GB2600093A - A method for capturing an image of the surroundings of a motor vehicle by an assistance system of the motor vehicle - Google Patents

A method for capturing an image of the surroundings of a motor vehicle by an assistance system of the motor vehicle Download PDF

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Publication number
GB2600093A
GB2600093A GB2016260.8A GB202016260A GB2600093A GB 2600093 A GB2600093 A GB 2600093A GB 202016260 A GB202016260 A GB 202016260A GB 2600093 A GB2600093 A GB 2600093A
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United Kingdom
Prior art keywords
image
assistance system
motor vehicle
surroundings
computing device
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Withdrawn
Application number
GB2016260.8A
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GB202016260D0 (en
Inventor
Eigenmann Anna
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Mercedes Benz Group AG
Original Assignee
Daimler AG
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Daimler AG filed Critical Daimler AG
Priority to GB2016260.8A priority Critical patent/GB2600093A/en
Publication of GB202016260D0 publication Critical patent/GB202016260D0/en
Publication of GB2600093A publication Critical patent/GB2600093A/en
Withdrawn legal-status Critical Current

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Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00—Television systems
    • H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
    • H04N7/188—Capturing isolated or intermittent images triggered by the occurrence of a predetermined event, e.g. an object reaching a predetermined position
    • G—PHYSICS
    • G03—PHOTOGRAPHY; CINEMATOGRAPHY; ANALOGOUS TECHNIQUES USING WAVES OTHER THAN OPTICAL WAVES; ELECTROGRAPHY; HOLOGRAPHY
    • G03B—APPARATUS OR ARRANGEMENTS FOR TAKING PHOTOGRAPHS OR FOR PROJECTING OR VIEWING THEM; APPARATUS OR ARRANGEMENTS EMPLOYING ANALOGOUS TECHNIQUES USING WAVES OTHER THAN OPTICAL WAVES; ACCESSORIES THEREFOR
    • G03B17/00—Details of cameras or camera bodies; Accessories therefor
    • G03B17/38—Releasing-devices separate from shutter
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
    • B60R1/00—Optical viewing arrangements; 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/16—Sound input; Sound output
    • G06F3/167—Audio in a user interface, e.g. using voice commands for navigating, audio feedback
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/60—Control of cameras or camera modules
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/60—Control of cameras or camera modules
    • H04N23/66—Remote control of cameras or camera parts, e.g. by remote control devices
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/60—Control of cameras or camera modules
    • H04N23/698—Control of cameras or camera modules for achieving an enlarged field of view, e.g. panoramic image capture
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/90—Arrangement of cameras or camera modules, e.g. multiple cameras in TV studios or sports stadiums
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00—Television systems
    • H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
    • B60R2300/00—Details of viewing arrangements using cameras and displays, specially adapted for use in a vehicle
    • B60R2300/60—Details of viewing arrangements using cameras and displays, specially adapted for use in a vehicle characterised by monitoring and displaying vehicle exterior scenes from a transformed perspective
    • B60R2300/602—Details of viewing arrangements using cameras and displays, specially adapted for use in a vehicle characterised by monitoring and displaying vehicle exterior scenes from a transformed perspective with an adjustable viewpoint
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
    • B60R2300/00—Details of viewing arrangements using cameras and displays, specially adapted for use in a vehicle
    • B60R2300/70—Details of viewing arrangements using cameras and displays, specially adapted for use in a vehicle characterised by an event-triggered choice to display a specific image among a selection of captured images
    • G—PHYSICS
    • G03—PHOTOGRAPHY; CINEMATOGRAPHY; ANALOGOUS TECHNIQUES USING WAVES OTHER THAN OPTICAL WAVES; ELECTROGRAPHY; HOLOGRAPHY
    • G03B—APPARATUS OR ARRANGEMENTS FOR TAKING PHOTOGRAPHS OR FOR PROJECTING OR VIEWING THEM; APPARATUS OR ARRANGEMENTS EMPLOYING ANALOGOUS TECHNIQUES USING WAVES OTHER THAN OPTICAL WAVES; ACCESSORIES THEREFOR
    • G03B37/00—Panoramic or wide-screen photography; Photographing extended surfaces, e.g. for surveying; Photographing internal surfaces, e.g. of pipe
    • G03B37/04—Panoramic or wide-screen photography; Photographing extended surfaces, e.g. for surveying; Photographing internal surfaces, e.g. of pipe with cameras or projectors providing touching or overlapping fields of view

