CN108845579A - A kind of automated driving system and its method of port vehicle - Google Patents

A kind of automated driving system and its method of port vehicle Download PDF

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Publication number
CN108845579A
CN108845579A CN201810919578.5A CN201810919578A CN108845579A CN 108845579 A CN108845579 A CN 108845579A CN 201810919578 A CN201810919578 A CN 201810919578A CN 108845579 A CN108845579 A CN 108845579A
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vehicle
information
decision
harbour
making level
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Inventor
张祖锋
殷嘉伦
张昌杰
李祎承
薛莹
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Changjia Fengxing Suzhou Intelligent Technology Co ltd
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Suzhou Chang Feng Jia Hang Intelligent Technology Co Ltd
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Priority to CN201810919578.5A priority Critical patent/CN108845579A/en
Publication of CN108845579A publication Critical patent/CN108845579A/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
    • G05D1/0212Control of position or course in two dimensions specially adapted to land vehicles with means for defining a desired trajectory
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05DSYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
    • G05D1/02Control of position or course in two dimensions
    • G05D1/021Control of position or course in two dimensions specially adapted to land vehicles
    • G05D1/0231Control of position or course in two dimensions specially adapted to land vehicles using optical position detecting means
    • 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
    • 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
    • G05D1/0268Control of position or course in two dimensions specially adapted to land vehicles using internal positioning means
    • G05D1/027Control of position or course in two dimensions specially adapted to land vehicles using internal positioning means comprising intertial navigation means, e.g. azimuth detector

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  • Engineering & Computer Science (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Remote Sensing (AREA)
  • Physics & Mathematics (AREA)
  • Aviation & Aerospace Engineering (AREA)
  • General Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • Electromagnetism (AREA)
  • Traffic Control Systems (AREA)
  • Navigation (AREA)
  • Control Of Driving Devices And Active Controlling Of Vehicle (AREA)

Abstract

The invention discloses the automated driving systems of port vehicle, including sensing layer, for acquiring the environmental information on current vehicle position periphery, and map are combined to carry out target detection, identify and position;Decision-making level, the environmental information for being acquired according to sensing layer calculates analysis and obtains decision information, and decision information is transferred to control layer;Control layer, for completing traveling task based on the operation of decision information control vehicle according to the decision information received;Data transfer layer realizes that the fixed point of container receives for receiving and sending decision information;Sensing layer is connected with decision-making level, and decision-making level is connected with control layer, and decision-making level is connected with data transfer layer.The beneficial effects of the invention are as follows when drifting about occurs in Beidou/GPS signal or signal is weak, it is to rely on container, is accurately positioned site of road in vehicle and harbour, accurately control Vehicular automatic driving route, automatic Pilot is integrated in a system, facilitates integral transplanting system, reduces personnel labour.

Description

A kind of automated driving system and its method of port vehicle
Technical field
The invention belongs to automatic Pilot fields, more particularly, to the automated driving system and its method of a kind of port vehicle.
Background technique
With the development of globalised economy tide, the sea-freight carrying whole world is more than 60% trade, big with its low cost, freight volume The features such as occupy always transport faucet.Harbour needs largely to assemble vehicle at harbour as most important Transport Hub Middle operation.Important means of the container as linking sea-freight and other means of transportation, handling capacity are to measure the weight of port capacity Evaluation index is wanted, so the conevying efficiency and means of transportation of container have been a concern.
Traditional Transportation mode is mainly assembled vehicle by pilot steering and is transported between suspension bridge and stockyard, and driver is easy It makes a fault, and the large labor intensity of driver, wastes a large amount of manpower and material resources.In order to reduce driver's labor intensity, mention The efficiency of loading and unloading of high cube container and the stability of operation, automatic Pilot technology become the important means of each port and pier.
There are a large amount of containers in harbour, and compared to ordinary road scene, its identification is very low, and since harbour is logical It is frequently located in seashore or river bank, stormy waves is larger, and unique geographical location will affect GPS/ Beidou signal, leads to GPS/ Beidou occur The case where signal drift, causes positioning accuracy low.Positioning is the key technical problem of automatic Pilot, and positioning accuracy is low to be directly resulted in The automatic Pilot of vehicle goes wrong.
Summary of the invention
The object of the present invention is to provide a kind of structures simply, realizes vehicle is accurately positioned in port area, monitors in real time, Help the automated driving system for understanding working truck position, improving working efficiency, a kind of port vehicle for reducing operating risk.
