CN108919806A - A kind of outdoor automatic obstacle avoiding method based on Fusion - Google Patents

A kind of outdoor automatic obstacle avoiding method based on Fusion Download PDF

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Publication number
CN108919806A
CN108919806A CN201810769403.0A CN201810769403A CN108919806A CN 108919806 A CN108919806 A CN 108919806A CN 201810769403 A CN201810769403 A CN 201810769403A CN 108919806 A CN108919806 A CN 108919806A
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China
Prior art keywords
sensing unit
data
fusion
shaped
automatic obstacle
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Pending
Application number
CN201810769403.0A
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Chinese (zh)
Inventor
张皓
� 苏
苏一
冯艳晓
戚佳宇
单晓宁
俞新荣
王国成
裴翔
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Hangzhou Guochen Robot Technology Co Ltd
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Hangzhou Guochen Robot Technology Co Ltd
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Priority to CN201810769403.0A priority Critical patent/CN108919806A/en
Publication of CN108919806A publication Critical patent/CN108919806A/en
Pending legal-status Critical Current

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    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05DSYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
    • G05D1/02Control of position or course in two dimensions
    • G05D1/021Control of position or course in two dimensions specially adapted to land vehicles
    • G05D1/0212Control of position or course in two dimensions specially adapted to land vehicles with means for defining a desired trajectory
    • G05D1/0214Control of position or course in two dimensions specially adapted to land vehicles with means for defining a desired trajectory in accordance with safety or protection criteria, e.g. avoiding hazardous areas
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05DSYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
    • 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
    • G05D1/0246Control of position or course in two dimensions specially adapted to land vehicles using optical position detecting means using a video camera in combination with image processing means

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Aviation & Aerospace Engineering (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Remote Sensing (AREA)
  • General Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Multimedia (AREA)
  • Electromagnetism (AREA)
  • Manipulator (AREA)
  • Control Of Position, Course, Altitude, Or Attitude Of Moving Bodies (AREA)

Abstract

The present invention discloses a kind of outdoor automatic obstacle avoiding method based on Fusion, top layer vision acquisition zone, upper layer sensing unit, middle layer sensing unit, lower layer sensing unit including constructing seamless connection, host computer obtains Distance-sensing data from U-shaped sensing unit, middle bit wide away from fan-shaped sensing unit, high-order narrow space rectangle sensing unit respectively, constructs the processes such as real-time dynamic 3D modeling image data.Through the above way, the present invention provides a kind of outdoor automatic obstacle avoiding method based on Fusion, and single laser radar and the sensors such as infrared, ultrasonic are carried out data fusion, can be to avoid the blind area at laser video angle, application range is wider, and moderate cost is suitble to mass product.

