WO2016208318A1 - 距離画像処理装置、距離画像処理方法、距離画像処理プログラムおよび記録媒体 - Google Patents
距離画像処理装置、距離画像処理方法、距離画像処理プログラムおよび記録媒体 Download PDFInfo
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S17/00—Systems using the reflection or reradiation of electromagnetic waves other than radio waves, e.g. lidar systems
- G01S17/02—Systems using the reflection of electromagnetic waves other than radio waves
- G01S17/06—Systems determining position data of a target
- G01S17/08—Systems determining position data of a target for measuring distance only
- G01S17/10—Systems determining position data of a target for measuring distance only using transmission of interrupted, pulse-modulated waves
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
- G01S7/48—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S17/00
- G01S7/4802—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S17/00 using analysis of echo signal for target characterisation; Target signature; Target cross-section
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- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C3/00—Measuring distances in line of sight; Optical rangefinders
- G01C3/02—Details
- G01C3/06—Use of electric means to obtain final indication
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- G01C3/00—Measuring distances in line of sight; Optical rangefinders
- G01C3/02—Details
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- G01C3/08—Use of electric radiation detectors
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- G—PHYSICS
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- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S17/00—Systems using the reflection or reradiation of electromagnetic waves other than radio waves, e.g. lidar systems
- G01S17/88—Lidar systems specially adapted for specific applications
- G01S17/89—Lidar systems specially adapted for specific applications for mapping or imaging
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- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
- G01S7/48—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S17/00
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Definitions
- the present invention relates to a distance image processing apparatus for processing a distance image, a distance image processing method, a distance image processing program, and a recording medium on which the distance image processing program is recorded.
- the distance image is an image composed of a plurality of pixels expressed by information representing the distance to the subject, and is formed by assigning different colors depending on the distance to the subject, for example.
- a distance image is acquired using, for example, LIDAR (Laser Imaging Detection and Ranging) technology.
- This three-dimensional distance image technique obtains a time (transmission / reception time) until the transmitted wave hits the object and returns as the reflected wave by receiving a reflected wave of the transmitted wave from the object, and the propagation of the transmitted wave
- the distance image is generated by calculating the distance to the subject by multiplying the speed by half of the transmission / reception time.
- the image processing apparatus disclosed in Patent Document 1 includes a preprocessing unit that removes a ghost portion from a distance image based on a luminance image, and an edge extraction unit that extracts an edge from the distance image from which the ghost portion has been removed.
- a removal unit that removes the pixel distance value of the edge portion extracted by the edge extraction unit in the distance image from which the ghost portion has been removed.
- the luminance is defined as representing the intensity of the reflected wave.
- the image processing apparatus disclosed in Patent Document 1 removes a ghost part from a distance image based on a luminance image, and therefore, image processing for obtaining a luminance image is required in addition to the distance image. Further, since the image processing apparatus disclosed in Patent Document 1 removes a ghost part from a distance image based on a luminance image, it is removed as a ghost part even when a part with low reflectance exists on one surface. There is a risk of being.
- the present invention has been made in view of the above-described circumstances, and its purpose is to acquire a more accurate range image even when a plurality of objects are arranged back and forth along the traveling direction of the transmission wave.
- a distance image processing apparatus, a distance image processing method, and a distance image processing program are provided.
- the present invention is to provide a recording medium on which the distance image processing program is recorded.
- a distance image processing apparatus, a distance image processing method, and a distance image processing program according to the present invention provide a distance image having a plurality of pixels corresponding to a plurality of different directions based on a plurality of transmission waves and a plurality of reflected waves. And when the predetermined region in the distance image is the attention region, the slope of the distance value between the attention region and the peripheral region with respect to the attention region is within a predetermined range, and the attention region When the pulse width of the reflected wave with respect to is larger than the pulse width of the reflected wave with respect to the peripheral region, the region of interest is determined as noise.
- the recording medium records such a distance image processing program.
- the distance image processing apparatus, the distance image processing method, and the distance image processing program according to the present invention can obtain a more accurate distance image even when a plurality of objects are arranged back and forth along the traveling direction of the transmission wave. You can get it.
- a recording medium on which this distance image processing program is recorded can be provided.
- FIG. 10 is a diagram in which the distance image of FIG. 4 excluding the white area in FIG. 9 is displayed as a three-dimensional point group.
- the distance image processing device transmits a predetermined pulsed transmission wave in a plurality of directions different from each other, receives a plurality of reflected waves based on each of the plurality of transmission waves, A distance image acquisition unit that acquires a distance image having a plurality of pixels corresponding to each of the plurality of directions based on a plurality of reflected waves, and the attention area when the predetermined area in the distance image is the attention area And a slope of a distance value between the target region and a peripheral region located in a predetermined periphery is within a predetermined range, and a pulse width of the reflected wave related to the target region is the reflected wave related to the peripheral region And a noise determination unit that determines that the region of interest is noise.
- Such a distance image processing apparatus may be incorporated in an apparatus for an appropriate application, or may be configured by a single apparatus, for example, a computer having the distance image acquisition unit.
- a distance image processing apparatus incorporated in a radar will be described.
- FIG. 1 is a block diagram showing a configuration of a radar using the range image processing apparatus of the embodiment.
- FIG. 2 is a perspective view showing an external configuration of the radar.
- FIG. 3 is a diagram for explaining a basic mechanism for generating a distance image in the radar.
- FIG. 3A shows a state of scanning
- FIG. 3B is a diagram for explaining a transmission / reception time.
- FIG. 4 is a diagram illustrating an example of a distance image (distance image before noise removal processing) generated by the basic mechanism.
- the radar S using the distance image processing apparatus of the embodiment includes a transmission / reception unit 1, a control processing unit 2, a storage unit 3, and a housing HG (see FIG. 2).
- the housing HG includes a bottomed semi-cylindrical lower member HG1, and an upper member HG2 connected to the upper part of the lower member HG1 and having a closed hollow semicircular truncated cone, and the lower member HG1 and the upper part.
- the protective member HG3 is fitted and fixed to the opening WD opened on the obliquely curved side surface of the upper member HG2.
- the control processing unit 2 and the storage unit 3 in the radar S may be housed in the housing HG or may be provided outside the housing HG.