Technical scheme is as follows:
A kind of automated driving system of port vehicle, which is characterized in that including:
Sensing layer for acquiring the environmental information on current vehicle position periphery, and combines map to carry out target detection, identification And positioning;
Decision-making level, environmental information for being acquired according to the sensing layer calculate analysis and obtain decision information, and by decision Information is transferred to control layer;
Control layer executes traveling task for controlling the operation of the vehicle according to the decision information received;
Data transfer layer, for receive decision-making level's decision information and will treated information sends back decision-making level, realize from The dynamic unified allocation of resources for driving vehicle;
The sensing layer is connected with decision-making level, and the decision-making level is connected with control layer, and the decision-making level and data pass Defeated layer is connected.
In the above-mentioned technical solutions, the sensing layer includes:
Vehicle mounted imaging apparatus, for acquiring the distance between the vehicle periphery and barrier and vehicle periphery driving environment Image information, and lane line, pedestrian and traffic lights are detected according to the image information;
Vehicle carried pick device, for obtaining the location information of the vehicle;
Vehicle-mounted detection device, for obtain the vehicle in harbour the obstacle information of local environment and the vehicle with The size of the distance between barrier and barrier.
In the above-mentioned technical solutions, the vehicle mounted imaging apparatus includes:
Laser radar, for obtaining the distance between the vehicle and peripheral obstacle;
Vehicle-mounted camera, for obtaining the image information of vehicle-periphery in harbour;
Mobileye, the image information of the vehicle-periphery for being obtained according to the vehicle-mounted camera detect lane Line, traffic lights and pedestrian information;
Interchanger, the distance between vehicle and barrier for receiving the laser radar and vehicle-mounted camera acquisition, The image information of barrier size and vehicle-periphery, and acquired above- mentioned information are sent to decision-making level;
The laser radar is mounted among the roof of the vehicle, and the vehicle-mounted camera and Mobileye are installed in Before the windshield of the vehicle.
In the above-mentioned technical solutions, the vehicle carried pick device includes:
Beidou GPS dual mode receiver, for obtaining the latitude and longitude information of road in harbour;
Inertial navigation unit, for obtaining the operation posture and the speed of service of the vehicle, and by road in the harbour Latitude and longitude information and the operation posture of vehicle and the information of the speed of service be sent to decision-making level;
The beidou GPS dual mode receiver is mounted on the roof of the vehicle.
In the above-mentioned technical solutions, the vehicle-mounted detection device includes:
Millimetre-wave radar acquires the distance between the vehicle and long-distance barrier object for detecting;
Ultrasonic radar acquires the distance between the vehicle and short distance barrier for detecting;
CAN card, for receiving the distance between the millimetre-wave radar, the vehicle of ultrasonic radar acquisition and barrier letter Breath, and lane line, traffic lights and the pedestrian information obtained for receiving the Mobileye, and above- mentioned information are sent to Decision-making level;
The millimetre-wave radar is mounted on right above the license plate of the vehicle, and the ultrasonic radar is mounted on the vehicle Periphery, the CAN card is mounted on the vehicle interior.
In the above-mentioned technical solutions, the decision-making level includes industrial personal computer.
In the above-mentioned technical solutions, the data transfer layer includes:
4G module, for receiving and transmitting the decision information of the decision-making level,
Central processing platform handles the decision information for receiving, and adjusts to the automatic driving vehicle in system is unified Match, and deployment information is sent to the control layer;
The 4G module is mounted on the inside of the vehicle.
In the above-mentioned technical solutions, the control layer includes auto-pilot controller, for controlling the vehicle according to institute It states decision information and executes traveling task, the auto-pilot controller is used to control the operation of steering wheel, brake pedal, throttle.
In the above-mentioned technical solutions, the auto-pilot controller is mounted on the inside of the vehicle.
