WO2021093419A1 - 路径导航方法、装置及计算机可读存储介质 - Google Patents

路径导航方法、装置及计算机可读存储介质 Download PDF

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Publication number
WO2021093419A1
WO2021093419A1 PCT/CN2020/112209 CN2020112209W WO2021093419A1 WO 2021093419 A1 WO2021093419 A1 WO 2021093419A1 CN 2020112209 W CN2020112209 W CN 2020112209W WO 2021093419 A1 WO2021093419 A1 WO 2021093419A1
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WO
WIPO (PCT)
Prior art keywords
vehicle body
information
navigation
position information
target
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PCT/CN2020/112209
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English (en)
French (fr)
Inventor
赵健章
黄子少
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深圳创维数字技术有限公司
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Publication of WO2021093419A1 publication Critical patent/WO2021093419A1/zh

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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
    • G05D1/0231Control of position or course in two dimensions specially adapted to land vehicles using optical position detecting means
    • G05D1/0238Control of position or course in two dimensions specially adapted to land vehicles using optical position detecting means using obstacle or wall sensors
    • G05D1/024Control of position or course in two dimensions specially adapted to land vehicles using optical position detecting means using obstacle or wall sensors in combination with a laser
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
    • G01C21/20Instruments for performing navigational calculations
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
    • G01C21/26Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
    • G01C21/34Route searching; Route guidance
    • G01C21/3407Route searching; Route guidance specially adapted for specific applications
    • G01C21/3415Dynamic re-routing, e.g. recalculating the route when the user deviates from calculated route or after detecting real-time traffic data or accidents
    • GPHYSICS
    • 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
    • G05D1/0223Control of position or course in two dimensions specially adapted to land vehicles with means for defining a desired trajectory involving speed control of the vehicle
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05DSYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
    • G05D1/02Control of position or course in two dimensions
    • G05D1/021Control of position or course in two dimensions specially adapted to land vehicles
    • G05D1/0231Control of position or course in two dimensions specially adapted to land vehicles using optical position detecting means
    • G05D1/0246Control of position or course in two dimensions specially adapted to land vehicles using optical position detecting means using a video camera in combination with image processing means
    • 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
    • G05D1/0259Control of position or course in two dimensions specially adapted to land vehicles using magnetic or electromagnetic means
    • G05D1/0261Control of position or course in two dimensions specially adapted to land vehicles using magnetic or electromagnetic means using magnetic plots
    • 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
    • G05D1/0276Control of position or course in two dimensions specially adapted to land vehicles using signals provided by a source external to the vehicle
    • G05D1/028Control of position or course in two dimensions specially adapted to land vehicles using signals provided by a source external to the vehicle using a RF signal
    • 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
    • G05D1/0276Control of position or course in two dimensions specially adapted to land vehicles using signals provided by a source external to the vehicle
    • G05D1/0285Control of position or course in two dimensions specially adapted to land vehicles using signals provided by a source external to the vehicle using signals transmitted via a public communication network, e.g. GSM network
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/02Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

Definitions

  • This application relates to the field of intelligent driving technology, and in particular to a route navigation method, device, and computer-readable storage medium.
  • SLAM Simultaneous localization and mapping, real-time positioning and map construction
  • the main function of mapping is to understand the surrounding environment and establish the corresponding relationship between the surrounding environment and space; the main function of positioning is to judge the position of the car body on the map based on the built map, so as to obtain the information in the environment.
  • lidar is an active detection sensor that does not depend on external light conditions and has high-precision ranging information. Therefore, the SLAM method based on the lidar is still the most widely used method in the robot SLAM method, and the SLAM application in the ROS (Robot Operating System, robot software platform) has also been very extensive.
  • ROS Robot Operating System
  • the path planning of multiple AGV terminals is usually calculated and arranged by the dispatch server, and then the assigned path measurement is sent to the respective AGV terminal for re-adaptation and execution .
  • the dispatching algorithm of the server becomes more and more complicated, and the requirement for the computing power of the server is very high.
  • the main purpose of this application is to provide a route navigation method, device, and computer-readable storage medium, aiming to solve the technical problem of high server performance requirements in the scheduling of multiple AGV terminals in the prior art.
  • the route navigation method includes the following steps:
  • a target navigation path is determined, and the first vehicle body is controlled based on the target navigation path.
  • the present application also provides a route navigation device, the route navigation device includes: a memory, a processor, and computer-readable instructions stored in the memory and running on the processor, When the computer-readable instructions are executed by the processor, the steps of the aforementioned route navigation method are implemented.
  • the present application also provides a computer-readable storage medium having computer-readable instructions stored on the computer-readable storage medium, and when the computer-readable instructions are executed by a processor, the aforementioned path navigation is realized. Method steps.
  • This application obtains the current first position information and target position information of the first vehicle body; then obtains the current second position information of the second vehicle body, where the second vehicle body is the driving position of the first vehicle body.
  • Vehicle bodies other than the first vehicle body in the environment then based on the first location information, the second location information, and the destination location information, a target navigation path is determined, and based on the target navigation path Control the first car body, and then in the driving environment of multiple car bodies, through each car body planning its own navigation path, realize the distributed dispatch of the car body, without the need to dispatch through the server, and pass the autonomous path of the car body Calculate so that the path planning of multiple car bodies does not interfere with each other.
  • FIG. 1 is a schematic structural diagram of a path navigation device in a hardware operating environment involved in a solution of an embodiment of the present application
  • FIG. 2 is a schematic flowchart of the first embodiment of route navigation in this application
  • FIG. 3 is a schematic diagram of a scene in an embodiment of the application.
  • FIG. 4 is a schematic diagram of a scene in another embodiment of the application.
  • FIG. 5 is a schematic flowchart of a second embodiment of route navigation according to this application.
  • FIG. 6 is a schematic flowchart of a third embodiment of route navigation according to this application.
  • FIG. 7 is a schematic flowchart of a fourth embodiment of route navigation according to this application.
  • FIG. 1 is a schematic structural diagram of a path navigation device in a hardware operating environment involved in a solution of an embodiment of the application.
  • the route navigation device in the embodiment of the present application may be an AGV vehicle body.
  • the route navigation apparatus may include a processor 1001, such as a CPU, a network interface 1004, a user interface 1003, a memory 1005, and a communication bus 1002.
  • the communication bus 1002 is used to implement connection and communication between these components.
  • the user interface 1003 may include a display screen (Display) and an input unit such as a keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface and a wireless interface.
  • the network interface 1004 may optionally include a standard wired interface and a wireless interface (such as a WI-FI interface).
  • the memory 1005 may be a high-speed RAM memory, or a non-volatile memory (non-volatile memory), such as a magnetic disk memory.
  • the memory 1005 may also be a storage device independent of the aforementioned processor 1001.
  • the path navigation device may also include a camera, an RF (Radio Frequency) circuit, a sensor, an audio circuit, a WiFi module, and so on.
  • sensors such as light sensors, motion sensors and other sensors.
  • the structure of the route navigation device shown in FIG. 1 does not constitute a limitation on the route navigation device, and may include more or fewer components than those shown in the figure, or a combination of certain components, or different components. Layout.
  • a memory 1005 as a computer storage medium may include an operating system, a network communication module, a user interface module, and computer readable instructions.
  • the network interface 1004 is mainly used to connect to the back-end server and communicate with the back-end server; the user interface 1003 is mainly used to connect to the client (user side) and communicate with the client; and
  • the processor 1001 may be used to call computer-readable instructions stored in the memory 1005.
  • the route navigation device includes: a memory 1005, a processor 1001, and computer-readable instructions stored on the memory 1005 and running on the processor 1001, wherein the processor 1001 calls the memory 1005 When storing computer-readable instructions, and perform the following operations:
  • a target navigation path is determined, and the first vehicle body is controlled based on the target navigation path.
  • processor 1001 may call computer-readable instructions stored in the memory 1005, and also perform the following operations:
  • the one-way road corresponding to the first target vehicle body is set to a no-passing state in the road information corresponding to the driving environment to obtain the first target vehicle body.
  • processor 1001 may call computer-readable instructions stored in the memory 1005, and also perform the following operations:
  • the preset area on the road where the second target vehicle body is currently located is set to a no-passing state in the first road information to Obtain second road information;
  • processor 1001 may call computer-readable instructions stored in the memory 1005, and also perform the following operations:
  • Target car body If the first target vehicle body does not exist in the second vehicle body, then based on the second position information, it is determined whether there is a third vehicle in the second vehicle body that is currently in the two-way street in the driving environment.
  • the preset area on the road where the third target vehicle body is currently located is set to a no-passing state in the road information to obtain the first vehicle body.
  • processor 1001 may call computer-readable instructions stored in the memory 1005, and also perform the following operations:
  • the navigation route includes multiple navigation routes, respectively calculate the navigation duration corresponding to each navigation route;
  • processor 1001 may call computer-readable instructions stored in the memory 1005, and also perform the following operations:
  • the navigation duration corresponding to each navigation route is determined.
  • processor 1001 may call computer-readable instructions stored in the memory 1005, and also perform the following operations:
  • the first vehicle body is currently in a one-way street, based on the second position information, determine whether there is a third vehicle in the one-way street where the first vehicle body is located opposite to the driving direction of the first vehicle body.
  • the step of determining a target navigation path based on the first position information, the second position information, and the target position information is performed.
  • processor 1001 may call computer-readable instructions stored in the memory 1005, and also perform the following operations:
  • the first location information and the destination location information determine the first remaining travel time of the first vehicle body, and obtain the second remaining travel time of the third vehicle body;
  • the first vehicle body is controlled to stop running, the third position information of the third vehicle body is acquired in real time, and the third position information is obtained based on the first vehicle body.
  • the third position information determines that the third vehicle body is driving away from the one-way road where the first vehicle body is located, continue to perform the step of acquiring the current second position information of the second vehicle body;
  • the first vehicle body is controlled to drive in the reverse direction, and the first vehicle body is driven away from the one-way road where the first vehicle body is located When the time, continue to perform the step of acquiring the current first position information and target position information of the first vehicle body.