- the protection member HG3 is formed of a material that transmits a transmission wave and a reflected wave, which will be described later, and is a member for protecting the transmission / reception unit 1, and therefore requires a certain degree of strength.
- the protective member HG3 since the transmission wave is laser light and the reflected wave is reflected light of this laser light, the protective member HG3 transmits light in a predetermined wavelength range with the wavelength of the laser light as the center wavelength.
- it is made of a material such as polycarbonate or glass.
- the transmission / reception unit 1 is connected to the control processing unit 2, and transmits predetermined pulsed transmission waves in a plurality of different directions according to the control of the control processing unit 2, and a plurality of reflections based on the plurality of transmission waves, respectively.
- the receiving unit 12 outputs a digital signal corresponding to the intensity of the received reflected wave to the control processing unit 2.
- the transmission wave is, for example, an electromagnetic wave such as light or millimeter wave, or a sound wave such as an ultrasonic wave.
- the transmission wave is a pulsed laser beam.
- the transmitter 11 sequentially irradiates, for example, a laser light source that emits a laser beam such as a semiconductor laser in a pulsed manner and a laser beam emitted from the laser light source in a plurality of different directions.
- Scanning optical system includes an actuator such as a motor and a mirror (reflecting mirror), for example, and the incident angle of the laser light emitted from the laser light source is increased by rotating the mirror around a predetermined axis by the actuator. Change sequentially.
- the scanning optical system sequentially irradiates the pulsed laser light emitted from the laser light source in a plurality of different directions within a predetermined irradiation range AR shown in FIG. 3A, for example.
- the forward direction of the radar S is the X direction
- the height direction of the radar S orthogonal to the X direction is the Z direction
- the X direction and the direction orthogonal to each of the Z directions are the Y directions.
- the irradiation range AR is the deviation in the example shown in FIG. 3A.
- the angle ⁇ is 90 ° ⁇ ⁇ ( ⁇ is, for example, 5 °, 7 °, 10 °, 15 °, etc.), and the deflection angle ⁇ is in a range of ⁇ 90 °.
- the declination angle ⁇ is an angle formed by the projection of the moving radius r on the XY plane and the X axis, and the declination ⁇ is the angle formed by the moving radius r and the Z axis.
- the irradiation range AR shown in FIG. 3A is merely an example, and the irradiation range AR is arbitrary and is not limited to the example shown in FIG. 3A.
- the storage unit 3 is a circuit that is connected to the control processing unit 2 and stores various predetermined programs and various predetermined data under the control of the control processing unit 2.
- the various predetermined programs include, for example, a transmission / reception program for transmitting the transmission waves in a plurality of different directions and receiving a plurality of reflected waves based on the plurality of transmission waves, and the plurality of transmission waves, for example.
- a control processing program such as a distance image generation program for generating a distance image having a plurality of pixels corresponding to each of the plurality of directions based on the plurality of reflected waves.
- a distance to a subject (object) is obtained based on a transmission wave corresponding to the pixel (the direction) and a reflected wave thereof.
- the distance image preprocessing program for generating the distance image before noise removal or the predetermined area in the distance image generated by the distance image preprocessing program is set as the attention area, the attention area and the predetermined area for the attention area When the gradient of the distance value between the surrounding area and the surrounding area located in the vicinity of is within a predetermined range, and the pulse width of the reflected wave related to the attention area is larger than the pulse width of the reflected wave related to the surrounding area.
- a noise determination program for determining the region of interest as noise, or a pixel in the region of interest determined as noise by the noise determination program The include noise removal program for setting a predetermined noise pixel values representing noise.
- the various predetermined data includes various data such as data necessary for executing various programs and data obtained by executing various programs.
- the storage unit 3 includes, for example, a ROM (Read Only Memory) that is a nonvolatile storage element, an EEPROM (Electrically Erasable Programmable Read Only Memory) that is a rewritable nonvolatile storage element, and the like.
- the storage unit 3 includes a RAM (Random Access Memory) that serves as a working memory of the so-called control processing unit 2 that stores data generated during execution of the predetermined program.
- control processing unit 2 is connected to the transmission / reception unit 1 and the storage unit 3 and controls each unit of the radar S according to the function of each unit, and transmits and receives the transmission wave and the reflected wave to the distance. It is a circuit for generating an image.
- the control processing unit 2 includes, for example, a CPU (Central Processing Unit) and its peripheral circuits.
- the control processing unit 2 functionally includes a control unit 21 and a distance image generation unit 22 by executing the control processing program.
- the control unit 21 controls each part of the radar S according to the function of each part.
- the distance image generation unit 22 generates a distance image having a plurality of pixels corresponding to each of the plurality of directions based on the plurality of transmission waves and the plurality of reflected waves.
- the distance image generation unit 22 functionally includes a distance image preprocessing unit 221, a noise determination unit 222, and a noise removal unit 223.
- the distance image pre-processing unit 221 calculates the distance to the subject (object) for each of the plurality of pixels (the plurality of directions) based on the transmission wave corresponding to the pixel (the direction) and the reflected wave. is there. Thus, the distance image preprocessing unit 221 generates a distance image before noise removal. More specifically, for each of the plurality of pixels (the plurality of directions), the distance image preprocessing unit 221 starts from the transmission time of the transmission wave corresponding to the pixel (the direction) as illustrated in FIG. 3B.
- the transmission time and the reception time are, for example, a pulse peak time and a pulse rise time, respectively. In this case, for example, as disclosed in JP-A-62-134584, an intermediate time between the rising time and the falling time of the pulse may be set as the peak time.
- An example of the distance image before noise removal generated by the distance image preprocessing unit 221 is shown in FIG. The distance image shown in FIG.
- FIG. 4 is obtained by using a landscape where a person stands in front of a white wall as a subject.
- pixel values are set so that the closer the subject is to the radar S, the closer to black, and the closer the subject is to the radar S, the closer to white.
- the noise determination unit 222 is located in the region of interest and a predetermined region around the region of interest.
- the gradient Gr of the distance value between and the distance between the two regions is within a predetermined range thg1 to thg2 (thg1 ⁇ Gr ⁇ thg2), and the pulse width PW1 of the reflected wave related to the region of interest is When the pulse width is larger than PW2 (PW1> PW2), the region of interest is determined as noise.