A kind of automatic Pilot method of port vehicle includes the following steps when Beidou GPS signal drifts about:
(1) default route:Predetermined travel route is cooked up according to the initial position of the vehicle and destination locations;
(2) environment sensing:Static-obstacle thing in harbour is obtained according to the vehicle mounted imaging apparatus, vehicle carried pick device acquisition And vehicle identification information, the identification information is sent to decision-making level;
(3) high accuracy positioning:
(3-1) establishes harbour sequence label:The vehicle mounted imaging apparatus, vehicle carried pick device acquisition are obtained into harbour cataract or glaucoma Hinder the image information of object, barrier at a distance from the vehicle, in harbour road latitude and longitude information as tag element, according to The tag element establishes harbour sequence label;
(3-2) images match:The image information for acquiring the vehicle-periphery in real time according to vehicle-mounted camera, and it is described Tag element in the sequence label of harbour is matched, and vehicle general location range is obtained;
The matching of (3-3) range information:It is acquired in harbour in real time between barrier and the vehicle according to vehicle-mounted detection device Distance, tag element compares at a distance from the harbour sequence label, calculates and counter releases the vehicle in Port Road Locating accurate location;
(3-4) extracts accurate location information:According to the accurate location and the harbour sequence label in the step (3-2) In the tag element of latitude and longitude information compare, extract accurate longitude and latitude of the vehicle in sequence label, obtain accurate Location information;
(4) planning calculates travel route:The accurate location information is sent to decision-making level, is computed and cooks up vehicle Driving path;
(5) control and execution:According to planning driving path control auto-pilot controller operation, respectively control steering wheel, Brake pedal and throttle realize the traveling of vehicle;
(6) center regulation:The current state of vehicle is obtained by sensing layer, and information is sent to center via decision-making level In processing platform, the unified allocation of resources to the automatic driving vehicle in platform is realized.
The invention has the advantages and positive effects that:
Can be to rely on container 1. when drifting about occurs in Beidou/GPS signal or signal is weak, be accurately positioned vehicle and Site of road in harbour accurately controls Vehicular automatic driving route;
2. the automatic Pilot of port vehicle is integrated in a system, facilitates integral transplanting system, have wide range of applications.
3. Vehicular automatic driving controller is installed on vehicle, set without bases such as large-scale redevelopment port and pier ground It applies, improvement cost is low, reduces personnel labour, and homework precision is high.
Detailed description of the invention
Fig. 1 is the structural schematic diagram of the automated driving system of port vehicle of the invention;
Fig. 2 is the structural schematic diagram of harbour sequence label in the automatic Pilot method of port vehicle of the invention;
Fig. 3 is the flow chart of high accuracy positioning in the present invention.
Specific embodiment
Below in conjunction with specific embodiment, invention is further described in detail.It should be appreciated that described herein specific Embodiment is used only for explaining the present invention, is not intended to limit the present invention, is never limited in protection scope of the present invention.
Embodiment 1
As shown in Figure 1-Figure 3, a kind of automated driving system of port vehicle of the present invention, the system include:Sensing layer, decision Layer, control layer and data transfer layer;Sensing layer, for acquiring the environmental information on current vehicle position periphery, and combine map into Row target detection identifies and positions;Decision-making level's (such as industrial personal computer), the environmental information for being acquired according to sensing layer calculate analysis Decision information is obtained, and decision information is transferred to control layer;Control layer, for being based on certainly according to the decision information received Plan information controls the operation of vehicle, completes traveling task;Data transfer layer realizes packaging for receiving and sending decision information The fixed point of case receives;
Above-mentioned sensing layer includes vehicle mounted imaging apparatus, vehicle carried pick device and vehicle-mounted detection device, and vehicle mounted imaging apparatus is used In obtain vehicle local environment in harbour obstacle information and vehicle between barrier at a distance from and barrier size, Vehicle mounted imaging apparatus includes the laser radar being mounted among vehicle roof, for obtain the distance between vehicle and barrier and The size of barrier;Vehicle-mounted camera before being mounted on vehicle windscreen, for obtaining the barrier of local environment in harbour Image information;Mobileye before being mounted on vehicle windscreen, the vehicle periphery ring for being obtained according to vehicle-mounted camera The image information in border, detection lane line, traffic lights and pedestrian information;Interchanger, for receiving the laser radar and vehicle The image information of the distance between vehicle and barrier that camera obtains, barrier size and vehicle-periphery is carried, and will Acquired above- mentioned information are sent to decision-making level;Laser radar and vehicle-mounted camera pass through Ethernet and interchanger communication connection;Vehicle Positioning device is carried, for obtaining the location information of vehicle;Vehicle carried pick device includes the beidou GPS dual mode reception for being mounted on roof Machine, for obtaining the latitude and longitude information of road in harbour;It is installed in the vehicle the inertial navigation unit in portion, for obtaining the vehicle Operation posture and the speed of service, and by the latitude and longitude information of road in the harbour and the operation posture of vehicle and operation speed The information of degree is sent to decision-making level, and beidou GPS dual mode receiver passes through Ethernet and inertial navigation unit communication connection;Vehicle-mounted spy Device is surveyed, for acquiring the driving environment image information of vehicle, vehicle-mounted detection device includes right above the license plate for being mounted on vehicle Millimetre-wave radar, for detect acquisition the distance between vehicle and long-distance barrier object;It is mounted on the ultrasound of the periphery of vehicle Wave radar, for detecting acquisition the distance between vehicle and barrier;The CAN card being installed in the vehicle, for receiving the milli The distance between metre wave radar, the vehicle of ultrasonic radar acquisition and barrier information, and obtained for receiving the Mobileye Lane line, traffic lights and the pedestrian information taken, and above- mentioned information are sent to decision-making level;Millimetre-wave radar, ultrasonic wave thunder It is connected up to CAN bus is passed through with Mobileye with CAN card;Interchanger, inertial navigation unit and CAN card pass through USB and decision Layer communication connection;
Above-mentioned control layer includes auto-pilot controller, executes traveling task according to decision information for controlling vehicle, from Dynamic driving controller is used to control the operation of steering wheel, brake pedal, throttle, for controlling the acceleration, acceleration, steering of vehicle Deng.