  • This application also provides a route navigation method.
  • FIG. 2 is a schematic flowchart of the first embodiment of the route navigation method of this application.
  • the route navigation method of this embodiment can be applied to the process of intelligent automatic driving, where intelligent automatic driving can be applied to warehouse freight in a closed environment and also applicable to road transportation in an open environment.
  • This embodiment takes warehouse freight as an example for illustration;
  • the vehicle corresponding to warehouse freight can be a forklift, a crane, or AGV (Automated Guided Vehicle) trolley and other equipment that can realize cargo transportation; there are goods stacked in warehouse freight, and the goods are placed on pallets.
  • the vehicle realizes the transportation of goods through the transportation of pallets.
  • the route navigation method includes:
  • Step S100 Acquire current first position information and destination position information of the first vehicle body
  • the first location information is the current location information of the first vehicle body in the drivable area in the driving environment;
  • the destination location information is the location information of the first vehicle body about to drive to the destination point, where the first location information and the destination location
  • the information includes, but is not limited to, plane rectangular coordinate points, cylindrical coordinate points, spherical coordinate points, latitude and longitude coordinate points, and the direction corresponding to the coordinate points.
  • a map corresponding to the driving environment is first established, which includes a radar layer and an obstacle avoidance layer. At the same time, create a virtual lane layer in the mapped map.
  • the first vehicle body when the first vehicle body is traveling in a driving environment, the first vehicle body obtains its current first position information in real time, and obtains the target position information when the first position information is obtained.
  • the first vehicle body A car body is provided with a lidar, and the detection result of the lidar and the radar layer are used for positioning to determine the first position information.
  • Step S200 Acquire current second position information of a second vehicle body, where the second vehicle body is a vehicle body other than the first vehicle body in the driving environment in which the first vehicle body is located;
  • the first vehicle body acquires the current second location information of the second vehicle body, that is, the current location information of other vehicle bodies in the driving environment.
  • the first vehicle body and the second vehicle body are connected to the same local area network, and all vehicles in the driving environment broadcast the current position information of the vehicle body in the local area network.
  • the first vehicle body obtains the first In the case of location information, the first new information is sent by broadcasting in the local area network, and the second vehicle body can receive the first location information.
  • the identification information of the first vehicle body can also be broadcast at the same time.
  • the second vehicle body When the vehicle body obtains the second location information, it sends the second new information via broadcast in the local area network, and the first vehicle body determines the current second location information of the second vehicle body by receiving the broadcast.
  • all the vehicles in the driving environment regularly broadcast the current position information of the vehicles in the local area network, for example, broadcast the current position information every 3 seconds.
  • the second vehicle body may include other vehicles driven by managers, and the vehicle may broadcast its location information.
  • Step S300 Determine a target navigation path based on the first location information, the second location information, and the target location information, and control the first vehicle body based on the target navigation path.
  • the forbidden area corresponding to the second vehicle body is set according to the second location information, that is, the lane corresponding to the second vehicle body is preset in the updated virtual lane layer. Set the area to the forbidden state to obtain the updated virtual lane layer. Then, based on the updated virtual lane layer, the first location information, and the destination location information, the initial navigation path of the first vehicle body is obtained, based on the updated virtual lane layer.
  • the virtual lane layer After the virtual lane layer, determine the two-way lane information corresponding to the initial navigation route and the unpassed lane information corresponding to the two-way lane information, determine the driving direction of the first vehicle body based on the first location information and the destination location information, and determine the two-way lane information
  • the reverse lane information opposite to the driving direction, and the unpassed lane information and reverse lane information are used as the lane information to be closed.
  • the virtual lane corresponding to the lane information to be closed is set to prohibit traffic State, obtain the final virtual lane layer, determine the target navigation path corresponding to the vehicle body based on the final virtual lane layer, the first location information, and the destination location information, and control the first vehicle body based on the target navigation path.
  • 1.1 is a storage location; 1.2 is a two-way channel; 1.3 is a one-way channel; 2.1-2.4 is the AGV body; 3 is the target navigation path of the target AGV body; 4.1-4.3 are the AGV vehicles The forbidden area of the vehicle body, 2.4 is the first vehicle body, 2.1-2.3 is the second vehicle body, the target navigation path is determined according to the second position information of the second vehicle body, so that the target navigation path can avoid the second vehicle body The one-way street where 2.2 and 2.3 are located.
  • step S100 may be executed in real time in this embodiment.
  • the target positions of other vehicle bodies have changed, then Re-monitor whether there is a new forbidden zone on the original route, if it does, revise the route again, and control the first vehicle body according to the new target navigation route.
  • 1.1 is a storage location; 1.2 is a two-way channel; 1.3 is a one-way channel; 2.1-2.4 is the AGV body; 3.1-3.2 is the target navigation path of the target AGV body; 4.1-4.3 It is the restricted area of the AGV car body, 2.4 is the first car body, 2.1-2.3 is the second car body, in Figure 4, because 2.1 in the second car body enters a new one-way road, and the second car body 2.3 The one-way road has been driven out, therefore, by re-planning the target navigation path, avoid the one-way road where 2.1 and 2.2 in the second car body are located.
  • the route navigation method proposed in this embodiment obtains the current first position information of the first vehicle body and the destination position information; then obtains the current second position information of the second vehicle body, where the second vehicle body is the A vehicle body other than the first vehicle body in the driving environment in which the first vehicle body is located; and then based on the first position information, the second position information, and the destination position information, a target navigation path is determined, And control the first car body based on the target navigation path, and then in the driving environment of multiple car bodies, through each car body planning its own navigation path separately, to realize the distributed dispatch of the car body without the need for scheduling through the server , Through the autonomous path calculation of the car body, the path planning of multiple car bodies does not interfere with each other.
  • step S200 includes:
  • Step S310 based on the second position information, determine whether there is a first target vehicle body on the one-way street currently in the driving environment in the second vehicle body;
  • Step S320 If the first target vehicle body exists in the second vehicle body, set the one-way road corresponding to the first target vehicle body to a forbidden state in the road information corresponding to the driving environment, so as to Obtain the first road information;
  • Step S330 Determine the target navigation path based on the first road information, the first location information, the second location information, and the destination location information.
  • the second location information when the second location information is acquired, based on the second location information, it is determined whether there is a first target vehicle body on a one-way street currently in the driving environment in the second vehicle body, that is, it is determined whether there is currently a one-way vehicle in the driving environment. If the first target body exists in the second body, the one-way road corresponding to the first target body is set in the road information corresponding to the driving environment In order to obtain the first road information in the forbidden state, for example, the road information is a virtual lane layer. If the first target vehicle body exists in the second vehicle body, then the first target vehicle body is added to the virtual lane layer. The corresponding one-way street is set to the forbidden state, and the first road information is to the new virtual lane layer.
  • the vehicle body in the two-way lane in the second vehicle body determines the vehicle body in the two-way lane in the second vehicle body, and set the no-passing state corresponding to the vehicle body in the two-way lane in the new virtual lane layer to obtain the updated virtual lane layer
  • the initial navigation path of the first vehicle body is obtained, and the two-way lane information corresponding to the initial navigation path is determined based on the updated virtual lane layer.
  • the unpassed lane information corresponding to the two-way lane information determines the driving direction of the first vehicle body based on the first position information and the destination position information, determines the reverse lane information opposite to the traveling direction in the two-way lane information, and removes the unpassed lane information and
  • the reverse lane information is used as the lane information to be closed.
  • the virtual lane corresponding to the lane information to be closed is set to the forbidden state to obtain the final virtual lane layer, which is based on the final virtual lane layer and the first lane.
  • a location information and destination location information determine the target navigation path corresponding to the vehicle body.
  • the route navigation method proposed in this embodiment determines whether there is a first target vehicle body on the one-way road currently in the driving environment in the second vehicle body based on the second position information; If the first target vehicle body exists in the second vehicle body, the one-way road corresponding to the first target vehicle body is set to a forbidden state in the road information corresponding to the driving environment, so as to obtain the first road information; Based on the first road information, the first location information, the second location information, and the destination location information, the target navigation path is determined, and the occupied one-way street is set to a prohibited state, which can improve The accuracy of the path planning of the first vehicle body, thereby improving the accuracy of the target navigation path.
  • step S330 includes:
  • Step S331 Determine, based on the second position information, whether there is a second target vehicle body on the two-lane road currently in the driving environment in the second vehicle body;
  • Step S332 If the second target vehicle body exists in the second vehicle body, set the preset area on the road where the second target vehicle body is currently located as no-passing in the first road information Status to obtain second road information;
  • Step S333 Determine the target navigation path based on the second road information, the first location information, and the destination location information.
  • the first road information when the first road information is obtained, based on the second position information, it is determined whether there is a second target vehicle body on the two-lane road currently in the driving environment in the second vehicle body.
  • the second target vehicle body, in the first road information, the preset area on the road where the second target vehicle body is currently located is set to a no-passing state to obtain second road information, and then based on the first road information 2.
  • Road information, the first location information, and the destination location information determine the target navigation path.
  • the first road information is a new virtual lane layer
  • determine the vehicle body in the two-way lane in the second vehicle body and set the vehicle in the two-way lane on the new virtual lane layer.
  • the no-passing state corresponding to the vehicle body is obtained, and the updated virtual lane layer is obtained.
  • the initial navigation path of the first vehicle body is obtained, based on the updated virtual lane layer.
  • Virtual lane layer determine the two-way lane information corresponding to the initial navigation route and the unpassed lane information corresponding to the two-way lane information, determine the driving direction of the first vehicle body based on the first position information and the destination position information, and determine the two-way lane information and driving The reverse lane information in the opposite direction, and the unpassed lane information and reverse lane information are used as the lane information to be closed.
  • the virtual lane corresponding to the lane information to be closed is set to the forbidden state
  • the final virtual lane layer is obtained, and the target navigation path corresponding to the vehicle body is determined based on the final virtual lane layer, the first location information, and the destination location information.
