CN105892464A - Special car automatic driving system based on fixed routes and driving method for same - Google Patents

Special car automatic driving system based on fixed routes and driving method for same Download PDF

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Publication number
CN105892464A
CN105892464A CN201610288789.4A CN201610288789A CN105892464A CN 105892464 A CN105892464 A CN 105892464A CN 201610288789 A CN201610288789 A CN 201610288789A CN 105892464 A CN105892464 A CN 105892464A
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information
vehicle
route
unit
processing unit
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田雨农
周秀田
李丹
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Dalian Roiland Technology Co Ltd
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Dalian Roiland Technology Co Ltd
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Priority to CN201610288789.4A priority Critical patent/CN105892464A/en
Publication of CN105892464A publication Critical patent/CN105892464A/en
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    • 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
    • G05D1/0257Control of position or course in two dimensions specially adapted to land vehicles using a radar

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  • Engineering & Computer Science (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Remote Sensing (AREA)
  • Aviation & Aerospace Engineering (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • Traffic Control Systems (AREA)
  • Navigation (AREA)

Abstract

The invention provides a special car automatic driving system based on fixed routes and a driving method for the same. The system comprises a running state detection unit, a barrier information detection unit, a barrier information processing unit, a mode selection unit, an image collection unit, an image processing unit, a main control unit, a fixed route information storage unit and an execution unit, wherein the running state detection unit, the barrier information processing unit, the image processing unit, the mode selection unit and the fixed route information storage unit are connected to the main control unit; the barrier information processing unit is also connected to the barrier information detection unit; and the image processing unit is also connected to the image collection unit and the barrier information processing unit respectively. The system and the method provided by the invention have the advantages that fixed route information of a planned vehicle running route can be generated automatically according to collected information; transportability is high; a barrier misjudgment rate is low; vehicle lane judgment is accurate; the planned route is more rational; and automatic driving is safer, etc.

Description

Special-purpose vehicle automated driving system based on route and drive manner thereof
Technical field
The invention belongs to Advanced Automotive Automatic Control field, a kind of based on route Special-purpose vehicle automated driving system and drive manner.
Background technology
One of hot spot technology that automatic Pilot technology is always studied in the industry, with driver completely Control mode is compared, and automatic Pilot has great advantage, is mainly reflected in reduction vehicle accident Incidence rate, reduce the energy that user consumes on driving, the aspect such as threshold reducing driver.
Automatic Pilot technology is particularly suited for often travelling in one or more route Vehicle, such as: regular bus, private car, school bus etc. often travel on the special-purpose vehicle in route, so And, existing automated driving system there is problems in that
1, existing automated driving system has all been integrated on vehicle when vehicle release, Cannot transplant;
2, in the map data base of existing automated driving system, the route information of storage all passes through Manually measure acquisition specially, or obtain from existing cartographic information of increasing income, the former measurement Journey need to expend substantial amounts of manpower financial capacity, can comprise a large amount of for automatically driving in the cartographic information of the latter Sail useless information, committed memory space;
3, existing automated driving system is not accurate enough to the detection of barrier so that planning Local path is unreasonable;
4, the location equipment positioning precision that existing automated driving system uses is the highest, detects The position of vehicle not accurate enough, cause searching map data base according to the positional information detected The lane information in the track, vehicle place obtained is with the lane information in track, vehicle actual place not Unanimously, the path planning of vehicle is produced serious influence.
Summary of the invention
There is disadvantages mentioned above or deficiency for prior art, the invention provides a kind of based on solid The special-purpose vehicle automated driving system of fixed line and drive manner thereof, can be raw according to the information collected Become vehicle to treat the route information of travel route, there is portable strong, the barrier of vehicle periphery The False Rate hindering thing is low, track, vehicle place accuracy of judgement, planning path more rationally, automatically Drive the advantages such as safer.