Above-mentioned data transfer layer includes the 4G module in the portion that is installed in the vehicle, and the decision for receiving and transmitting decision-making level is believed Breath and central processing platform for receiving processing decision information, and to the automatic driving vehicle unified allocation of resources in system, and will be adjusted Control layer is sent to information.
A kind of automatic Pilot method of port vehicle includes the following steps when Beidou GPS signal drifts about:
(1) default route:Predetermined travel route is cooked up according to the final position of the initial position of vehicle and predicted operation;
(2) environment sensing:According to vehicle-mounted camera (such as model AVT), laser radar (such as brand be Velodyne Vlp-16), the beidou GPS dual mode receiver beidou GPS dual mode receiver of compass in ancient China (brand be) acquisition obtain it is static in harbour Barrier and vehicle identification information, identification information is sent to decision-making level, and (such as industrial personal computer, industrial personal computer use brand to grind China Industrial personal computer);
(3) high accuracy positioning:
(3-1) establishes harbour sequence label:Obstacle in harbour is obtained according to vehicle mounted imaging apparatus, vehicle carried pick device acquisition The latitude and longitude information of road is tag element at a distance from vehicle, in harbour for the image information of object, barrier, according to tag element Establish harbour sequence label;
(3-2) images match:The image information for acquiring vehicle-periphery in real time according to vehicle-mounted camera, with harbour label Tag element in sequence is matched (for example, by using SURF feature extraction algorithm, using RANSAC matching algorithm), and vehicle is obtained General location range;
The matching of (3-3) range information:According to vehicle-mounted detection device acquire in harbour in real time between barrier and vehicle away from From tag element compares (for example, by using ICP algorithm (i.e. iterative closet point algorithm)) at a distance from the sequence label of harbour, calculates anti- Release vehicle accurate location locating in Port Road;
(3-4) extracts accurate location information:According to the longitude and latitude in the accurate location and harbour sequence label in step (3-2) The tag element for spending information compares, and extracts accurate longitude and latitude of the vehicle in sequence label, obtains accurate location information;
(4) planning calculates travel route:Accurate location information is sent to decision-making level, is computed the rule made to vehicle Draw driving path;
(5) control and execution:According to planning driving path control auto-pilot controller operation, respectively control steering wheel, Brake pedal and throttle realize the traveling of vehicle;
(6) center regulation:The current state of vehicle is obtained by sensing layer, and information is sent to center via decision-making level In processing platform, the unified allocation of resources to the automatic driving vehicle in platform is realized.
Above-mentioned obstacle information include barrier size, the position of barrier relative vehicle, barrier movement velocity.
A kind of automatic Pilot method of port vehicle, when GPS/ Beidou signal is good, method includes the following steps:
(1) default route:Predetermined travel route is cooked up according to the final position of the initial position of vehicle and predicted operation;
(2) precision positions:The longitude and latitude positional information of vehicle is obtained by beidou GPS dual mode receiver, and passes through inertia Navigation device obtains the operation posture and the speed of service of vehicle, to determine the periphery situation of vehicle, and by periphery situation information It is sent to industrial personal computer;
(3) planning calculates travel route:Industrial personal computer carries out analytical calculation according to periphery situation information, and calculating is made to vehicle Part planning driving path and traveling strategy;
(4) control and execution:According to planning driving path and the traveling strategy auto-pilot controller fortune of adjustment control in time Row controls the traveling that steering wheel, brake pedal and throttle realize vehicle respectively;
(5) center regulation:The current state of vehicle is obtained by sensing layer, and information is sent to center via decision-making level In processing platform, the unified allocation of resources to the automatic driving vehicle in platform is realized.
