Patent Grant
11915494
The present application is based on PCT filing PCT/JP2019/024281, filed Jun. 19, 2019, the entire contents of which are incorporated herein by reference.
The present invention relates to, in a driving assistance system using communication, a relative position determining apparatus, a relative position determining method, and a non-transitory computer readable recording medium for determining relative positions of moving objects.
Driving assistance systems using communication provide driving assistance aiming at improving safety and comfort by exchanging position information between moving objects and determining relative positions of the moving objects. Here, the relative positions are information indicating a relative position relationship between two moving objects. Methods for determining relative positions include a method for determining relative positions by matching moving objects to map information based on position information of each of the moving objects. However, in the presence of an error in at least one of the position information of each of the moving objects and the map information, relative position information is mistakenly determined in such a determining method.
To address the problem, technologies for restricting driving assistance in the presence of an error in position information of a moving object have conventionally been disclosed (see, for example, Patent Document 1). Furthermore, technologies for correcting map information using time series of position information of a moving object in the presence of an error in the map information have been disclosed (see, for example, Patent Document 2).
Patent Documents 1 and 2 are predicated on the fact that the position information of each of the moving objects or the map information is clearly accurate. When whether the position information of each of the moving objects or the map information is accurate is unknown, Patent Documents 1 and 2 are not applicable. Specifically, when whether the position information of each of the moving objects or the map information is accurate is unknown, relative positions of the moving objects cannot be accurately determined according to Patent Documents 1 and 2.
The present invention has been conceived to solve such a problem, and has an object of providing a relative position determining apparatus, a relative position determining method, and a non-transitory computer readable recording medium which enable accurate determination of the relative positions of the moving objects even when whether the position information of each of the moving objects or the map information is accurate is unknown.
To solve the problem, a relative position determining apparatus according to the present invention includes: a first trajectory information obtaining unit to obtain first trajectory information that is a set of first trajectory points indicating positions that a first moving object has passed; a second trajectory information obtaining unit to obtain second trajectory information that is a set of second trajectory points indicating positions that a second moving object has passed; a map information obtaining unit to obtain map information including lane shape information indicating a shape of each lane; a matching determining unit to determine whether each of the first trajectory information and the second trajectory information matches the lane shape information; and a relative lane determining unit to determine relative lanes of the first moving object and the second moving object, based on a result of the determination by the matching determining unit.
Since the relative position determining apparatus according to the present invention includes: a matching determining unit to determine whether each of the first trajectory information and the second trajectory information matches the lane shape information; and a relative lane determining unit to determine relative lanes of the first moving object and the second moving object, based on a result of the determination by the matching determining unit, the relative position determining apparatus can accurately determine the relative positions of the moving objects even when whether the position information of each of the moving objects or the map information is accurate is unknown.
The object, features, aspects and advantages of the present invention will become more apparent from the following detailed description and the accompanying drawings.
Embodiments of the present invention will be hereinafter described based on the drawings.
[1-1. Configuration of Driving Assistance System]
The subject moving object HV is a moving object that provides driving assistance to the driver. The subject moving object HV is equipped with: a self position estimation device 1 that estimates position information of the subject moving object HV; a moving object communication device 2 that receives position information of the non-subject moving object RV; a map information distribution device 3 that distributes map information; a relative position determining apparatus 4 that determines relative positions of the subject moving object HV and the non-subject moving object RV; and a driving assistance device 5 that provides driving assistance to the driver.
The non-subject moving object RV is a moving object that regularly transmits the position information of the non-subject moving object RV to the subject moving object HV. Although the non-subject moving object RV is equipped with at least a self position estimation device that estimates the position information of the non-subject moving object RV and a moving object communication device that transmits the position information of the non-subject moving object RV to the subject moving object HV, the non-subject moving object RV may have the same configuration as that of the subject moving object HV. The number of the non-subject moving objects RV may be one, or two or more.
The position information is information uniquely indicating a position that a moving object has passed or a current position of the moving object, and includes, for example, latitude and longitude. The position information may include, for example, time, altitude, azimuth in which the moving object travels, speed of the moving object, acceleration of the moving object, a yaw rate of the moving object, a pitch rate of the moving object, a roll rate of the moving object, a vehicle state of the moving object, and an amount of a positioning error. Furthermore, the position information is a measurement value obtained by positioning the moving object, or a value estimated from the measurement value, and information including a positioning error.
