CN108958284A - A kind of unmanned plane obstacle avoidance system and method - Google Patents
A kind of unmanned plane obstacle avoidance system and method Download PDFInfo
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Abstract
The present invention provides a kind of unmanned plane obstacle avoidance system and methods, system includes: unmanned plane, in-line power unit, processor, for detecting at least two detection sensors of barrier, for determining the switch unit of main detection sensor mark, for transmitting flight control units of the acquisition data of main detection sensor to the data fusion control unit of processor and for executing unmanned plane during flying movement, main detection sensor mark is used for the main detection sensor of unique identification, main detection sensor be at least two detection sensors under current weather environment the highest detection sensor of environment sensing accuracy；At least two detection sensors and flight control units are installed in unmanned plane, switch unit, at least two detection sensors are connect with data fusion control unit, and in-line power unit, flight control units and data fusion control unit are connect with processor.Using the embodiment of the present invention, the success rate of unmanned plane avoiding obstacles is improved.
Description
Technical field
The present invention relates to air vehicle technique field more particularly to a kind of unmanned plane obstacle avoidance system and methods.
Background technique
With the continuous development of science and technology, unmanned plane is more and more intelligent, and unmanned plane obstacle avoidance system is increasingly becoming research
Hot spot.
Existing unmanned plane obstacle avoidance system usually requires to realize by human visual operation under avoidance or specified conditions (such as day
Gas in order, without strong illumination etc.) automatic obstacle avoiding, and existing unmanned plane obstacle avoidance system that there are obstacle recognition rates is low,
Identification types are few, (such as strong light, night, dense fog, sandstorm or heavy rain) obstacle detection speed is slow under extreme climate environment
Or the major techniques defect such as can not detect, cause the success rate of unmanned plane avoiding obstacles lower.
It is therefore desirable to design a kind of new unmanned plane obstacle avoidance system, to overcome the above problem.
Summary of the invention
It is an object of the invention to overcome the defect of the prior art, a kind of unmanned plane obstacle avoidance system and method are provided, with
Realize the success rate for improving unmanned plane avoiding obstacles.
The present invention is implemented as follows:
In a first aspect, the present invention provides a kind of unmanned plane obstacle avoidance system, comprising: unmanned plane, in-line power unit, processing
Device, the switch unit for determining main detection sensor mark, is used at least two detection sensors for detecting barrier
The acquisition data of main detection sensor are transmitted to the data fusion control unit of processor and dynamic for executing unmanned plane during flying
The flight control units of work, main detection sensor mark are used for the main detection sensor of unique identification, and the main detection sensor is
In at least two detection sensor under current weather environment the highest detection sensor of environment sensing accuracy；
At least two detection sensor and the flight control units are installed in the unmanned plane, the switching
Unit, at least two detection sensor are connect with the data fusion control unit, the in-line power unit, described
Flight control units and the data fusion control unit are connected to the processor.
Optionally, the in-line power unit, the processor, the data fusion control unit and the switching are single
Member is integrated in SoC system on chip, and the SoC system on chip is installed in the unmanned plane.
Optionally, the system also includes external power supply unit, the processor and the in-line power unit are and institute
State external power supply unit connection.
Optionally, at least two detection sensor includes: visual sensor and millimetre-wave radar sensor.
Optionally, at least two detection sensor includes: infrared sensor and ultrasonic sensor.
Optionally, the system also includes: carry out pretreated data prediction for the acquisition data to main detector
Unit, the switch unit, at least two detection sensor are connect with the data pre-processing unit, and the data are pre-
Processing unit is connect with the data fusion control unit.
Optionally, the system also includes: for detecting the meteorological detection unit of current weather environment；The meteorological detection
Unit is connect with the switch unit.
