
CN105928531A (en) Method for generating route accurately used for pilotless automobile
CN107054360A (en) Method and system for automatically controlling the Following Car for carrying scout car
CN108919802A (en) Unmanned vehicle traveling and device
CN107085938A (en) A kind of fault-tolerant planing method of intelligent driving local path followed based on lane line and GPS
CN109917782A (en) Parking guiding system and its method and automatic parking system
CN108045435A (en) A kind of intelligent vehicle empir-ical formulation control method of pavement self-adaptive
CN106525056A (en) Method for lane line detection by gyro sensor
CN110320906A (en) A kind of 4 wheel driven AGV trolley differential straight-line travelling attitude adjusting method based on Mecanum wheel
CN106946049A (en) Container terminal mobile units automation traveling method
CN108398951A (en) A kind of robot pose measurement method and apparatus combined of multi-sensor information
CN105752154A (en) Vehicle steering control system and method
WO2008138542A1 (en) Sideways drift correction device
CN106980127A (en) Navigation system, method of work based on the Big Dipper and the vehicle for installing the navigation system
CN108099783A (en) A kind of driving assistance system and its operating method for vehicle
CN109375631A (en) A kind of system and method for realizing high speed magnetic navigation identification

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication

Application publication date: 20170718

RJ01 Rejection of invention patent application after publication