For achieving the above object, the invention provides a kind of special-purpose vehicle based on route automatic Control loop, including:
Travel condition detector unit, for detecting the position of vehicle, speed and attitude information, and The information detected is sent to main control unit;
Obstacle information detector unit, for detecting the obstacle information of vehicle periphery, and will inspection The obstacle information measured is sent to obstacle information processing unit;
Obstacle information processing unit, processes the obstacle information received, and at general Obstacle information after reason is sent to graphics processing unit;This unit is additionally operable to what basis received The barrier confirmation of graphics processing unit feedback generates and comprises all barriers being firmly established Hinder the barrier grid map of thing, and described barrier grid map information is sent to main control unit;
Mode selecting unit, for receiving the mode selecting information in the external world, and selects described pattern Information of selecting sends to main control unit, and wherein, selectable pattern includes route information gathering Pattern and automatic driving mode;
Image acquisition units, the image information around collection vehicle, and described image is believed Breath sends to graphics processing unit;
Graphics processing unit, according to the environmental information of the image information identification vehicle periphery received, When system is in route information Collection Mode, quiet in graphics processing unit identification image State environmental information, and the static context information that will identify that is sent to main control unit;At system When automatic driving mode, the traffic mark information in graphics processing unit identification image is with dynamic Environmental information, afterwards, the traffic mark information that will identify that sends to main control unit, will identify The dynamic environment information gone out and obstacle information processing unit send the obstacle information come to be carried out Merge, obtain barrier confirmation, and described barrier confirmation is sent to barrier Information process unit;
Main control unit, receives mode selecting unit and sends the mode selecting information of coming, and according to connecing The mode selecting information received performs corresponding task, wherein, when system is in route information During drainage pattern, main control unit sends according to travel condition detector unit and graphics processing unit Information generate vehicle and treat the route information of travel route, and by described route information It is updated to route information memory cell, when system is in automatic driving mode, master control list Unit determines track, vehicle place according to the traffic mark information received, and believes according to the position of vehicle Breath searches route information memory cell to obtain track, vehicle place and the car in neighbouring track Road information and speed-limiting messages according to position information correction vehicle corresponding to track, vehicle place Positional information, according to the vehicle position after barrier grid map information, traffic mark information, correction Confidence breath and route information, generate the sector planning path of vehicle, and according to the speed of vehicle Spend and send the control corresponding with the sector planning path generated with attitude information to performance element Instruction;
Route information memory cell, the route letter come for storing main control unit to send Breath;
Performance element, for controlling speed and the steering angle of vehicle;
Described travel condition detector unit, obstacle information processing unit, graphics processing unit, Mode selecting unit, route information memory cell are all connected with main control unit, described obstacle Thing information process unit is also connected with obstacle information detector unit, and described graphics processing unit is also It is connected with image acquisition units and obstacle information processing unit respectively.
Further, this system also includes and the RCU of main control unit wireless connections, is used for Control instruction is sent, to adjust speed and the steering angle of vehicle to main control unit.
Further, the selectable pattern of described mode selecting unit also includes actively driving mould Formula, when system has the initiative driving model, main control unit abandons the control to performance element, The speed of vehicle and steering angle are completely by Artificial Control.
Further, this system also includes manpower intervention detector unit, automatically drives when system is in When sailing pattern, if be detected that manpower intervention is driven, manpower intervention detector unit is to main control unit Send signal, after main control unit receives this signal, abandon the control to performance element, vehicle Speed and steering angle completely by Artificial Control.
Further, obstacle information detector unit, including laser radar, millimetre-wave radar And ultrasonic radar, wherein, vehicle front is provided with laser radar unit and 77G millimetre-wave radar, The both sides of vehicle front and the both sides of rear vehicle end are provided with 24G millimetre-wave radar, vehicle two Side and rear vehicle end are provided with ultrasonic radar.
Present invention also offers a kind of special-purpose vehicle automatic Pilot method based on route, including Following steps:
S1: according to the vehicle travel condition information detected and the image letter collecting vehicle periphery Breath generates vehicle and treats the route information of travel route and store, wherein, and described travel condition Information includes the position of vehicle, speed and attitude information;
S2: the travel condition information of detection vehicle and the obstacle information of vehicle periphery, collecting vehicle Image information around, and travel condition information, obstacle information and image information are carried out Process, generate the sector planning path of vehicle,
Wherein, described process includes:
According to the environmental information of image information identification vehicle periphery, described environmental information includes traffic Identification information and dynamic environment information;
The dynamic environment information that will identify that merges with the obstacle information detected, to vehicle Barrier around carries out secondary-confirmation, and dyspoiesis thing nformation grid figure;
Track, vehicle place is determined according to the traffic mark information identified;
Positional information according to the vehicle detected searches the route information of storage, it is thus achieved that car Track, place and the lane information in neighbouring track and speed-limiting messages, meanwhile, according to vehicle place The positional information of the position information correction vehicle that track is corresponding;
According to the vehicle position information after barrier grid map information, traffic mark information, correction With route information, generate the sector planning path of vehicle;
S3: send the control instruction corresponding with the sector planning path generated to performance element, To control speed and the steering angle of vehicle.
Further, the method also includes receiving telecommand, and adjusts car according to described instruction Speed and the step of steering angle.
Further, the method also includes being adjusted to vehicle by automatic driving mode actively driving Pattern or be adjusted to the step of automatic driving mode by active driving model, when vehicle has the initiative During driving model, main control unit abandons the control to performance element, the speed of vehicle and steering angle Completely by Artificial Control.
