WO2017017967A1 - 検出装置、撮像装置、車両および検出方法 - Google Patents
検出装置、撮像装置、車両および検出方法 Download PDFInfo
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- WO2017017967A1 WO2017017967A1 PCT/JP2016/003529 JP2016003529W WO2017017967A1 WO 2017017967 A1 WO2017017967 A1 WO 2017017967A1 JP 2016003529 W JP2016003529 W JP 2016003529W WO 2017017967 A1 WO2017017967 A1 WO 2017017967A1
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- road
- parking
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- imaging device
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- 238000001514 detection method Methods 0.000 title claims abstract description 41
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Images
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- G06V20/56—Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
- G06V20/588—Recognition of the road, e.g. of lane markings; Recognition of the vehicle driving pattern in relation to the road
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- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
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- B60R1/20—Real-time viewing arrangements for drivers or passengers using optical image capturing systems, e.g. cameras or video systems specially adapted for use in or on vehicles
- B60R1/22—Real-time viewing arrangements for drivers or passengers using optical image capturing systems, e.g. cameras or video systems specially adapted for use in or on vehicles for viewing an area outside the vehicle, e.g. the exterior of the vehicle
- B60R1/23—Real-time viewing arrangements for drivers or passengers using optical image capturing systems, e.g. cameras or video systems specially adapted for use in or on vehicles for viewing an area outside the vehicle, e.g. the exterior of the vehicle with a predetermined field of view
- B60R1/25—Real-time viewing arrangements for drivers or passengers using optical image capturing systems, e.g. cameras or video systems specially adapted for use in or on vehicles for viewing an area outside the vehicle, e.g. the exterior of the vehicle with a predetermined field of view to the sides of the vehicle
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- B—PERFORMING OPERATIONS; TRANSPORTING
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Definitions
- the present invention relates to a detection device, an imaging device, a vehicle, and a detection method.
- Patent Document 1 a technique for detecting a space in which parking is possible from distance data obtained from a captured image of an in-vehicle camera.
- Patent Document 1 a technique for detecting a space in which parking is possible from distance data obtained from a captured image of an in-vehicle camera.
- the detection device includes an image acquisition unit and a control unit.
- the image acquisition unit acquires a captured image from an imaging device that is installed in the vehicle and images the periphery of the vehicle.
- the control unit calculates a distance from the imaging device to a road end in the width direction of the road on which the vehicle travels or an obstacle on the road based on the captured image.
- the control unit determines whether or not the vehicle can travel on the road after the vehicle is parked on the road based on the calculated distance and information on the outer dimensions of the vehicle.
- an imaging apparatus includes an imaging element and a control unit.
- the imaging element is installed in a vehicle and generates a captured image around the vehicle.
- the control unit calculates a distance from the image sensor to a road end in the width direction of the road on which the vehicle travels or an obstacle on the road based on the captured image.
- the control unit determines whether or not the vehicle can travel on the road after the vehicle is parked on the road based on the calculated distance and information on the outer dimensions of the vehicle.
- the vehicle according to an embodiment of the present invention is a vehicle in which an imaging device is installed, and the imaging device includes an image acquisition unit and a control unit.
- the image acquisition unit acquires a captured image from an imaging device that is installed in the vehicle and images the periphery of the vehicle.
- the control unit calculates a distance from the imaging device to a road end in the width direction of the road on which the vehicle travels or an obstacle on the road based on the captured image.
- the control unit determines whether or not the vehicle can travel on the road after the vehicle is parked on the road based on the calculated distance and information on the outer dimensions of the vehicle.
- the detection method in the detection device includes a step of acquiring a captured image from an imaging device that is installed in a vehicle and images the periphery of the vehicle.
- the detection method in the detection device may also be based on the captured image, the distance from the imaging device to a road edge in the width direction of the road on which the vehicle travels or an obstacle on the road.
- the step of calculating is provided.
- the detection method in the detection device may further include the road by the other vehicle after the vehicle is parked on the road based on the calculated distance and information on the outer dimension of the vehicle.
- FIG. 1 is a functional block diagram of a detection system having a detection device according to an embodiment of the present invention. It is a figure which illustrates the vehicle on the road when the parking space search process is started, and its surrounding environment. It is a figure which illustrates the vehicle on the road in the parking space candidate recognition process, and its surrounding environment. It is a figure which shows the 1st example of the positional relationship of the parking space on the road and the vehicle in search of parking space. It is a figure which shows the 2nd example of the positional relationship of the parking space on the road and the vehicle in search of parking space. It is a figure which shows the 3rd example of the positional relationship of the parking space on the road and the vehicle in search of parking space.
- the detection device includes an image acquisition unit and a control unit.
- the control unit detects a road end of the road on which the vehicle travels or an obstacle on the road based on the captured image acquired by the image acquisition unit, and calculates a distance to the detected road end or the obstacle. .
- the control unit determines whether or not the vehicle can travel on the road after the vehicle is parked on the road based on the calculated distance and information on the outer dimensions of the vehicle. For this reason, it is possible to determine whether or not the own vehicle can be parked in a parking space or the like where there is no parking lot line, after taking into account the size of the own vehicle and determining whether or not there is room for another vehicle to travel.
- FIG. 1 is a simplified diagram showing a vehicle 10 traveling on a road.
- the vehicle 10 travels in the direction of arrow D.
- At least the first imaging device 1, the second imaging device 2, the detection device 4, and the display device 7 are installed in the vehicle 10.
- the “vehicle” in the present embodiment includes an automobile, an industrial vehicle, and a living vehicle.
- the automobile includes, but is not limited to, a passenger car, a truck, a bus, a two-wheeled vehicle, a trolley bus, and the like, and may include other vehicles that travel on the road.