  • the target navigation path is determined based on the first road information, the first location information, and the destination location information, That is, based on the new virtual lane layer, the first location information, and the destination location information, the initial navigation path of the first vehicle body is obtained, and based on the new virtual lane layer, the two-way lane information and the two-way lane information corresponding to the initial navigation path are determined.
  • the virtual lane corresponding to the lane information to be closed is set to the forbidden state, and the final virtual lane layer is obtained, based on the final virtual lane layer, the first location information, and
  • the destination location information determines the target navigation path corresponding to the vehicle body
  • the preset area on the road where the second target vehicle body is currently located is an area twice the size of the vehicle body on the road where the second target vehicle body is located, and the width is half of the two-way street.
  • the route navigation method proposed in this embodiment determines whether there is a second target vehicle body on the two-lane road currently in the driving environment in the second vehicle body based on the second position information, and then if the second vehicle body is If the second target vehicle body exists in the second vehicle body, in the first road information, the preset area on the road where the second target vehicle body is currently located is set to a no-passing state to obtain the second road Information, and then based on the second road information, the first location information, and the destination location information, the target navigation route is determined by setting the preset area where the vehicle body is located in the occupied two-way street to be prohibited from passing The status can improve the accuracy of the path planning of the first vehicle body, thereby improving the accuracy of the target navigation path.
  • step S310 the method further includes:
  • Step S340 If the first target vehicle body does not exist in the second vehicle body, determine whether there is a two-way road currently in the driving environment in the second vehicle body based on the second position information The third target car body;
  • Step S350 If the third target vehicle body exists in the second vehicle body, set a preset area on the road where the third target vehicle body is currently located in the road information to a no-passing state, To obtain third road information;
  • Step S350 Determine the target navigation path based on the third road information, the first location information, and the destination location information.
  • the first target vehicle body does not exist in the second vehicle body, then based on the second position information, it is determined whether there is a third target vehicle body on the two-lane road currently in the driving environment in the second vehicle body. If there is a third target vehicle body in the second vehicle body, set the preset area on the road where the third target vehicle body is currently located in the road information to a no-passing state, so as to obtain third road information , And then determine the target navigation path based on the third road information, the first location information, and the destination location information.
  • the vehicle body in the two-way lane in the second vehicle body is determined, and the no-passing state corresponding to the vehicle body in the two-way lane is set in the new virtual lane layer to obtain the updated virtual lane map
  • the initial navigation path of the first vehicle body is obtained, and based on the updated virtual lane layer, the two-way lane information corresponding to the initial navigation path is determined
  • the unpassed lane information corresponding to the two-way lane information determine the driving direction of the first vehicle body based on the first location information and the destination location information, determine the reverse lane information opposite to the traveling direction in the two-way lane information, and remove the unpassed lane information And the reverse lane information is used as the lane information to be closed.
  • the virtual lane corresponding to the lane information to be closed is set to the forbidden state, and the final virtual lane layer is obtained. Based on the final virtual lane layer, The first location information and the destination location information determine the target navigation path corresponding to the vehicle body.
  • the route navigation method proposed in this embodiment if the first target vehicle body does not exist in the second vehicle body, then based on the second position information, it is determined whether the second vehicle body is currently located.
  • the preset area in the road is set to a no-passing state to obtain third road information; then based on the third road information, the first location information, and the destination location information, the target navigation path is determined, and the target navigation path is determined by
  • the preset area where the vehicle body is located in the occupied two-lane road is set to a no-passing state, which can improve the accuracy of path planning by the first vehicle body, thereby improving the accuracy of the target navigation path.
  • step S300 includes:
  • Step S370 Determine a navigation route based on the first location information, the second location information, and the destination location information;
  • Step S380 when the navigation route includes multiple navigation routes, respectively calculate the navigation duration corresponding to each navigation route;
  • Step S390 Determine the shortest navigation duration among the various navigation durations, and use the navigation route corresponding to the shortest navigation duration as the target navigation path.
  • a navigation route is determined based on the first location information, the second location information, and the destination location information.
  • the planning method of the navigation route is the same as that of the target navigation in the foregoing embodiment.
  • the route planning method is the same.
  • the navigation route is used as the target navigation route. If the navigation route includes multiple navigation routes, the navigation duration corresponding to each navigation route is calculated separately, and the shortest navigation duration among the navigation durations is compared, and The navigation route corresponding to the shortest navigation duration is used as the target navigation route, so that the target navigation route is the optimal navigation route, and the navigation efficiency of the first vehicle body is improved.
  • a navigation route is determined based on the first position information, the second position information, and the destination position information, and then when the navigation route includes multiple routes, each navigation route is calculated separately.
  • the navigation duration corresponding to the route is determined, and then the shortest navigation duration among the various navigation durations is determined, and the navigation route corresponding to the shortest navigation duration is used as the target navigation path, so that the target navigation path is the optimal navigation path, and the first car body is improved Navigation efficiency.
  • step S380 includes:
  • Step S381 Acquire the route planning point information corresponding to each navigation route in turn, and determine the driving time corresponding to each navigation route based on the route planning point information;
  • Step S382 based on the pose information of the first vehicle body and the initial planning points corresponding to each navigation route, determine the pose adjustment duration corresponding to each navigation route;
  • Step S383 Determine the navigation duration corresponding to each navigation route based on the pose adjustment duration and the driving duration.
  • the route planning point information corresponding to each navigation route is sequentially acquired, and the driving time corresponding to each navigation route is determined based on the route planning point information. Then, the pose information of the first vehicle body is obtained, and the pose adjustment time corresponding to each navigation route is determined according to the pose information and the initial planning point corresponding to each navigation route, where the initial planning point is the information of each route planning point Among the included multiple path planning points, the planning point that is closest to the location corresponding to the first location information.
  • the path planning point information includes the coordinates (x N , y N ) of each path planning point and the speed V N corresponding to each path planning point, and two adjacent path planning points are calculated according to the coordinates (x N , y N ) and the speed V N
  • the planning time between t N the specific formula is as follows:
  • t N ((x N -x N-1 ) 2 +(y N -y N-1 ) 2 ) 1/2 /0.5(V N +V N-1 );
  • the pose information includes the attitude angle ⁇ of the first vehicle body and the current coordinates (x0, y0) (SLAM coordinate system).
  • the starting point attitude adjustment angle ⁇ is determined according to the attitude angle ⁇ and the initial planning point (x1, y1).
  • the specific formula is as follows:
  • the coordinate origin of the SLAM coordinate system is the current coordinates (x0, y0), and then the pose adjustment time t ⁇ is calculated according to the starting point attitude adjustment angle ⁇ , the specific formula is as follows:
  • v is the angular velocity of the first vehicle body to adjust the trigger attitude angle.
  • the route navigation method proposed in this embodiment determines the pose adjustment time corresponding to each navigation route based on the pose information of the first vehicle body; and then determines the driving time corresponding to each navigation route based on the route length of each navigation route ; Finally, based on the pose adjustment duration and the driving duration, the navigation duration corresponding to each navigation route is determined, and the corresponding navigation duration can be accurately obtained according to the pose adjustment duration of each navigation route and the driving duration, thereby improving navigation The accuracy of the time length calculation, thereby improving the navigation efficiency of the first car body.
  • the route navigation method further includes:
  • Step S400 Determine, based on the first position information, whether the first vehicle body is currently in the one-way street in the road information corresponding to the driving environment;
  • Step S500 If the first vehicle body is currently in a one-way street, based on the second position information, determine whether there is a one-way street where the first vehicle body is located in a direction opposite to the driving direction of the first vehicle body.
  • Step S600 if the third vehicle body does not exist, perform the step of determining a target navigation path based on the first position information, the second position information, and the target position information.
  • step S300 is executed to enable the first vehicle body to pass through the one-way street.
  • step S500 the method further includes:
  • Step a If the third vehicle body exists, determine the first remaining travel time of the first vehicle body by the first location information and the destination location information, and obtain the second remaining travel time of the third vehicle body Driving time
  • Step b If the first remaining travel time is less than or equal to the second remaining travel time, control the first vehicle body to stop driving, obtain the third position information of the third vehicle body in real time, and use it based on When the third location information determines that the third vehicle body is driving away from the one-way street where the first vehicle body is located, continue to perform the step of acquiring the current second location information of the second vehicle body;
  • Step c if the first remaining travel time is greater than the second remaining travel time, control the first vehicle body to travel in the reverse direction, and when the first vehicle body leaves the location where the first vehicle body is located When it is a one-way street, continue to perform the step of obtaining the current first position information and destination position information of the first vehicle body.
  • the first position information and the destination position information determine the first remaining body of the first vehicle body Driving time, and obtain the second remaining driving time of the third vehicle body.
  • the first vehicle body is controlled to stop and wait in place, and at the same time, the third position information of the third vehicle body is acquired in real time, and the When it is determined based on the third position information that the third vehicle body is driving away from the one-way street where the first vehicle body is located, continue to perform the step of acquiring the current second position information of the second vehicle body to exit at the third vehicle body
  • the navigation is continued after a one-way street, where the second vehicle body obtains the first remaining travel time, the second vehicle body compares to determine that the first remaining travel time is less than or equal to the second remaining travel time, and then the second vehicle body travels in the reverse direction.
  • the first vehicle body may continue to perform the step of acquiring the current second position information of the second vehicle body after the preset time period to ensure that the third vehicle body does not occupy the position of the one-way road exit.
  • the first vehicle body is controlled to drive in the reverse direction to exit the one-way road, and the position information of the first vehicle body is sent to the third vehicle body in real time , And when the first vehicle body leaves the one-way street where the first vehicle body is located, continue to perform the step of acquiring the current first position information and the destination position information of the first vehicle body.
  • the position of each car body may be different at different times, or the position of other car bodies cannot be obtained due to poor network conditions. At this time, it may cause the two car bodies to enter the two ends of the one-way road. Through the above method, the car body at one end is actively exited from the one-way road to improve navigation efficiency.