Further, the method also includes that vehicle is during automatic Pilot, it may be judged whether have people Work gets involved the step driven, and when having detected that manpower intervention is driven, vehicle is by automatic driving mode Be converted to actively driving model.
Further, the obstacle information of vehicle periphery passes through detections of radar, wherein, vehicle Front end is provided with laser radar and 77G millimetre-wave radar, the both sides of vehicle front and rear vehicle end Both sides be provided with 24G millimetre-wave radar, vehicle both sides and rear vehicle end are provided with ultrasonic Ripple radar.
Due to the fact that the above technical scheme of employing, it is possible to obtain following technique effect: this base Special-purpose vehicle automated driving system in route is particularly suited for often travelling on route Vehicle, can after be loaded on vehicle, portable strong;This automated driving system can be at vehicle Generate vehicle according to the travel condition information collected and image information during traveling to wait to go Sailing the route information of route, the acquisition method of this route information is simple and convenient, subtracts Lack the consumption of manpower and cost;During automatic Pilot, the barrier of vehicle periphery obtains Arrive dyspoiesis thing grid map letter after the dual confirmation of image and obstacle information detector unit Breath, reduces the False Rate of barrier;By the traffic mark information identified from image Can accurately determine track, vehicle place, it is also possible to thereby determine that the feelings of automotive run-off-road line Condition, can obtain this track and the car in neighbouring track by searching route information memory cell Road information and speed-limiting messages, meanwhile, according to the car obtained from route information memory cell The positional information that track, place is corresponding may also correct for the positional information of vehicle, main control unit root According to above-mentioned barrier grid map information, traffic mark information, correction after vehicle position information and Route information, can make rational planning for vehicle running path according to default rule, and raising is driven The safety sailed.
Accompanying drawing explanation
The present invention has accompanying drawing 2 width:
Fig. 1 is the structured flowchart of special-purpose vehicle automated driving system based on route;
Fig. 2 is the flow chart of special-purpose vehicle automatic Pilot method based on route.
Detailed description of the invention
Below by embodiment, and combine accompanying drawing, technical scheme is made further Illustrate.
As it is shown in figure 1, the invention provides a kind of special-purpose vehicle automatic Pilot based on route System, including: travel condition detector unit, obstacle information detector unit, obstacle information Processing unit, mode selecting unit, image acquisition units, graphics processing unit, main control unit, Route information memory cell and performance element, described travel condition detector unit, obstacle Thing information process unit, graphics processing unit, mode selecting unit, route information store Unit is all connected with main control unit, and described obstacle information processing unit is also examined with obstacle information Survey unit be connected, described graphics processing unit the most respectively with image acquisition units and obstacle information Processing unit is connected.
Travel condition detector unit, for detecting the position of vehicle, speed and attitude information, and The information detected is sent to main control unit, and wherein, described travel condition detector unit includes Location equipment, gyroscope, accelerometer and compass, described location equipment can be GPS;
Obstacle information detector unit, for detecting the obstacle information of vehicle periphery, and will inspection The obstacle information measured is sent to obstacle information processing unit, and wherein, described barrier is believed Breath includes the position of barrier relative vehicle, speed and barrier characteristic etc., described obstacle Thing information detecting unit can be radar, it is preferable that vehicle front is provided with laser radar and 77G Millimetre-wave radar, the both sides of vehicle front and the both sides of rear vehicle end are provided with 24G millimeter wave Radar, both sides and the rear vehicle end of vehicle are provided with ultrasonic radar;
Obstacle information processing unit, sends, for receiving obstacle information detector unit, the barrier of coming Hinder thing information and described obstacle information is processed, afterwards, the barrier letter after processing Breath is sent to graphics processing unit, and described obstacle information processing unit is additionally operable to according to receiving The barrier confirmation of graphics processing unit feedback generate and comprise all being firmly established The barrier grid map of barrier, and described barrier grid map information is sent to master control list Unit;
Mode selecting unit, for receiving the mode selecting information in the external world, and selects described pattern Information of selecting sends to main control unit, and wherein, selectable pattern includes route information gathering Pattern and automatic driving mode;
Image acquisition units, the image information around collection vehicle, and described image is believed Breath sends to graphics processing unit, and wherein, image acquisition units can be photographic head;