Description

A kind of outdoor automatic obstacle avoiding method based on Fusion
Technical field
The present invention relates to robotic technology fields more particularly to a kind of outdoor based on Fusion independently to keep away Barrier method.
Background technique
Existing robot outdoor sport avoidance scheme generally uses laser radar and machine vision, and both technologies exist Certain limitation;Two aspect first below the major defect of laser radar:(1) single laser radar is by installation site shadow It rings, some low obstructions can not scan, and there are visual angle blind zones;(2) data fusion is carried out using multiple laser radars simultaneously, So that cost is excessively high;Machine vision major defect be it is affected by environment larger, application scenarios more limit to.
Summary of the invention
The invention mainly solves the technical problem of providing a kind of outdoor automatic obstacle avoiding based on Fusion Single laser radar and the sensors such as infrared, ultrasonic are carried out data fusion, can answered to avoid the blind area at laser video angle by method It is wider with range, while moderate cost is suitble to mass product.
In order to solve the above technical problems, one technical scheme adopted by the invention is that:It provides a kind of based on multisensor number According to the outdoor automatic obstacle avoiding method of fusion, include the following steps:
Step 1:Construct top layer vision acquisition zone, the upper layer sensing of seamless connection along the vertical direction on robot body Area, middle layer sensing unit, lower layer sensing unit;
Step 2:U-shaped infrared sensing array is constructed in lower layer's sensing unit same level, forms 1.5 meters of low levels of radius Short distance U-shaped sensing unit;
Step 3:Sensing unit building in middle level is superimposed upon the ultrasonic sensor on U-shaped infrared sensing array, forms half 5 meters of diameter of middle bit wide is away from fan-shaped sensing unit;
Step 4:In upper layer sensing unit, building is superimposed upon laser radar on ultrasonic sensor, and 100 meters of formation length High-order narrow space rectangle sensing unit;
Step 5:It is sensed respectively from U-shaped sensing unit, middle bit wide away from fan-shaped sensing unit, high-order narrow space rectangle using host computer Area, the synchronous acquisition Distance-sensing data in top layer vision acquisition zone and video stream data, real-time integration construct dynamic 3D modeling image Data;
Step 6:Host computer plans obstacle route using dynamic 3D modeling image data, is handed down to robot execution;
Step 7:Frame data are read from video stream data, extract characteristic information, carry out characteristic matching, generate vision mileage It counts, is corrected by visual odometry and data of the fused data of imu to robot chassis odometer, compensated because of machine Misalignment data caused by device people jolts or skids;
Step 8:Characteristic information is accurately relocated by winding detection, and repeats step 6.
In a preferred embodiment of the present invention, the U row infrared sensing array is equidistantly arranged infrared by least five Range sensor composition.
The beneficial effects of the invention are as follows:A kind of outdoor automatic obstacle avoiding based on Fusion provided by the invention Single laser radar and the sensors such as infrared, ultrasonic are carried out data fusion, can answered to avoid the blind area at laser video angle by method It is wider with range, while moderate cost is suitble to mass product.
Specific embodiment
The technical scheme in the embodiments of the invention will be clearly and completely described below, it is clear that described implementation Example is only a part of the embodiments of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, this field is common Technical staff's all other embodiment obtained without making creative work belongs to the model that the present invention protects It encloses.
The embodiment of the present invention includes:
A kind of outdoor automatic obstacle avoiding method based on Fusion, includes the following steps:
Step 1:Construct top layer vision acquisition zone, the upper layer sensing of seamless connection along the vertical direction on robot body Area, middle layer sensing unit, lower layer sensing unit;
Step 2:U-shaped infrared sensing array is constructed in lower layer's sensing unit same level, forms 1.5 meters of low levels of radius Short distance U-shaped sensing unit;
Step 3:Sensing unit building in middle level is superimposed upon the ultrasonic sensor on U-shaped infrared sensing array, forms half 5 meters of diameter of middle bit wide is away from fan-shaped sensing unit;
Step 4:In upper layer sensing unit, building is superimposed upon laser radar on ultrasonic sensor, and 100 meters of formation length High-order narrow space rectangle sensing unit;
Step 5:It is sensed respectively from U-shaped sensing unit, middle bit wide away from fan-shaped sensing unit, high-order narrow space rectangle using host computer Area, the synchronous acquisition Distance-sensing data in top layer vision acquisition zone and video stream data, real-time integration construct dynamic 3D modeling image Data;
Step 6:Host computer plans obstacle route using dynamic 3D modeling image data, is handed down to robot execution;
Step 7:Frame data are read from video stream data, extract characteristic information, carry out characteristic matching, generate vision mileage It counts, is corrected by visual odometry and data of the fused data of imu to robot chassis odometer, compensated because of machine Misalignment data caused by device people jolts or skids;
Step 8:Characteristic information is accurately relocated by winding detection, and repeats step 6.
Wherein, the U row infrared sensing array is made of the infrared distance sensor that at least five is equidistantly arranged.
In conclusion the present invention provides a kind of outdoor automatic obstacle avoiding method based on Fusion, it will be single A laser radar and the sensors such as infrared, ultrasonic carry out data fusion, can to avoid the blind area at laser video angle, application range compared with Extensively, while moderate cost is suitble to mass product.
The present invention does long-distance barrier analyte detection and avoidance by laser radar, makes closely of infrared or ultrasonic sensor Special angle detection of obstacles, the data that will test are uploaded to laser and do data fusion, carry out part without dead angle by DWA algorithm Avoidance ensure that robot in the safety and stability of outdoor sport;Avoid infrared or ultrasonic sensor as emergency stop simultaneously Switch individually controls robot motion, increases the complexity of control system.
Beneficial effect has:1. hardware and software cost is moderate;2. being restricted by application scenarios less;3. detection of obstacles range Extensively;4. control system complexity is low, real-time is preferable.
The above description is only an embodiment of the present invention, is not intended to limit the scope of the invention, all to utilize this hair Equivalent structure or equivalent flow shift made by bright description is applied directly or indirectly in other relevant technology necks Domain is included within the scope of the present invention.