Second aspect, the present invention provide a kind of unmanned plane barrier-avoiding method, described applied to above-mentioned unmanned plane obstacle avoidance system
Method includes:
The barrier of each detection sensor sensorcraft local environment at least two detection sensor is believed
Breath forms acquisition data, and gives acquisition data transmission to data fusion control unit；
The switch unit determines main detection sensor mark, identified main detection sensor mark is sent to described
Data fusion control unit；Main detection sensor mark is used for the main detection sensor of unique identification, and the main detection sensor is
In at least two detection sensor under current weather environment the highest detection sensor of environment sensing accuracy；
The data fusion control unit obtains the acquisition data and the main spy of at least two detection sensor
Sensor identification is surveyed, and determines that having the detection sensor of the main detection sensor mark is main detection sensor, it will be described
The acquisition data of main detection sensor are sent to the processor；
The processor generates avoidance instruction based on the acquisition data of main detection sensor obtained, and the avoidance is referred to
Order is sent to the flight control units, and the avoidance instruction includes being used to indicate the flight that unmanned plane flies according to avoidance path
Action command；
The flight control units according to the flare maneuver instruction execution unmanned plane flare maneuver so that unmanned plane is kept away
Open barrier.
Optionally, the switch unit obtains main detection sensor mark, comprising:
The selection instruction for obtaining user regard the detection sensor mark in the selection instruction as main detection sensor mark
Know；Or,
Current weather environment is obtained, default weather environment table is searched with the current weather environment, obtains current weather ring
The corresponding detection sensor mark in border, identifies, wherein the default weather environment table is for storing gas as main detection sensor
As the corresponding relationship between environment and detection sensor mark, the corresponding detection sensor of a weather environment is identified as in the gas
As the mark of the highest detection sensor of environment sensing accuracy under environment.
Optionally, at least two detection sensor includes: visual sensor and millimetre-wave radar sensor.
The invention has the following advantages: processor can be based on using technical solution provided in an embodiment of the present invention
The acquisition data of main detector generate avoidance instruction, so that flight control units can be according to flare maneuver instruction execution unmanned plane
Flare maneuver so that unmanned plane avoiding obstacles, since main detection sensor is at least two detection sensors current
The highest detection sensor of environment sensing accuracy under weather environment, therefore, main detection sensor is to the accurate of obstacle detection
Highest is spent, the flare maneuver in avoidance instruction that the acquisition data based on main detection sensor generate instructs accuracy highest, from
And improve the success rate of unmanned plane avoiding obstacles.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention for those of ordinary skill in the art without creative efforts, can be with
Other attached drawings are obtained according to these attached drawings.
Fig. 1 is a kind of structural schematic diagram of unmanned plane obstacle avoidance system provided in an embodiment of the present invention；
Fig. 2 is a kind of flow diagram of unmanned plane barrier-avoiding method provided in an embodiment of the present invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts all other
Embodiment shall fall within the protection scope of the present invention.
To solve prior art problem, the present invention provides a kind of unmanned plane obstacle avoidance system and methods, below in conjunction with Fig. 1
Specific embodiment is illustrated.
As shown in Figure 1, a kind of unmanned plane obstacle avoidance system provided by the invention, system include: unmanned plane 101, in-line power
Unit 102, processor 103, at least two detection sensors 104 for detecting barrier, for determining main detection sensor
The switch unit 105 of mark, for transmitting the acquisition data of main detection sensor to the data fusion control unit 106 of processor
And the flight control units 107 for executing unmanned plane during flying movement, main detection sensor mark are used for the main spy of unique identification
Sensor is surveyed, the main detection sensor is that environment sensing is quasi- under current weather environment at least two detection sensor
The highest detection sensor of exactness；
At least two detection sensor 104 and the flight control units 107 are installed in the unmanned plane, institute
State switch unit, at least two detection sensor is connect with the data fusion control unit, the in-line power list
First, the described flight control units and the data fusion control unit are connected to the processor.
Above-mentioned processor 103 can be general processor, including central processing unit (Central Processing
Unit, abbreviation CPU), network processing unit (Network Processor, abbreviation NP) etc.；It can also be digital signal processor
(Digital Signal Processing, abbreviation DSP), specific integrated circuit (Application Specific
Integrated Circuit, abbreviation ASIC), field programmable gate array (Field-Programmable Gate Array,
Abbreviation FPGA) either other programmable logic device, discrete gate or transistor logic, discrete hardware components.Processor
It can store program in 103, processor 103 can execute the program of its storage, to realize the function of program.