Graphics processing unit, believes according to the environment of the image information identification vehicle periphery received Breath, when system is in route information Collection Mode, in graphics processing unit identification image Static context information, and the static context information that will identify that sends to main control unit, wherein, Described static context information at least includes lane line information, track oriented identification information and speed limitation board Information, wherein, lane line information includes deficiency and excess and the HUANGBAI(sic) information of lane line, speed limitation board information Including the speed-limiting messages of mark on speed limitation board, static context information can also include that stop line is believed Breath, zebra crossing information, traffic lights information;When system is in automatic driving mode, at image Traffic mark information in reason unit identification image and dynamic environment information, wherein, described traffic Identification information includes that lane line information, stop line information, zebra crossing information, lights state are believed Breath, dynamic environment information includes front vehicles information, pedestrian information etc., afterwards, image procossing The traffic mark information that unit will identify that sends to main control unit, the dynamic environment that will identify that Information and obstacle information processing unit send the obstacle information come and merge, and obtain obstacle Thing confirmation, and described barrier confirmation is sent to obstacle information processing unit;
Main control unit, receives mode selecting unit and sends the mode selecting information of coming, and according to connecing The mode selecting information received performs corresponding task, wherein, when system is in route information During drainage pattern, main control unit sends according to travel condition detector unit and graphics processing unit Information generate vehicle and treat the route information of travel route, and by described route information It is updated to route information memory cell, specifically, controls vehicle along described route row Sail, in the process of moving, according to practical situation according in default distance calibration route Point, and send, according to graphics processing unit, the static context information of coming, generate vehicle road to be travelled The route information of line, wherein it is possible to repeatedly travel to and fro between described fixing road by controlling vehicle Line gathers road information to improve the accuracy of route information;Automatically drive when system is in When sailing pattern, main control unit determines according to the lane line information in the traffic mark information received Which bar track vehicle is positioned at, and sends the positional information come according to travel condition detector unit and searches Route information memory cell, to obtain the lane information near this position and speed-limiting messages, is combined Close image information and route information, it is thus achieved that the track letter in track, vehicle place and neighbouring track Breath, wherein, described lane information includes deficiency and excess HUANGBAI(sic) information and the track oriented identification of lane line Information, meanwhile, according to the positional information of position information correction vehicle corresponding to track, vehicle place, To improve the accuracy of the location to vehicle, it addition, when route information memory cell is deposited When the route information of storage includes the positional information of stop line, zebra crossing, traffic lights, will be from The stop line that identifies in image, zebra crossing, traffic lights positional information with according to traveling shape State detector unit send come positional information search route memory element obtain stop line, Zebra crossing, the positional information of traffic lights contrast, and can correct the position letter of vehicle further Breath, improve the accuracy to vehicle location, main control unit according to barrier grid map information, Vehicle position information after traffic mark information, correction and route information, according to setting in advance Fixed rule, generates the sector planning path of vehicle, and according to the real-time speed of vehicle and attitude Information sends the control instruction corresponding with the sector planning path generated to performance element;
Route information memory cell, the route letter come for storing main control unit to send Breath;
Performance element, including throttle control, brake monitor, gear controller with turn to control Device processed, for controlling speed and the steering angle of vehicle.
This system can during vehicle is advanced according to the travel condition information that collects and Image information generates vehicle and treats the route information of travel route, this route information Acquisition method is simple and convenient, decreases the consumption of manpower and cost;The barrier of vehicle periphery obtains Arrive dyspoiesis thing grid map letter after the dual confirmation of image and obstacle information detector unit Breath, reduces the False Rate of barrier;The lane line information identified from image can be accurate Determine track, vehicle place, it is also possible to thus obtain the offset information of vehicle and lane line, logical Cross lookup route information memory cell and can obtain the track letter in this track and neighbouring track Breath and speed-limiting messages, meanwhile, according to the vehicle institute obtained from route information memory cell The positional information corresponding in track may also correct for the positional information of vehicle, to improve vehicle Location accuracy, main control unit according to above-mentioned barrier grid map information, traffic mark information, Vehicle position information after correction and route information, can rationally advise according to default rule Draw vehicle running path, improve the safety driven.
In order to realize the long-range control to vehicle, as the improvement of technical scheme, this system is also wrapped Include and the RCU of main control unit wireless connections, for sending control instruction to main control unit, To adjust speed and the steering angle of vehicle.
As the improvement of technical scheme, the selectable pattern of described mode selecting unit also includes main Dynamic driving model, when system has the initiative driving model, main control unit is abandoned performance element Control, the speed of vehicle and steering angle are completely by Artificial Control.
As the improvement of technical scheme, this system also includes manpower intervention detector unit, works as system When being in automatic driving mode, if be detected that manpower intervention is driven, manpower intervention detector unit Send signal to main control unit, after main control unit receives this signal, abandon performance element Controlling, the speed of vehicle and steering angle by Artificial Control, are as good as with normal pilot steering completely.