  • the route navigation method proposed in this embodiment determines whether the first vehicle body is currently in the one-way road in the road information corresponding to the driving environment based on the first position information; then, if the first vehicle body is currently in the one-way road , Based on the second position information, it is determined whether there is a third vehicle body in the one-way street where the first vehicle body is located in the opposite direction to the first vehicle body; and then if the third vehicle body does not exist Car body, the step of determining the target navigation route based on the first position information, the second position information, and the target position information is performed, and the first car is further improved by ensuring that there is no other car body on the one-way road.
  • the navigation efficiency of the body is performed.
  • an embodiment of the present application also proposes a computer-readable storage medium having computer-readable instructions stored thereon, and when the computer-readable instructions are executed by a processor, the following operations are implemented:
  • a target navigation path is determined, and the first vehicle body is controlled based on the target navigation path.
  • the one-way road corresponding to the first target vehicle body is set to a no-passing state in the road information corresponding to the driving environment to obtain the first target vehicle body.
  • the preset area on the road where the second target vehicle body is currently located is set to a no-passing state in the first road information to Obtain second road information;
  • Target car body If the first target vehicle body does not exist in the second vehicle body, then based on the second position information, it is determined whether there is a third vehicle in the second vehicle body that is currently in the two-way street in the driving environment.
  • the preset area on the road where the third target vehicle body is currently located is set to a no-passing state in the road information to obtain the first vehicle body.
  • the navigation route includes multiple navigation routes, respectively calculate the navigation duration corresponding to each navigation route;
  • the navigation duration corresponding to each navigation route is determined.
  • the first vehicle body is currently in a one-way street, based on the second position information, determine whether there is a third vehicle in the one-way street where the first vehicle body is located opposite to the driving direction of the first vehicle body.
  • the step of determining a target navigation path based on the first position information, the second position information, and the target position information is performed.
  • the first location information and the destination location information determine the first remaining travel time of the first vehicle body, and obtain the second remaining travel time of the third vehicle body;
  • the first vehicle body is controlled to stop running, the third position information of the third vehicle body is acquired in real time, and the third position information is obtained based on the first vehicle body.
  • the third position information determines that the third vehicle body is driving away from the one-way road where the first vehicle body is located, continue to perform the step of acquiring the current second position information of the second vehicle body;
  • the first vehicle body is controlled to drive in the reverse direction, and the first vehicle body is driven away from the one-way road where the first vehicle body is located When the time, continue to perform the step of acquiring the current first position information and target position information of the first vehicle body.
  • the technical solution of this application essentially or the part that contributes to the existing technology can be embodied in the form of a software product, and the computer software product is stored in a storage medium (such as ROM/RAM) as described above. , Magnetic disks, optical disks), including several instructions to make a terminal device (which can be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) execute the method described in each embodiment of the present application.
  • a terminal device which can be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.

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Abstract

一种路径导航方法,包括:获取第一车体当前的第一位置信息以及目的位置信息(S100);获取第二车体当前的第二位置信息,其中,第二车体为目标车体所处行驶环境中除第一车体之外的其他车体(S200);基于第一位置信息、第二位置信息以及目的位置信息,确定目标导航路径,并基于目标导航路径控制第一车体(S300)。同时公开了一种路径导航装置及计算机可读存储介质。