Above-mentioned traveling strategy is acceleration, deceleration, lane-change etc., to realize the adjustment of route or travel by vehicle, improves the fortune of vehicle Row safety and stability.
Embodiment 2
A kind of automatic Pilot method of port vehicle includes the following steps when Beidou GPS signal drifts about:
(1) default route:Predetermined travel route is cooked up according to the final position of the initial position of vehicle and predicted operation;
(2) environment sensing:According to vehicle-mounted camera (such as model AVT), laser radar (such as brand be Velodyne Vlp-16), beidou GPS dual mode receiver (being the vertical Beidou GPS receiver of Shenzhen ancestor for example, by using brand) acquisition obtain port Static-obstacle thing and vehicle identification information in mouthful, it (is to grind auspicious industry control for example, by using brand that identification information, which is sent to decision-making level, Machine);
(3) high accuracy positioning:
(3-1) establishes harbour sequence label:Obstacle in harbour is obtained according to vehicle mounted imaging apparatus, vehicle carried pick device acquisition The latitude and longitude information of road is tag element at a distance from vehicle, in harbour for the image information of object, barrier, according to tag element Establish harbour sequence label;
(3-2) images match:The image information for acquiring vehicle-periphery in real time according to vehicle-mounted camera, with harbour label Tag element in sequence is matched (for example, by using SURF feature extraction algorithm, using RANSAC matching algorithm), and vehicle is obtained General location range;
The matching of (3-3) range information:According to vehicle-mounted detection device acquire in harbour in real time between barrier and vehicle away from From tag element compares (for example, by using ICP algorithm (i.e. iterative closet point algorithm)) at a distance from the sequence label of harbour, calculates anti- Release vehicle accurate location locating in Port Road;
(3-4) extracts accurate location information:According to the longitude and latitude in the accurate location and harbour sequence label in step (3-2) The tag element for spending information compares, and extracts accurate longitude and latitude of the vehicle in sequence label, obtains accurate location information;
(4) planning calculates travel route:Accurate location information is sent to decision-making level, is computed the rule made to vehicle Draw driving path;
(5) control and execution:According to planning driving path control auto-pilot controller operation, respectively control steering wheel, Brake pedal and throttle realize the traveling of vehicle;
(6) center regulation:The current state of vehicle is obtained by sensing layer, and information is sent to center via decision-making level In processing platform, the unified allocation of resources to the automatic driving vehicle in platform is realized.
Embodiment 3
On the basis of embodiment 1, inertial navigation unit may be mounted on the headstock of vehicle, such as preferably be mounted on Headstock and one of the left and right sides towards direction of travel pass through operation posture and the speed of service that inertial navigation unit obtains vehicle Afterwards, in order to further increase data accuracy, the extraction point cloud feature from the information that laser radar obtains is obtained from vehicle-mounted camera Abstract image characteristic point in the information taken recycles characteristic matching and kalman filter method, to above-mentioned location information, operation appearance State and the speed of service are modified verification.
One embodiment of the present invention has been described in detail above, but the content is only preferable implementation of the invention Example, should not be considered as limiting the scope of the invention.It is all according to equivalent variations made by the present patent application range and improve Deng should still be within the scope of the patent of the present invention.

Claims (10)

1. a kind of automated driving system of port vehicle, which is characterized in that including:
Sensing layer for acquiring the environmental information on current vehicle position periphery, and combines map to carry out target detection, identification and determine Position;
Decision-making level, environmental information for being acquired according to the sensing layer calculate analysis and obtain decision information, and by decision information It is transferred to control layer;
Control layer executes traveling task for controlling the operation of the vehicle according to the decision information received;
Data transfer layer, for receive decision-making level's decision information and will treated information sends back decision-making level, realization drives automatically Sail the unified allocation of resources of vehicle;
The sensing layer is connected with decision-making level, and the decision-making level is connected with control layer, the decision-making level and data transfer layer It is connected.
2. automated driving system according to claim 1, which is characterized in that the sensing layer includes:
Vehicle mounted imaging apparatus, for acquiring the figure of the distance between the vehicle periphery and barrier and vehicle periphery driving environment Lane line, pedestrian and traffic lights are detected as information, and according to the image information;
Vehicle carried pick device, for obtaining the location information of the vehicle;
Vehicle-mounted detection device, for obtaining the vehicle obstacle information of local environment and vehicle and obstacle in harbour The size of the distance between object and barrier.