Automatically drive as in figure 2 it is shown, present invention also offers a kind of special-purpose vehicle based on route Sail method, can realize in said system, comprise the steps:
S1: according to the image of the vehicle travel condition information detected with the vehicle periphery collected Information generates vehicle and treats the route information of travel route and store, wherein, and described traveling shape State information includes the position of vehicle, speed and attitude information;
Special-purpose vehicle often travels in one or more route, at system start-up automatic Pilot Before pattern, first starting route information Collection Mode, Artificial Control vehicle is along route Travel, in the process of moving, according to practical situation according to default distance along route at it Upper fixed point, detects the travel condition information of vehicle, and collecting vehicle respectively at each fixed point Image information around, afterwards, the static context information in identification image information, wherein, Described static context information at least includes lane line information, track oriented identification information and speed limitation board Information, wherein, lane line information includes deficiency and excess and the HUANGBAI(sic) information of lane line, speed limitation board information Including the speed-limiting messages of mark on speed limitation board, static context information can also include that stop line is believed Breath, zebra crossing information, traffic lights information, comprehensive travel condition information and the static ring identified Environment information, generates the route information of this route, furthermore it is possible to by controlling vehicle Repeatedly travel to and fro between described route to gather information to improve the accuracy of route information;
S2: the travel condition information of detection vehicle and the obstacle information of vehicle periphery, collecting vehicle Image information around, and travel condition information, obstacle information and image information are carried out Process, generate the sector planning path of vehicle,
Wherein, travel condition information includes vehicle location, speed and attitude information, vehicle periphery Obstacle information include the position of barrier relative vehicle, speed and barrier characteristic etc., Preferably, obstacle information pass through detections of radar, wherein, vehicle front be provided with laser radar and 77G millimetre-wave radar, the both sides of vehicle front and the both sides of rear vehicle end are provided with 24G milli Metre wave radar, vehicle both sides and rear vehicle end be provided with ultrasonic radar, the figure of vehicle periphery As information is by camera collection, the image information of vehicle periphery passes through camera collection;
Wherein, travel condition information, obstacle information and image information are processed concrete bag Include following steps:
According to the environmental information of image information identification vehicle periphery, described environmental information includes traffic Identification information and dynamic environment information, wherein, traffic mark information includes lane line information, stops Only line information, zebra crossing information, traffic light status information, dynamic environment information includes front car Information, pedestrian information etc.;
The dynamic environment information that will identify that merges with the obstacle information detected, to vehicle Barrier around carries out secondary-confirmation, and dyspoiesis thing nformation grid figure;
Track, vehicle place is determined according to the traffic mark information identified, specifically, according to The lane line information identified determines track, vehicle place;
Route information memory cell is searched, it is thus achieved that car according to the vehicle position information detected Track, place and the lane information in neighbouring track and speed-limiting messages, meanwhile, according to vehicle place The positional information of the position information correction vehicle that track is corresponding, described lane information includes: track The deficiency and excess HUANGBAI(sic) information of line and track navigation information;
According to the vehicle position information after barrier grid map information, traffic mark information, correction With route information, generate the sector planning path of vehicle;
S3: send the control instruction corresponding with the sector planning path generated to performance element, To control speed and the steering angle of vehicle.
The method can during vehicle is advanced according to the travel condition information that collects and Image information generates vehicle and treats the route information of travel route, this route information Acquisition method is simple and convenient, decreases the consumption of manpower and cost;In Vehicular automatic driving process In, the barrier of vehicle periphery has obtained the dual confirmation of image and obstacle information detector unit Rear dyspoiesis thing grid map information, reduces the False Rate of barrier;The method is from image The lane line information identified can accurately determine track, vehicle place, it is also possible to thereby determines that Vehicle and the runout information of lane line, can obtain by searching route information memory cell This track and the lane information in neighbouring track and speed-limiting messages, believe according to from route meanwhile The positional information that in breath memory element, the track, vehicle place of acquisition is corresponding may also correct for vehicle Positional information, to improve accuracy to vehicle location, believe according to above-mentioned barrier grid map Vehicle position information after breath, traffic mark information, correction and route information, according in advance If rule can make rational planning for vehicle running path, improve the safety driven.
In order to realize the long-range control to vehicle, as the improvement of technical scheme, the method is also wrapped Include reception telecommand, and by performance element adjustment car speed and turn to according to described instruction The step at angle.
As the improvement of technical scheme, the method also includes being adjusted vehicle by automatic driving mode For active driving model or the step that is adjusted to automatic driving mode by active driving model, work as car Have the initiative driving model time, main control unit abandons the control to performance element, the speed of vehicle Degree and steering angle, completely by Artificial Control, are as good as with normal pilot steering.