Description

路径导航方法、装置及计算机可读存储介质
本申请要求深圳创维数字技术有限公司于2019年11月12日提交中国专利局、申请号为201911104025.5、发明名称为“路径导航方法、装置及计算机可读存储介质”的中国专利申请的优先权,其全部内容通过引用结合在申请中。
技术领域
本申请涉及智能驾驶技术领域,尤其涉及一种路径导航方法、装置及计算机可读存储介质。
背景技术
基于自然环境的SLAM(simultaneous localization and mapping,即时定位与地图构建)包括两大功能:定位与建图。其中,建图的主要作用是对周边环境的理解,建立周边环境与空间的对应关系;定位的主要作用是根据建好的图,判断车体在地图中的位置,从而得到环境中的信息。其次,激光雷达是一种主动式探测传感器,不依赖于外界光照条件,且具备高精度的测距信息。因此,基于激光雷达的SLAM方法依旧是机器人SLAM方法中应用最为广泛的方法,并且在ROS(Robot Operating System,机器人软件平台)的SLAM应用也已非常广泛。
目前,在使用SLAM导航的仓库系统中,多台AGV终端的路径规划,通常由调度服务器来统一计算安排,再把分配好的路径测量,发送到各自的AGV终端,进行重新的适配和执行。但是,这种情况下,需要在现场调度系统中增加服务器,并且,随着AGV终端的增多,服务器的调度算法越来越复杂,对服务器的运算能力要求非常高。
上述内容仅用于辅助理解本申请的技术方案,并不代表承认上述内容是现有技术。
发明内容
本申请的主要目的在于提供一种路径导航方法、装置及计算机可读存储介质,旨在解决现有多台AGV终端的调度中服务器性能需要高的技术问题。
为实现上述目的,本申请提供一种路径导航方法,所述路径导航方法包括以下步骤:
获取第一车体当前的第一位置信息以及目的位置信息;
获取第二车体当前的第二位置信息,其中,所述第二车体为所述第一车体所处行驶环境中除所述第一车体之外的其他车体;
基于所述第一位置信息、所述第二位置信息以及所述目的位置信息,确定目标导航路径,并基于所述目标导航路径控制所述第一车体。
此外,为实现上述目的,本申请还提供一种路径导航装置,所述路径导航装置包括:存储器、处理器及存储在所述存储器上并可在所述处理器上运行的计算机可读指令,所述计算机可读指令被所述处理器执行时实现前述的路径导航方法的步骤。
此外,为实现上述目的,本申请还提供一种计算机可读存储介质,所述计算机可读存储介质上存储有计算机可读指令,所述计算机可读指令被处理器执行时实现前述的路径导航方法的步骤。
本申请通过获取第一车体当前的第一位置信息以及目的位置信息;接着获取第二车体当前的第二位置信息,其中,所述第二车体为所述第一车体所处行驶环境中除所述第一车体之外的其他车体;而后基于所述第一位置信息、所述第二位置信息以及所述目的位置信息,确定目标导航路径,并基于所述目标导航路径控制所述第一车体,进而在多台车体的行驶环境中,通过各个车体单独规划自身的导航路径,实现车体的分布式调度,无需通过服务器进行调度,通过车体的自主路径计算,使得多台车体的路径规划互不干扰。
附图说明
图1是本申请实施例方案涉及的硬件运行环境的路径导航装置的结构示意图;
图2为本申请路径导航第一实施例的流程示意图;
图3为本申请一实施例中的场景示意图;
图4为本申请又一实施例中的场景示意图;
图5为本申请路径导航第二实施例的流程示意图;
图6为本申请路径导航第三实施例的流程示意图;
图7为本申请路径导航第四实施例的流程示意图。
本申请目的的实现、功能特点及优点将结合实施例,参照附图做进一步说明。
具体实施方式
应当理解,此处所描述的具体实施例仅仅用以解释本申请,并不用于限定本申请。
如图1所示,图1是本申请实施例方案涉及的硬件运行环境的路径导航装置的结构示意图。
本申请实施例路径导航装置可以是AGV车体。如图1所示,该路径导航装置可以包括:处理器1001,例如CPU,网络接口1004,用户接口1003,存储器1005,通信总线1002。其中,通信总线1002用于实现这些组件之间的连接通信。用户接口1003可以包括显示屏(Display)、输入单元比如键盘(Keyboard),可选用户接口1003还可以包括标准的有线接口、无线接口。网络接口1004可选的可以包括标准的有线接口、无线接口(如WI-FI接口)。存储器1005可以是高速RAM存储器,也可以是稳定的存储器(non-volatile  memory),例如磁盘存储器。存储器1005可选的还可以是独立于前述处理器1001的存储装置。
可选地,路径导航装置还可以包括摄像头、RF(Radio Frequency,射频)电路,传感器、音频电路、WiFi模块等等。其中,传感器比如光传感器、运动传感器以及其他传感器。
本领域技术人员可以理解,图1中示出的路径导航装置结构并不构成对路径导航装置的限定,可以包括比图示更多或更少的部件,或者组合某些部件,或者不同的部件布置。
如图1所示,作为一种计算机存储介质的存储器1005中可以包括操作系统、网络通信模块、用户接口模块以及计算机可读指令。
在图1所示的路径导航装置中,网络接口1004主要用于连接后台服务器,与后台服务器进行数据通信;用户接口1003主要用于连接客户端(用户端),与客户端进行数据通信;而处理器1001可以用于调用存储器1005中存储的计算机可读指令。
在本实施例中,路径导航装置包括:存储器1005、处理器1001及存储在所述存储器1005上并可在所述处理器1001上运行的计算机可读指令,其中,处理器1001调用存储器1005中存储的计算机可读指令时,并执行以下操作:
获取第一车体当前的第一位置信息以及目的位置信息;
获取第二车体当前的第二位置信息,其中,所述第二车体为所述第一车体所处行驶环境中除所述第一车体之外的其他车体;
基于所述第一位置信息、所述第二位置信息以及所述目的位置信息,确定目标导航路径,并基于所述目标导航路径控制所述第一车体。
进一步地,处理器1001可以调用存储器1005中存储的计算机可读指令,还执行以下操作:
基于所述第二位置信息,确定所述第二车体中是否存在当前处于所述行驶环境中的单行道的第一目标车体;
若所述第二车体中存在所述第一目标车体,则在所述行驶环境对应的道路信息中将所述第一目标车体对应的单行道设置为禁止通行状态,以获得第一道路信息;
基于所述第一道路信息、所述第一位置信息、所述第二位置信息以及所述目的位置信息,确定所述目标导航路径。
进一步地,处理器1001可以调用存储器1005中存储的计算机可读指令,还执行以下操作:
基于所述第二位置信息,确定所述第二车体中是否存在当前处于所述行驶环境中的双 行道的第二目标车体;
若所述第二车体中存在所述第二目标车体,则在所述第一道路信息中将所述第二目标车体当前所处道路中的预设区域设置为禁止通行状态,以获得第二道路信息;
基于所述第二道路信息、所述第一位置信息以及所述目的位置信息,确定所述目标导航路径。
进一步地,处理器1001可以调用存储器1005中存储的计算机可读指令,还执行以下操作:
若所述第二车体中不存在所述第一目标车体,则基于所述第二位置信息,确定所述第二车体中是否存在当前处于所述行驶环境中的双行道的第三目标车体;
若所述第二车体中存在所述第三目标车体,则在所述道路信息中将所述第三目标车体当前所处道路中的预设区域设置为禁止通行状态,以获得第三道路信息;
基于所述第三道路信息、所述第一位置信息以及所述目的位置信息,确定所述目标导航路径。
进一步地,处理器1001可以调用存储器1005中存储的计算机可读指令,还执行以下操作:
基于所述第一位置信息、所述第二位置信息以及所述目的位置信息,确定导航路线;
在所述导航路线包括多条时,分别计算各个导航路线对应的导航时长;
确定各个导航时长中的最短导航时长,并将所述最短导航时长对应的导航路线作为所述目标导航路径。
进一步地,处理器1001可以调用存储器1005中存储的计算机可读指令,还执行以下操作:
依次获取各个导航路线对应的路径规划点信息,基于所述路径规划点信息确定各个导航路线对应的行驶时长;
基于所述第一车体的位姿信息以及各个导航路线对应的初始规划点,确定各个导航路线对应的位姿调整时长;
基于所述位姿调整时长以及所述行驶时长,确定各个导航路线对应的导航时长。
进一步地,处理器1001可以调用存储器1005中存储的计算机可读指令,还执行以下操作:
基于所述第一位置信息确定第一车体当前是否处于所述行驶环境对应的道路信息中的单行道中;
若所述第一车体当前处于单行道中,则基于所述第二位置信息,确定所述第一车体所处的单行道中,是否存在与所述第一车体的行驶方向相反的第三车体;
若不存在所述第三车体,则执行所述基于所述第一位置信息、所述第二位置信息以及所述目的位置信息,确定目标导航路径的步骤。
进一步地,处理器1001可以调用存储器1005中存储的计算机可读指令,还执行以下操作:
若存在所述第三车体,则所述第一位置信息以及目的位置信息,确定所述第一车体的第一剩余行驶时长,并获取所述第三车体的第二剩余行驶时长;
若所述第一剩余行驶时长小于或等于所述第二剩余行驶时长,则控制所述第一车体停止行驶,实时获取所述第三车体的第三位置信息,并在基于所述第三位置信息确定所述第三车体驶离所述第一车体所处的单行道时,继续执行所述获取第二车体当前的第二位置信息的步骤;
若所述第一剩余行驶时长大于所述第二剩余行驶时长,则控制所述第一车体反向行驶,并在所述第一车体驶离所述第一车体所处的单行道时,继续执行获取第一车体当前的第一位置信息以及目的位置信息的步骤。
本申请还提供一种路径导航方法,参照图2,图2为本申请路径导航方法第一实施例的流程示意图。
本实施例的路径导航方法可应用于智能自动驾驶过程中,其中智能自动驾驶可适用于封闭环境的仓库货运、也可适用于开放环境的道路运输,本实施例以仓库货运为例加以说明;与仓库货运对应的车辆可以为叉车、也可以为抱车、还可以是AGV(Automated Guided Vehicle,自动引导运输车)小车等可实现货物运输的设备;仓库货运中堆放有货物,货物放置在托盘上,车辆通过对托盘的运输来实现货物的运输。
本实施例中,该路径导航方法包括:
步骤S100,获取第一车体当前的第一位置信息以及目的位置信息;
其中,第一位置信息为第一车体处于行驶环境中可行驶区域的当前位置信息;目的位置信息为该第一车体将要驶向目的地点的位置信息,其中,第一位置信息和目的位置信息包括但不限于平面直角坐标点、柱坐标点、球坐标点、经纬度坐标点和坐标点对应的方向等。在SLAM导航中,先建立行驶环境对应的地图,该地图包括雷达图层以及避障图层。同时,在建图的地图中,建立虚拟车道图层,具体地,先确定行驶环境中可行驶区域的地图信息,以及所述地图信息对应的虚拟车道信息,而后基于虚拟车道信息对应的行驶方向, 设置地图信息中的虚拟车道对应的行驶方向,例如,设置双向车道的行驶方向,并将行驶方向设置后的地图信息中的虚拟车道之外的区域设置为禁止通行状态,得到虚拟车道图层。