Trajectory information is information indicating time series of position information of a moving object, and is a set of trajectory points indicating positions that the moving object has passed. The trajectory information may include the entirety of the position information obtained through positioning, or a representative part of the position information.
The self position estimation device 1 is a positioning device that regularly generates the position information by estimating a real-time position of the moving object. The self position estimation device 1 may estimate a position using, for example, a Global Navigation Satellite System (GNSS) unit that performs satellite positioning. Besides the GNSS unit, the self position estimation device 1 may use, in combination, a vehicle speed sensor that detects the speed of the moving object, a wheel encoder that detects the number of times the wheels of the moving object have rotated, an inertial measurement unit (IMU) that detects the acceleration and the attitude of the moving object, and a laser range finder (LRF) that observes a feature around the moving object, and estimate a position through combined use of information obtained from these devices.
The moving object communication device 2 is a radio communication device that transmits position information to the non-subject moving object RV existing around the subject moving object HV, or receives position information from the non-subject moving object RV. The radio communication systems to be used by the moving object communication device 2 may be any communication systems enabling mobile communication, for example, narrow-area radio communications including Dedicated Short Range Communication (DSRC, trademark), wireless Local Area Network (LAN), and Bluetooth (trademark), wide-area radio communications including Long Term Evolution (LTE, trademark), World Interoperability For Microwave Access (WiMAX, trademark), IEEE802.11p studied in Europe and the United States for mobile communication, and Communication Access for Land Mobile (CALM).
The map information distribution device 3 is a device that stores map information and provides map information around the subject moving object HV based on the position information of the subject moving object HV. Example provision methods to be performed by the map information distribution device 3 may include the use of Advanced Driver Assistance System Interface Specification (ADASIS) that is a standard interface on provision of map information, and an original method.
The map information is road map information indicating shapes, attributes, and connections of roads on which the moving object travels, and is information including lane shape information indicating a shape of each lane. The lane shape information is information representing a shape of a lane at a sub-meter resolution, a centimeter resolution, or a resolution higher than these. Example representation forms of the lane shape may include the way the center of a lane is represented, the way a section between lanes is represented, the way a region of a lane is represented, or another way. The map information and the lane shape information include a survey error caused by a survey, a mapping error caused by mapping, and a deterioration error caused by secular changes.
The relative position determining apparatus 4 is an apparatus that determines relative positions of two moving objects, and an apparatus that characterizes Embodiment 1. The relative positions are information indicating a relative position relationship between two moving objects, and information including relative lanes of the two moving objects. The relative lanes are information indicating, with respect to a lane on which one of the two moving objects exists, on which lane the other moving object exists. For example, the relative position determining apparatus 4 determines the same lane when one of moving objects and the other moving object are on the same lane, determines the right lane when the other moving object exists on a lane to the right of the lane on which the one of moving objects exists, determines the left lane when the other moving object exists on a lane to the left of the lane on which the one of moving objects exists, determines two lanes right when the other moving object exists two lanes right from the lane on which the one of moving objects exists, and determines two lanes left when the other moving object exists two lanes left from the lane on which the one of moving objects exists.
The relative positions may include not only the relative lanes but also information on a position relationship between the two moving objects. For example, the relative positions may include a relative distance, a relative speed, or a relative direction of the two moving objects.
The relative position determining apparatus 4 is connected to the self position estimation device 1, the moving object communication device 2, the map information distribution device 3, and the driving assistance device 5 through a network. The network may be any as long as it allows communication of information, for example, Flex Control Area Network (FlexCAN), Ethernet (trademark), or another communication standard.
The driving assistance device 5 is a device that determines details of driving assistance based on the relative positions determined by the relative position determining apparatus 4, and provides the driving assistance to the driver of the subject moving object HV. When the driving assistance device 5 having, for example, a collision avoidance function determines that the subject moving object HV and the non-subject moving object RV may collide with each other based on the relative positions determined by the relative position determining apparatus 4, the driving assistance device 5 alerts the driver through the Human Machine Interface (HMI), or controls the brake, the accelerator, the transmission, or the engine of the subject moving object HV to avoid the collision with the non-subject moving object RV.