3. automated driving system according to claim 2, which is characterized in that the vehicle mounted imaging apparatus includes:
Laser radar, for obtaining the distance between the vehicle and peripheral obstacle;
Vehicle-mounted camera, for obtaining the image information of vehicle-periphery in harbour;
Mobileye, the image information of the vehicle-periphery for being obtained according to the vehicle-mounted camera, detection lane line are handed over Ventilating signal lamp and pedestrian information;
Interchanger, the distance between vehicle and barrier for receiving the laser radar and vehicle-mounted camera acquisition, obstacle The image information of object size and vehicle-periphery, and acquired above- mentioned information are sent to decision-making level;
The laser radar is mounted among the roof of the vehicle, and the vehicle-mounted camera and Mobileye are installed in described Before the windshield of vehicle.
4. automated driving system according to claim 3, which is characterized in that the vehicle carried pick device includes:
Beidou GPS dual mode receiver, for obtaining the latitude and longitude information of road in harbour;
Inertial navigation unit, for obtaining the operation posture and the speed of service of the vehicle, and by the warp of road in the harbour The information of the operation posture and the speed of service of latitude information and vehicle is sent to decision-making level;
The beidou GPS dual mode receiver is mounted on the roof of the vehicle.
5. automated driving system according to claim 4, which is characterized in that the vehicle-mounted detection device includes:
Millimetre-wave radar acquires the distance between the vehicle and long-distance barrier object for detecting;
Ultrasonic radar acquires the distance between the vehicle and short distance barrier for detecting;
CAN card, for receiving the distance between the millimetre-wave radar, the vehicle of ultrasonic radar acquisition and barrier information, And lane line, traffic lights and the pedestrian information obtained for receiving the Mobileye, and above- mentioned information are sent to certainly Plan layer;
The millimetre-wave radar is mounted on right above the license plate of the vehicle, and the ultrasonic radar is mounted on the outer of the vehicle Week, the CAN card are mounted on the vehicle interior.
6. automated driving system according to claim 5, it is characterised in that:The decision-making level includes industrial personal computer.
7. automated driving system according to claim 6, which is characterized in that the data transfer layer includes:
4G module, for receiving and transmitting the decision information of the decision-making level,
Central processing platform handles the decision information for receiving, and to the automatic driving vehicle unified allocation of resources in system, and Deployment information is sent to the control layer;
The 4G module is mounted on the inside of the vehicle.
8. automated driving system according to claim 7, it is characterised in that:The control layer includes automatic Pilot control Device executes traveling task according to the decision information for controlling the vehicle, and the auto-pilot controller is used for controlling party Operation to disk, brake pedal, throttle.
9. automated driving system according to claim 8, it is characterised in that:The auto-pilot controller is mounted on described The inside of vehicle.
10. a kind of automatic Pilot side of the port vehicle using automated driving system described in any one of claim 1-9 Method, which is characterized in that when Beidou GPS signal drifts about, include the following steps:
(1) default route:Predetermined travel route is cooked up according to the initial position of the vehicle and destination locations;
(2) environment sensing:Static-obstacle thing and vehicle in harbour are obtained according to the vehicle mounted imaging apparatus, vehicle carried pick device acquisition Identification information, is sent to decision-making level for the identification information;
(3) high accuracy positioning:
(3-1) establishes harbour sequence label:The vehicle mounted imaging apparatus, vehicle carried pick device acquisition are obtained into barrier in harbour Image information, barrier at a distance from the vehicle, in harbour road latitude and longitude information as tag element, according to described Tag element establishes harbour sequence label;
(3-2) images match:The image information for acquiring the vehicle-periphery in real time according to vehicle-mounted camera, with the harbour Tag element in sequence label is matched, and vehicle general location range is obtained;
The matching of (3-3) range information:According to vehicle-mounted detection device acquire in harbour in real time between barrier and the vehicle away from From tag element compares at a distance from the harbour sequence label, calculates that counter to release the vehicle locating in Port Road Accurate location;
(3-4) extracts accurate location information:According in the accurate location and the harbour sequence label in the step (3-2) The tag element of latitude and longitude information compares, and extracts accurate longitude and latitude of the vehicle in sequence label, and it is accurately fixed to obtain Position information;
(4) planning calculates travel route:The accurate location information is sent to decision-making level, is computed the row for cooking up vehicle Sail path;
(5) control and execution:According to planning driving path control auto-pilot controller operation, steering wheel, braking are controlled respectively Pedal and throttle realize the traveling of vehicle;
(6) center regulation:The current state of vehicle is obtained by sensing layer, and information is sent to central processing via decision-making level In platform, the unified allocation of resources to the automatic driving vehicle in platform is realized.