本实施例中,第一车体在行驶环境中行驶时,该第一车体实时获取其当前的第一位置信息,并在获取到第一位置信息时获取目的位置信息,具体地,该第一车体设有激光雷达,通过该激光雷达的检测结果以及雷达图层进行定位,以确定第一位置信息。
步骤S200,获取第二车体当前的第二位置信息,其中,所述第二车体为所述第一车体所处行驶环境中除所述第一车体之外的其他车体;
本实施例中,在获取到第一位置信息以及目的位置信息时,第一车体获取第二车体当前的第二位置信息,即获取当前该行驶环境中其他车体的位置信息。
需要说明的是,第一车体以及第二车体接入同一局域网,该行驶环境中的所有车体在该局域网中通过广播车体当前的位置信息,例如,第一车体获取到第一位置信息时,在该局域网中通过广播发送第一位新信息,第二车体均可接收该第一位置信息,当然,还可以同时广播该第一车体的标识信息,同样的,第二车体在获取到第二位置信息时,在该局域网中通过广播发送第二位新信息,第一车体通过接收该广播确定第二车体当前的第二位置信息。在其他实施例中,该行驶环境中的所有车体定时在该局域网中通过广播车体当前的位置信息,例如,每隔3秒广播一次当前的位置信息。
其中,第二车体可包括管理人员驾驶的其他车辆,该车辆可广播其位置信息。
步骤S300,基于所述第一位置信息、所述第二位置信息以及所述目的位置信息,确定目标导航路径,并基于所述目标导航路径控制所述第一车体。
本实施例中,在获取到第二位置信息时,根据第二位置信息设置第二车体对应的禁行区域,即在更新后的虚拟车道图层中将第二车体对应的车道的预设区域设置为禁止通行状态,以获得更新后的虚拟车道图层,而后,基于更新后的虚拟车道图层、第一位置信息以及目的位置信息,获取第一车体的初始导航路径,基于更新后的虚拟车道图层,确定初始导航路径对应的双向车道信息以及双向车道信息对应的未经过车道信息,基于第一位置信息以及目的位置信息确定第一车体的行驶方向,确定双向车道信息中与行驶方向相反的反向车道信息,并将未经过车道信息以及反向车道信息作为待关闭车道信息,在更新后的虚拟车道图层中,将待关闭车道信息对应的虚拟车道设置为禁止通行状态,得到最终虚拟车道图层,基于最终虚拟车道图层、第一位置信息以及目的位置信息,确定车体对应的目标导航路径,并基于所述目标导航路径控制所述第一车体。
参照图3,图3中,1.1为库位;1.2为双向通道;1.3为单向通道;2.1-2.4,为AGV车体;3为目标AGV车体的目标导航路径;4.1-4.3为AGV车体的行驶禁区,2.4为第一车体,2.1-2.3为第二车体,通过根据第二车体的第二位置信息确定所述目标导航路径,使得目标导航路径能够避开第二车体中的2.2与2.3所处的单行道。
需要说明的是,由于行驶环境中的所有车体均可能处于行驶状态,因此,本实施例可实时执行步骤S100,在第一车体行驶过程中,其他车体的目标位置发生变化了,则重新监控原来的路径上有没有产生新的禁区,如产生了,重新修正路径,根据新的目标导航路径控制所述第一车体。参照图4,图4中,1.1为库位;1.2为双向通道;1.3为单向通道;2.1-2.4为为AGV车体;3.1-3.2,为目标AGV车体的目标导航路径;4.1-4.3为AGV车体的行驶禁区,2.4为第一车体,2.1-2.3为第二车体,图4中,由于第二车体中的2.1进入了新的单行道,而第二车体中的2.3已驶出单行道,因此,通过重新规划目标导航路径,避开第二车体中的2.1与2.2所处的单行道。
本实施例提出的路径导航方法,通过获取第一车体当前的第一位置信息以及目的位置信息;接着获取第二车体当前的第二位置信息,其中,所述第二车体为所述第一车体所处行驶环境中除所述第一车体之外的其他车体;而后基于所述第一位置信息、所述第二位置信息以及所述目的位置信息,确定目标导航路径,并基于所述目标导航路径控制所述第一车体,进而在多台车体的行驶环境中,通过各个车体单独规划自身的导航路径,实现车体的分布式调度,无需通过服务器进行调度,通过车体的自主路径计算,使得多台车体的路径规划互不干扰。
基于第一实施例,提出本申请路径导航方法的第二实施例,参照图5,在本实施例中,步骤S200包括:
步骤S310,基于所述第二位置信息,确定所述第二车体中是否存在当前处于所述行驶环境中的单行道的第一目标车体;
步骤S320,若所述第二车体中存在所述第一目标车体,则在所述行驶环境对应的道路信息中将所述第一目标车体对应的单行道设置为禁止通行状态,以获得第一道路信息;
步骤S330,基于所述第一道路信息、所述第一位置信息、所述第二位置信息以及所述目的位置信息,确定所述目标导航路径。
本实施例中,在获取到第二位置信息时,基于第二位置信息,确定第二车体中是否存在当前处于行驶环境中的单行道的第一目标车体,即确定当前是否有在单行道行驶的车体(除第一车体之外),若第二车体中存在第一目标车体,则在行驶环境对应的道路信息中 将所述第一目标车体对应的单行道设置为禁止通行状态,以获得第一道路信息,例如,该道路信息为虚拟车道图层,若第二车体中存在第一目标车体,则在该虚拟车道图层中将第一目标车体对应的单行道设置为禁止通行状态,得第一道路信息即到新的虚拟车道图层。
而后,基于第二位置信息,确定第二车体中处于双向车道中的车体,在新的虚拟车道图层设置双向车道中的车体对应的禁止通行状态,得到更新后的虚拟车道图层,最后,基于更新后的虚拟车道图层、第一位置信息以及目的位置信息,获取第一车体的初始导航路径,基于更新后的虚拟车道图层,确定初始导航路径对应的双向车道信息以及双向车道信息对应的未经过车道信息,基于第一位置信息以及目的位置信息确定第一车体的行驶方向,确定双向车道信息中与行驶方向相反的反向车道信息,并将未经过车道信息以及反向车道信息作为待关闭车道信息,在更新后的虚拟车道图层中,将待关闭车道信息对应的虚拟车道设置为禁止通行状态,得到最终虚拟车道图层,基于最终虚拟车道图层、第一位置信息以及目的位置信息,确定车体对应的目标导航路径。
本实施例提出的路径导航方法,通过基于所述第二位置信息,确定所述第二车体中是否存在当前处于所述行驶环境中的单行道的第一目标车体;接着若所述第二车体中存在所述第一目标车体,则在所述行驶环境对应的道路信息中将所述第一目标车体对应的单行道设置为禁止通行状态,以获得第一道路信息;而后基于所述第一道路信息、所述第一位置信息、所述第二位置信息以及所述目的位置信息,确定所述目标导航路径,通过将被占用的单行道设置为禁止通行状态,能够提高第一车体进行路径规划的准确性,进而提高目标导航路径的准确性。
基于第二实施例,提出本申请路径导航方法的第三实施例,参照图6,在本实施例中,步骤S330包括:
步骤S331,基于所述第二位置信息,确定所述第二车体中是否存在当前处于所述行驶环境中的双行道的第二目标车体;
步骤S332,若所述第二车体中存在所述第二目标车体,则在所述第一道路信息中将所述第二目标车体当前所处道路中的预设区域设置为禁止通行状态,以获得第二道路信息;
步骤S333,基于所述第二道路信息、所述第一位置信息以及所述目的位置信息,确定所述目标导航路径。
本实施例中,获得第一道路信息时,基于第二位置信息,确定第二车体中是否存在当前处于所述行驶环境中的双行道的第二目标车体,若第二车体中存在第二目标车体,则在 所述第一道路信息中将所述第二目标车体当前所处道路中的预设区域设置为禁止通行状态,以获得第二道路信息,而后基于所述第二道路信息、所述第一位置信息以及所述目的位置信息,确定所述目标导航路径。
具体地,若第一道路信息为新的虚拟车道图层,则基于第二位置信息,确定第二车体中处于双向车道中的车体,在新的虚拟车道图层设置双向车道中的车体对应的禁止通行状态,得到更新后的虚拟车道图层,最后,基于更新后的虚拟车道图层、第一位置信息以及目的位置信息,获取第一车体的初始导航路径,基于更新后的虚拟车道图层,确定初始导航路径对应的双向车道信息以及双向车道信息对应的未经过车道信息,基于第一位置信息以及目的位置信息确定第一车体的行驶方向,确定双向车道信息中与行驶方向相反的反向车道信息,并将未经过车道信息以及反向车道信息作为待关闭车道信息,在更新后的虚拟车道图层中,将待关闭车道信息对应的虚拟车道设置为禁止通行状态,得到最终虚拟车道图层,基于最终虚拟车道图层、第一位置信息以及目的位置信息,确定车体对应的目标导航路径。
需要说明的是,若所述第二车体中不存在第二目标车体,则基于所述第一道路信息、所述第一位置信息以及所述目的位置信息,确定所述目标导航路径,即基于新的虚拟车道图层、第一位置信息以及目的位置信息,获取第一车体的初始导航路径,基于新的虚拟车道图层,确定初始导航路径对应的双向车道信息以及双向车道信息对应的未经过车道信息,基于第一位置信息以及目的位置信息确定第一车体的行驶方向,确定双向车道信息中与行驶方向相反的反向车道信息,并将未经过车道信息以及反向车道信息作为待关闭车道信息,在更新后的虚拟车道图层中,将待关闭车道信息对应的虚拟车道设置为禁止通行状态,得到最终虚拟车道图层,基于最终虚拟车道图层、第一位置信息以及目的位置信息,确定车体对应的目标导航路径。
其中,第二目标车体当前所处道路中的预设区域为该第二目标车体所处的道路中车体尺寸的2倍的区域,宽度为双行道的一半。
本实施例提出的路径导航方法,通过基于所述第二位置信息,确定所述第二车体中是否存在当前处于所述行驶环境中的双行道的第二目标车体,接着若所述第二车体中存在所述第二目标车体,则在所述第一道路信息中将所述第二目标车体当前所处道路中的预设区域设置为禁止通行状态,以获得第二道路信息,而后基于所述第二道路信息、所述第一位置信息以及所述目的位置信息,确定所述目标导航路径,通过将被占用的双行道中车体所在的预设区域设置为禁止通行状态,能够提高第一车体进行路径规划的准确性,进而提高 目标导航路径的准确性。
基于第二实施例,提出本申请路径导航方法的第四实施例,参照图7,在本实施例中,步骤S310之后,还包括:
步骤S340,若所述第二车体中不存在所述第一目标车体,则基于所述第二位置信息,确定所述第二车体中是否存在当前处于所述行驶环境中的双行道的第三目标车体;
步骤S350,若所述第二车体中存在所述第三目标车体,则在所述道路信息中将所述第三目标车体当前所处道路中的预设区域设置为禁止通行状态,以获得第三道路信息;
步骤S350,基于所述第三道路信息、所述第一位置信息以及所述目的位置信息,确定所述目标导航路径。
本实施例中,若第二车体中不存在第一目标车体,则基于第二位置信息,确定第二车体中是否存在当前处于所述行驶环境中的双行道的第三目标车体,若第二车体中存在第三目标车体,则在所述道路信息中将所述第三目标车体当前所处道路中的预设区域设置为禁止通行状态,以获得第三道路信息,而后基于所述第三道路信息、所述第一位置信息以及所述目的位置信息,确定所述目标导航路径。