[1-2. Configuration of Relative Position Determining Apparatus 4]
The relative position determining apparatus 4 includes: a first trajectory information obtaining unit 41 that obtains first trajectory information that is trajectory information on the subject moving object HV that is the first moving object; a second trajectory information obtaining unit 42 that obtains second trajectory information that is trajectory information on the non-subject moving object RV that is the second moving object; a map information obtaining unit 43 that obtains map information including lane shape information indicating a shape of each lane; a matching determining unit 44 that determines whether each of the first trajectory information and the second trajectory information matches the lane shape information; and a relative lane determining unit 45 that determines relative lanes of the non-subject moving object RV and the subject moving object HV, based on a result of the determination by the matching determining unit 44.
The relative position determining apparatus 4 is a calculator including storage in which a program and a parameter for implementing each of the aforementioned functions are stored, a Central Processing Unit (CPU) that executes the program, a memory in which a result of the calculation by the CPU and the program executed by the CPU are temporarily held, and an interface that communicates with another device.
The first trajectory information obtaining unit 41 obtains, from the self position estimation device 1, the first trajectory information that is the trajectory information on the subject moving object HV. Examples of a method for obtaining the first trajectory information by the first trajectory information obtaining unit 41 may include a method for accumulating the position information successively output by the self position estimation device 1 to generate the first trajectory information, and a method for obtaining a plurality of the position information accumulated by the self position estimation device 1 as the first trajectory information.
The second trajectory information obtaining unit 42 obtains, from the moving object communication device 2, the second trajectory information that is the trajectory information on the non-subject moving object RV. A method for obtaining the second trajectory information by the second trajectory information obtaining unit 42 may be the same as that for obtaining the first trajectory information by the first trajectory information obtaining unit 41.
The map information obtaining unit 43 obtains the map information from the map information distribution device 3. Examples of a method for obtaining the map information by the map information obtaining unit 43 may include a method for storing the map information successively output by the map information distribution device 3, and a method for requesting map information of a necessary region from the map information distribution device 3.
The matching determining unit 44 calculates a geometric differential amount between each first trajectory point included in the first trajectory information and the lane shape information included in the map information, estimates a matching section that is a section in which the first trajectory information and the lane shape information match, based on time series of the differential amounts, and generates first matching information including the matching section. The matching determining unit 44 also calculates a geometric differential amount between each second trajectory point included in the second trajectory information and the lane shape information included in the map information, estimates a matching section that is a section in which the second trajectory information and the lane shape information match, based on time series of the differential amounts, and generates second matching information including the matching section. The matching determining unit 44 includes a geometric amount calculating unit 441 that calculates a geometric differential amount, and a matching section estimating unit 442 that estimates a matching section based on a result of the calculation by the geometric amount calculating unit 441.
The matching section is information indicating a start point and an end point of the matching section. The matching section may be represented by, for example, arbitrary coordinates, trajectory points, a travel distance in the trajectory information, an identifier of a lane included in the map information and a travel distance, or another representation method.
The matching information may include matching types each indicating a type of a matching section, or another information. The matching types are information for the matching determining unit 44 and the relative lane determining unit 45 for identifying a type of a matching section. Examples of the matching types include “position matching section” when the trajectory information and the lane shape information match in position, “shape matching section” when the trajectory information and the lane shape information match in shape, and “analogous matching section” when the trajectory information and the lane shape information are different in position and shape but may expectedly match each other. The matching types may consist of these three types, or include another type. The following description is based on the three matching types.
The geometric amount calculating unit 441 calculates a geometric differential amount between each of the first trajectory points and the lane shape information. The geometric amount calculating unit 441 also calculates a geometric differential amount between each of the second trajectory points and the lane shape information. The geometric amount calculating unit 441 may calculate a differential amount between each of the trajectory points and the lane shape information, for example, by calculating, using the trajectory points and the lane shape information, a neighbor distance based on latitude and longitude, an azimuth difference based on azimuth, or an altitude difference based on altitude.
The matching section estimating unit 442 estimates a matching section in which the first trajectory information and the lane shape information match, based on the time series of the differential amounts on the first trajectory points that have been calculated by the geometric amount calculating unit 441 to generate the first matching information including the matching section. The matching section estimating unit 442 also estimates a matching section in which the second trajectory information and the lane shape information match, based on the time series of the differential amounts on the second trajectory points that have been calculated by the geometric amount calculating unit 441 to generate the second matching information including the matching section.