Landscapes

  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Human Computer Interaction (AREA)
  • General Engineering & Computer Science (AREA)
  • General Health & Medical Sciences (AREA)
  • Audiology, Speech & Language Pathology (AREA)
  • Mechanical Engineering (AREA)
  • Studio Devices (AREA)
  • Closed-Circuit Television Systems (AREA)
  • Traffic Control Systems (AREA)

Abstract

Image capture suitable for the surroundings 16 of a vehicle and a vehicle assistance system 12 where a voice command 26 given by a person inside the motor vehicle is detected by a microphone of the assistance system and an electronic computing device 18 of the assistance system analyses the voice command. Depending on the analysed voice command an image 14 of the surroundings is captured by at least one camera 22, 24 of the assistance system. The voice command is analysed by a machine learning algorithm 30 of the electronic computing device so that the electronic computing device controls the camera to capture a section 32 of the surroundings mentioned in the voice command. A plurality of cameras of the assistance system may capture a plurality of images of the surroundings and the electronic computing device select the image including the mentioned section. After the image of the mentioned section has been selected by the electronic computing device, the camera may capture a further image of the same section. The image may be transmitted to a storage device 34 or displayed on a display 36. An assistance system of a motor vehicle may perform the above described image capturing.

Description

A METHOD FOR CAPTURING AN IMAGE OF THE SURROUNDINGS OF A MOTOR VEHICLE BY AN ASSISTANCE SYSTEM OF THE MOTOR VEHICLE AS WELL AS A CORRESPONDING ASSISTANCE SYSTEM
FIELD OF THE INVENTION
[0001] The invention relates to the field of automobiles. More specifically, the invention relates to a method for capturing an image of the surroundings of a motor vehicle by an assistance system of the motor vehicle as well as to a corresponding assistance system.
BACKGROUND INFORMATION
[0002] In the state of the art it is known that when a person drives a motor vehicle, the person is busy concentrating on driving or otherwise occupied and therefore is not able to take a picture of the surroundings of the motor vehicle.
[0003] WO 2017 093439 Al relates to a control device for an image capture apparatus, comprising an input for receiving a voice instruction given by a user, and an output for providing the said voice instruction in the form of a control instruction to the image capture apparatus and an input for receiving an information feedback from the image capture apparatus, and an output for providing the said information feedback in the form of a voice response to the user, and characterized in that the image capture apparatus is a camera and in that the said information feedback makes it possible to provide information on the state of execution of the control instruction.
[0004] There is a need in the art to provide an assistance system, by which a person in a motor vehicle may capture an image of the surroundings of the motor vehicle in an easy and safe way, even when busy concentrating on the driving or otherwise occupied.
SUMMARY OF THE INVENTION
[0005] It is an object of the invention to provide a method as well as an assistance system, by which a person in a motor vehicle may capture an image of the surroundings of the motor vehicle in an easy and safe way.
[0006] This object is solved by the method as well as a corresponding assistance system according to the independent claims. Advantageous embodiments are presented in the dependent claims.
[0007] One aspect of the invention relates to a method for capturing an image of the surroundings of a motor vehicle by an assistance system of the motor vehicle, wherein a voice command of a person inside the motor vehicle is detected by a microphone of the assistance system and an electronic computing device of the assistance system analyzes the voice command and depending on the analyzed voice command the picture of the surroundings of the motor vehicle is captured by at least one camera of the assistance system.
[0008] In an embodiment, the voice command is analyzed by a machine learning algorithm of the electronic computing device, wherein the machine learning algorithm is additionally configured in such a way that the electronic computing device controls the camera in such a way that the camera captures a section of the surroundings mentioned in the voice command.
[0009] According to this embodiment, the problem of capturing an image while a person is driving or being otherwise occupied in the motor vehicle is solved. Using a voice command to capture an image allows the person or the user to safely capture moments even when concentrating on the traffic. A special voice command allows the user to not only capture an image of a random view by a static camera frame, but rather to focus the camera by voice command on specific objects, areas, and directions as desired.