Claims (2)

1. a kind of outdoor automatic obstacle avoiding method based on Fusion, which is characterized in that include the following steps:
Step 1:Constructed along the vertical direction on robot body the top layer vision acquisition zone of seamless connection, upper layer sensing unit, in Layer sensing unit, lower layer sensing unit;
Step 2:U-shaped infrared sensing array is constructed in lower layer's sensing unit same level, forms 1.5 meters of low level short distance U of radius Shape sensing unit;
Step 3:Sensing unit building in middle level is superimposed upon the ultrasonic sensor on U-shaped infrared sensing array, forms radius 5 The middle bit wide of rice is away from fan-shaped sensing unit;
Step 4:In upper layer sensing unit, building is superimposed upon the laser radar on ultrasonic sensor, the height that 100 meters of formation length Position narrow space rectangle sensing unit;
Step 5:Using host computer respectively from U-shaped sensing unit, middle bit wide away from fan-shaped sensing unit, high-order narrow space rectangle sensing unit, top Floor vision collecting area is synchronous to obtain Distance-sensing data and video stream data, and real-time integration constructs dynamic 3D modeling image data;
Step 6:Host computer plans obstacle route using dynamic 3D modeling image data, is handed down to robot execution;
Step 7:Frame data are read from video stream data, extract characteristic information, carry out characteristic matching, generate visual odometry number According to, corrected by visual odometry and data of the fused data of imu to robot chassis odometer, compensate because of robot Misalignment data caused by jolting or skidding;
Step 8:Characteristic information is accurately relocated by winding detection, and repeats step 6.
2. the outdoor automatic obstacle avoiding method according to claim 1 based on Fusion, which is characterized in that institute U row infrared sensing array is stated to be made of the infrared distance sensor that at least five is equidistantly arranged.
CN201810769403.0A 2018-07-13 2018-07-13 A kind of outdoor automatic obstacle avoiding method based on Fusion Pending CN108919806A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201810769403.0A CN108919806A (en) 2018-07-13 2018-07-13 A kind of outdoor automatic obstacle avoiding method based on Fusion

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201810769403.0A CN108919806A (en) 2018-07-13 2018-07-13 A kind of outdoor automatic obstacle avoiding method based on Fusion

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CN108919806A true CN108919806A (en) 2018-11-30

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111897338A (en) * 2020-08-04 2020-11-06 安徽国钜工程机械科技有限公司 Sensing system for shield construction method automatic driving horizontal transport locomotive
CN112612037A (en) * 2020-12-01 2021-04-06 珠海市一微半导体有限公司 Fusion positioning method and mobile robot

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20090045766A1 (en) * 2000-01-24 2009-02-19 Irobot Corporation Obstacle following sensor scheme for a mobile robot
CN202075626U (en) * 2011-04-14 2011-12-14 山东大学 Multi-sensor system of intelligent space and nurse robot
CN106598039A (en) * 2015-10-14 2017-04-26 山东鲁能智能技术有限公司 Substation patrol robot obstacle avoidance method based on laser radar
CN107703935A (en) * 2017-09-12 2018-02-16 安徽胜佳和电子科技有限公司 Multiple data weighting fusions carry out method, storage device and the mobile terminal of avoidance
CN108227523A (en) * 2017-11-01 2018-06-29 深圳乐动机器人有限公司 robot control method, device, storage medium and computer equipment

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20090045766A1 (en) * 2000-01-24 2009-02-19 Irobot Corporation Obstacle following sensor scheme for a mobile robot
CN202075626U (en) * 2011-04-14 2011-12-14 山东大学 Multi-sensor system of intelligent space and nurse robot
CN106598039A (en) * 2015-10-14 2017-04-26 山东鲁能智能技术有限公司 Substation patrol robot obstacle avoidance method based on laser radar
CN107703935A (en) * 2017-09-12 2018-02-16 安徽胜佳和电子科技有限公司 Multiple data weighting fusions carry out method, storage device and the mobile terminal of avoidance
CN108227523A (en) * 2017-11-01 2018-06-29 深圳乐动机器人有限公司 robot control method, device, storage medium and computer equipment

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111897338A (en) * 2020-08-04 2020-11-06 安徽国钜工程机械科技有限公司 Sensing system for shield construction method automatic driving horizontal transport locomotive
CN112612037A (en) * 2020-12-01 2021-04-06 珠海市一微半导体有限公司 Fusion positioning method and mobile robot
WO2022116657A1 (en) * 2020-12-01 2022-06-09 珠海一微半导体股份有限公司 Fused positioning method and mobile robot
CN112612037B (en) * 2020-12-01 2023-10-24 珠海一微半导体股份有限公司 Fusion positioning method and mobile robot

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