Connection between each component can be electrical connection, and the mode being specifically electrically connected can be with are as follows: is connected by fieldbus
It connects, fieldbus includes PROFIBUS fieldbus, CAN (Controller Area Network, controller local area network) total
Line etc. can also be to be connected, alternatively, can be with are as follows: pass through what serial communication mode was established in addition to fieldbus by optical fiber
Wire/wireless connection etc..
In other implementations, data fusion control unit and flight control units can connect with in-line power unit
It connects, data fusion control unit and flight control units can be connected directly to processor by fieldbus.
In a kind of implementation, the in-line power unit, the processor, the data fusion control unit and institute
It states switch unit and is integrated in SoC system on chip, the SoC system on chip is installed in the unmanned plane, SoC (System on a
Chip, system on chip) it refers to integrating a complete system on a single chip, to all or part of necessary electronic circuits
Carry out the technology of packet grouping.
It certainly, can also be by in-line power unit 102, processor 103 and switch unit 105 in other implementations
It is integrated in SoC system on chip, data fusion control unit can be set in power supply unit can also be arranged in unmanned plane, unmanned plane
Part, data fusion control unit, at least two detection sensors and flight control units can be connect with power supply unit, this
When, SoC system on chip can be set in the other equipment in addition to unmanned plane, for example, can install in ground control centre,
Or in server, flight control units and data fused controlling unit can be wirelessly connected with processor at this time, to complete
Data communication, data fusion control unit between flight control units and processor and the data communication between processor.
In addition, present invention can also apply to the unmanned guide car in ground, underwater robot or nothings in addition to being applied to unmanned plane
The unmanned control use environment such as people's submariner device.Multiple groups SoC system on chip can be set in other implementations, in unmanned plane,
Data fusion control unit in every group of SoC system on chip can connect to processor.
In another implementation, the system also includes external power supply unit, the external power supply unit and the SoC
System on chip connection.
The environment sensing of unmanned plane refers to unmanned plane and obtains using detection sensor the information of unmanned plane local environment, example
Such as, the distance between the distance between barrier and unmanned plane, the quantity of barrier, barrier etc., environment sensing accuracy
Higher, the accuracy of the obstacle information of detection sensor detection is also higher.
Main detector is the highest spy of environment sensing accuracy under current weather environment at least two detection sensors
Sensor is surveyed, when the equal highest of the environment sensing accuracy for there are multiple detection sensors simultaneously, the quantity of main detector can have
It is multiple.When main detector has it is multiple when, data fusion control unit carries out data fusion to the acquisition data of all main detectors
Processing, using the acquisition data of main detector after Data Fusion as the acquisition data of main detection sensor, and by main detection
The acquisition data transmission of sensor is to processor, as long as directly passing the acquisition data of the main detector when main detection one
Give processor.
It should be noted that data fusion control unit can obtain the acquisition data of each detection sensor, and only
By the acquisition data transmission of main detector to processor, specific implementation can be with are as follows: by other spies in addition to main detector
The acquisition data for surveying sensor are arranged to invalid data, for example, the value of the acquisition data of other detection sensors can be arranged
For 0, -1, Fales, NULL or None etc..Data Fusion refers to using computer or embedded SoC processor on time
Sequence obtains the acquisition data of each main detector, is automatically analyzed, is integrated under certain criterion, to complete required decision and comment
The information processing technology estimating task and carrying out.
Illustratively, main detector is visual sensor and millimetre-wave radar sensor, other in addition to main detector
Detection sensor is infrared sensor and ultrasonic sensor, then data fusion control unit is by visual sensor and millimeter wave thunder
Acquisition data up to sensor carry out Data Fusion, and infrared sensor and ultrasonic sensor are arranged to invalid data,
By the acquisition data transmission of main detector after Data Fusion to processor.