[0010] In an embodiment, a plurality of cameras of the assistance system are capturing a plurality of images of the surroundings and depending on the mentioned section the electronic computing device is configured to select the image which includes the mentioned section.
[0011] In another embodiment, after the image has been selected by the electronic computing device, the camera which captured the selected image takes a further image of the same section.
[0012] According to another embodiment, the image is transmitted to a storage device of the assistance system and/or the image is displayed on a display device of the assistance system.
[0013] In another embodiment, the machine learning algorithm is a trained deep learning algorithm.
[0014] Another aspect of the invention is related to an assistance system of a motor vehicle for capturing an image of the surroundings of the motor vehicle, wherein the assistance system comprises at least one electronic computing device, one microphone, and at least one camera, wherein the assistance system is configured to perform a method according to the preceding aspect.
[0015] A still further aspect of the invention is related to a motor vehicle with an assistance system according to the preceding aspect.
[0016] Advantageous forms of the method are to be regarded as advantageous forms of the assistance system as well as of the motor vehicle. The assistance system as well as the motor vehicle comprises thereof means for performing the method.
[0017] Further advantages, features, and details of the invention derive from the following description of a preferred embodiment as well as from the drawing. The features and feature combinations previously mentioned in the description as well as the features and feature combinations mentioned in the following description of the figure and/or shown in the figure alone can be employed not only in the respectively indicated combination but also in any other combination or taken alone without leaving the scope of the invention.
BRIEF DESCRIPTION OF THE DRAWINGS
[0018] The novel features and characteristics of the disclosure are set forth in the independent claims. The accompanying drawing, which is incorporated in and constitutes part of this disclosure, illustrates an exemplary embodiment and together with the description, serves to explain the disclosed principles. In the figure, the same reference signs are used throughout the figure to refer to identical features and components. Some embodiments of the system and/or methods in accordance with embodiments of the present subject matter are now described below, by way of example only, and with reference to the accompanying figure.
[0019] The drawing shows in Fig. 1 a schematic side view of an embodiment of a motor vehicle with an embodiment of an assistance system.
[0020] In the figure same elements or elements having the same function are indicated by the same reference signs.
DETAILED DESCRIPTION
[0021] In the present document, the word "exemplary" is used herein to mean "serving as an example, instance, or illustration." Any embodiment or implementation of the present subject matter described herein as "exemplary" is not necessarily to be construed as preferred or advantageous over other embodiments.
[0022] While the disclosure is susceptible to various modifications and alternative forms, specific embodiment thereof have been shown by way of example in the drawing and will be described in detail below. It should be understood, however, that it is not intended to limit the disclosure to the particular form disclosed, but on the contrary, the disclosure is to cover all modifications, equivalents, and alternatives falling within the scope of the disclosure.
[0023] The terms "comprises', "comprising", or any other variations thereof, are intended to cover a non-exclusive inclusion so that a setup, device or method that comprises a list of components or steps does not include only those components or steps but may include other components or steps not expressly listed or inherent to such setup or device or method. In other words, one or more elements in a system or apparatus preceded by "comprises" or "comprise" does not or do not, without more constraints, preclude the existence of other elements or additional elements in the system or method.
[0024] In the following detailed description of the embodiment of the disclosure, reference is made to the accompanying drawing that forms part hereof, and in which is shown by way of illustration a specific embodiment in which the disclosure may be practiced. This embodiment is described in sufficient detail to enable those skilled in the art to practice the disclosure, and it is to be understood that other embodiments may be utilized and that changes may be made without departing from the scope of the present disclosure. The following description is, therefore, not to be taken in a limiting sense.
[0025] Fig. 1 shows a schematic side view of a motor vehicle 10 with an embodiment of an assistance system 12. The assistance system 12 of the motor vehicle 10 is configured to capture an image 14 of the surroundings 16 of the motor vehicle 10, wherein the assistance system 12 comprises at least one electronic computing device 18, one microphone 20, and at least one camera 22, 24. In this embodiment, the assistance system 12 comprises two cameras 22, 24, in particular a first camera 22 and a second camera 24.