具体地,基于第二位置信息,确定第二车体中处于双向车道中的车体,在新的虚拟车道图层设置双向车道中的车体对应的禁止通行状态,得到更新后的虚拟车道图层,最后,基于更新后的虚拟车道图层、第一位置信息以及目的位置信息,获取第一车体的初始导航路径,基于更新后的虚拟车道图层,确定初始导航路径对应的双向车道信息以及双向车道信息对应的未经过车道信息,基于第一位置信息以及目的位置信息确定第一车体的行驶方向,确定双向车道信息中与行驶方向相反的反向车道信息,并将未经过车道信息以及反向车道信息作为待关闭车道信息,在更新后的虚拟车道图层中,将待关闭车道信息对应的虚拟车道设置为禁止通行状态,得到最终虚拟车道图层,基于最终虚拟车道图层、第一位置信息以及目的位置信息,确定车体对应的目标导航路径。
本实施例提出的路径导航方法,通过若所述第二车体中不存在所述第一目标车体,则基于所述第二位置信息,确定所述第二车体中是否存在当前处于所述行驶环境中的双行道的第三目标车体;接着若所述第二车体中存在所述第三目标车体,则在所述道路信息中将所述第三目标车体当前所处道路中的预设区域设置为禁止通行状态,以获得第三道路信息;而后基于所述第三道路信息、所述第一位置信息以及所述目的位置信息,确定所述目标导航路径,通过将被占用的双行道中车体所在的预设区域设置为禁止通行状态,能够提高第一车体进行路径规划的准确性,进而提高目标导航路径的准确性。
基于第一实施例,提出本申请路径导航方法的第五实施例,参照图3,在本实施例中,步骤S300包括:
步骤S370,基于所述第一位置信息、所述第二位置信息以及所述目的位置信息,确定导航路线;
步骤S380,在所述导航路线包括多条时,分别计算各个导航路线对应的导航时长;
步骤S390,确定各个导航时长中的最短导航时长,并将所述最短导航时长对应的导航路线作为所述目标导航路径。
本实施例中,本实施例中,先根据基于所述第一位置信息、所述第二位置信息以及所述目的位置信息,确定导航路线,其中导航路线的规划方式与上述实施例中目标导航路径的规划方式相同。
而后,若导航路线仅有一条,则将该导航路线作为目标导航路径,若导航路线包括多条时,则分别计算各个导航路线对应的导航时长,并比较各个导航时长中的最短导航时长,并将最短导航时长对应的导航路线作为所述目标导航路径,以使得目标导航路径为最优导航路径,提高第一车体的导航效率。
本实施例提出的路径导航方法,通过基于所述第一位置信息、所述第二位置信息以及所述目的位置信息,确定导航路线,接着在所述导航路线包括多条时,分别计算各个导航路线对应的导航时长,而后确定各个导航时长中的最短导航时长,并将所述最短导航时长对应的导航路线作为所述目标导航路径,使得目标导航路径为最优导航路径,提高第一车体的导航效率。
基于第五实施例,提出本申请路径导航方法的第六实施例,在本实施例中,步骤S380包括:
步骤S381,依次获取各个导航路线对应的路径规划点信息,基于所述路径规划点信息确定各个导航路线对应的行驶时长;
步骤S382,基于所述第一车体的位姿信息以及各个导航路线对应的初始规划点,确定各个导航路线对应的位姿调整时长;
步骤S383,基于所述位姿调整时长以及所述行驶时长,确定各个导航路线对应的导航时长。
本实施例中,依次获取各个导航路线对应的路径规划点信息,基于所述路径规划点信息确定各个导航路线对应的行驶时长。而后,获取第一车体的位姿信息,根据该位姿信息以及各个导航路线对应的初始规划点,分别确定各个导航路线对应的位姿调整时长,其中, 初始规划点为各个路径规划点信息所包括的多个路径规划点中与第一位置信息对应的位置最近的规划点。
路径规划点信息包括各个路径规划点的坐标(x N,y N)以及各个路径规划点对应的速度V N,根据坐标(x N,y N)以及速度V N计算相邻两个路径规划点之间的规划时长t N,具体公式如下:
t N=((x N-x N-1) 2+(y N-y N-1) 2) 1/2/0.5(V N+V N-1);
进而等得到行驶时长t=∑t N
位姿信息包括第一车体的姿态角θ以及当前坐标(x0,y0)(SLAM坐标系),根据姿态角θ以及初始规划点(x1,y1)确定出发点姿态调整角度ω,具体公式如下:
ω=tan -1(y1/x1)+θ θ≤180;
ω=tan -1(y1/x1)+(180-θ) θ>180;
其中SLAM坐标系的坐标原点为当前坐标(x0,y0),而后,根据出发点姿态调整角度ω计算位姿调整时长t ω,具体公式如下:
t ω=ω/v;
其中,v为第一车体调整触发姿态角的角速度。
最后,基于位姿调整时长以及所述行驶时长,确定各个导航路线对应的导航时长,将每一条导航路线的位姿调整时长以及行驶时长相加得到导航时长,即导航时长T=t ω+t=t ω+∑t N
本实施例提出的路径导航方法,通过基于所述第一车体的位姿信息,确定各个导航路线对应的位姿调整时长;而后基于各个导航路线的路线长度,确定各个导航路线对应的行驶时长;最后基于所述位姿调整时长以及所述行驶时长,确定各个导航路线对应的导航时长,能够根据每一条导航路线的位姿调整时长以及所述行驶时长准确得到其对应的导航时长,提高导航时长计算的准确性,进而提高第一车体的导航效率。
基于上述各个实施例,提出本申请路径导航方法的第七实施例,在本实施例中,步骤S200之后,该路径导航方法还包括:
步骤S400,基于所述第一位置信息确定第一车体当前是否处于所述行驶环境对应的道路信息中的单行道中;
步骤S500,若所述第一车体当前处于单行道中,则基于所述第二位置信息,确定所述第一车体所处的单行道中,是否存在与所述第一车体的行驶方向相反的第三车体;
步骤S600,若不存在所述第三车体,则执行所述基于所述第一位置信息、所述第二位置信息以及所述目的位置信息,确定目标导航路径的步骤。
本实施例中,基于所述第一位置信息,确定第一车体当前是否处于行驶环境对应的道路信息中的单行道中,若所述第一车体当前处于单行道中,则基于第二位置信息,确定第一车体所处的单行道中,是否存在与第一车体的行驶方向相反的第三车体,及确定第一车体与第三车体是否处于该单行道的两端,若不存在所述第三车体,则执行步骤S300,以使该第一车体通过该单行道。
进一步地,在一实施例中,步骤S500之后,还包括:
步骤a,若存在所述第三车体,则所述第一位置信息以及目的位置信息,确定所述第一车体的第一剩余行驶时长,并获取所述第三车体的第二剩余行驶时长;
步骤b,若所述第一剩余行驶时长小于或等于所述第二剩余行驶时长,则控制所述第一车体停止行驶,实时获取所述第三车体的第三位置信息,并在基于所述第三位置信息确定所述第三车体驶离所述第一车体所处的单行道时,继续执行所述获取第二车体当前的第二位置信息的步骤;
步骤c,若所述第一剩余行驶时长大于所述第二剩余行驶时长,则控制所述第一车体反向行驶,并在所述第一车体驶离所述第一车体所处的单行道时,继续执行获取第一车体当前的第一位置信息以及目的位置信息的步骤。
本实施例中,若存在第三车体,即第一车体与第三车体处于该单行道的两端,第一位置信息以及目的位置信息,确定所述第一车体的第一剩余行驶时长,并获取第三车体的第二剩余行驶时长。
而后,若所述第一剩余行驶时长小于或等于所述第二剩余行驶时长,则控制第一车体停止行驶以原地等待,同时,实时获取第三车体的第三位置信息,并在基于第三位置信息确定所述第三车体驶离所述第一车体所处的单行道时,继续执行获取第二车体当前的第二位置信息的步骤,以在第三车体退出单行道后继续导航,其中,第二车体获取第一剩余行驶时长,第二车体通过比较确定第一剩余行驶时长小于或等于第二剩余行驶时长,进而第二车体反向行驶,以退出该单行道,并实时发送第二车体的第三位置信息至第一车体,需要说明的是,在基于第三位置信息确定所述第三车体驶离所述第一车体所处的单行道时,第一车体可在预设时长之后继续执行获取第二车体当前的第二位置信息的步骤,以确保第三车体不会占用该单行道出口的位置。
若所述第一剩余行驶时长大于所述第二剩余行驶时长,则控制所述第一车体反向行 驶,以退出该单行道,同时实时发送第一车体的位置信息至第三车体,并在所述第一车体驶离所述第一车体所处的单行道时,继续执行获取第一车体当前的第一位置信息以及目的位置信息的步骤。
可以理解的是,在行驶环境中的车体定时广播其各自的位置信息时,由于各个车体广播位置信息的时刻可能不同,或者遇到网络状况不好而导致其他车体的位置无法获取到时,可能造成两辆车体刚好都进入了单向道的两端,通过上述方式,使得一端的车体主动退出单行道,以提高导航效率。
本实施例提出的路径导航方法,通过基于所述第一位置信息确定第一车体当前是否处于所述行驶环境对应的道路信息中的单行道中;接着若所述第一车体当前处于单行道中,则基于所述第二位置信息,确定所述第一车体所处的单行道中,是否存在与所述第一车体的行驶方向相反的第三车体;而后若不存在所述第三车体,则执行所述基于所述第一位置信息、所述第二位置信息以及所述目的位置信息,确定目标导航路径的步骤,通过确保该单行道无其他车体,进一步提高第一车体的导航效率。
此外,本申请实施例还提出一种计算机可读存储介质,所述计算机可读存储介质上存储有计算机可读指令,所述计算机可读指令被处理器执行时实现如下操作:
获取第一车体当前的第一位置信息以及目的位置信息;
获取第二车体当前的第二位置信息,其中,所述第二车体为所述目标车体所处行驶环境中除所述第一车体之外的其他车体;
基于所述第一位置信息、所述第二位置信息以及所述目的位置信息,确定目标导航路径,并基于所述目标导航路径控制所述第一车体。
进一步地,所述计算机可读指令被处理器执行时还实现如下操作:
基于所述第二位置信息,确定所述第二车体中是否存在当前处于所述行驶环境中的单行道的第一目标车体;
若所述第二车体中存在所述第一目标车体,则在所述行驶环境对应的道路信息中将所述第一目标车体对应的单行道设置为禁止通行状态,以获得第一道路信息;
基于所述第一道路信息、所述第一位置信息、所述第二位置信息以及所述目的位置信息,确定所述目标导航路径。
进一步地,所述计算机可读指令被处理器执行时还实现如下操作:
基于所述第二位置信息,确定所述第二车体中是否存在当前处于所述行驶环境中的双行道的第二目标车体;
若所述第二车体中存在所述第二目标车体,则在所述第一道路信息中将所述第二目标车体当前所处道路中的预设区域设置为禁止通行状态,以获得第二道路信息;
基于所述第二道路信息、所述第一位置信息以及所述目的位置信息,确定所述目标导航路径。
进一步地,所述计算机可读指令被处理器执行时还实现如下操作:
若所述第二车体中不存在所述第一目标车体,则基于所述第二位置信息,确定所述第二车体中是否存在当前处于所述行驶环境中的双行道的第三目标车体;
若所述第二车体中存在所述第三目标车体,则在所述道路信息中将所述第三目标车体当前所处道路中的预设区域设置为禁止通行状态,以获得第三道路信息;
基于所述第三道路信息、所述第一位置信息以及所述目的位置信息,确定所述目标导航路径。
进一步地,所述计算机可读指令被处理器执行时还实现如下操作:
基于所述第一位置信息、所述第二位置信息以及所述目的位置信息,确定导航路线;
在所述导航路线包括多条时,分别计算各个导航路线对应的导航时长;
确定各个导航时长中的最短导航时长,并将所述最短导航时长对应的导航路线作为所述目标导航路径。
进一步地,所述计算机可读指令被处理器执行时还实现如下操作:
依次获取各个导航路线对应的路径规划点信息,基于所述路径规划点信息确定各个导航路线对应的行驶时长;