The matching section estimating unit 442 may estimate only a matching section in which the trajectory information and the lane shape information completely match. The matching section estimating unit 442 may estimate at least one matching section in which the trajectory information and the lane shape information partially match, or combine two or more of such matching sections and estimate the sections as one matching section. When the matching information includes a matching section, the matching section estimating unit 442 may associate, with the matching section, a matching type corresponding to a method for estimating a matching section.
Here, a method for estimating a matching section by the matching section estimating unit 442 will be described. The estimating method described below is a mere example but may be another estimating method.
First, the matching section estimating unit 442 estimates a position matching section. Examples of a method for estimating a position matching section may include estimating, as a position matching section, a section in which the number of consecutive trajectory points whose neighbor distance with the lane shape information falls within a preset threshold is a certain value or larger. The preset threshold may be, for example, a fixed value ranging from 1.0 to 2.0 m, or a value calculated from a lane width if included in the map information. The section in which the number of consecutive trajectory points is a certain value or larger may be, for example, a section including three consecutive trajectory points or more, or a section in which a travel distance between the trajectory points is 20 m or longer.
Next, the matching section estimating unit 442 estimates a shape matching section. Examples of a method for estimating a shape matching section may include estimating, as a shape matching section, a section in which the number of consecutive trajectory points which have been determined as not in the position matching section and whose variance of a neighbor distance with the lane shape information falls within a threshold is a certain value or larger. The preset threshold may be, for example, a standard deviation lower than or equal to 1.0 m, or a value calculated from a lane width if included in the map information.
Finally, the matching section estimating unit 442 estimates an analogous matching section. Examples of a method for estimating an analogous matching section may include estimating, as a position matching section, trajectory points which have been determined as not in the position matching section or the shape matching section and that are located within a certain distance in backward and forward direction, and estimating, as an analogous matching section, the section with a high probability of a lane change based on the trajectory information. For example, a fixed value ranging from 10 to 20 m, or a value calculated from a speed if included in the position information may be set as the certain distance in backward and forward direction.
The relative lane determining unit 45 selects a relative lane determining method to be executed from among a plurality of relative lane determining methods, by determining whether the subject moving object HV and the non-subject moving object RV correspond to the map information, based on a determination result of the matching on the subject moving object HV and a determination result of the matching on the non-subject moving object RV. Then, the relative lane determining unit 45 determines relative lanes of the non-subject moving object RV and the subject moving object HV in the selected relative lane determining method, and outputs the determination result as relative position information.
The relative lane determining unit 45 includes a first determining unit 453 and a second determining unit 454 that determine relative lanes of two moving objects, a consecutive section determining unit 451 that determines whether matching sections of the two moving objects are consecutive, and a determining method selecting unit 452 that selects a relative lane determining method to be executed from among a plurality of relative lane determining methods.
The first determining unit 453 determines relative lanes of the subject moving object HV and the non-subject moving object RV based on the map information. For example, the first determining unit 453 may map the current positions of the subject moving object HV and the non-subject moving object RV on a map, and determine relative lanes of the subject moving object HV and the non-subject moving object RV from the positon relationship of the lanes included in the map information. Furthermore, the first determining unit 453 may calculate a lateral distance between the lane shape information and the current position of the subject moving object HV and a lateral distance between the lane shape information and the current position of the non-subject moving object RV, based on a result of the mapping, and determine relative lanes of the subject moving object HV and the non-subject moving object RV based on a differential amount between these distances.
The second determining unit 454 determines relative lanes of the subject moving object HV and the non-subject moving object RV without using the map information. For example, the second determining unit 454 determines relative lanes of the subject moving object HV and the non-subject moving object RV based on the first trajectory information, the second trajectory information, and a preset threshold of a lane width, without using the map information.
The first determining unit 453 and the second determining unit 454 may perform not only the aforementioned relative lane determining methods, but also other relative lane determining methods that are different from each other. The relative lane determining unit 45 may further include another determining unit other than the first determining unit 453 and the second determining unit 454.