- Industrial vehicles include industrial vehicles for agriculture and construction.
- Industrial vehicles include but are not limited to forklifts and golf carts.
- Industrial vehicles for agriculture include, but are not limited to, tractors, tillers, transplanters, binders, combines, and lawn mowers.
- Industrial vehicles for construction include, but are not limited to, bulldozers, scrapers, excavators, cranes, dump trucks, and road rollers.
- Living vehicles include, but are not limited to, bicycles, wheelchairs, baby carriages, wheelbarrows, and electric two-wheelers.
- Vehicle power engines include, but are not limited to, internal combustion engines including diesel engines, gasoline engines, and hydrogen engines, and electrical engines including motors. Vehicles include those that travel by human power.
- the vehicle classification is not limited to the above. For example, an automobile may include an industrial vehicle capable of traveling on a road, and the same vehicle may be included in a plurality of classifications.
- the first imaging device 1 and the second imaging device 2 are side cameras with an image sensing function.
- a side camera is preferably a CCD (Charge Coupled Device) or a CMOS (Complementary Metal Oxide Semiconductor) camera, for example.
- the first image pickup device 1 and the second image pickup device 2 are fixed at the same height position with the optical axis oriented in the horizontal direction or slightly downward from the horizontal, and can image various subjects such as road edges and obstacles. .
- the first imaging device 1 is installed on the left side when viewed in a direction along the traveling direction of the vehicle 10 and images a subject in a region R1 on the left side of the vehicle 10.
- the second imaging device 2 is installed on the right side when viewed in a direction along the traveling direction of the vehicle 10 and images a subject in the region R2 on the right side of the vehicle 10.
- the 1st imaging device 1 and the 2nd imaging device 2 are installed in a side mirror, for example.
- the first imaging device 1 and the second imaging device 2 image the left and right subjects of the vehicle 10, respectively.
- the first imaging device 1 may capture both the left and right subjects of the vehicle 10 with a rear camera provided at the rear of the vehicle 10.
- a rear camera has, for example, a fisheye lens.
- the control unit 42 can execute processing described later in the present embodiment based on the captured image acquired from the first imaging device 1 without acquiring the captured image from the second imaging device 2.
- the detection system 90 includes a first imaging device 1, a second imaging device 2, a network bus 3, a detection device 4, dedicated lines 5 a to 5 c, an ECU (Electronic Control Unit) 6, and a display device 7.
- the first imaging device 1 includes an optical system 11, an imaging device 12, an image processing unit 13, and a communication unit 14.
- the optical system 11 includes a diaphragm and a plurality of lenses, and forms a subject image.
- the optical system 11 has a wide angle of view, and can form subject images (road edges, obstacles, etc.) in the peripheral area of the vehicle 10.
- the image pickup device 12 is a CMOS image pickup device installed in the vehicle 10, for example, and picks up a subject image formed by the optical system 11 to generate a picked-up image around the vehicle 10.
- the image pickup device 12 can generate a picked-up image taken at a wide angle.
- the image processing unit 13 performs CDS (Correlated Double Sampling), gain adjustment (AGC: Automatic Gain Control), and A / D conversion (ADC: Analog-to-Digital) on the analog captured image generated by the image sensor 12. Arbitrary image processing such as Converter) is performed.
- the image processing unit 13 may perform normal image processing such as exposure adjustment processing, image processing according to the activated function, and the like by a processor dedicated to image processing such as a DSP.
- the communication unit 14 is an interface that outputs an image processed by the image processing unit 13 to the detection device 4 or the like via the network bus 3.
- the second imaging device 2 includes an optical system 21, an imaging element 22, an image processing unit 23, and a communication unit 24. Since the functional block diagram of the second imaging device 2 is the same as the functional block diagram of the first imaging device 1, description thereof is omitted.
- the network bus 3 is a physical signal line conforming to a communication standard such as CAN (Controller Area Network) or Ethernet.
- the detection device 4 includes an image acquisition unit 41, a control unit 42, a storage unit 43, and an output unit 44.
- the image acquisition unit 41 is an interface that acquires a captured image from an imaging device (at least one of the first imaging device 1 and the second imaging device 2) that is installed in the vehicle 10 and images the periphery of the vehicle 10. Further, the image acquisition unit 41 acquires control information of the vehicle 10 from the network bus 3.
- the control information of the vehicle 10 includes, for example, information indicating the traveling direction (forward or reverse) of the vehicle 10, the speed, the steering angle of the steered wheels, the door opening / closing state, and the presence / absence of a door opening / closing instruction.
- the present invention is not limited to this, and various information related to the vehicle 10 can be included.
- the control information of the vehicle 10 is used by the control unit 42 to detect various states of the vehicle 10.
- the control unit 42 is, for example, a dedicated microprocessor or a general-purpose CPU (Control Processing Unit) that executes a specific process by reading a specific program.
- the control unit 42 controls the operation of the entire detection device 4.
- the control unit 42 can recognize a vehicle, a pedestrian, a white line, a road edge, an obstacle, and the like from the captured images acquired from the first imaging device 1 and the second imaging device 2.
- the control unit 42 can measure the distance to the recognized subject by a motion stereo method or the like.
- the control unit 42 can determine the parking space based on the distance measurement information and the recognition result information. Details will be described later.
- the control unit 42 is provided in the detection device 4 outside the first imaging device 1.
- one of the first imaging device 1 and the second imaging device 2 may be a master and the other may be a slave, and the control unit 42 may be provided inside the master.
- a parking space search process (to be described later) can be performed through communication between the master and the slave, and a parking area can be detected.