- the gradient Gr of the distance value between the attention area and the peripheral area is the pixel value at the center position of the attention area (distance in the X direction, the distance in the front-rear direction) and the pixel value at the center position of the peripheral area (in the X direction).
- the difference between the distance and the distance in the front-rear direction is divided by the difference between the center position of the attention area and the center position of the peripheral area in a vertical plane orthogonal to the X direction.
- the pulse width PW1 of the reflected wave relating to the attention area is an average value of the pulse width of the reflected wave relating to pixels belonging to the attention area.
- the pulse width PW2 of the reflected wave related to the peripheral region is an average value of the pulse width of the reflected wave related to the pixels belonging to the peripheral region.
- the noise determination unit 222 divides the distance image before noise removal into a plurality of regions, and for each of the plurality of regions, a distance value between the region and a peripheral region located in a predetermined periphery with respect to the region.
- the gradient Gr is within a predetermined range thg1 to thg2 (thg1 ⁇ Gr ⁇ thg2) and the pulse width PW1 of the reflected wave related to the region is larger than the pulse width PW2 of the reflected wave related to the peripheral region (PW1 > PW2)
- the region may be determined as noise.
- the noise determination unit 22 determines the pixel (target pixel) and the pixel for each of the plurality of pixels (a plurality of directions).
- the gradient Gr of the distance value with respect to the peripheral pixels located in a predetermined periphery with respect to the predetermined range is within a predetermined range thg1 to thg2 (thg1 ⁇ r ⁇ thg2), and determines if the pulse width PW1 of the reflected wave related to the pixels the larger the pulse width PW2 of the reflected wave related to the peripheral pixels (PW1> PW2), the pixel noise.
- the gradient Gr of the distance value between the pixel and its surrounding pixels is the pixel value of the pixel (distance in the X direction, distance in the front-rear direction) and the pixel value of the peripheral pixel (distance in the X direction, front-rear direction). Is divided by the difference between the position of the pixel in the vertical plane perpendicular to the X direction and the position of the surrounding pixels.
- the noise determination unit 222 functionally includes an inclination processing unit 2221, a pulse width processing unit 2222, and a determination unit 2223.
- the inclination processing unit 2221 obtains an inclination Gr of a distance value between the pixel and a peripheral pixel located in a predetermined vicinity with respect to the pixel, and the inclination value It is determined whether or not the inclination Gr is within a predetermined range thg1 to thg2, and this determination result (inclination determination result) is notified to the determination unit 2223.
- the pulse width processing unit 2222 determines, for each of the plurality of pixels (a plurality of directions), whether or not the pulse width PW1 of the reflected wave related to the pixel is larger than the pulse width PW2 of the reflected wave related to the surrounding pixels, This determination result (pulse width determination result) is notified to the determination unit 2223.
- the determination unit 2223 determines whether the pixel is noise based on the inclination determination result of the inclination processing unit 2221 and the pulse width determination result of the pulse width processing unit 2222. Judgment.
- the noise removing unit 223 sets the pixel value of the attention area determined as noise by the noise determining unit 222 to a predetermined noise pixel value representing noise. Thus, a distance image after noise removal is generated.
- the noise removal unit 223 sets the pixel value of the pixel determined as noise by the determination unit 2223 of the noise determination unit 222 as the noise pixel value.
- the noise pixel value is a predetermined pixel value set in advance as a pixel value representing noise, for example, a value representing infinite distance.
- FIG. 5 is a diagram in which the distance image shown in FIG. 4 is displayed as a three-dimensional point group.
- FIG. 6 is a diagram for explaining a case where noise is not generated by a front object and a back object positioned in front and back along the transmission direction of the pulse laser beam.
- FIG. 7 is a diagram for explaining a case where noise is generated by an object in the foreground and an object in the back positioned forward and backward along the transmission direction of the pulse laser beam.
- FIG. 6A and 7A show beam-like transmission waves (in this embodiment, pulse laser light, which are irradiated to the front object Obf and the back object Obr positioned back and forth along the transmission direction (X direction) of the pulse laser light.
- FIG. 6B and 7B show signal waveforms of reflected waves reflected by the near object Obf inside the beam diameter from the end of the near object Obf in the lateral direction (Y direction) orthogonal to the transmission direction.
- FIGS. 6C and 7C show signal waveforms of reflected waves reflected near the front of the object Obf on the near side of the object Obr in the lateral direction (Y direction).
- FIG. 6D and FIG. 7D show signal waveforms of reflected waves reflected by the back object Obr inside the beam diameter from the end of the back object Obr in the lateral direction (Y direction).
- the distance image before noise removal generated by the distance image preprocessing unit 221 shown in FIG. 4 shown as an example is displayed as a three-dimensional point group
- the distance image before noise removal is shown in FIG.
- the point group shown in FIG. 5 is obtained by a known method from the pixel value (distance), declination angle ⁇ (vertical direction angle), and declination angle ⁇ (left-right direction angle) of the distance image shown in FIG.
- the front object Obf In the example shown in FIGS.
- a point group PGf (a point group PG1 corresponding to the person Ob1 in the example shown in FIG. 5) and a back object Obr (a white wall in the examples shown in FIGS. 4 and 5).
- a point group PGn is also generated between the point group PGr representing Ob2) (a point group PG2 corresponding to the white wall Ob2 in the example shown in FIG. 5).
- the point group PGn existing between these point groups PGf and PGr is not a point group that should be generated originally because no object exists between the front object Obf and the back object Obr. It is.
- the transmission wave is reflected only by the front object Obf, and the signal waveform of the reflected wave is as shown in FIG. A single-peak pulse waveform having one peak, similarly, the transmission wave is reflected only by the back object Obr, as shown in FIG. 6A, inside the beam diameter from the end of the back object Obr, As shown in FIG. 6D, the signal waveform of the reflected wave is a unimodal pulse waveform having one peak.
- FIG. 6A when the distance between the front object Obf and the back object Obr decreases from the aspect shown in FIG. 6A (when the front object Obf and the back object Obr approach each other), FIG.
- FIG. 6C When the peaks in the bimodal pulse waveform shown in FIG. 6C approach each other, and the distance between the front object Obf and the back object Obr is relatively close as shown in FIG.