Although inclusion of separate determining units corresponding to the respective relative lane determining methods are described with reference to
The consecutive section determining unit 451 determines whether a matching section to which the current position of the subject moving object HV belongs and a matching section to which the current position of the non-subject moving object RV belongs are consecutive, based on the first matching information on the subject moving object HV and the second matching information on the non-subject moving object RV. Being consecutive indicates a state where the two matching sections overlap one another, are adjacent to each other, or are in contact with each other through one or more matching sections that overlap or adjacent to the two matching sections.
The consecutive section determining unit 451 may determine that the matching sections are not consecutive or otherwise, in the absence of the matching section to which the current position of the subject moving object HV belongs or the matching section to which the current position of the non-subject moving object RV belongs. Even in the absence of the matching section to which the current position of the subject moving object HV belongs, the consecutive section determining unit 451 may determine, when a matching section consecutive to the matching section to which the current position of the non-subject moving object RV belongs includes the current position of the subject moving object HV, that the matching sections are consecutive. Furthermore, even in the absence of the matching section to which the current position of the non-subject moving object RV belongs, the consecutive section determining unit 451 may determine, when a matching section consecutive to the matching section to which the current position of the subject moving object HV belongs includes the current position of the non-subject moving object RV, that the matching sections are consecutive.
The determining method selecting unit 452 selects one of the first determining unit 453 and the second determining unit 454, based on a result of the determination by the consecutive section determining unit 451. For example, when the result of the determination by the consecutive section determining unit 451 is positive, that is, when the consecutive section determining unit 451 determines that the matching sections are consecutive, the determining method selecting unit 452 selects the first determining unit 453 because the map information, the first trajectory information, and the second trajectory information are accurate. When the result of the determination by the consecutive section determining unit 451 is negative, that is, when the consecutive section determining unit 451 determines that the matching sections are not consecutive, the determining method selecting unit 452 selects the second determining unit 454 because the map information is probably inaccurate.
The determining method selecting unit 452 may add conditions for selecting a relative lane determining method, other than the result of the determination by the consecutive section determining unit 451. For example, when the matching information includes a matching type, the determining method selecting unit 452 may select a relative lane determining method using the matching type. Here, when the matching type is position matching section, the determining method selecting unit 452 selects a relative lane determining method using absolute lanes in the map information because the absolute positions in the lane shape information and the map information are correct. Furthermore, when the matching type is shape matching section, the determining method selecting unit 452 selects a relative lane determining method using relative lanes in the map information because the relative positions in the lane shape information and the map information are correct. Furthermore, when the matching type is analogous matching section, the determining method selecting unit 452 may select a relative lane determining method similar to that of the position matching section as the matching type.
The determining method selecting unit 452 may select both of the first determining unit 453 and the second determining unit 454. Here, the determining method selecting unit 452 integrates results of the determination by the first determining unit 453 and the second determining unit 454.
[1-3. Operations of Matching Determining Unit 44]
Operations of the matching determining unit 44 will be described with reference to
[1-4. Operations of Relative Lane Determining Unit 45]
Operations of the relative lane determining unit 45 will be described with reference to
The relative lane determining unit 45 may include a determining method selection table for selecting a determining unit corresponding to a relative lane determining method to be executed from among a plurality of relative lane determining methods, select a determining unit based on the determining method selection table, and determine relative lanes of the subject moving object HV and the non-subject moving object RV.
The determining method selection table is a table indicating conditions for the relative lane determining unit 45 to determine a determining unit to be executed from among a plurality of determining units. The table includes matching conditions indicating whether matching sections of the subject moving object HV and the non-subject moving object RV are consecutive, various conditions related to the subject moving object HV and the non-subject moving object RV other than the matching conditions, and determining units uniquely selected base on the matching conditions and the various conditions.
The matching conditions in the determining method selection table may include the matching types or determination results other than the positive and negative results output by the consecutive section determining unit 451. The various conditions in the determining method selection table are conditions for determining which relative lane determining method is used from among a plurality of relative lane determining methods. Examples of the various conditions may include relative moving directions, distances, and speeds that are estimated from the latest trajectory points of the subject moving object HV and the non-subject moving object RV. Alternatively, a new indicator may be calculated using the map information or the trajectory information.