- the storage unit 43 is a memory, for example, and stores various information and programs necessary for the operation of the detection device 4.
- the output unit 44 outputs the determination result by the control unit 42 to the network bus 3.
- the dedicated line 5a is a physical video signal line between the first imaging device 1 and an ECU 6 described later.
- a video signal compliant with the NTSC (National Television System Committee) system is transmitted and received.
- video signals conforming to the NTSC system are transmitted and received on dedicated lines 5b and 5c described later.
- the dedicated line 5b is a video signal line between the second imaging device 2 and an ECU 6 described later.
- the dedicated line 5 c is a video signal line between the ECU 6 and the display device 7.
- the ECU 6 performs arbitrary video composition processing such as switching (SW) processing and image segmentation on the images or videos from the first imaging device 1 and the second imaging device 2.
- SW switching
- the display device 7 displays an image acquired from the detection device 4 or the ECU 6. For this reason, the driver of the vehicle 10 can visually recognize the image.
- the display device 7 can accept a user's switching (SW) operation by a button or a touch panel.
- SW user's switching
- parking is described as indicating parking according to the first parking mode.
- Parking according to the first parking mode is parking before or after an obstacle on the road (other vehicle parked).
- the parking space search process includes a parking space candidate recognition process, a passing space recognition process, and a road display recognition process.
- the parking space candidate recognition process is to determine whether or not there is a space wider than the vehicle width as the outer dimension of the vehicle 10.
- the total length in the traveling direction determined according to the vehicle 10 is TL, and the vehicle width is Sh.
- FIG. 3 shows the vehicle on the road and its surrounding environment when the parking space search process is started.
- control unit 42 When the control unit 42 acquires the captured image of the left side of the vehicle 10 from the first imaging device 1 via the image acquisition unit 41, the control unit 42 performs road edge recognition processing and obstacle recognition processing. Based on the captured image, the control unit 42 detects a road edge E in the width direction on the left side of the road on which the vehicle 10 travels or an obstacle O2 (other vehicle parked and stopped) on the road. For example, the control unit 42 recognizes a subject whose height is recognized as 15 cm or more as an obstacle, and recognizes a subject whose height is recognized as less than 15 cm as a road edge.
- the control unit 42 determines that there is a road edge in the road edge recognition process
- the control unit 42 calculates a left-side distance XL (m) from the first imaging device 1 to the road edge E.
- the controller 42 determines that there is an obstacle in the obstacle recognition process
- the controller 42 calculates a front-rear distance YL (m) of the obstacle O2 based on, for example, the speed of the vehicle 10 and a change in the image.
- the front-rear distance YL is a distance from the obstacle O2 to another obstacle O3 in front of or behind the obstacle O2 (another vehicle parked and stopped).
- the control unit 42 repeats the parking space candidate recognition process until it determines that there is a parking space. At this time, the vehicle 10 may travel at a low speed.
- FIG. 4 shows a state when the control unit 42 determines that a parking space exists.
- the passing space recognition process is for determining whether or not there is a depth through which another vehicle passes on the opposite side of the parking space candidate.
- the control unit 42 acquires the right-side captured image of the vehicle 10 from the second imaging device 2, the control unit 42 performs road edge recognition processing and obstacle recognition processing using the captured image.
- the control unit 42 determines whether or not there is a road edge in the width direction. If there is a road edge, the control unit 42 determines the distance from the second imaging device 2 to the road edge E as the right distance. Calculated as ZR (m).
- ZR the distance from the second imaging device 2 to the obstacle as the right distance ZR.
- the control unit 42 sets the right distance ZR to a predetermined value sufficiently larger than the necessary road width described later.
- the control unit 42 determines whether the value obtained by adding the left distance XL calculated in the parking space candidate recognition process, the right distance ZR calculated in the passing space recognition process, and the vehicle width Sh is equal to or greater than a predetermined necessary road width. judge.
- the necessary road width is a road width necessary to secure a passing space through which another vehicle passes when the host vehicle is parked.
- the required road width is set to 8.2 m as an example.
- the required road width of 8.2 m includes a space of 0.8 m from the road edge E to the vehicle 10, a vehicle width of the vehicle 10 of 2.7 m (in the case of a private vehicle), a vehicle width of other vehicles of 2.7 m, etc.
- the control unit 42 determines whether or not the following inequality (1) (for parking in the first parking mode) is established.
- XL 4.5 (m)
- ZR 1.0 (m)
- vehicle width Sh 2.7 (m)
- FIG. 5 An example of the positional relationship is shown in FIG.
- the shaded area is a parking space candidate.
- the obstacle is not shown for the sake of simplicity.
- XL + ZR + Sh 8.2
- the control unit 42 determines that parking is possible because the inequality (1) is established.
- XL + ZR + Sh 8.2
- the control unit 42 determines that parking is possible because the inequality (for parking in the first parking mode) is established.
- parking refers to parking according to the first parking mode, but parking according to the first parking mode in other embodiments is parallel parking in which parking is performed between a plurality of other vehicles parked in a row. It may be.
- parking may refer to parking according to the second parking mode.
- the parking according to the second parking mode is parking to the left or right of an obstacle (other vehicle parked) on the road, that is, parallel parking.
- Whether the parking according to the first parking mode or the parking according to the second parking mode is performed may be determined by the control unit 42 according to the input from the user, or the control unit 42 may determine whether the parking according to the first parking mode or the first parking mode. It may be determined whether or not each of the two parking modes is possible.
- control part 42 determines the parking aspect (parking by the 1st parking aspect or the parking by the 2nd parking aspect) of the other vehicle which has already parked around, and the vehicle 10 can be parked in the same aspect as it. It may be determined. Moreover, the control part 42 may determine preferentially whether the parking by the 1st parking mode is possible, and determines whether it is the parking by the 1st parking mode or the parking by the 2nd parking mode by the value of XL + ZR + Sh. Also good.