At least two detection sensors include: visual sensor and millimetre-wave radar sensor, or include: infrared sensing
Device and ultrasonic sensor, or, comprising: visual sensor, millimetre-wave radar sensor, infrared sensor and supersonic sensing
Device.Each detection sensor can be with detection sensor mark come uniquely tagged.
Wherein, visual sensor is the instrument that external environment image information is obtained using optical element and imaging device, depending on
Feel that sensor mainly applies camera as sensor, visual sensor can be with are as follows: monocular cam, is stood rearview camera
Body camera, binocular camera and look around camera etc., it can carry out image procossing by the image taken to camera,
To calculate the characteristic quantity (area, center of gravity, length, chamfered shape, position etc.) of barrier, and output data and judging result conduct
For the acquisition data of the barrier.It is and available enough since resolution ratio of camera head is into being higher than other detection sensors
Environment detail, such as the positional relationship between the appearance of barrier, shape, barrier etc., the other kinds of spy of these details
Surveying sensor can not accomplish, therefore be believed that in the case where bright and clear (such as daytime does not haze, also without sandstorm),
The environment sensing accuracy highest of visual sensor, can be used as main detector；In the case where insufficient light, it can be used
His sensor can haze or sandstorm as main detector, such as at night using infrared sensor as main detector
In the case where, it can be using millimetre-wave radar sensor and/or ultrasonic sensor as main detector.
Theoretically, millimetre-wave radar sensor uses millimeter wave, and usual millimeter wave refers to that (wavelength is 30~300GHz frequency domain
1~10mm) electromagnetic wave, can be worked normally under the mal-conditions such as sleet, haze, sand and dust with round-the-clock, and have very strong
Anti- land clutter ability, therefore environment sensing accuracy of the millimetre-wave radar sensor under sandstorm or the weather that hazes be higher than vision
Sensor.Ultrasonic sensor is the sensor that ultrasonic signal is converted into other energy signals (usually electric signal), is surpassed
Sound wave is the mechanical wave that vibration frequency is higher than 20KHz.Ultrasonic wave is very big to the penetrating power of liquid, solid, therefore in rainy, sand and dust
Environment sensing accuracy under the sudden and violent or weather that hazes is also above visual sensor.Containing to infrared receiver tube generation in sunlight
The infrared ray of interference, infrared sensor is mostly in night use, and at night, the environment sensing accuracy of infrared sensor is higher than vision
Sensor.
Although ultrasonic sensor not will receive the interference of light, dust, smog, sound wave will receive under the scene of part
Interference, and if the scarce capacity that body surface reflects ultrasonic wave, unmanned plane obstacle avoidance system detect barrier it is effective away from
From that will reduce, the security risk of unmanned plane can be significantly improved.In general, if the material of reflection object is concrete floor,
The effective distance of ultrasonic wave is 5 meters, if material is not the smooth solids of plane, such as carpet, then ultrasonic wave is anti-
Penetrating and receiving will go wrong.Therefore in order to improve the effective distance of system detection barrier, ultrasonic sensor can be placed on nothing
Man-machine multiple directions, for example be set to fuselage four direction all around can hover in unmanned plane and when flight pair
Surrounding keeps monitoring；Or also can be set in fuselage following above and, to be avoided when taking off, declining and landing
Speed encounters very much barrier or ground fastly；Or left and right side in fuselage also can be set.
Infrared sensor can be set in fuselage following above and, and millimetre-wave radar sensor can be set before fuselage
The front and back in fuselage also can be set in side and rear, visual sensor, specifically, millimetre-wave radar sensor can be
SP70 series radar sensor,
Specifically, each detection sensor 104 at least two detection sensors can be with ring locating for sensorcraft 104
The obstacle information in border forms acquisition data, and will acquire data transmission to data fusion control unit 106；Switch unit 105
It can determine main detection sensor mark, and send identified main detection sensor mark to data fusion control unit
106；Data fusion control unit 106 can obtain the acquisition data and main detection sensing of at least two detection sensors 104
Device mark, and determine that having the detection sensor 104 of main detection sensor mark is main detection sensor, by main detection sensor
Acquisition data be sent to processor 103；Processor 103 can be generated based on the acquisition data of main detection sensor obtained
Avoidance instruction is sent to flight control units 107 by avoidance instruction, and avoidance instruction includes that flare maneuver instructs；To flight control
Unit 107 processed can be according to the flare maneuver of flare maneuver instruction execution unmanned plane 101, so that 101 avoiding obstacles of unmanned plane.