As the improvement of technical scheme, the method also includes that vehicle, during automatic Pilot, is sentenced The disconnected step whether having manpower intervention to drive, when having detected that manpower intervention is driven, vehicle is by certainly Dynamic driving model is converted to actively driving model.
The above, the only present invention preferably detailed description of the invention, but the protection model of the present invention Enclosing and be not limited thereto, any those familiar with the art is in the skill of present disclosure In the range of art, according to technical scheme and inventive concept equivalent in addition thereof or change Become, all should contain within protection scope of the present invention.

Claims (10)

1. special-purpose vehicle automated driving system based on route, it is characterised in that including:
Travel condition detector unit, for detecting the position of vehicle, speed and attitude information, and The information detected is sent to main control unit;
Obstacle information detector unit, for detecting the obstacle information of vehicle periphery, and will inspection The obstacle information measured is sent to obstacle information processing unit;
Obstacle information processing unit, processes the obstacle information received, and at general Obstacle information after reason is sent to graphics processing unit;This unit is additionally operable to what basis received The barrier confirmation of graphics processing unit feedback generates and comprises all barriers being firmly established Hinder the barrier grid map of thing, and described barrier grid map information is sent to main control unit;
Mode selecting unit, for receiving the mode selecting information in the external world, and selects described pattern Information of selecting sends to main control unit, and wherein, selectable pattern includes route information gathering Pattern and automatic driving mode;
Image acquisition units, the image information around collection vehicle, and described image is believed Breath sends to graphics processing unit;
Graphics processing unit, according to the environmental information of the image information identification vehicle periphery received, When system is in route information Collection Mode, quiet in graphics processing unit identification image State environmental information, and the static context information that will identify that is sent to main control unit;At system When automatic driving mode, the traffic mark information in graphics processing unit identification image is with dynamic Environmental information, afterwards, the traffic mark information that will identify that sends to main control unit, will identify The dynamic environment information gone out and obstacle information processing unit send the obstacle information come to be carried out Merge, obtain barrier confirmation, and described barrier confirmation is sent to barrier Information process unit;
Main control unit, receives mode selecting unit and sends the mode selecting information of coming, and according to connecing The mode selecting information received performs corresponding task, wherein, when system is in route information During drainage pattern, main control unit sends according to travel condition detector unit and graphics processing unit Information generate vehicle and treat the route information of travel route, and by described route information It is updated to route information memory cell, when system is in automatic driving mode, master control list Unit determines track, vehicle place according to the traffic mark information received, and believes according to the position of vehicle Breath searches route information memory cell to obtain track, vehicle place and the car in neighbouring track Road information and speed-limiting messages according to position information correction vehicle corresponding to track, vehicle place Positional information, according to the vehicle position after barrier grid map information, traffic mark information, correction Confidence breath and route information, generate the sector planning path of vehicle, and according to the speed of vehicle Spend and send the control corresponding with the sector planning path generated with attitude information to performance element Instruction;
Route information memory cell, the route letter come for storing main control unit to send Breath;
Performance element, for controlling speed and the steering angle of vehicle;
Described travel condition detector unit, obstacle information processing unit, graphics processing unit, Mode selecting unit, route information memory cell are all connected with main control unit, described obstacle Thing information process unit is also connected with obstacle information detector unit, and described graphics processing unit is also It is connected with image acquisition units and obstacle information processing unit respectively.
Special-purpose vehicle automated driving system based on route the most according to claim 1, its Being characterised by, this system also includes and the RCU of main control unit wireless connections, for master Control unit sends control instruction, to adjust speed and the steering angle of vehicle.
Special-purpose vehicle automated driving system based on route the most according to claim 1, its Being characterised by, the selectable pattern of described mode selecting unit also includes actively driving model, when System have the initiative driving model time, main control unit abandons the control to performance element, vehicle Speed and steering angle are completely by Artificial Control.
Special-purpose vehicle automated driving system based on route the most according to claim 1, its Being characterised by, this system also includes manpower intervention detector unit, when system is in automatic Pilot mould During formula, if be detected that manpower intervention is driven, manpower intervention detector unit sends to main control unit Signal, after main control unit receives this signal, abandons the control to performance element, the speed of vehicle Degree and steering angle are completely by Artificial Control.
Special-purpose vehicle automated driving system based on route the most according to claim 1, its It is characterised by, obstacle information detector unit, including laser radar, millimetre-wave radar and ultrasonic Ripple radar, wherein, vehicle front is provided with laser radar and 77G millimetre-wave radar, before vehicle The both sides of end and the both sides of rear vehicle end are provided with 24G millimetre-wave radar, vehicle both sides and car Rear end is provided with ultrasonic radar.