- the necessary road width for parking in the second parking mode is 10.2 m as an example.
- the required road width of 10.2 m is a value obtained by adding the total length of the vehicle 10 in the traveling direction of 5.5 m, the vehicle width of the other vehicle of 2.7 m, and the left and right margins of the other vehicle of 2 m. However, these values can be changed and set as necessary.
- the control unit 42 determines whether or not the following inequality (2) (for parking according to the second parking mode) is established instead of the inequality (1).
- FIG. 8 illustrates a state where the parking area is detected while the vehicle 10 is traveling, the vehicle 10 is facing the traveling direction (the left-right direction in the drawing).
- the vehicle 10 parks in the second parking mode, the vehicle 10 is parked in the direction crossing the road (up and down direction in the drawing).
- the control unit 42 can perform the parking space candidate recognition process and the passing space recognition process even when the vehicle 10 is traveling obliquely (not parallel) with respect to the road edge E.
- FIG. 9 shows an example of the positional relationship between the parking space on the road and the vehicle 10 that is searching for the parking space.
- control unit 42 determines the direction component perpendicular to the road edge of the distance from the first imaging device 1 or the second imaging device 2 that is the starting point of the distance measurement of the vehicle 10 to the road edge or the obstacle, as the road edge or Calculated as the distance to the obstacle.
- the right side of the inequality (3) may be 10.2.
- ⁇ is the optical axis of the first imaging device 1 intersecting the road edge or obstacle on the left side of the vehicle 10 from the starting point of the distance measurement by the first imaging device 1 of the vehicle 10 when viewed from the vertical direction. It is the distance to do.
- ⁇ is a distance from the starting point of the distance measurement by the second imaging device 2 of the vehicle 10 when viewed from the vertical direction until the optical axis of the second imaging device 2 intersects the road edge or obstacle on the right side of the vehicle 10. Is the distance.
- the process returns to the passing space recognition process when the vehicle 10 is traveling parallel to the road edge E.
- An example of the vehicle 10 on the road and its surrounding environment during the passing space recognition process at this time is shown in FIG. In FIG. 10, since the obstacle O1 exists on the right side of the vehicle 10, the right side distance ZR required to satisfy the inequality (1) cannot be obtained. Therefore, the vehicle 10 continues the passing space recognition process while traveling.
- FIG. 11 shows the vehicle and its surrounding environment after completion of the passing space recognition process at this time.
- the control unit 42 When the control unit 42 finishes the passing space recognition process, it performs a road display recognition process.
- the road display recognition process recognizes the road display drawn on the road and the road signs installed on the road, and determines whether or not the final parking space may be determined.
- the control unit 42 determines that parking is impossible when the parking prohibition mark or the disabled person mark is recognized from the image captured by the first imaging device 1, for example.
- the control unit 42 also determines that parking is impossible when it is determined from the images captured by the first imaging device 1 and the second imaging device 2 that the vehicle 10 is within 5 m from the intersection.
- the vehicle 10 is parked on the left side in the traveling direction.
- the control unit 42 performs the passing space recognition process based on the captured image from the first imaging device 1 and performs the parking space candidate recognition process based on the captured image from the second imaging device 2 to the right in the traveling direction. It may be determined whether or not parking is possible.
- FIG. 13 is a flowchart showing the operation of the control unit 42 of the detection device 4. Hereinafter, the operation of the control unit 42 will be described with reference to FIG.
- step S101 the control unit 42 determines whether or not the automatic parking function is activated.
- Searchflag is a flag indicating a parking space candidate recognition processing state.
- the control unit 42 repeats step S101.
- step S104 the control unit 42 performs a parking space candidate recognition process in step S104. Step S104 will be described in detail with reference to FIG.
- Pflag is a flag indicating that there is a parking space candidate as described above.
- step S105 the control unit 42 performs a passing space recognition process in step S106.
- Step S106 will be described in detail with reference to FIG.
- step S107 the control unit 42 performs road display recognition processing. Step S107 will be described in detail with reference to FIG.
- step S110 the control unit 42 notifies other control devices of the vehicle 10 that automatic parking is possible via the network bus 3.
- step S110 or step S111 the control unit 42 executes step S103.
- FIG. 14 is a diagram showing a subroutine of step S104 (parking space candidate recognition process). Below, the parking space candidate recognition process of FIG. 14 is demonstrated.
- step S ⁇ b> 11 the control unit 42 acquires a captured image from the first imaging device 1.
- step S12 and step S13 the control unit 42 performs road edge recognition processing and obstacle recognition processing using the captured image.
- step S14 the control unit 42 determines whether or not the road edge has been recognized.
- step S15 the control unit 42 calculates the left distance to the road edge and sets it to XL.
- step S16 the control unit 42 determines whether an obstacle has been recognized in the obstacle recognition process.
- Step S16 When the result in Step S16 is Yes, the control unit 42 calculates the front-rear distance YL of the obstacle in Step S17.
- step S18 the control unit 42 sets the longitudinal distance YL to a predetermined value that is sufficiently larger than the total length TL in the traveling direction of the vehicle 10.
- step S19 the control unit 42 determines whether the longitudinal distance YL is equal to or greater than the total length TL in the traveling direction of the vehicle 10.
- FIG. 15 is a diagram showing a subroutine of step S106 (passing space recognition processing).
- step S31 the control unit 42 acquires a captured image from the second imaging device 2.
- step S32 and step S33 the control unit 42 performs road edge recognition processing and obstacle recognition processing using the captured image.