Suppose that, for example, a distance between the subject moving object HV and the non-subject moving object RV is 100 m in a state illustrated in
Suppose that, for example, a distance between the subject moving object HV and the non-subject moving object RV is 150 m in a state illustrated in
[1-5. Operations of Driving Assistance System]
In Step S1, the self position estimation device 1 generates the position information of the subject moving object HV, and provides the position information to the first trajectory information obtaining unit 41. The first trajectory information obtaining unit 41 generates the first trajectory information by holding time series of the position information of the subject moving object HV. In other words, the first trajectory information obtaining unit 41 obtains the first trajectory information.
In Step S2, the moving object communication device 2 obtains the position information from the non-subject moving object RV, and provides the position information to the second trajectory information obtaining unit 42. The second trajectory information obtaining unit 42 generates the second trajectory information by holding time series of the position information of the non-subject moving object RV. In other words, the second trajectory information obtaining unit 42 obtains the second trajectory information.
In Step S3, the map information distribution device 3 retrieves the map information around the subject moving object HV, and provides the map information to the map information obtaining unit 43. The map information obtaining unit 43 obtains the map information from the map information distribution device 3 to hold the map information.
In Step S4, the matching determining unit 44 estimates a matching section in which the map information obtained by the map information obtaining unit 43 and each of the first trajectory information obtained by the first trajectory information obtaining unit 41 and the second trajectory information obtained by the second trajectory information obtaining unit 42 match, and provides the estimation result to the relative lane determining unit 45.
In Step S5, the relative lane determining unit 45 determines whether a matching section to which the current position of the subject moving object HV belongs and a matching section to which the current position of the non-subject moving object RV belongs are consecutive. When the matching sections are consecutive, the process proceeds to Step S6. When the matching sections are not consecutive, the process proceeds to Step S7.
In Step S6, the relative lane determining unit 45 determines relative lanes of the non-subject moving object RV and the subject moving object HV using the first determining unit 453, and generates the determination result as the relative position information.
In Step S7, the relative lane determining unit 45 determines relative lanes of the non-subject moving object RV and the subject moving object HV using the second determining unit 454, and generates the determination result as the relative position information.
In Step S8, the driving assistance device 5 determines details of driving assistance based on the relative position information provided from the relative position determining apparatus 4, and provides the driving assistance to the subject moving object HV.
Steps S1, S2, and S3 in
[1-6. Advantages]
According to Embodiment 1, the matching determining unit 44 estimates a matching section in which the trajectory information of a moving object and the lane shape information match. The relative lane determining unit 45 determines whether the map information and the trajectory information are accurate by determining whether the matching sections to which the current positions of the two moving objects belong are consecutive, and selects a relative lane determining method corresponding to the determination result. Consequently, the relative position determining apparatus 4 can determine the relative positions of the two moving objects accurately more than the conventional devices, even when whether the position information of each of the moving objects and the map information are accurate is unknown.
Since the driving assistance device 5 provides driving assistance using the accurate relative position information obtained from the relative position determining apparatus 4, provision of wrong driving assistance caused by an error in the position information of each of the moving objects or the map information or situations where necessary driving assistance cannot be provided can be reduced.
The matching determining unit 44 associates a matching type to a matching section, and the relative lane determining unit 45 selects a relative lane determining method according to the matching type. Since the relative position determining apparatus 4 can distinguish how the map information and the trajectory information match, depending on cases, and select a relative lane determining method corresponding to each of the cases, the relative position determining apparatus 4 can determine the relative positions of the two moving objects accurately more than the conventional devices.
The relative lane determining unit 45 selects a determining unit to be executed from among a plurality of determining units. Since the relative position determining apparatus 4 need not determine an unnecessary relative lane, the processing load can be reduced.
The relative lane determining unit 45 selects a determining unit to be executed from among a plurality of determining units, using a determining method selection table. Consequently, the relative lane determining unit 45 can flexibly select a determining unit in consideration of, for example, a traveling state of each moving object and a relative relationship between two moving objects.
[2-1. Configuration of Driving Assistance System]
Embodiment 1 describes a case where the relative position determining apparatus 4 is mounted on the subject moving object HV. Embodiment 2 is characterized by mounting a relative position determining apparatus on a server device.
As illustrated in
The moving objects HVb and RVb are moving objects that move while traveling on roads, and may have the same configuration as that of, for example, the subject moving object HV or the non-subject moving object RV in Embodiment 1. Furthermore, the moving objects HVb and RVb regularly transmit the position information to the server device CS. Furthermore, the moving object HVb receives, from the server device CS, details of driving assistance determined by the server device CS, and provides the driving assistance to the driver according to the details. The number of the moving objects HVb and RVb may be two or more.