Each detection sensor 104 can form acquisition data, number with the obstacle information of sensorcraft local environment
The acquisition data of each detection sensor 104 can be obtained according to fused controlling unit 106, and only by main detection sensor 104
Acquisition data be sent to processor 103, and then processor 103 can be generated based on the acquisition data of main detection sensor 104
Avoidance instruction, since main detection sensor 104 is that environment sensing is quasi- under current weather environment at least two detection sensors
The highest detection sensor of exactness, therefore main detection sensor flies the accuracy highest of obstacle detection in avoidance instruction
Row action command accuracy highest, to improve the success rate of unmanned plane avoiding obstacles.
The acquisition data of detection sensor can be between the distance between barrier and unmanned plane, barrier and barrier
Distance, the quantity of barrier, size, shape etc., so that processor can use existing Robot dodge strategy, based on being obtained
Main detection sensor acquisition data, generate avoidance instruction, and MavLink (Micro Air Vehicle can be passed through
Link, micro-air-vehicles connection protocol) communication protocol by avoidance instruction be sent to flight control units.Common Robot dodge strategy packet
It includes: Visual Graph method, Artificial Potential Field Method, VFH (Vector Field Histogram, vector section column figure method) strategy etc..
MavLink is a kind of communication protocol for miniature self-service carrier, which can be applied between unmanned plane internal subsystems
Communication, also can be applied to the communication between unmanned plane and other equipment, unmanned plane can be unmanned Fixed Wing AirVehicle, nothing
People's rotor craft etc..It may include flare maneuver instruction in avoidance instruction, so that flight control units can be directly according to winged
Instruction execution flare maneuver is made in action.It may include the letter such as flight coordinate, flying speed, flight angle in flare maneuver instruction
Breath, flare maneuver instruction can be used to refer to unmanned plane avoiding obstacles.
In a kind of implementation, switch unit can determine main detection sensor mark, specifically, switch unit can mention
For human-computer interaction interface, so that it is determined that the mode of main detection sensor mark can be with are as follows: obtain user for selecting main detection
The selection instruction of device identifies the detection sensor mark in selection instruction as main detection sensor.
Alternatively, in another implementation, switch unit can obtain current weather environment, with the current weather ring
Default weather environment table is searched in border, the corresponding detection sensor mark of current weather environment is obtained, as main detection sensor mark
Know, wherein default weather environment table is a tables of data, corresponding between weather environment and detection sensor mark for storing
Relationship, the corresponding detection sensor of a weather environment are identified as the highest detection of environment sensing accuracy under the weather environment
The mark of sensor.
In other implementations, switch unit can also determine main detection sensor mark using other existing modes
Know.
When occurring abnormal for in-line power unit 102, guarantees that SoC system on chip can still obtain electric energy, keep just
Often work, in a kind of implementation, system can also include external power supply unit, external power supply unit and in-line power unit
102 connections, external power supply unit are connect with processor 103.
Whether the electricity that processor 103 can detecte out in-line power unit 102 is sufficient, for example, working as in-line power unit
When 102 electricity is lower than preset threshold, it is believed that the electricity of in-line power unit 102 is inadequate, at this point it is possible to trigger outside
Power supply unit work, external power supply unit in a triggered, internally power, or can also be directly to processor by power supply unit
Power supply, or can also power to processor, and charge to in-line power unit, occur to realize in power supply unit 102
When abnormal, guarantee system can still obtain electric energy.
External power supply unit can for dry cell, battery or lithium battery etc., in-line power unit can for power circuit,
Power-supply controller of electric/driver, power power-supply or other common powers.