CN201810919578.5A 2018-08-14 2018-08-14 A kind of automated driving system and its method of port vehicle Pending CN108845579A (en)

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CN109738198A (en) * 2018-12-14 2019-05-10 北京百度网讯科技有限公司 Detection method, device, equipment and the storage medium of vehicle environmental sensing capability
CN110057376A (en) * 2019-04-24 2019-07-26 南京理工大学 A kind of the heavy-duty freight car automated driving system and method for low cost high robust
CN110091875A (en) * 2019-05-14 2019-08-06 长沙理工大学 Deep learning type intelligent driving context aware systems based on Internet of Things
CN110262508A (en) * 2019-07-06 2019-09-20 深圳数翔科技有限公司 Applied to the automated induction systems and method on the closing unmanned goods stock in place
CN110531376A (en) * 2019-08-23 2019-12-03 畅加风行(苏州)智能科技有限公司 Detection of obstacles and tracking for harbour automatic driving vehicle
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CN110884488A (en) * 2019-11-28 2020-03-17 东风商用车有限公司 Auxiliary positioning system for automatic driving engineering vehicle and using method thereof
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CN111238472A (en) * 2020-01-20 2020-06-05 北京四维智联科技有限公司 Real-time high-precision positioning method and device for full-automatic parking
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CN111776021A (en) * 2020-06-30 2020-10-16 江苏飞梭智行设备有限公司 Method and system for realizing positioning verification of rail vehicle
CN112099025A (en) * 2020-08-20 2020-12-18 杭州飞步科技有限公司 Method, device and equipment for positioning vehicle under bridge crane and storage medium
CN112147999A (en) * 2020-08-26 2020-12-29 北京航空航天大学 Automatic driving experiment AGV vehicle platform
CN112835346A (en) * 2019-11-04 2021-05-25 大众汽车(中国)投资有限公司 Method and system for controlling vehicle and vehicle-mounted automatic driving system
CN113022540A (en) * 2020-04-17 2021-06-25 青岛慧拓智能机器有限公司 Real-time remote driving system and method for monitoring multiple vehicle states
CN113257026A (en) * 2021-06-24 2021-08-13 浙江海康智联科技有限公司 Seaport cargo vehicle guiding method based on vehicle-road cooperative environment
CN114252074A (en) * 2021-12-08 2022-03-29 天津港股份有限公司 Navigation system of unmanned guided transport vehicle
CN114283595A (en) * 2021-11-12 2022-04-05 上海国际港务(集团)股份有限公司 Method, equipment and system for guiding road signs of wharf storage yard
CN114397115A (en) * 2022-01-10 2022-04-26 招商局检测车辆技术研究院有限公司 Method and system for testing positioning performance of port automatic driving vehicle
CN114572138A (en) * 2022-03-15 2022-06-03 东风汽车集团股份有限公司 Self-checking method, device and equipment for accident fault of automatic driving vehicle and storage medium
WO2022134659A1 (en) * 2020-12-22 2022-06-30 清华大学 Embedded autonomous vehicle intelligent roof cover system and vehicle comprising same
CN115569939A (en) * 2022-11-03 2023-01-06 厦门威迪思汽车设计服务有限公司 Intelligent centering carrying equipment for cleaning container and control method thereof

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CN109738198A (en) * 2018-12-14 2019-05-10 北京百度网讯科技有限公司 Detection method, device, equipment and the storage medium of vehicle environmental sensing capability
CN109738198B (en) * 2018-12-14 2024-06-11 北京百度网讯科技有限公司 Method, device, equipment and storage medium for detecting vehicle environment awareness
WO2020147316A1 (en) * 2019-01-16 2020-07-23 北京百度网讯科技有限公司 Unmanned vehicle positioning method and device
CN110057376A (en) * 2019-04-24 2019-07-26 南京理工大学 A kind of the heavy-duty freight car automated driving system and method for low cost high robust
CN110091875A (en) * 2019-05-14 2019-08-06 长沙理工大学 Deep learning type intelligent driving context aware systems based on Internet of Things
WO2020228393A1 (en) * 2019-05-14 2020-11-19 长沙理工大学 Deep learning type intelligent driving environment perception system based on internet of things