- the signal waveform of the reflected wave is a unimodal pulse waveform, and this unimodal pulse waveform is composed of a reflected wave generated by a part of the transmitted wave being reflected by the front object Obf and the transmitted wave.
- the transmitted wave is reflected when only the object Obf in front or only the object Obr in the back is reflected.
- the threshold determination makes it impossible to distinguish the front object Obf and the back object Obr, and the unimodal pulse waveform as shown in FIG. 7C.
- the peak time of the pulse waveform indicates the peak time and the transmitted wave applied to the signal waveform of the reflected wave (shown by a broken line in FIG.
- the signal waveform of the reflected wave when the transmitted wave is reflected from the end of the front object Obf inside the beam diameter ( FIG. 7B) and the signal waveform (FIG. 7D) of the reflected wave when the transmitted wave is reflected from the end of the object Obr at the inner side of the beam diameter are the same as those shown in FIGS. 6B and 6D, respectively. .
- the signal waveform of the reflected wave is changed from a bimodal pulse waveform to a single-peak pulse waveform is related to the distance between the front object Obf and the back object Obr, and with respect to the attention area and the attention area.
- the determination can be made based on the gradient Gr between the peripheral region located in a predetermined periphery (in this embodiment, the gradient Gr of the distance value between the pixel and a peripheral pixel located in the predetermined periphery with respect to the pixel).
- the unimodal pulse waveform is a reflected wave reflected near the front of the object Obr on the back side of the object Obr is related to the pulse width
- the pulse width PW1 of the reflected wave related to the region of interest and the The determination can be made based on the pulse width PW2 of the reflected wave related to the peripheral region (in this embodiment, the pulse width PW1 of the reflected wave related to the pixel and the pulse width PW2 of the reflected wave related to the peripheral pixel). From these determination results (inclination determination result and pulse width determination result), it can be determined whether or not the pixel value of the pixel in the distance image is noise.
- the radar using the range image processing apparatus of the present embodiment includes the noise determination unit 222 as described above, and is as follows. Is working.
- FIG. 8 is a flowchart showing the operation of the radar.
- FIG. 9 is a diagram showing the noise area determined by the processing shown in the flowchart of FIG. 8 as white and the area determined not to be noise as black.
- FIG. 10 is a diagram in which the distance image in FIG. 4 excluding the white area in FIG. 9 is displayed as a three-dimensional point group.
- the control processing unit 2 is functionally configured with a control unit 21 and a distance image generation unit 22.
- the distance image generation unit 22 includes a distance image preprocessing unit 221, a noise determination unit. 222 and the noise removal unit 223 are functionally configured, and the noise determination unit 222 is functionally configured with an inclination processing unit 2221, a pulse width processing unit 2222, and a determination unit 2223.
- the control processing unit 2 measures the transmission / reception time for each of the plurality of directions. More specifically, the control processing unit 2 causes the control unit 21 to transmit a transmission wave to the transmission unit 11 in the direction to be measured first in the plurality of directions, and to transmit the transmission wave (transmission timing). (Time) is notified to the distance image pre-processing unit 221.
- the receiving unit 12 When receiving the reflected wave with respect to the transmission wave, the receiving unit 12 outputs a digital signal corresponding to the intensity of the reflected wave to the control processing unit 2.
- the distance image pre-processing unit 221 of the control processing unit 2 receives the digital signal from the reception unit 12 from the transmission timing (transmission time) of the transmission wave in the first direction (that is, the first signal).
- the transmission / reception time ⁇ 1 up to the reception time of the reflected wave based on the transmission wave with respect to the direction is determined.
- the distance image preprocessing unit 221 calculates the distance in the first direction in the plurality of directions by multiplying the transmission speed of the transmission wave by half of the determined transmission / reception time ⁇ 1. Further, a time during which the reflected wave is equal to or greater than a predetermined threshold value set in advance is counted, and the measured time is set as a pulse width. Thereby, the pixel value of the first corresponding pixel is obtained.
- the control processing unit 2 causes the control unit 21 to transmit a transmission wave to the transmission unit 11 in the second direction to be measured in the plurality of directions.
- the receiving unit 12 When receiving the reflected wave with respect to the transmission wave, the receiving unit 12 outputs a digital signal corresponding to the intensity of the reflected wave to the control processing unit 2.
- the distance image preprocessing unit 221 of the control processing unit 2 receives the digital signal from the reception unit 12 from the transmission timing (transmission time) of the transmission wave in the second direction (that is, the second time).
- the transmission / reception time ⁇ 2 up to the reception time of the reflected wave based on the transmission wave with respect to the direction is determined.
- the distance image pre-processing unit 221 obtains the distance in the second direction among the plurality of directions by multiplying the half of the obtained transmission / reception time ⁇ 2 by the propagation speed of the transmission wave. Further, the time during which the reflected wave is equal to or greater than the predetermined threshold is counted, and the measured time is set as the pulse width. Thereby, the pixel value of the second corresponding pixel is obtained. Thereafter, the control processing unit 2 performs the measurement in the same manner up to the last order in the plurality of directions (the plurality of measurement points), similarly, the distance image preprocessing unit 221 obtains the distance, and all the directions (all The measurement of the transmission / reception time ⁇ and the calculation of the distance are executed for each of the measurement points).
- the noise determination unit 222 first displays the noise image before noise removal generated by the distance image preprocessing unit 221.
- a predetermined target pixel is selected and extracted from the distance image. For example, a pixel corresponding to the first direction is selected and extracted as a target pixel (S1).
- the noise determination unit 222 selects and extracts peripheral pixels located in a predetermined periphery with respect to the target pixel extracted in the process S1 (S2). For example, the noise determination unit 222 extracts one or a plurality of pixels located along the left and right directions ( ⁇ Y direction and + Y direction) from the target pixel extracted in the process S1 as peripheral pixels. Further, for example, the noise determination unit 222 extracts one or a plurality of pixels positioned along the vertical direction (+ Z direction and ⁇ Z direction) from the target pixel extracted in the processing S1 as peripheral pixels.
- the noise determination unit 222 includes one or more pixels positioned along the left-right direction from the target pixel extracted in step S1, and one or more pixels positioned along the vertical direction from the target pixel. Are extracted as peripheral pixels.