In a kind of implementation, in order to improve system reliability, system can also include: for the acquisition to main detector
Data carry out pretreated data pre-processing unit, switch unit, at least two detection sensors 104 with data prediction list
Member connection, data pre-processing unit are connect with data fusion control unit 106.
Data pre-processing unit can obtain the acquisition data and main detector mark of each detection sensor transmission, determine
With main detection sensor mark detection sensor be main detection sensor, and then to the acquisition data of main detection sensor into
Row pretreatment, and give the acquisition data transmission of pretreated main detection sensor to data fusion control unit.
The present invention to specific pretreatment mode without limitation, for example, can be using existing data cleansing algorithm to adopting
Duplicate message in collection data is deleted, corrects mistake present in acquisition data, and provides data consistency, alternatively,
Interference and the noise etc. in data can be acquired using the removal of existing Kalman filtering algorithm, it can also be existing using other
Data prediction mode.
Pretreatment by data pre-processing unit to acquisition data, improves that data fusion control unit is obtained to adopt
Collect the reliability of data, and then improves system reliability.
In a kind of implementation, the system can also include: the meteorological detection unit for detecting current weather environment；
The meteorology detection unit is connect with the switch unit.
Meteorological detection unit can with real-time detection weather environment, can for existing weather detector, weather monitoring instrument etc.,
The current weather environmental information that meteorological detection unit can will test is sent to switch unit, and in turn, switch unit is obtaining
After weather environment information, main detection sensor mark can be determined according to weather environment information.
Alternatively, meteorological detection unit can detecte current weather environment, and can be determined according to current weather environment at this
The highest detection sensor of environment sensing accuracy under weather environment, using the mark of identified detection sensor as main detection
Sensor identification sends main detection sensor mark to the switch unit, so that switch unit can directly acquire main detection
Sensor identification.
Corresponding with above-mentioned unmanned plane obstacle avoidance system, the embodiment of the present invention also provides a kind of unmanned plane barrier-avoiding method.
It is a kind of flow diagram of unmanned plane barrier-avoiding method provided by the embodiment of the present invention, method referring to such as 2, Fig. 2
Applied to unmanned plane obstacle avoidance system, which comprises
The obstacle information of each detection sensor sensorcraft local environment at least two detection sensors, shape
Data fusion control unit is given at acquisition data, and by acquisition data transmission；
Switch unit determines main detection sensor mark, sends identified main detection sensor mark to data fusion
Control unit；Main detection sensor mark is used for the main detection sensor of unique identification, and main detection sensor is at least two detections
In sensor under current weather environment the highest detection sensor of environment sensing accuracy；
Data fusion control unit obtains the acquisition data and main detection sensor mark of at least two detection sensors,
And determine that having the detection sensor of main detection sensor mark is main detection sensor, by the acquisition data of main detection sensor
It is sent to processor；
Processor generates avoidance instruction based on the acquisition data of main detection sensor obtained, and avoidance instruction is sent to
Flight control units, avoidance instruction include being used to indicate unmanned plane to instruct according to the flare maneuver that avoidance path is flown；
Flight control units according to flare maneuver instruction execution unmanned plane flare maneuver so that unmanned plane avoids obstacle
Object.
Using technical solution provided in an embodiment of the present invention, processor can be generated based on the acquisition data of main detector and be kept away
Barrier instruction, so that flight control units can be according to the flare maneuver of flare maneuver instruction execution unmanned plane, so that unmanned plane is kept away
Barrier is opened, since main detection sensor is the environment sensing accuracy under current weather environment at least two detection sensors
Highest detection sensor, therefore, main detection sensor is to the accuracy highest of obstacle detection, based on main detection sensor
The flare maneuver acquired in the avoidance instruction that data generate instructs accuracy highest, to improve unmanned plane avoiding obstacles
Success rate.
Optionally, switch unit obtains main detection sensor mark, comprising:
The selection instruction for obtaining user identifies the detection sensor mark in selection instruction as main detection sensor；
Or,
Current weather environment is obtained, default weather environment table is searched with current weather environment, obtains current weather environment pair
The detection sensor mark answered, identifies as main detection sensor, wherein default weather environment table for store weather environment with
Corresponding relationship between detection sensor mark, the corresponding detection sensor of a weather environment are identified as under the weather environment
The mark of the highest detection sensor of environment sensing accuracy.