The server device CS includes: a moving object communication device 2b that communicates information with the moving objects HVb and RVb; a relative position determining apparatus 4b that determines relative positions of the two moving objects; a driving assistance determining device 8 that determines details of driving assistance; a position information management device 6 that holds and manages the position information of each of the moving objects HVb and RVb; and a map information management device 7 that holds and manages the map information.
The server device CS receives the position information transmitted from each of the moving objects HVb and RVb, determines relative positions of the moving objects HVb and RVb, and determines details of driving assistance to be provided to the driver of the moving object HVb, based on a result of the determination. The server device CS is similar to the calculator described in Embodiment 1. Examples of the server device CS may include a cloud server on the Internet, a multi-access edge computing (MEC) server on a core network such as a mobile network, and a roadside processing device installed on a roadside of a road.
The moving object communication device 2b communicates information with the moving objects HVb and RVb to receive the position information from each of the moving objects HVb and RVb, and notifies the moving object HVb of the details of driving assistance. The communication method to be performed by the moving object communication device 2b may be, for example, the one performed by the moving object communication device 2 described in Embodiment 1.
The relative position determining apparatus 4b is a device that determines relative positions of two moving objects.
The driving assistance determining device 8 determines a moving object to which driving assistance is provided, and details of the driving assistance to be provided to the driver, based on the relative position information determined by the relative position determining apparatus 4b. The method for determining the details of the driving assistance by the driving assistance determining device 8 may be, for example, the one performed by the driving assistance device 5 described in Embodiment 1.
The position information management device 6 is a database in which the position information on the moving object received by the moving object communication device 2b is held and which provides the relative position determining apparatus 4b with the trajectory information that is time series of the position information.
The map information management device 7 is a database that provides the relative position determining apparatus 4b with the map information to be used for determining a relative position relationship between two moving objects.
The position information management device 6 and the map information management device 7 may be installed in, for example, the server device CS and embodied as storage that stores information of each of the devices, or placed outside the server device CS and embodied as another server device connected through a network.
[2-2. Configuration of Relative Position Determining Apparatus 4b]
The relative position determining apparatus 4b includes: a first trajectory information obtaining unit 41b that obtains first trajectory information that is trajectory information on the moving object HVb that is the first moving object; a second trajectory information obtaining unit 42b that obtains second trajectory information that is trajectory information on the moving object RVb that is the second moving object; a map information obtaining unit 43b that obtains the map information including the lane shape information indicating a shape of each lane; a matching determining unit 44b that determines whether each of the first trajectory information and the second trajectory information matches the lane shape information; and a relative lane determining unit 45b that determines relative lanes of the moving objects HVb and RVb based on a result of the determination by the matching determining unit 44b. The relative position determining apparatus 4b further includes a matching information storage 46 in which the matching information generated by the matching determining unit 44b is stored.
The first trajectory information obtaining unit 41b obtains, from the position information management device 6, the first trajectory information that is the trajectory information on the moving object HVb. A method for obtaining the first trajectory information by the first trajectory information obtaining unit 41b may be the same as, for example, that for obtaining the first trajectory information by the first trajectory information obtaining unit 41 which is described in Embodiment 1. The first trajectory information obtaining unit 41b may operate with the timing of obtaining the position information by the moving object communication device 2b from the moving object HVb.
The second trajectory information obtaining unit 42b obtains, from the position information management device 6, the second trajectory information that is the trajectory information on the moving object RVb. A method for obtaining the second trajectory information by the second trajectory information obtaining unit 42b may be the same as, for example, that for obtaining the second trajectory information by the second trajectory information obtaining unit 42 which is described in Embodiment 1. The second trajectory information obtaining unit 42b may retrieve, as the second moving object, a moving object located within a certain range with respect to the position of the moving object HVb based on the position information of the first trajectory information obtaining unit 41b, and obtain the trajectory information of the second moving object.
The map information obtaining unit 43b obtains the map information around the moving objects HVb and RVb from the map information management device 7. A method for obtaining the map information by the map information obtaining unit 43b may be, for example, obtaining the map information within a certain range with respect to the position of the moving object HVb, or the same as that for obtaining the map information by the map information obtaining unit 43 which is described in Embodiment 1.