6. special-purpose vehicle automatic Pilot method based on route, it is characterised in that include walking as follows Rapid:
S1: according to the image of the vehicle travel condition information detected with the vehicle periphery collected Information generates vehicle and treats the route information of travel route and store, wherein, and described traveling shape State information includes the position of vehicle, speed and attitude information;
S2: the travel condition information of detection vehicle and the obstacle information of vehicle periphery, collecting vehicle Image information around, and travel condition information, obstacle information and image information are carried out Process, generate the sector planning path of vehicle,
Wherein, described process includes:
According to the environmental information of image information identification vehicle periphery, described environmental information includes traffic Identification information and dynamic environment information;
The dynamic environment information that will identify that merges with the obstacle information detected, to vehicle Barrier around carries out secondary-confirmation, and dyspoiesis thing nformation grid figure;
Track, vehicle place is determined according to the traffic mark information identified;
Positional information according to the vehicle detected searches the route information of storage, it is thus achieved that car Track, place and the lane information in neighbouring track and speed-limiting messages, meanwhile, according to vehicle place The positional information of the position information correction vehicle that track is corresponding;
According to the vehicle position information after barrier grid map information, traffic mark information, correction With route information, generate the sector planning path of vehicle;
S3: send the control instruction corresponding with the sector planning path generated to performance element, To control speed and the steering angle of vehicle.
Special-purpose vehicle automatic Pilot method based on route the most according to claim 6, its It is characterised by, also includes receiving telecommand, and adjust car speed according to described instruction and turn To the step at angle.
Special-purpose vehicle automatic Pilot method based on route the most according to claim 6, its It is characterised by, also includes vehicle is adjusted to active driving model or by leading by automatic driving mode Dynamic driving model is adjusted to the step of automatic driving mode, when vehicle has the initiative driving model Time, main control unit abandons the control to performance element, and the speed of vehicle and steering angle are completely by people Industry control system.
Special-purpose vehicle automatic Pilot method based on route the most according to claim 6, its It is characterised by, also includes that vehicle is during automatic Pilot, it may be judged whether have manpower intervention to drive Step, when having detected that manpower intervention is driven, vehicle is converted to actively by automatic driving mode Driving model.
Special-purpose vehicle automatic Pilot method based on route the most according to claim 6, its Being characterised by, the obstacle information of described vehicle periphery passes through detections of radar, wherein, before vehicle End is provided with laser radar and 77G millimetre-wave radar, the both sides of vehicle front and rear vehicle end Both sides are provided with 24G millimetre-wave radar, and vehicle both sides and rear vehicle end are provided with ultrasound wave Radar.
CN201610288789.4A 2016-04-29 2016-04-29 Special car automatic driving system based on fixed routes and driving method for same Pending CN105892464A (en)

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CN109141922A (en) * 2018-09-03 2019-01-04 长安大学 Unmanned vehicle ban traffic mark board independently perceives capacity test system and test method
CN109491375A (en) * 2017-09-13 2019-03-19 百度(美国)有限责任公司 The path planning based on Driving Scene for automatic driving vehicle
CN109752017A (en) * 2018-12-29 2019-05-14 同济大学 A kind of traveling route track generation system for unmanned low-speed vehicle
CN109974724A (en) * 2017-12-27 2019-07-05 湖南中车时代电动汽车股份有限公司 A kind of paths planning method for intelligent driving system
CN110077462A (en) * 2019-05-06 2019-08-02 江苏盛海智能科技有限公司 Steering guard method and terminal in a kind of unmanned vehicle driving process
CN110083164A (en) * 2019-05-20 2019-08-02 北京百度网讯科技有限公司 Control method and system, electronic device, server, and computer-readable medium
CN110543173A (en) * 2019-08-30 2019-12-06 上海商汤智能科技有限公司 Vehicle positioning system and method, and vehicle control method and device