- step S34 the control unit 42 determines whether or not the obstacle is recognized in the obstacle recognition process.
- step S35 the control unit 42 calculates the right distance ZR to the obstacle.
- step S36 the control unit 42 determines whether or not the road edge has been recognized in the road edge recognition process.
- Yes in step S36 the control unit 42 calculates the distance to the road edge in step S37.
- step S38 the control unit 42 sets the distance as the right distance ZR.
- step S39 the control unit 42 sets the right distance ZR to a predetermined value that is sufficiently larger than the required road width (for example, the maximum value of the distance that can be imaged).
- step S40 determines in step S40 whether or not an equation (1), that is, an inequality of ZR + XL + Sh (vehicle width) ⁇ 8.2 holds.
- Formula (1) shows the conditions for parking by the 1st parking mode, and when performing parking by the 2nd parking mode, Formula (2) which sets the right side of the said formula to 10.2. It is determined whether or not the inequality is established.
- the control unit 42 may determine whether or not both the parking according to the first parking mode and the parking according to the second parking mode are possible, or may determine whether one is possible.
- FIG. 16 is a diagram showing a subroutine of step S107 (road display recognition processing).
- the control unit 42 causes the vehicle 10 to travel from the first imaging device 1 or the second imaging device 2 based on the captured images acquired from the first imaging device 1 and the second imaging device 2. Calculate the distance to the road edge or obstacle on the road. Furthermore, the control unit 42 determines whether or not the other vehicle can travel on the road after the vehicle 10 is parked on the road, based on the calculated distance and information on the outer dimensions of the vehicle 10. For this reason, it is possible to determine whether or not the own vehicle can be parked in a parking space or the like where there is no parking lot line, after taking into account the size of the own vehicle and determining whether or not there is room for another vehicle to travel. Accordingly, it is possible to detect an appropriate parking position that does not cause trouble to other vehicles. Further, automatic parking can be realized at a low cost without necessarily increasing the number of in-vehicle devices.
- control unit 42 performs parking according to the first parking mode or parking according to the second parking mode, respectively, from the vehicle width Sh or the total length TL in the traveling direction as information on the outer dimensions of the vehicle 10. Whether or not the other vehicle can travel is determined. For this reason, whether or not the other vehicle can travel can be accurately determined according to whether the parking is performed according to the first parking mode or the second parking mode.
- control unit 42 uses the direction component perpendicular to the road edge of the distance from the first imaging device 1 or the second imaging device 2 to the road edge or the obstacle, so that the vehicle 10 is a road. It is determined whether or not the other vehicle can travel on the road after parking. For this reason, the width of the road can be accurately calculated even when the vehicle 10 is running with a deviation from the road edge (in a non-parallel state).
- control unit 42 of the detection device 4 can be configured by a computer.
- a program in which processing contents for realizing each function are described is stored in an internal or external storage unit of the computer, and the program is read and executed by a central processing unit (CPU) of the computer.
- the unit 42 can be realized.
- Such a program can be distributed by selling, transferring, or lending a portable recording medium such as a DVD (Digital Versatile Disc) or a CD-ROM (Compact Disc-Read Only Memory). Further, such a program can be distributed by storing it in a storage unit of a server on a network, for example, and transferring the program from the server to another computer via the network.