The matching determining unit 44b determines a matching section in which the map information and the trajectory information match, and generates the determination result as the matching information. The processes performed by the matching determining unit 44b may be the same as those of the matching determining unit 44 described in Embodiment 1.
The relative lane determining unit 45b determines the relative lanes of two moving objects based on the matching information of each of the two moving objects. The processes performed by the relative lane determining unit 45b may be the same as those of the relative lane determining unit 45 described in Embodiment 1.
The matching information storage 46 is a database in which at least one piece of matching information that is a result of determination by the matching determining unit 44b is stored.
The matching determining unit 44b determines whether a section in the map information is accurate, based on the past matching information stored in the matching information storage 46, and estimates, as a mismatch section, a section in which the map information is accurate but the trajectory information and the lane shape information do not match. Then, the matching determining unit 44b outputs mismatch information when estimating the section as a mismatch section.
The determining method performed by the matching determining unit 44b includes, for example, first retrieving matching information around a moving object that is a determination target, from the matching information storage 46 based on the position information of the moving object. Next, the matching determining unit 44b determines, based on the retrieved matching information, that a section in the map information which has been determined as a matching section a plurality of times (e.g., more than three times) is accurate. Next, the matching determining unit 44b determines whether the lane shape information and the trajectory information match. When the lane shape information and the trajectory information do not match in the section in which the map information is accurate, the matching determining unit 44b determines that the trajectory information in the section has an error, and outputs the result as mismatch information.
The mismatch information is information including a mismatch section indicating a section in which the lane shape information and the trajectory information do not match. The mismatch section is information indicating a section in which the lane shape information and the trajectory information do not match in a section in which the map information is accurate, and is information including a start point and an end point of the mismatch section. The representation methods of the mismatch section may be, for example, those on the matching section described in Embodiment 1.
The relative lane determining unit 45b may determine relative lanes of two moving objects by correcting the trajectory information of the moving objects included in the mismatch section, using the lane shape information based on the mismatch information. Examples of the correction method performed by the relative lane determining unit 45b may include matching the trajectory information with the lane shape information through translating the trajectory information when the entirety of the trajectory information is included in a mismatch section, and replacing the trajectory information in the mismatch section with the lane shape information when a part of the trajectory information is included in the mismatch section.
The matching determining unit 44b may perform matching again on the trajectory information corrected by the relative lane determining unit 45b, and the consecutive section determining unit 451 may use the corrected section as a matching section for determining whether sections are consecutive.
[2-3. Advantages]
The past matching information is stored in the matching information storage 46 according to Embodiment 2. The matching determining unit 44b determines whether a section in the map information is accurate, based on the past matching information. When the map information is accurate but the trajectory information and the lane shape information do not match in the section, the matching determining unit 44b determines that the trajectory information has an error. When the matching determining unit 44b determines that the trajectory information has an error, the relative lane determining unit 45b corrects the trajectory information using the map information. Since the relative position determining apparatus 4b detects an error in the trajectory information and corrects the error, the relative position determining apparatus 4b can determine correct relative positions.
The constituent elements of each of the relative position determining apparatus 4 described in Embodiment 1 and the relative position determining apparatus 4b described in Embodiment 2 may be implemented as calculation processes of the relative position determining method, and relative positions may be estimated by performing the calculation processes.
The constituent elements of each of the relative position determining apparatus 4 described in Embodiment 1 and the relative position determining apparatus 4b described in Embodiment 2 may be represented by a program to be executed by a calculator, and implemented by causing the calculator (a computer) to execute the program.
The configuration of each of the devices in
Embodiments of the present invention can be free combined, and appropriately modified and omitted within the scope of the invention.
While the present invention is described in detail above, the foregoing description is in all aspects illustrative and does not restrict the invention. It is understood that numerous modifications that have not yet been exemplified can be devised without departing from the scope of the invention.
| Filing Document | Filing Date | Country | Kind |
|---|---|---|---|
| PCT/JP2019/024281 | 6/19/2019 | WO |
| Publishing Document | Publishing Date | Country | Kind |
|---|---|---|---|
| WO2020/255296 | 12/24/2020 | WO | A |
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