Optionally, at least two detection sensors include: visual sensor and millimetre-wave radar sensor.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all in essence of the invention
Within mind and principle, any modification, equivalent replacement, improvement and so on be should all be included in the protection scope of the present invention.
Claims (10)
1. a kind of unmanned plane obstacle avoidance system characterized by comprising unmanned plane, in-line power unit, processor, for detecting
At least two detection sensors of barrier, the switch unit for determining main detection sensor mark, for transmitting main detection
Flight control of the acquisition data of sensor to the data fusion control unit of processor and for executing unmanned plane during flying movement
Unit processed, main detection sensor mark are used for the main detection sensor of unique identification, and the main detection sensor is described at least two
In a detection sensor under current weather environment the highest detection sensor of environment sensing accuracy；
At least two detection sensor and the flight control units are installed in the unmanned plane, and the switching is single
First, described at least two detection sensor is connect with the data fusion control unit, the in-line power unit, it is described fly
Row control unit and the data fusion control unit are connected to the processor.
2. system according to claim 1, which is characterized in that the in-line power unit, the processor, the data
Fused controlling unit and the switch unit are integrated in SoC system on chip, the SoC system on chip install in it is described nobody
Machine.
3. system according to claim 2, which is characterized in that the system also includes external power supply unit, the processing
Device and the in-line power unit are connect with the external power supply unit.
4. system according to claim 1 or 2, which is characterized in that at least two detection sensor includes: that vision passes
Sensor and millimetre-wave radar sensor.
5. system according to claim 1, which is characterized in that at least two detection sensor includes: infrared sensing
Device and ultrasonic sensor.
6. system according to claim 1, which is characterized in that the system also includes: for the acquisition to main detector
Data carry out pretreated data pre-processing unit, the switch unit, at least two detection sensor with the number
The connection of Data preprocess unit, the data pre-processing unit are connect with the data fusion control unit.
7. system according to claim 1, which is characterized in that the system also includes: for detecting current weather environment
Meteorological detection unit；The meteorology detection unit is connect with the switch unit.
8. a kind of unmanned plane barrier-avoiding method, which is characterized in that be applied to system described in claim 1, which comprises
The obstacle information of each detection sensor sensorcraft local environment at least two detection sensor, shape
Data fusion control unit is given at acquisition data, and by acquisition data transmission；
The switch unit determines main detection sensor mark, sends identified main detection sensor mark to the data
Fused controlling unit；Main detection sensor mark is used for the main detection sensor of unique identification, and the main detection sensor is described
In at least two detection sensors under current weather environment the highest detection sensor of environment sensing accuracy；
The data fusion control unit obtains the acquisition data of at least two detection sensor and the main detection passes
Sensor mark, and determine that having the detection sensor of the main detection sensor mark is main detection sensor, by the main spy
The acquisition data for surveying sensor are sent to the processor；
The processor generates avoidance instruction based on the acquisition data of main detection sensor obtained, and the avoidance is instructed and is sent out
The flight control units are given, the avoidance instruction includes being used to indicate the flare maneuver that unmanned plane flies according to avoidance path
Instruction；
The flight control units according to the flare maneuver instruction execution unmanned plane flare maneuver so that unmanned plane is avoided hindering
Hinder object.
9. according to the method described in claim 8, it is characterized in that, the switch unit obtains main detection sensor mark, packet
It includes:
The selection instruction for obtaining user identifies the detection sensor mark in the selection instruction as main detection sensor；
Or,
Current weather environment is obtained, default weather environment table is searched with the current weather environment, obtains current weather environment pair
The detection sensor mark answered, identifies, wherein the default weather environment table is for storing meteorological ring as main detection sensor
Corresponding relationship between border and detection sensor mark, the corresponding detection sensor of a weather environment are identified as in the meteorology ring
The mark of the highest detection sensor of environment sensing accuracy under border.