- the noise determination unit 222 extracts a plurality of pixels located over the entire circumference of the target pixel extracted in the process S1 as peripheral pixels.
- the noise determination unit 222 includes one pixel located along the left direction ( ⁇ Y direction) from the target pixel extracted in step S1, and the right position (+ Y direction) from the target pixel.
- One pixel to be extracted is extracted as a peripheral pixel.
- the noise determination unit 222 executes a determination process based on the distance by using the inclination processing unit 2221 (S3-1), and executes a determination process based on the pulse width by the pulse width processing unit 2222 (S3-2).
- the discrimination process S3-1 based on the distance and the discrimination process S3-2 based on the pulse width may be executed in parallel or may be executed in a time division manner. In the case of time division, any of the determination processes S3-1 and S3-2 may be performed first.
- the gradient processing unit 2221 obtains the gradient Gr of the distance value between the target pixel extracted in step S1 and the peripheral pixels extracted in step S2 (S11).
- the peripheral pixels are one pixel in the ⁇ Y direction and one pixel in the + Y direction
- the gradient Gr1 of the distance value between the one pixel in the ⁇ Y direction and the target pixel and the one in the + Y direction are set.
- a gradient Gr2 of the distance value between the pixel and the target pixel is obtained.
- the noise determination unit 222 is positioned along the left direction ( ⁇ Y direction) from the target pixel and the right direction (+ Y direction) from the target pixel.
- the gradients Gr1-1, Gr1-2, and Gr1-2 of each distance value between each of the two pixels in the ⁇ Y direction and the target pixel are extracted.
- the gradients Gr2-1 and Gr2-2 of each distance value between each of the two pixels in the + Y direction and the target pixel are obtained.
- the maximum gradient and the minimum gradient among the gradients Gr1-1, Gr1-2, Gr2-1, and Gr2-2 of these four distance values are set as the gradients of the distance values of the surrounding pixels. Also good.
- the inclination processing unit 2221 determines whether or not the inclination Gr of the distance value obtained in this process S11 is within a predetermined range thg1 to thg2 (S12).
- the predetermined ranges thg1 to thg2 are appropriately set based on the above-described noise generation mechanism, and are set based on, for example, a result using a plurality of samples.
- the gradient processing unit 2221 displays the gradient determination result associated with the target pixel.
- the distance noise flag to be represented is set to “1” (S13), and the discrimination process based on this distance is terminated.
- the inclination processing unit 2221 ends the discrimination process based on this distance.
- the distance noise flag “1” represents that the gradient Gr of the distance value is within a predetermined range
- the distance noise flag “0” represents that the gradient Gr of the distance value is not within the predetermined range.
- the distance noise flag is provided for each pixel in the distance image, and is set to the default “0” in the above-described initialization.
- the inclination processing unit 2221 includes the gradient Gr1 of the distance value between the one pixel in the ⁇ Y direction and the target pixel and the distance value between the one pixel in the + Y direction and the target pixel. It is determined whether each of the slopes Gr2 is within the predetermined range thg1 to thg2, and when both the slopes Gr1 and Gr2 are within the predetermined range thg1 to thg2 (Yes, thg1 ⁇ Gr1, Gr2 ⁇ thg2) ), The process based on the distance is completed by executing step S13, and when at least one of the gradients Gr1 and Gr2 of the distance values is not within the predetermined range thg1 to thg2 (No, Gr1 ⁇ thg1) , Thg2 ⁇ Gr1, Gr2 ⁇ thg1, and thg2 ⁇ Gr2 are satisfied) To terminate the management.
- the pulse width processing unit 2222 obtains the pulse width PW1 in the signal waveform of the reflected wave related to the target pixel extracted in step S1 and the pulse width PW2 in the signal waveform of the reflected wave related to the peripheral pixel extracted in step S2 (S21).
- the pulse width processing unit 2222 uses the pulse width PW21 in the signal waveform of the reflected wave for one pixel in the ⁇ Y direction and The pulse width PW22 in the signal waveform of the reflected wave for one pixel in the + Y direction is obtained, and the average value of the obtained pulse widths PW21 and PW22 is obtained as the pulse width PW2.
- the pulse width processing unit 2222 determines whether or not the pulse width PW1 of the reflected wave related to the target pixel is larger than the pulse width PW2 of the reflected wave related to the surrounding pixels. More specifically, the pulse width processing unit 2222 calculates the pulse width PW1 applied to the pixel of interest and the pulse width PW2 applied to the peripheral pixels obtained in step S21 (in this embodiment, the average value of the pulse width PW21 and the pulse width PW22). (S22), and the pulse width processing unit 2222 determines whether or not the difference PWs obtained in step S22 is equal to or greater than a predetermined threshold thp (S23).
- the predetermined threshold thp is appropriately set based on the above-described noise generation mechanism, and is set from, for example, a result using a plurality of samples. As a result of this determination, when the difference PWs is equal to or greater than the predetermined threshold thp (Yes, thp ⁇ PWs), the pulse width processing unit 2222 represents a pulse width determination result associated with the target pixel. When the pulse width noise flag is set to “1” (S23), the discrimination process based on the pulse width is finished.
- the pulse width processing unit 2222 ends the discrimination processing based on the pulse width.
- the pulse width noise flag “1” indicates that the difference PWs is greater than or equal to the threshold thp, that is, the pulse width PW1 of the reflected wave related to the target pixel is larger than the pulse width PW2 of the reflected wave related to the surrounding pixels.
- the noise flag “0” indicates that the difference PWs is not greater than or equal to the threshold thp, that is, the pulse width PW1 of the reflected wave related to the target pixel is not greater than the pulse width PW2 of the reflected wave related to the surrounding pixels.
- the pulse width noise flag is provided for each pixel in the distance image, and is set to the default “0” in the above-described initialization.
- step S5 As a result of the determination in step S5, when the AND calculation result is 1 (Yes), the determination unit 2223 sets “1” in the noise pixel flag indicating whether or not the pixel is noise in the target pixel (S6). ), The next process S7 is executed. On the other hand, as a result of the determination in the process S5, when the and operation result is not 1 (No), the determination unit 2223 executes the next process S7.