CN110262508A (en) * 2019-07-06 2019-09-20 深圳数翔科技有限公司 Applied to the automated induction systems and method on the closing unmanned goods stock in place
CN110262508B (en) * 2019-07-06 2024-05-31 广州卡尔动力科技有限公司 Automatic guiding system and method applied to unmanned freight vehicle in closed field
CN110658531A (en) * 2019-08-23 2020-01-07 畅加风行(苏州)智能科技有限公司 Dynamic target tracking method for port automatic driving vehicle
CN110658531B (en) * 2019-08-23 2022-03-29 畅加风行(苏州)智能科技有限公司 Dynamic target tracking method for port automatic driving vehicle
CN110531376A (en) * 2019-08-23 2019-12-03 畅加风行(苏州)智能科技有限公司 Detection of obstacles and tracking for harbour automatic driving vehicle
CN110865394A (en) * 2019-09-24 2020-03-06 中国船舶重工集团公司第七0七研究所 Target classification system based on laser radar data and data processing method thereof
CN112835346A (en) * 2019-11-04 2021-05-25 大众汽车(中国)投资有限公司 Method and system for controlling vehicle and vehicle-mounted automatic driving system
CN110884488A (en) * 2019-11-28 2020-03-17 东风商用车有限公司 Auxiliary positioning system for automatic driving engineering vehicle and using method thereof
CN110989618A (en) * 2019-12-23 2020-04-10 福建工程学院 Cooperative carrying control system and method for swarm type carrying vehicle
CN111006879B (en) * 2019-12-25 2021-11-02 畅加风行(苏州)智能科技有限公司 Port environment-oriented man-machine hybrid driving automatic driving test method and test platform thereof
CN111006879A (en) * 2019-12-25 2020-04-14 畅加风行(苏州)智能科技有限公司 Port environment-oriented man-machine hybrid driving automatic driving test method and test platform thereof
CN111238472A (en) * 2020-01-20 2020-06-05 北京四维智联科技有限公司 Real-time high-precision positioning method and device for full-automatic parking
CN111208821A (en) * 2020-02-17 2020-05-29 李华兰 Automobile automatic driving control method and device, automatic driving device and system
CN113022540A (en) * 2020-04-17 2021-06-25 青岛慧拓智能机器有限公司 Real-time remote driving system and method for monitoring multiple vehicle states
CN111583678A (en) * 2020-04-30 2020-08-25 福建中科云杉信息技术有限公司 Unmanned truck port horizontal transportation system and method
CN111776021A (en) * 2020-06-30 2020-10-16 江苏飞梭智行设备有限公司 Method and system for realizing positioning verification of rail vehicle
CN112099025B (en) * 2020-08-20 2024-04-02 杭州飞步科技有限公司 Method, device, equipment and storage medium for positioning vehicle under bridge crane
CN112099025A (en) * 2020-08-20 2020-12-18 杭州飞步科技有限公司 Method, device and equipment for positioning vehicle under bridge crane and storage medium
CN112147999B (en) * 2020-08-26 2021-09-21 北京航空航天大学 Automatic driving experiment AGV vehicle platform
CN112147999A (en) * 2020-08-26 2020-12-29 北京航空航天大学 Automatic driving experiment AGV vehicle platform
WO2022134659A1 (en) * 2020-12-22 2022-06-30 清华大学 Embedded autonomous vehicle intelligent roof cover system and vehicle comprising same
CN113257026A (en) * 2021-06-24 2021-08-13 浙江海康智联科技有限公司 Seaport cargo vehicle guiding method based on vehicle-road cooperative environment
CN114283595A (en) * 2021-11-12 2022-04-05 上海国际港务(集团)股份有限公司 Method, equipment and system for guiding road signs of wharf storage yard
CN114252074A (en) * 2021-12-08 2022-03-29 天津港股份有限公司 Navigation system of unmanned guided transport vehicle
CN114397115A (en) * 2022-01-10 2022-04-26 招商局检测车辆技术研究院有限公司 Method and system for testing positioning performance of port automatic driving vehicle
CN114572138A (en) * 2022-03-15 2022-06-03 东风汽车集团股份有限公司 Self-checking method, device and equipment for accident fault of automatic driving vehicle and storage medium
CN115569939A (en) * 2022-11-03 2023-01-06 厦门威迪思汽车设计服务有限公司 Intelligent centering carrying equipment for cleaning container and control method thereof

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