[0026] The assistance system 12 is configured to perform a method for capturing an image 14 of the surroundings 16, wherein a voice command 26 of a person 28 inside the motor vehicle 10 is detected by the microphone 20. Then, the electronic computing device 18 analyzes the voice command 26 and depending on the analyzed voice command 26 the image 14 of the surroundings 16 is captured by the at least one camera 22, 24 of the assistance system 12.
[0027] In an embodiment the voice command 26 is analyzed by a machine learning algorithm 30 of the electronic computing device 18, such that the electronic computing device 18 controls the camera 22, 24 in such a way that the camera 22, 24 captures a section 32 mentioned in the voice command 26 of the entire surroundings 16.
[0028] In an embodiment a plurality of cameras 22, 24 of the assistance system 12 are capturing a plurality of images 14 of the surroundings 16 and depending on the section 32 mentioned in the voice command, the electronic computing device 18 is configured to select the image 14, which includes the mentioned section 32. Furthermore, after the image 14 has been selected by the electronic computing device, the camera 20, 24 which captured the selected image 14 takes a further image 14 of the same section 32. In another embodiment, the image 14 may be transmitted to a storage device 34 of the assistance system 12 and/or the image 14 is displayed on a display device 36 of the assistance system 12. Alternatively, the image 14 may be stored in a cloud system backend.
[0029] The machine learning algorithm 30 may be, in particular, a trained deep learning algorithm.
[0030] In a specific embodiment and as shown in Fig. 1, two areas of machine learning, namely voice recognition and computer vision, are combined. The image 14 is captured by the voice command 26, which may be for example "take a picture of the sunset". Accordingly, in the shown embodiment the sunset is the section 32 selected by the user for a picture to be taken of.
[0031] In a way similar to existing voice assisting models, the voice recognition model analyzes the sentence and recognizes it as belonging to the "picture-taking" domain, with the additional input to focus on the sunset. The voice command 26 is passed through the machine learning algorithm 30 that runs on the electronic computing device 18. The electronic computing device 18 may be a microservice in the cloud or a built-in server in the motor vehicle 10. The service is connected to several on-board cameras 20, 24 may be built into the motor vehicle 10 for capturing the surroundings 16. For instance, if the person 28 is asking the camera to take a picture, for example "take a picture", without adding specifying extra commands. In this case, the first camera 22 captures the image 14 and sends it to the storage device 34. The storage device 34 may be accessed by logging into a website, an application or possibly even by using the motor vehicle 10, for example the display device 36 of the motor vehicle 10.
[0032] In another example, the person 28 wants to take an image 14 of the section 32. For example, the voice command 26 is "take a picture of the sunset". In this case, the first camera 22 and the second camera 24 each capture an image 14 and send the captured images 14 to the application, where they are scanned for the requested focus object, in this example the sunset, using image detection. To perform the image detection, the trained deep learning algorithm, which may be built with a convolutional neural network that has been trained on the most common focus word, for example "sunset", "sea" or "licence plate", is used. Once, the section 32 has been detected, the high probability area of the image 14 is cut out and sent to the storage device 34.
[0033] In an embodiment, an extra step could be recapturing the image 14 with computed coordinates of the section 32 in question. The quality may be improved by first focusing the camera 22, 24 on the section 32 and then capturing the image 14, in this case, movements during the computing process may be taken into consideration.
[0034] In another embodiment, the voice assistance may give feedback at the end of the session. lithe focus object/section 32 was not found or any other problems have occurred, the voice assistance provides the person 28 with this feedback.
[0035] The invention makes it easier for the person 28 to take images 14 while driving, which in turn increases the safety of the person 28, who may be a driver of the motor vehicle 10, by preventing that the person is distracted by the picture taking, which might lead to risky situations or accidents.
Reference Signs motor vehicle 12 assistance system 14 picture 16 surroundings 18 electronic computing device microphone 22 first camera 24 second camera 26 voice command 28 person machine learning algorithm 32 section 34 storage device 36 display device