- the noise pixel flag “1” indicates that it is noise
- the noise pixel flag “0” indicates that it is not noise. Note that the noise pixel flag is provided for each pixel in the distance image, and is set to the default “0” in the above-described initialization.
- the noise determination part 222 determines whether the above-mentioned process was performed about all the pixels in the distance image before noise removal. As a result of this determination, when the above processing is not executed for all pixels (No), noise determination is performed in order to process the next pixel of interest, for example, the pixel corresponding to the second direction as the pixel of interest. The unit 222 returns the process to the process S1, while if the result of the determination is that the above-described process is executed for all pixels (Yes), the noise determination unit 222 ends the above-described process.
- the noise removal unit 223 determines the pixel value of the region of interest determined as noise by the noise determination unit 222 as follows. A predetermined noise pixel value representing noise is set. More specifically, the noise removing unit 223 sets a pixel value of a pixel having a noise pixel flag “1” as the noise pixel value. Thus, a distance image after noise removal is generated.
- the noise pixel flag “1” is a white pixel value
- the noise pixel flag “0” is a black pixel value.
- the distance image shown in FIG. 4 becomes a point group shown in FIG. 10 when the pixel having the noise pixel flag “1” is removed and displayed as a three-dimensional point group.
- the noise point group PGn is removed, and it can be seen that the noise is extracted by the above-described processing.
- the distance image processing apparatus incorporated in the radar S, the distance image processing method and the distance image processing program installed therein determine noise based on the gradient Gr and the pulse widths PW1 and PW2. Therefore, there is no need to obtain a luminance image, and it is possible to reduce erroneous determination as noise when there is a portion with low reflectance on one surface. Therefore, the distance image processing device, the distance image processing method, and the distance image processing program incorporated in the radar S are more accurate even when a plurality of objects Obk are arranged back and forth along the traveling direction of the transmission wave. A range image can be acquired.
- the distance image processing apparatus, the distance image processing method, and the distance image processing program incorporated in the radar S further include a noise removing unit 223, the noise of the attention region (target pixel) determined as noise by the noise determination unit 222 It is possible to obtain a distance image after removing noise from which noise is removed.
- control processing program including the distance image generation program may be provided by a recording medium that stores the control processing program.
- the radar S further includes an interface for inputting data of the recording medium, and the control processing program is installed in the storage unit 3 from the recording medium via the interface.
- the distance image processing device incorporated in the radar S may include the noise correction unit 224 indicated by a broken line in FIG. 1 instead of the noise removal unit 223.
- the noise correction unit 224 is functionally configured in the distance image generation unit 22, and the pixel value of the attention region (target pixel) determined as noise by the noise determination unit 222 is set to a predetermined value for the attention region (target pixel). This is set to the noise correction value obtained based on the pixel value of the area (pixel) not determined as noise in the second peripheral area (second peripheral pixel) located in the vicinity.
- the noise pixel value is, for example, a minimum value of pixel values of a region (pixel) that is not determined as noise in the second peripheral region (second peripheral pixel).
- the noise correction unit 224 since the noise correction unit 224 is provided, the pixel value of the attention region (target pixel) determined as noise by the noise determination unit 222 is determined as the noise in the second peripheral region (second peripheral pixel). A corrected distance image corrected with a noise correction value obtained based on a pixel value of a region (pixel) that has not been determined can be acquired.
- the range image processing device incorporated in the radar S may further include an edge region extraction unit 225 indicated by a broken line in FIG.
- the edge region extraction unit 225 is functionally configured in the distance image generation unit 22 and uses the pixel value of the attention region (target pixel) determined as noise by the noise determination unit 222 as an edge region representing an edge. is there. According to this, since the edge region extraction unit 225 is provided, the edge region can be further extracted with the attention region (target pixel) determined as noise by the noise determination unit 222 as the edge region.
- the predetermined ranges thg1 to thg2 are preset and fixedly used. However, a plurality of the ranges thg1 to thg2 are prepared in advance in association with a predetermined condition, and the plurality of the ranges The ranges thg1 to thg2 that meet the current conditions may be selected from the ranges thg1 to thg2.
- the threshold value thp is preset and used in a fixed manner. However, a plurality of threshold values thp are prepared in advance in association with a predetermined condition, and the current condition is met from the plurality of threshold values thp. The threshold thp may be selected and used.
- the predetermined ranges thg1 to thg2 may be changed according to the pixel value (distance value) of the target pixel.
- the threshold thp may be changed according to the pixel value (distance value) of the target pixel.
- the predetermined range thg1 to thg2 is changed so that the difference between thg1 and thg2 is increased and the threshold value thp is increased as the pixel of interest moves from near the radar S to a far position. Let This corresponds to an increase in the spot size of the transmitted laser as the distance to the radar S increases.
- the distance image processing apparatus transmits a predetermined pulsed transmission wave in a plurality of different directions, receives a plurality of reflected waves based on each of the plurality of transmission waves, and transmits the plurality of transmission waves and A distance image acquisition unit that acquires a distance image having a plurality of pixels corresponding to each of the plurality of directions based on the plurality of reflected waves, and when the predetermined region in the distance image is a region of interest, the attention A slope of a distance value between a region and a peripheral region located in a predetermined periphery with respect to the region of interest is within a predetermined range, and a pulse width of the reflected wave related to the region of interest is the reflection related to the peripheral region And a noise determination unit that determines that the region of interest is noise when the wave width is larger than the pulse width.
- the noise determination unit divides the distance image into a plurality of regions, and for each of the plurality of regions, the region and a peripheral region located in a predetermined periphery with respect to the region. If the slope of the distance value between them is within a predetermined range and the pulse width of the reflected wave related to the region is larger than the pulse width of the reflected wave related to the peripheral region, the region is determined as noise.
- the noise determination unit has, for each of the plurality of pixels, a slope of a distance value between the pixel and a peripheral pixel located in a predetermined periphery with respect to the pixel is a predetermined value. If the pulse width of the reflected wave related to the pixel is within the range and is larger than the pulse width of the reflected wave related to the peripheral pixel, the pixel is determined as noise.
- the distance image processing apparatus can acquire a more accurate distance image even when a plurality of objects are arranged back and forth along the traveling direction of the transmission wave.