- a computer that executes such a program can temporarily store, for example, a program recorded on a portable recording medium or a program transferred from a server in its own storage unit.
- a computer may read the program directly from a portable recording medium and execute processing according to the program. Further, each time a program is transferred from the server to the computer, processing according to the received program may be executed sequentially.
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Abstract
Description
制御部42は、車両10の運転手等によって自動駐車機能が起動され第1撮像装置1および第2撮像装置2が起動されたと判定したとき、駐車スペース探索処理を開始する。駐車スペース探索処理は、駐車スペース候補認識処理、通過スペース認識処理および道路表示認識処理を含む。駐車スペース候補認識処理は、車両10の外形寸法としての車幅よりも広いスペースがあるか否かを判定するものである。以下の説明において、車両10に応じて決定される走行方向の全長をTL、車幅をShとする。駐車スペース探索処理を開始したときの道路上の車両およびその周辺環境を図3に示す。
制御部42は第2撮像装置2から車両10の右方の撮像画像を取得すると、撮像画像を用いて道路端認識処理および障害物認識処理を行う。幅方向に障害物がないと判定したとき制御部42は幅方向に道路端があるか否かを判定し、道路端があるときは第2撮像装置2から道路端Eまでの距離を右側距離ZR(m)として算出する。一方障害物が存在すると判定したとき、制御部42は第2撮像装置2から当該障害物までの距離を右側距離ZRとして算出する。道路端がないとき制御部42は右側距離ZRを後述する必要道路幅よりも十分大きい所定値とする。
XL+ZR+Sh≧8.2 (1)
XL+ZR+Sh≧10.2 (2)
第2駐車態様による駐車を行う場合には、上記不等式(3)の右辺を10.2にすればよい。ここで、αは、鉛直方向から見たときの、車両10の第1撮像装置1による測距の起点から、第1撮像装置1の光軸が車両10の左側の道路端または障害物に交差するまでの距離である。またβは、鉛直方向から見たときの、車両10の第2撮像装置2による測距の起点から、第2撮像装置2の光軸が車両10の右側の道路端または障害物に交差するまでの距離である。
制御部42は通過スペース認識処理を終了すると、道路表示認識処理を行う。道路表示認識処理は、道路に描かれている道路表示および道路に設置されている道路標識等を認識し、最終的な駐車スペースとして確定してよいか否かを判定するものである。
11 光学系
12 撮像素子
13 画像処理部
14 通信部
2 第2撮像装置
21 光学系
22 撮像素子
23 画像処理部
24 通信部
3 ネットワークバス
4 検出装置
41 画像取得部
42 制御部
43 記憶部
44 出力部
5a 専用線
5b 専用線
5c 専用線
6 ECU
7 表示装置
10 車両
90 検出システム
E 道路端
O1、O2、O3 障害物
Claims (7)
- 車両に設置されて当該車両の周辺を撮像する撮像装置から撮像画像を取得する画像取得部と、
前記撮像画像に基づいて、前記撮像装置から前記車両が走行する道路の幅方向の道路端または当該道路上の障害物までの距離を算出し、前記算出された距離と前記車両の外形寸法の情報とに基づいて、前記車両が前記道路に駐車した後の他車両による前記道路の走行可否を判定する制御部と、
を備える検出装置。 - 請求項1に記載の検出装置において、
前記制御部は、前記車両の外形寸法としての車幅または走行方向の全長に基づいて、それぞれ第1駐車態様による駐車または第2駐車態様による駐車を行ったときの前記他車両の走行の可否を判定する、検出装置。 - 請求項2に記載の検出装置において、
前記第1駐車態様による駐車は、前記道路上の障害物の前または後への駐車を含み、前記第2駐車態様による駐車は、前記道路上の障害物の左または右への駐車を含む、検出装置。 - 請求項1乃至3のいずれか一項に記載の検出装置において、
前記制御部は、前記撮像装置から前記道路端または前記障害物までの前記距離の前記道路端に垂直な方向成分を用いて、前記車両が前記道路に駐車した後の前記他車両による前記道路の走行可否を判定する、検出装置。 - 車両に設置されて当該車両の周辺の撮像画像を生成する撮像素子と、
前記撮像画像に基づいて、前記撮像素子から前記車両が走行する道路の幅方向の道路端または当該道路上の障害物までの距離を算出し、前記算出された距離と前記車両の外形寸法の情報とに基づいて、前記車両が前記道路に駐車した後の他車両による前記道路の走行可否を判定する制御部と、
を備える撮像装置。 - 撮像装置が設置された車両であって、
前記撮像装置は、
車両に設置されて当該車両の周辺を撮像する撮像装置から撮像画像を取得する画像取得部と、
前記撮像画像に基づいて、前記撮像装置から前記車両が走行する道路の幅方向の道路端または当該道路上の障害物までの距離を算出し、前記算出された距離と前記車両の外形寸法の情報とに基づいて、前記車両が前記道路に駐車した後の他車両による前記道路の走行可否を判定する制御部と、
を備える。 - 車両に設置されて当該車両の周辺を撮像する撮像装置から撮像画像を取得するステップと、
前記撮像画像に基づいて、前記撮像装置から前記車両が走行する道路の幅方向の道路端または当該道路上の障害物までの距離を算出するステップと、
前記算出された距離と前記車両の外形寸法の情報とに基づいて、前記車両が前記道路に駐車した後の他車両による前記道路の走行可否を判定するステップと、
を備える、検出装置における検出方法。
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Families Citing this family (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108431632A (zh) * | 2015-12-21 | 2018-08-21 | 株式会社小糸制作所 | 车辆用传感器及具有该车辆用传感器的车辆 |
KR101916515B1 (ko) * | 2016-07-20 | 2018-11-07 | 현대자동차주식회사 | 원격 전자동 주차지원시스템에서의 주차모드 안내 방법 |
US10606272B2 (en) * | 2016-07-20 | 2020-03-31 | Hyundai Motor Company | Method for guiding parking mode in remote automatic parking support system |
US11393340B2 (en) * | 2016-12-30 | 2022-07-19 | Hyundai Motor Company | Automatic parking system and automatic parking method |
Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2003159994A (ja) * | 2001-11-22 | 2003-06-03 | Mitsubishi Motors Corp | 車両周辺監視装置 |
US20040130464A1 (en) * | 2002-10-25 | 2004-07-08 | Schindler Benno Tobias | Method of operating a display system in a vehicle for finding a parking place |
JP2006344009A (ja) * | 2005-06-09 | 2006-12-21 | Xanavi Informatics Corp | 車両周囲監視方法およびシステム |
JP2007272276A (ja) * | 2006-03-30 | 2007-10-18 | Toyota Mapmaster:Kk | 駐車支援システム |
JP2009037408A (ja) * | 2007-08-01 | 2009-02-19 | Toyota Motor Corp | 駐停車判定装置 |
WO2011132309A1 (ja) * | 2010-04-23 | 2011-10-27 | トヨタ自動車株式会社 | 駐車支援装置 |
US20130085636A1 (en) * | 2011-10-04 | 2013-04-04 | Mando Corporation | Method, apparatus, and system for parking control |