基于所述第一车体的位姿信息以及各个导航路线对应的初始规划点,确定各个导航路线对应的位姿调整时长;
基于所述位姿调整时长以及所述行驶时长,确定各个导航路线对应的导航时长。
进一步地,所述计算机可读指令被处理器执行时还实现如下操作:
基于所述第一位置信息确定第一车体当前是否处于所述行驶环境对应的道路信息中的单行道中;
若所述第一车体当前处于单行道中,则基于所述第二位置信息,确定所述第一车体所处的单行道中,是否存在与所述第一车体的行驶方向相反的第三车体;
若不存在所述第三车体,则执行所述基于所述第一位置信息、所述第二位置信息以及所述目的位置信息,确定目标导航路径的步骤。
进一步地,所述计算机可读指令被处理器执行时还实现如下操作:
若存在所述第三车体,则所述第一位置信息以及目的位置信息,确定所述第一车体的第一剩余行驶时长,并获取所述第三车体的第二剩余行驶时长;
若所述第一剩余行驶时长小于或等于所述第二剩余行驶时长,则控制所述第一车体停止行驶,实时获取所述第三车体的第三位置信息,并在基于所述第三位置信息确定所述第三车体驶离所述第一车体所处的单行道时,继续执行所述获取第二车体当前的第二位置信息的步骤;
若所述第一剩余行驶时长大于所述第二剩余行驶时长,则控制所述第一车体反向行驶,并在所述第一车体驶离所述第一车体所处的单行道时,继续执行获取第一车体当前的第一位置信息以及目的位置信息的步骤。
需要说明的是,在本文中,术语“包括”、“包含”或者其任何其他变体意在涵盖非排他性的包含,从而使得包括一系列要素的过程、方法、物品或者系统不仅包括那些要素,而且还包括没有明确列出的其他要素,或者是还包括为这种过程、方法、物品或者系统所固有的要素。在没有更多限制的情况下,由语句“包括一个……”限定的要素,并不排除在包括该要素的过程、方法、物品或者系统中还存在另外的相同要素。
上述本申请实施例序号仅仅为了描述,不代表实施例的优劣。
通过以上的实施方式的描述,本领域的技术人员可以清楚地了解到上述实施例方法可借助软件加必需的通用硬件平台的方式来实现,当然也可以通过硬件,但很多情况下前者是更佳的实施方式。基于这样的理解,本申请的技术方案本质上或者说对现有技术做出贡献的部分可以以软件产品的形式体现出来,该计算机软件产品存储在如上所述的一个存储介质(如ROM/RAM、磁碟、光盘)中,包括若干指令用以使得一台终端设备(可以是手机,计算机,服务器,空调器,或者网络设备等)执行本申请各个实施例所述的方法。
以上仅为本申请的优选实施例,并非因此限制本申请的专利范围,凡是利用本申请说明书及附图内容所作的等效结构或等效流程变换,或直接或间接运用在其他相关的技术领域,均同理包括在本申请的专利保护范围内。

Claims (15)

  1. 一种路径导航方法,其中,所述路径导航方法包括以下步骤:
    获取第一车体当前的第一位置信息以及目的位置信息;
    获取第二车体当前的第二位置信息,其中,所述第二车体为所述第一车体所处行驶环境中除所述第一车体之外的其他车体;以及,
    基于所述第一位置信息、所述第二位置信息以及所述目的位置信息,确定目标导航路径,并基于所述目标导航路径控制所述第一车体。
  2. 如权利要求1所述的路径导航方法,其中,所述基于所述第一位置信息、所述第二位置信息以及所述目的位置信息,确定目标导航路径的步骤包括:
    基于所述第二位置信息,确定所述第二车体中存在当前处于所述行驶环境中的单行道的第一目标车体,在所述行驶环境对应的道路信息中将所述第一目标车体对应的单行道设置为禁止通行状态,以获得第一道路信息;以及,
    基于所述第一道路信息、所述第一位置信息、所述第二位置信息以及所述目的位置信息,确定所述目标导航路径。
  3. 如权利要求2所述的路径导航方法,其中,所述基于所述第一道路信息、所述第一位置信息、所述第二位置信息以及所述目的位置信息,确定所述目标导航路径的步骤包括:
    基于所述第二位置信息,确定所述第二车体中存在当前处于所述行驶环境中的双行道的第二目标车体,在所述第一道路信息中将所述第二目标车体当前所处道路中的预设区域设置为禁止通行状态,以获得第二道路信息;以及,
    基于所述第二道路信息、所述第一位置信息以及所述目的位置信息,确定所述目标导航路径。
  4. 如权利要求2所述的路径导航方法,其中,所述基于所述第一位置信息、所述第二位置信息以及所述目的位置信息,确定目标导航路径的步骤包括:
    基于所述第二位置信息,确定所述第二车体中不存在当前处于所述行驶环境中的单行道的第一目标车体,基于所述第二位置信息,确定所述第二车体中存在当前处于所述行驶环境中的双行道的第三目标车体,在所述道路信息中将所述第三目标车体当前所处道路中的预设区域设置为禁止通行状态,以获得第三道路信息;以及,
    基于所述第三道路信息、所述第一位置信息以及所述目的位置信息,确定所述目标 导航路径。
  5. 如权利要求1所述的路径导航方法,其中,所述基于所述第一位置信息、所述第二位置信息以及所述目的位置信息,确定目标导航路径的步骤包括:
    基于所述第一位置信息、所述第二位置信息以及所述目的位置信息,确定导航路线;
    所述导航路线包括多条,分别计算各个导航路线对应的导航时长;以及,
    确定各个导航时长中的最短导航时长,并将所述最短导航时长对应的导航路线作为所述目标导航路径。
  6. 如权利要求5所述的路径导航方法,其中,所述计算各个导航路线对应的导航时长的步骤包括:
    依次获取各个导航路线对应的路径规划点信息,基于所述路径规划点信息确定各个导航路线对应的行驶时长;
    基于所述第一车体的位姿信息以及各个导航路线对应的初始规划点,确定各个导航路线对应的位姿调整时长;以及,
    基于所述位姿调整时长以及所述行驶时长,确定各个导航路线对应的导航时长。
  7. 如权利要求1所述的路径导航方法,其中,所述获取第二车体当前的第二位置信息的步骤之后,所述路径导航方法还包括:
    基于所述第一位置信息确定第一车体当前处于所述行驶环境对应的道路信息中的单行道中,基于所述第二位置信息,确定所述第一车体所处的单行道中,不存在与所述第一车体的行驶方向相反的第三车体,执行所述基于所述第一位置信息、所述第二位置信息以及所述目的位置信息,确定目标导航路径的步骤。
  8. 如权利要求7所述的路径导航方法,其中,所述基于所述第一位置信息确定第一车体当前处于所述行驶环境对应的道路信息中的单行道中的步骤之后,所述路径导航方法还包括:
    若存在所述第三车体,基于所述第一位置信息以及目的位置信息,确定所述第一车体的第一剩余行驶时长,并获取所述第三车体的第二剩余行驶时长;
    若所述第一剩余行驶时长小于或等于所述第二剩余行驶时长,则控制所述第一车体停止行驶,实时获取所述第三车体的第三位置信息,并在基于所述第三位置信息确定所述第三车体驶离所述第一车体所处的单行道时,继续执行所述获取第二车体当前的第二位置信息的步骤;以及,
    若所述第一剩余行驶时长大于所述第二剩余行驶时长,则控制所述第一车体反向行 驶,并在所述第一车体驶离所述第一车体所处的单行道时,继续执行获取第一车体当前的第一位置信息以及目的位置信息的步骤。
  9. 如权利要求2所述的路径导航方法,其中,所述获取第二车体当前的第二位置信息的步骤之后,所述路径导航方法还包括:
    基于所述第一位置信息确定第一车体当前处于所述行驶环境对应的道路信息中的单行道中,基于所述第二位置信息,确定所述第一车体所处的单行道中,不存在与所述第一车体的行驶方向相反的第三车体,执行所述基于所述第一位置信息、所述第二位置信息以及所述目的位置信息,确定目标导航路径的步骤。
  10. 如权利要求3所述的路径导航方法,其中,所述获取第二车体当前的第二位置信息的步骤之后,所述路径导航方法还包括:
    基于所述第一位置信息确定第一车体当前处于所述行驶环境对应的道路信息中的单行道中,基于所述第二位置信息,确定所述第一车体所处的单行道中,不存在与所述第一车体的行驶方向相反的第三车体,执行所述基于所述第一位置信息、所述第二位置信息以及所述目的位置信息,确定目标导航路径的步骤。
  11. 如权利要求4所述的路径导航方法,其中,所述获取第二车体当前的第二位置信息的步骤之后,所述路径导航方法还包括:
    基于所述第一位置信息确定第一车体当前处于所述行驶环境对应的道路信息中的单行道中,基于所述第二位置信息,确定所述第一车体所处的单行道中,不存在与所述第一车体的行驶方向相反的第三车体,执行所述基于所述第一位置信息、所述第二位置信息以及所述目的位置信息,确定目标导航路径的步骤。
  12. 如权利要求5所述的路径导航方法,其中,所述获取第二车体当前的第二位置信息的步骤之后,所述路径导航方法还包括:
    基于所述第一位置信息确定第一车体当前处于所述行驶环境对应的道路信息中的单行道中,基于所述第二位置信息,确定所述第一车体所处的单行道中,不存在与所述第一车体的行驶方向相反的第三车体,执行所述基于所述第一位置信息、所述第二位置信息以及所述目的位置信息,确定目标导航路径的步骤。
  13. 如权利要求6所述的路径导航方法,其中,所述获取第二车体当前的第二位置信息的步骤之后,所述路径导航方法还包括:
    基于所述第一位置信息确定第一车体当前处于所述行驶环境对应的道路信息中的单行道中,基于所述第二位置信息,确定所述第一车体所处的单行道中,不存在与所述第一 车体的行驶方向相反的第三车体,执行所述基于所述第一位置信息、所述第二位置信息以及所述目的位置信息,确定目标导航路径的步骤。
  14. 一种路径导航装置,其中,所述路径导航装置包括:存储器、处理器及存储在所述存储器上并可在所述处理器上运行的计算机可读指令,所述计算机可读指令被所述处理器执行时,实现如下步骤:
    获取第一车体当前的第一位置信息以及目的位置信息;
    获取第二车体当前的第二位置信息,其中,所述第二车体为所述第一车体所处行驶环境中除所述第一车体之外的其他车体;以及,
    基于所述第一位置信息、所述第二位置信息以及所述目的位置信息,确定目标导航路径,并基于所述目标导航路径控制所述第一车体。
  15. 一种计算机可读存储介质,其中,所述计算机可读存储介质上存储有计算机可读指令,所述计算机可读指令被处理器执行时,实现如下步骤:
    获取第一车体当前的第一位置信息以及目的位置信息;
    获取第二车体当前的第二位置信息,其中,所述第二车体为所述第一车体所处行驶环境中除所述第一车体之外的其他车体;以及,
    基于所述第一位置信息、所述第二位置信息以及所述目的位置信息,确定目标导航路径,并基于所述目标导航路径控制所述第一车体。
PCT/CN2020/112209 2019-11-12 2020-08-28 路径导航方法、装置及计算机可读存储介质 WO2021093419A1 (zh)

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