- the above-described distance image processing apparatus further includes a noise removal unit that sets a pixel value of a region of interest determined as noise by the noise determination unit to a predetermined noise pixel value representing noise.
- the noise pixel value is a pixel value representing distance infinity.
- Such a distance image processing apparatus further includes the noise removing unit, so that it is possible to obtain a distance image after noise removal in which the noise of the attention area determined as noise by the noise determining unit is removed.
- the pixel value of the attention area determined as noise by the noise determination unit is set as the noise in the second peripheral area located in a predetermined periphery with respect to the attention area.
- the image processing apparatus further includes a noise correction unit that sets the noise correction value obtained based on the pixel value of the area that has not been determined.
- the noise pixel value is a minimum value of pixel values of an area that is not determined as noise in the second peripheral area.
- such a distance image processing apparatus further includes the noise correction unit, the pixel value of the attention region determined as noise by the noise determination unit is not determined as noise in the second peripheral region It is possible to acquire a corrected distance image corrected with a noise correction value obtained based on the pixel value.
- the above-described range image processing apparatus further includes an edge region extraction unit that uses the region of interest determined as noise by the noise determination unit as an edge region representing an edge.
- Such a distance image processing apparatus can further extract an edge region using the attention region determined by the noise determination unit as an edge region.
- the distance image processing method transmits a predetermined pulsed transmission wave in a plurality of different directions, receives a plurality of reflected waves based on each of the plurality of transmission waves, and transmits the plurality of transmissions.
- the distance image processing program transmits a predetermined transmission wave in a pulse form in a plurality of different directions, receives a plurality of reflected waves based on each of the plurality of transmission waves, and transmits the plurality of transmissions.
- a computer having a distance image acquisition unit that acquires a distance image having a plurality of pixels corresponding to each of the plurality of directions based on a wave and the plurality of reflected waves, with a predetermined region in the distance image as a region of interest
- a slope of a distance value between the region of interest and a peripheral region located in a predetermined periphery with respect to the region of interest is within a predetermined range, and a pulse width of the reflected wave related to the region of interest is
- a distance image processing program for causing a region of interest to function as a noise determination unit that determines that the region of interest is noise when the pulse width of the reflected wave is larger than that of a surrounding region A gram.
- the recording medium on which the distance image processing program according to another aspect is recorded transmits a predetermined transmission wave in a pulse shape in a plurality of different directions, and a plurality of reflected waves based on each of the plurality of transmission waves.
- a computer having a distance image acquisition unit that receives and acquires a distance image having a plurality of pixels corresponding to each of the plurality of directions based on the plurality of transmission waves and the plurality of reflected waves is provided in the distance image.
- the region is a region of interest
- the slope of the distance value between the region of interest and a peripheral region located in a predetermined periphery with respect to the region of interest is within a predetermined range
- the region related to the region of interest When the pulse width of the reflected wave is larger than the pulse width of the reflected wave related to the surrounding area, it functions as a noise determination unit that determines the region of interest as noise
- the distance image processing method and the distance image processing program can acquire a more accurate distance image even when a plurality of objects are arranged back and forth along the traveling direction of the transmission wave.
- the recording medium can provide such a distance image processing program.
- a distance image processing apparatus a distance image processing method, a distance image processing program, and a recording medium can be provided.
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Abstract
Description
Claims (7)
- 互いに異なる複数の方向へパルス状の所定の送信波をそれぞれ送信し、前記複数の送信波それぞれに基づく複数の反射波を受信し、前記複数の送信波および前記複数の反射波に基づいて、前記複数の方向それぞれに対応した複数の画素を持つ距離画像を取得する距離画像取得部と、
前記距離画像における所定の領域を注目領域とした場合に、前記注目領域と前記注目領域に対する所定の周辺に位置する周辺領域との間における距離値の傾きが所定の範囲内であって、かつ、前記注目領域に関する前記反射波のパルス幅が前記周辺領域に関する前記反射波のパルス幅より大きい場合に、前記注目領域をノイズと判定するノイズ判定部とを備える、