Family Cites Families (62)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US2610364A (en) * | 1948-12-11 | 1952-09-16 | William P Brower | Vehicular parking installation |
US3105221A (en) * | 1959-06-01 | 1963-09-24 | Peter D Schwarz | Traffic counting apparatus |
US7164117B2 (en) * | 1992-05-05 | 2007-01-16 | Automotive Technologies International, Inc. | Vehicular restraint system control system and method using multiple optical imagers |
US7663502B2 (en) * | 1992-05-05 | 2010-02-16 | Intelligent Technologies International, Inc. | Asset system control arrangement and method |
JPS6315105A (ja) * | 1986-07-04 | 1988-01-22 | Daihatsu Motor Co Ltd | 駐車スペ−ス測定方法 |
US5365516A (en) * | 1991-08-16 | 1994-11-15 | Pinpoint Communications, Inc. | Communication system and method for determining the location of a transponder unit |
JPH06111198A (ja) | 1992-09-29 | 1994-04-22 | Toyota Motor Corp | 駐車空間検出装置 |
US7209221B2 (en) * | 1994-05-23 | 2007-04-24 | Automotive Technologies International, Inc. | Method for obtaining and displaying information about objects in a vehicular blind spot |
US7630806B2 (en) * | 1994-05-23 | 2009-12-08 | Automotive Technologies International, Inc. | System and method for detecting and protecting pedestrians |
US7783403B2 (en) * | 1994-05-23 | 2010-08-24 | Automotive Technologies International, Inc. | System and method for preventing vehicular accidents |
US6885968B2 (en) * | 2000-05-08 | 2005-04-26 | Automotive Technologies International, Inc. | Vehicular exterior identification and monitoring system-agricultural product distribution |
US7359782B2 (en) * | 1994-05-23 | 2008-04-15 | Automotive Technologies International, Inc. | Vehicular impact reactive system and method |
US7629899B2 (en) * | 1997-10-22 | 2009-12-08 | Intelligent Technologies International, Inc. | Vehicular communication arrangement and method |
JP3358709B2 (ja) * | 1997-08-11 | 2002-12-24 | 富士重工業株式会社 | 車両用運転支援装置 |
JP4114292B2 (ja) * | 1998-12-03 | 2008-07-09 | アイシン・エィ・ダブリュ株式会社 | 運転支援装置 |
JP3183284B2 (ja) * | 1999-01-19 | 2001-07-09 | 株式会社豊田自動織機製作所 | 車両の後退時の操舵支援装置 |
EP1123844B1 (en) * | 1999-08-12 | 2008-10-08 | Kabushiki Kaisha Toyota Jidoshokki | Steering assist device |
JP3575364B2 (ja) * | 1999-12-28 | 2004-10-13 | 株式会社豊田自動織機 | 操舵支援装置 |
JP4380870B2 (ja) * | 2000-01-26 | 2009-12-09 | 日本車輌製造株式会社 | 民生バルクローリ |
AU2001259640A1 (en) * | 2000-05-08 | 2001-11-20 | Automotive Technologies International, Inc. | Vehicular blind spot identification and monitoring system |
JP3853307B2 (ja) * | 2003-07-08 | 2006-12-06 | 株式会社興研 | 乾式高圧負荷システム装置及び同装置の連鎖断線・アーク放電防止方法 |
DE10332961A1 (de) * | 2003-07-21 | 2005-02-17 | Robert Bosch Gmbh | Verfahren und Vorrichtung zur Bestimmung der Position und/oder der zu erwartenden Position eines Fahrzeuges während eines Einpark-Vorgangs in Relation zur Gegenfahrspur einer mehrspurigen Fahrbahn |
JP2005326963A (ja) * | 2004-05-12 | 2005-11-24 | Fujitsu Ten Ltd | 運転支援装置 |
JP2007099261A (ja) * | 2005-09-12 | 2007-04-19 | Aisin Aw Co Ltd | 駐車支援方法及び駐車支援装置 |
JP4631750B2 (ja) * | 2006-03-06 | 2011-02-16 | トヨタ自動車株式会社 | 画像処理システム |
JP2007316827A (ja) * | 2006-05-24 | 2007-12-06 | Toyota Motor Corp | 交差点交通管制システム |
JP5217152B2 (ja) * | 2006-11-14 | 2013-06-19 | アイシン精機株式会社 | 車両周辺表示装置 |
US8189962B2 (en) * | 2006-12-19 | 2012-05-29 | Hitachi Kokusai Electric Inc. | Image processing apparatus |
JP4501983B2 (ja) * | 2007-09-28 | 2010-07-14 | アイシン・エィ・ダブリュ株式会社 | 駐車支援システム、駐車支援方法、駐車支援プログラム |
US8560169B2 (en) * | 2007-12-18 | 2013-10-15 | Honda Motor Co., Ltd. | Vehicular parking feasibility determining system, vehicular parking space detection system and vehicular movable range detection system |
JP2009162567A (ja) * | 2007-12-28 | 2009-07-23 | Aisin Aw Co Ltd | ナビゲーション装置及びコンピュータプログラム |
JP5082905B2 (ja) * | 2008-02-11 | 2012-11-28 | アイシン・エィ・ダブリュ株式会社 | 駐車支援装置、駐車支援方法及びコンピュータプログラム |
JP4530060B2 (ja) * | 2008-02-19 | 2010-08-25 | トヨタ自動車株式会社 | 駐車支援装置及び方法 |
JP5303356B2 (ja) | 2009-05-21 | 2013-10-02 | 本田技研工業株式会社 | 車両の駐車支援システム |
JP5634046B2 (ja) * | 2009-09-25 | 2014-12-03 | クラリオン株式会社 | センサコントローラ、ナビゲーション装置、センサ制御方法 |
JP4970516B2 (ja) * | 2009-09-30 | 2012-07-11 | 日立オートモティブシステムズ株式会社 | 周囲確認支援装置 |