10. according to the method described in claim 8, it is characterized in that, at least two detection sensor includes: visual sensing
Device and millimetre-wave radar sensor.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109407708A (en) * | 2018-12-11 | 2019-03-01 | 湖南华诺星空电子技术有限公司 | A kind of accurate landing control system and Landing Control method based on multi-information fusion |
| CN109696920A (en) * | 2018-12-13 | 2019-04-30 | 广州极飞科技有限公司 | Operating equipment and its control method and device |
| CN110147109A (en) * | 2019-05-21 | 2019-08-20 | 重庆长安汽车股份有限公司 | A kind of archetype development system of automated driving system |
| CN112156405A (en) * | 2020-09-11 | 2021-01-01 | 长沙中联消防机械有限公司 | Auxiliary driving safety protection system and method in fire scene and fire fighting equipment |
| CN113975109A (en) * | 2021-10-19 | 2022-01-28 | 苏州炳旭工业产品设计有限公司 | Intelligent visual impairment identification method and application |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103019245A (en) * | 2013-01-07 | 2013-04-03 | 西北农林科技大学 | Obstacle avoidance system of mountain farming robot on basis of multi-sensor information fusion |
| CN107065920A (en) * | 2016-12-26 | 2017-08-18 | 歌尔科技有限公司 | Avoidance obstacle method, device and unmanned plane |
| US20180033318A1 (en) * | 2016-07-29 | 2018-02-01 | Ge Aviation Systems Llc | Sense and avoid maneuvering |
| WO2018058442A1 (en) * | 2016-09-29 | 2018-04-05 | 深圳市大疆创新科技有限公司 | Method and device for panning route, flight control system, omnidirectional obstacle avoidance system, and unmanned aerial vehicle |
| CN108205325A (en) * | 2018-03-19 | 2018-06-26 | 徐州艾奇机器人科技有限公司 | A kind of round-the-clock unmanned cruiser system of four-wheel drive low speed |
-
2018
- 2018-06-29 CN CN201810692666.6A patent/CN108958284B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103019245A (en) * | 2013-01-07 | 2013-04-03 | 西北农林科技大学 | Obstacle avoidance system of mountain farming robot on basis of multi-sensor information fusion |
| US20180033318A1 (en) * | 2016-07-29 | 2018-02-01 | Ge Aviation Systems Llc | Sense and avoid maneuvering |
| WO2018058442A1 (en) * | 2016-09-29 | 2018-04-05 | 深圳市大疆创新科技有限公司 | Method and device for panning route, flight control system, omnidirectional obstacle avoidance system, and unmanned aerial vehicle |
| CN107065920A (en) * | 2016-12-26 | 2017-08-18 | 歌尔科技有限公司 | Avoidance obstacle method, device and unmanned plane |
| CN108205325A (en) * | 2018-03-19 | 2018-06-26 | 徐州艾奇机器人科技有限公司 | A kind of round-the-clock unmanned cruiser system of four-wheel drive low speed |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109407708A (en) * | 2018-12-11 | 2019-03-01 | 湖南华诺星空电子技术有限公司 | A kind of accurate landing control system and Landing Control method based on multi-information fusion |
| CN109696920A (en) * | 2018-12-13 | 2019-04-30 | 广州极飞科技有限公司 | Operating equipment and its control method and device |
| CN109696920B (en) * | 2018-12-13 | 2021-06-15 | 广州极飞科技股份有限公司 | Work device, and control method and device thereof |
| CN110147109A (en) * | 2019-05-21 | 2019-08-20 | 重庆长安汽车股份有限公司 | A kind of archetype development system of automated driving system |
| CN112156405A (en) * | 2020-09-11 | 2021-01-01 | 长沙中联消防机械有限公司 | Auxiliary driving safety protection system and method in fire scene and fire fighting equipment |
| CN113975109A (en) * | 2021-10-19 | 2022-01-28 | 苏州炳旭工业产品设计有限公司 | Intelligent visual impairment identification method and application |
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