Claims (6)

  1. CLAIMS1. A method for capturing an image (14) of the surroundings (16) of a motor vehicle (10) by an assistance system (12) of the motor vehicle (10), wherein a voice command (26) given by a person (28) inside the motor vehicle (10) is detected by a microphone (20) of the assistance system (12) and an electronic computing device (18) of the assistance system (12) analyzes the voice command (26) and depending on the analyzed voice command (26) the image (14) of the surroundings (16) is captured by at least one camera (22, 24) of the assistance system (12), characterized in that the voice command (26) is analyzed by a machine learning algorithm (30) of the electronic computing device (18), wherein the machine learning algorithm (30) is additionally configured in such a way that the electronic computing device (18) controls the camera (22, 24) in such a way that the camera (22,24) captures a section (32) of the surroundings (16) mentioned in the voice command (26).
  2. 2. The method according to claim 1, characterized in that a plurality of cameras (22, 24) of the assistance system (12) capture a plurality of images (14) of the surroundings (16) and depending on the mentioned section (32) the electronic computing device (18) is configured to select the image (14) which includes the mentioned section (32).
  3. 3. The method according to claim 2, characterized in that after the image (14) has been selected by the electronic computing device (18), the camera (22, 24) which captured the selected image (14) captures a further image (14) of the same section (32).
  4. 4. The method according to any one of claims 1 to 3, characterized in that the image (14) is transmitted to a storage device (34) of the assistance system (12) and/or the image (14) is displayed on a display device (36) of the assistance system (12).
  5. 5. The method according to any one of claims 1 to 4, characterized in that the machine learning algorithm (30) is a trained deep learning algorithm.
  6. 6. An assistance system (12) of a motor vehicle (10) for capturing an image (14) of the surroundings (16) of the motor vehicle (10), wherein the assistance system (12) comprises at least an electronic computing device (18), a microphone (20), and a camera (22, 24), wherein the assistance system (12) is configured to perform a method according to any one of claims 1 to 5.
GB2016260.8A 2020-10-14 2020-10-14 A method for capturing an image of the surroundings of a motor vehicle by an assistance system of the motor vehicle Withdrawn GB2600093A (en)

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GB2016260.8A GB2600093A (en) 2020-10-14 2020-10-14 A method for capturing an image of the surroundings of a motor vehicle by an assistance system of the motor vehicle

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GB2016260.8A GB2600093A (en) 2020-10-14 2020-10-14 A method for capturing an image of the surroundings of a motor vehicle by an assistance system of the motor vehicle

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GB2600093A true GB2600093A (en) 2022-04-27

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Citations (7)

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JPH11327030A (en) * 1998-05-15 1999-11-26 Canon Inc Device and method for controlling camera and storage medium
US6917693B1 (en) * 1999-12-20 2005-07-12 Ford Global Technologies, Llc Vehicle data acquisition and display assembly
US20090157738A1 (en) * 2007-12-14 2009-06-18 Lection David B Methods, Systems, And Computer Readable Media For Controlling Presentation And Selection Of Objects That Are Digital Images Depicting Subjects
JP2010034841A (en) * 2008-07-29 2010-02-12 Canon Inc Information processing method, information processing apparatus, program, and storage medium
CN202872910U (en) * 2012-11-14 2013-04-10 广东欧珀移动通信有限公司 Mobile terminal for photographing based on speech recognition
US20170374266A1 (en) * 2016-06-22 2017-12-28 International Business Machines Corporation Controlling a camera using a voice command and image recognition
KR20180018017A (en) * 2016-08-12 2018-02-21 엘지전자 주식회사 Mobile terminal and operating method thereof

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH11327030A (en) * 1998-05-15 1999-11-26 Canon Inc Device and method for controlling camera and storage medium
US6917693B1 (en) * 1999-12-20 2005-07-12 Ford Global Technologies, Llc Vehicle data acquisition and display assembly
US20090157738A1 (en) * 2007-12-14 2009-06-18 Lection David B Methods, Systems, And Computer Readable Media For Controlling Presentation And Selection Of Objects That Are Digital Images Depicting Subjects
JP2010034841A (en) * 2008-07-29 2010-02-12 Canon Inc Information processing method, information processing apparatus, program, and storage medium
CN202872910U (en) * 2012-11-14 2013-04-10 广东欧珀移动通信有限公司 Mobile terminal for photographing based on speech recognition
US20170374266A1 (en) * 2016-06-22 2017-12-28 International Business Machines Corporation Controlling a camera using a voice command and image recognition
KR20180018017A (en) * 2016-08-12 2018-02-21 엘지전자 주식회사 Mobile terminal and operating method thereof

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