JP5482167B2 (ja) * | 2009-12-10 | 2014-04-23 | アイシン・エィ・ダブリュ株式会社 | 車両用走行案内装置、車両用走行案内方法及びコンピュータプログラム |
EP2560150B1 (en) * | 2010-04-12 | 2015-05-20 | Toyota Jidosha Kabushiki Kaisha | Vehicle remote operation system and on-board device |
US8442763B2 (en) * | 2010-04-16 | 2013-05-14 | CSR Technology Holdings Inc. | Method and apparatus for geographically aiding navigation satellite system solution |
JP5516992B2 (ja) * | 2010-11-30 | 2014-06-11 | アイシン精機株式会社 | 駐車位置調整装置 |
JP5218532B2 (ja) * | 2010-12-01 | 2013-06-26 | 株式会社日本自動車部品総合研究所 | 運転支援装置および運転支援システム |
IL211838A (en) * | 2011-03-21 | 2015-10-29 | Boris Tsukerman | Vehicle with adjustable dimensions |
DE102011082126B4 (de) * | 2011-09-05 | 2020-07-23 | Robert Bosch Gmbh | Sicherheitseinrichtung für kraftfahrzeuge |
KR101316501B1 (ko) * | 2011-10-14 | 2013-10-10 | 현대자동차주식회사 | 메쉬형 공간 해석기법을 이용한 주차 공간 탐지방법 및 그 시스템 |
CN102425090B (zh) * | 2011-12-28 | 2014-12-03 | 陈清伟 | 可集约利用土地并能避免交通堵塞的城市立体道路 |
JP5831269B2 (ja) * | 2012-02-08 | 2015-12-09 | 三菱自動車工業株式会社 | 運転支援装置 |
JP2015508360A (ja) * | 2012-02-23 | 2015-03-19 | ツィティマキス・パナギオティス | 車両の路上の前方への進路と補助的機構による最終駐車位置における車両の後部の配置だけを使用した車両を駐車するための方法 |
US20140309853A1 (en) * | 2013-04-15 | 2014-10-16 | Flextronics Ap, Llc | Vehicle diagnostics and roadside assistance |
WO2014002211A1 (ja) * | 2012-06-27 | 2014-01-03 | 三菱電機株式会社 | 測位装置 |
KR101358423B1 (ko) * | 2012-08-31 | 2014-02-04 | 주식회사 에스엘 서봉 | 차량용 헤드램프 제어 시스템 및 제어 방법 |
JP5981322B2 (ja) * | 2012-11-27 | 2016-08-31 | クラリオン株式会社 | 車載画像処理装置 |
US9613533B2 (en) * | 2012-12-12 | 2017-04-04 | Honda Motor Co., Ltd. | Parking space detector |
US9110169B2 (en) * | 2013-03-08 | 2015-08-18 | Advanced Scientific Concepts, Inc. | LADAR enabled impact mitigation system |
CN105121231A (zh) * | 2013-04-26 | 2015-12-02 | 丰田自动车株式会社 | 驻车支援装置 |
KR101448786B1 (ko) * | 2013-05-22 | 2014-10-13 | 현대자동차 주식회사 | 주차 보조 시스템 및 주차 정렬 제어 방법 |
US9069080B2 (en) * | 2013-05-24 | 2015-06-30 | Advanced Scientific Concepts, Inc. | Automotive auxiliary ladar sensor |
KR20150022436A (ko) * | 2013-08-23 | 2015-03-04 | 주식회사 만도 | 주차 제어 장치, 방법 및 시스템 |
US9644986B2 (en) * | 2013-09-09 | 2017-05-09 | Mitsubishi Electric Corporation | Drive support system and drive support method |
US9443430B2 (en) * | 2013-09-11 | 2016-09-13 | Here Global B.V. | Method and apparatus for determining an adjustment in parking position based on proximate parked vehicle information |
JP6303377B2 (ja) * | 2013-10-04 | 2018-04-04 | アイシン精機株式会社 | 駐車支援装置 |
KR101470240B1 (ko) * | 2013-11-14 | 2014-12-08 | 현대자동차주식회사 | 주차 영역 검출 장치 및 그 방법 |
KR101477232B1 (ko) * | 2013-11-29 | 2014-12-29 | 현대모비스 주식회사 | 전진 직각 주차 제어 장치와 방법 및 상기 장치를 구비하는 전진 직각 주차 시스템 |
-
2016
- 2016-07-29 EP EP16830072.1A patent/EP3330135B1/en active Active
- 2016-07-29 JP JP2017531025A patent/JP6774948B2/ja active Active
- 2016-07-29 WO PCT/JP2016/003529 patent/WO2017017967A1/ja active Application Filing
- 2016-07-29 US US15/747,196 patent/US10668855B2/en active Active
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2003159994A (ja) * | 2001-11-22 | 2003-06-03 | Mitsubishi Motors Corp | 車両周辺監視装置 |
US20040130464A1 (en) * | 2002-10-25 | 2004-07-08 | Schindler Benno Tobias | Method of operating a display system in a vehicle for finding a parking place |
JP2006344009A (ja) * | 2005-06-09 | 2006-12-21 | Xanavi Informatics Corp | 車両周囲監視方法およびシステム |
JP2007272276A (ja) * | 2006-03-30 | 2007-10-18 | Toyota Mapmaster:Kk | 駐車支援システム |
JP2009037408A (ja) * | 2007-08-01 | 2009-02-19 | Toyota Motor Corp | 駐停車判定装置 |
WO2011132309A1 (ja) * | 2010-04-23 | 2011-10-27 | トヨタ自動車株式会社 | 駐車支援装置 |
US20130085636A1 (en) * | 2011-10-04 | 2013-04-04 | Mando Corporation | Method, apparatus, and system for parking control |
Non-Patent Citations (1)
Title |
---|
See also references of EP3330135A4 * |
Also Published As
Publication number | Publication date |
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US10668855B2 (en) | 2020-06-02 |
EP3330135A4 (en) | 2019-06-05 |
US20180208114A1 (en) | 2018-07-26 |
EP3330135B1 (en) | 2022-08-03 |
JP6774948B2 (ja) | 2020-10-28 |
EP3330135A1 (en) | 2018-06-06 |
JPWO2017017967A1 (ja) | 2018-03-15 |
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