距離画像処理装置。 - 前記ノイズ判定部でノイズと判定された注目領域の画素値を、ノイズを表す所定のノイズ画素値に設定するノイズ除去部をさらに備える、
請求項1に記載の距離画像処理装置。 - 前記ノイズ判定部でノイズと判定された注目領域の画素値を、前記注目領域に対する所定の周辺に位置する第2周辺領域のうちのノイズと判定されなかった領域の画素値に基づいて求めたノイズ補正値に設定するノイズ補正部をさらに備える、
請求項1に記載の距離画像処理装置。 - 前記ノイズ判定部でノイズと判定された注目領域を、エッジを表すエッジ領域とするエッジ領域抽出部をさらに備える、
請求項1ないし請求項3のいずれか1項に記載の距離画像処理装置。 - 互いに異なる複数の方向へパルス状の所定の送信波をそれぞれ送信し、前記複数の送信波それぞれに基づく複数の反射波を受信し、前記複数の送信波および前記複数の反射波に基づいて、前記複数の方向それぞれに対応した複数の画素を持つ距離画像を取得する距離画像取得工程と、
前記距離画像における所定の領域を注目領域とした場合に、前記注目領域と前記注目領域に対する所定の周辺に位置する周辺領域との間における距離値の傾きが所定の範囲内であって、かつ、前記注目領域に関する前記反射波のパルス幅が前記周辺領域に関する前記反射波のパルス幅より大きい場合に、前記注目領域をノイズと判定するノイズ判定工程とを備える、
距離画像処理方法。 - 互いに異なる複数の方向へパルス状の所定の送信波をそれぞれ送信し、前記複数の送信波それぞれに基づく複数の反射波を受信し、前記複数の送信波および前記複数の反射波に基づいて、前記複数の方向それぞれに対応した複数の画素を持つ距離画像を取得する距離画像取得部を持つコンピュータを、
前記距離画像における所定の領域を注目領域とした場合に、前記注目領域と前記注目領域に対する所定の周辺に位置する周辺領域との間における距離値の傾きが所定の範囲内であって、かつ、前記注目領域に関する前記反射波のパルス幅が前記周辺領域に関する前記反射波のパルス幅より大きい場合に、前記注目領域をノイズと判定するノイズ判定部として機能させるための距離画像処理プログラム - 互いに異なる複数の方向へパルス状の所定の送信波をそれぞれ送信し、前記複数の送信波それぞれに基づく複数の反射波を受信し、前記複数の送信波および前記複数の反射波に基づいて、前記複数の方向それぞれに対応した複数の画素を持つ距離画像を取得する距離画像取得部を持つコンピュータを、
前記距離画像における所定の領域を注目領域とした場合に、前記注目領域と前記注目領域に対する所定の周辺に位置する周辺領域との間における距離値の傾きが所定の範囲内であって、かつ、前記注目領域に関する前記反射波のパルス幅が前記周辺領域に関する前記反射波のパルス幅より大きい場合に、前記注目領域をノイズと判定するノイズ判定部として機能させるための距離画像処理プログラムを記録した記録媒体。
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Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2018063221A (ja) * | 2016-10-14 | 2018-04-19 | 富士通株式会社 | 距離測定装置、距離測定方法及びプログラム |
JP2018151315A (ja) * | 2017-03-14 | 2018-09-27 | 本田技研工業株式会社 | レーザ式測距装置のノイズデータの特定方法 |
JP2019028039A (ja) * | 2017-08-03 | 2019-02-21 | 株式会社リコー | 距離測定装置及び距離測定方法 |
JP2019035690A (ja) * | 2017-08-18 | 2019-03-07 | 株式会社リコー | 物体検出装置、センシング装置、移動体装置及び物体検出方法 |
JP2021135061A (ja) * | 2020-02-21 | 2021-09-13 | Jrcモビリティ株式会社 | 3次元情報推定システム、3次元情報推定方法、及びコンピュータが実行可能なプログラム |
Families Citing this family (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US11158120B1 (en) * | 2020-11-18 | 2021-10-26 | Motional Ad Llc | Ghost point filtering |
CN113687429B (zh) * | 2021-08-30 | 2023-07-04 | 四川启睿克科技有限公司 | 一种确定毫米波雷达监测区域边界的装置及方法 |
CN116203574B (zh) * | 2023-05-04 | 2023-07-28 | 天津宜科自动化股份有限公司 | 一种检测物体距离的数据处理系统 |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH06109842A (ja) * | 1992-09-24 | 1994-04-22 | Mazda Motor Corp | 距離検出装置 |
JP2002311138A (ja) * | 2001-04-06 | 2002-10-23 | Mitsubishi Electric Corp | 車両用測距装置 |
US20090135405A1 (en) * | 2005-09-30 | 2009-05-28 | Marc Fischer | Device and Method for Recording Distance-Measuring Images |
WO2011078264A1 (ja) * | 2009-12-25 | 2011-06-30 | 本田技研工業株式会社 | 画像処理装置、画像処理方法、コンピュータプログラム及び移動体 |
JP2012068349A (ja) * | 2010-09-22 | 2012-04-05 | Nippon Signal Co Ltd:The | 光走査装置及びこれを用いた光測距装置 |
Family Cites Families (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US4561022A (en) * | 1983-08-11 | 1985-12-24 | Eastman Kodak Company | Image processing method based on processing of interrelated image gradients |
JP3522317B2 (ja) * | 1993-12-27 | 2004-04-26 | 富士重工業株式会社 | 車輌用走行案内装置 |
-
2016
- 2016-05-25 JP JP2017524765A patent/JPWO2016208318A1/ja active Pending
- 2016-05-25 EP EP16814089.5A patent/EP3315999A4/en not_active Withdrawn
- 2016-05-25 WO PCT/JP2016/065405 patent/WO2016208318A1/ja active Application Filing
- 2016-05-25 US US15/737,032 patent/US20180172830A1/en not_active Abandoned
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH06109842A (ja) * | 1992-09-24 | 1994-04-22 | Mazda Motor Corp | 距離検出装置 |
JP2002311138A (ja) * | 2001-04-06 | 2002-10-23 | Mitsubishi Electric Corp | 車両用測距装置 |
US20090135405A1 (en) * | 2005-09-30 | 2009-05-28 | Marc Fischer | Device and Method for Recording Distance-Measuring Images |
WO2011078264A1 (ja) * | 2009-12-25 | 2011-06-30 | 本田技研工業株式会社 | 画像処理装置、画像処理方法、コンピュータプログラム及び移動体 |
JP2012068349A (ja) * | 2010-09-22 | 2012-04-05 | Nippon Signal Co Ltd:The | 光走査装置及びこれを用いた光測距装置 |
Non-Patent Citations (1)
Title |
---|
See also references of EP3315999A4 * |
Cited By (8)
Publication number | Priority date | Publication date | Assignee | Title |
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JP2018063221A (ja) * | 2016-10-14 | 2018-04-19 | 富士通株式会社 | 距離測定装置、距離測定方法及びプログラム |
JP2018151315A (ja) * | 2017-03-14 | 2018-09-27 | 本田技研工業株式会社 | レーザ式測距装置のノイズデータの特定方法 |
JP2019028039A (ja) * | 2017-08-03 | 2019-02-21 | 株式会社リコー | 距離測定装置及び距離測定方法 |
JP7005994B2 (ja) | 2017-08-03 | 2022-01-24 | 株式会社リコー | 距離測定装置及び距離測定方法 |
JP2019035690A (ja) * | 2017-08-18 | 2019-03-07 | 株式会社リコー | 物体検出装置、センシング装置、移動体装置及び物体検出方法 |
US11150345B2 (en) | 2017-08-18 | 2021-10-19 | Ricoh Company, Ltd. | Object detector, sensing device, and mobile object apparatus |
JP2021135061A (ja) * | 2020-02-21 | 2021-09-13 | Jrcモビリティ株式会社 | 3次元情報推定システム、3次元情報推定方法、及びコンピュータが実行可能なプログラム |
JP7461160B2 (ja) | 2020-02-21 | 2024-04-03 | Jrcモビリティ株式会社 | 3次元情報推定システム、3次元情報推定方法、及びコンピュータが実行可能なプログラム |
Also Published As
Publication number | Publication date |
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JPWO2016208318A1 (ja) | 2018-04-19 |
EP3315999A4 (en) | 2018-06-20 |
EP3315999A1 (en) | 2018-05-02 |
US20180172830A1 (en) | 2018-06-21 |
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