CN110780665A (en) * 2018-07-26 2020-02-11 比亚迪股份有限公司 Vehicle unmanned control method and device
CN110998687A (en) * 2017-08-08 2020-04-10 索尼公司 Control system and control method
CN111638711A (en) * 2020-05-22 2020-09-08 北京百度网讯科技有限公司 Driving track planning method, device, equipment and medium for automatic driving
CN111879184A (en) * 2020-08-27 2020-11-03 航天科工智能机器人有限责任公司 Moving target car system
CN112590816A (en) * 2020-12-21 2021-04-02 东风汽车集团有限公司 Automatic driving back-and-forth switching method and device based on four-wheel steering automobile
CN112665538A (en) * 2020-12-09 2021-04-16 云南昆船电子设备有限公司 Vehicle autonomous navigation transverse distance measurement system and method
CN115366899A (en) * 2022-10-25 2022-11-22 南京项尚车联网技术有限公司 Long-range on-vehicle route identification system based on big dipper
CN117292550A (en) * 2023-11-24 2023-12-26 天津市普迅电力信息技术有限公司 Speed limiting early warning function detection method for Internet of vehicles application

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CN106502246A (en) * 2016-10-11 2017-03-15 浙江大学 A kind of intelligent vehicle automated induction systems based on grader
CN108614551A (en) * 2016-12-12 2018-10-02 财团法人工业技术研究院 Remote operation carrier and carrier control device and control method thereof
CN108614551B (en) * 2016-12-12 2021-04-13 财团法人工业技术研究院 Remote operation carrier and carrier control device and control method thereof
CN110998687A (en) * 2017-08-08 2020-04-10 索尼公司 Control system and control method
CN109491375A (en) * 2017-09-13 2019-03-19 百度(美国)有限责任公司 The path planning based on Driving Scene for automatic driving vehicle
CN107738645A (en) * 2017-10-19 2018-02-27 成都航天万欣科技有限公司 Vehicle control system
CN108205279A (en) * 2017-12-08 2018-06-26 联创汽车电子有限公司 Isomery multi-chip intelligent driving controller
CN109974724B (en) * 2017-12-27 2021-08-31 湖南中车时代电动汽车股份有限公司 Path planning method for intelligent driving system
CN109974724A (en) * 2017-12-27 2019-07-05 湖南中车时代电动汽车股份有限公司 A kind of paths planning method for intelligent driving system
CN108196544A (en) * 2018-01-02 2018-06-22 联想(北京)有限公司 A kind of information processing method and information processing equipment
CN108762272A (en) * 2018-06-05 2018-11-06 北京智行者科技有限公司 A kind of obstacle recognition and preventing collision method
CN108762272B (en) * 2018-06-05 2021-01-22 北京智行者科技有限公司 Obstacle identification and avoidance method
CN110780665B (en) * 2018-07-26 2022-02-08 比亚迪股份有限公司 Vehicle unmanned control method and device
CN110780665A (en) * 2018-07-26 2020-02-11 比亚迪股份有限公司 Vehicle unmanned control method and device
CN109141922B (en) * 2018-09-03 2020-08-11 长安大学 Unmanned vehicle forbidden traffic sign board autonomous perception capability test system and test method
CN109141922A (en) * 2018-09-03 2019-01-04 长安大学 Unmanned vehicle ban traffic mark board independently perceives capacity test system and test method
CN109752017A (en) * 2018-12-29 2019-05-14 同济大学 A kind of traveling route track generation system for unmanned low-speed vehicle
CN110077462A (en) * 2019-05-06 2019-08-02 江苏盛海智能科技有限公司 Steering guard method and terminal in a kind of unmanned vehicle driving process
CN110083164A (en) * 2019-05-20 2019-08-02 北京百度网讯科技有限公司 Control method and system, electronic device, server, and computer-readable medium
CN110083164B (en) * 2019-05-20 2022-05-13 阿波罗智联(北京)科技有限公司 Control method and system, electronic device, server and computer readable medium
CN110543173A (en) * 2019-08-30 2019-12-06 上海商汤智能科技有限公司 Vehicle positioning system and method, and vehicle control method and device
CN111638711A (en) * 2020-05-22 2020-09-08 北京百度网讯科技有限公司 Driving track planning method, device, equipment and medium for automatic driving
CN111879184A (en) * 2020-08-27 2020-11-03 航天科工智能机器人有限责任公司 Moving target car system
CN112665538A (en) * 2020-12-09 2021-04-16 云南昆船电子设备有限公司 Vehicle autonomous navigation transverse distance measurement system and method
CN112665538B (en) * 2020-12-09 2023-10-13 云南昆船电子设备有限公司 Vehicle autonomous navigation transverse ranging system and method
CN112590816A (en) * 2020-12-21 2021-04-02 东风汽车集团有限公司 Automatic driving back-and-forth switching method and device based on four-wheel steering automobile
CN115366899A (en) * 2022-10-25 2022-11-22 南京项尚车联网技术有限公司 Long-range on-vehicle route identification system based on big dipper
CN117292550A (en) * 2023-11-24 2023-12-26 天津市普迅电力信息技术有限公司 Speed limiting early warning function detection method for Internet of vehicles application
CN117292550B (en) * 2023-11-24 2024-02-13 天津市普迅电力信息技术有限公司 Speed limiting early warning function detection method for Internet of vehicles application

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Application publication date: 20160824