Communication method, in the event of detection of an attack on a motor vehicle, associated device and vehicle.

Abstract

Communication method, implemented in a motor vehicle (100) characterized in that it comprises the following first steps: Detection of an attack on the motor vehicle (100) from first data received from a first sensor (140) of the motor vehicle (100), andDetermination of security information from second data received from a second sensor (131, 132) of the motor vehicle (100),Upon detection of the attack on the motor vehicle (100), initiation of a voice communication session with a human operator (210) of a security center (200), thenReception of a voice question pronounced by the human operator (210), in the voice communication session,Determination of a voice response to the voice question from the security information, thenTransmission of the voice response in the voice communication session. Figure for abstract: figure 1

Description

Title of the invention: Communication method, in the event of detection of an attack on a motor vehicle, associated device and vehicle.

[0001] The invention relates to the securing of motor vehicles.

[0002] There is a need to improve the measures taken when an attack on a vehicle is detected by these vehicles.

[0003] For this purpose, the invention relates to a communication method, implemented in a motor vehicle characterized in that it comprises the following first steps: - Detection of an attack on the motor vehicle (in other words: a malicious act on the motor vehicle, or an attack on the integrity of the motor vehicle) from first data received from a first sensor of the motor vehicle, and - Determination of safety information from second data received from a second sensor of the motor vehicle (prior to the step of determining a voice response). - Upon detection of damage to the motor vehicle (in other words, following detection of damage to the motor vehicle), initiation of a voice communication session (via a radiofrequency communication network, and for example a radiofrequency communication module of the motor vehicle) with a human operator of a security center (for example, a police emergency center), then - Reception (via a radio frequency communication network, and for example a radio frequency communication module of the motor vehicle) of a voice question spoken by the human operator, in the voice communication session (in other words: during or during the voice communication session, or within the voice communication), then - Determining a voice response to the voice question from the security information, then - Transmission (via a radiofrequency communication network, and for example a radiofrequency communication module of the motor vehicle) of the voice response to the voice question, in the voice communication session (in other words: during or throughout the voice communication session, or within the voice communication) to the human operator.

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[0012] Thanks to the invention, the human operator of a security center can obtain the security information that he considers useful, simply by pronouncing the voice question, and thus receive, with great ease and simplicity, the information useful for intervening, when the driver (or owner) of the motor vehicle is not present or conscious. For example, the method comprises repeating the following steps (for different voice questions and / or different voice responses); - Receiving the voice question, then - Determination of the vocal response, then - The emission of the voice response, - And possibly, the repetition of the security information. For example, determining the voice response includes a step of synthesizing the voice response, directly from the voice question or from a first text obtained from the voice question (or from a first text obtained from a second text itself obtained from the voice question, by voice recognition). The communication session is, for example, a telephone call, but other types of voice communications are of course possible (for example, voice over IP). For example, damage to a motor vehicle is: - Theft or attempted theft, or - An act of vandalism on the motor vehicle. Preferably: - The detection of damage to the motor vehicle takes place while the motor vehicle is locked (and / or stopped and / or parked) and / or, - All of the first steps take place while the motor vehicle is locked (and / or stopped and / or parked). Alternatively, the detection of the injury takes place while the motor vehicle is involved in a traffic accident. The step of detecting an attack on the motor vehicle may comprise, in a conventional manner in the automotive field today, the implementation of an artificial intelligence model, for example an artificial neural network detecting the attack on the motor vehicle (and possibly producing the security information) from first data received from a first sensor of the motor vehicle. As is well known, such an artificial intelligence model can be trained, prior to the first steps, from (first) data obtained during motor vehicle tests or vehicle operation simulations. automobile, the (first) data being labeled by an expected output of the neural network.

[0013] As a variant or in combination, of course, the detection of damage to the motor vehicle may include a step of verifying whether the first data satisfy a criterion (for example, being below a threshold), the damage to the motor vehicle being detected if the criterion is respected (or for example, if it is not respected).

[0014] The same applies to the step of determining the security information. This step may include: An implementation of an artificial intelligence model, for example an artificial neural network, determining the safety information from the second data, (the neural network being able to be trained, prior to the first steps from (second) data obtained during motor vehicle tests or simulations of motor vehicle operation, the (second) data being labeled with the expected safety information) and / or A check whether the first data meets a criterion (for example, being below a threshold), the security information being determined from whether or not the criterion is met.

[0015] The security information can be determined before the step of receiving the voice question or after the step of receiving the voice question, for example from the voice question, which can for example determine the second sensor (the second sensor can, in this case, be activated upon receipt of the voice question).

[0016] Recently, voice assistants (also called conversational agents) have appeared in motor vehicles, for example in motor vehicles of the brand "DS automobiles" or of the brand "mercedes-benz". Such voice assistants are capable of controlling functions of the motor vehicle (such as a display of the remaining fuel range, programming a journey, initiating a telephone call). Thus, it will clearly appear that the person skilled in the art can design or adapt such a voice assistant to implement: Receiving the voice question, and / or Determining the vocal response, and / or Emitting the vocal response.

[0017] More generally, these steps can be implemented by a voice assistant or another type of artificial intelligence model.

[0018] The voice assistant can thus use the so-called “ChatGPT” technology.

[0019] Of course, the voice assistant can be trained prior to the first steps from questions formulated during motor vehicle tests or motor vehicle operation simulations (including sessions of voice communication), the first data being labeled by an expected voice response.

[0020] According to one embodiment, the method according to the invention comprises, upon detection of the attack on the motor vehicle (in other words: following the detection of the attack on the motor vehicle): - A determination of the geographical location of the motor vehicle, then - A determination of a voice message from the geographic location, then - A transmission (, via the radiofrequency communication module,), of the voice message, in the voice communication session (in other words: during the voice communication session or within the voice communication) (to the human operator).

[0021] According to one embodiment, the geographic location is a postal address obtained from: - Geographic coordinates (including latitude, longitude and possibly elevation) of the motor vehicle, from a satellite geolocation module of the vehicle, - A road map, for example in memory of the motor vehicle.

[0022] According to one embodiment, the communication method comprises, upon detection of the attack on the motor vehicle (in other words: following the detection of the attack on the motor vehicle), a step of sending an alert text message (for example an instant messaging message, for example of the so-called “SMS” type or via the application called “WhatsApp”), via a radiofrequency network (for example, a mobile telephone network or alternatively via a so-called “V2X” communication), for example to a mobile telephone (for example of the owner of the motor vehicle).

[0023] According to one embodiment, the method comprises, upon detection of the attack on the motor vehicle (in other words: following the detection of the attack on the motor vehicle), a step of activating a location tracker (also commonly called a vehicle tracker) of the motor vehicle.

[0024] A location tracker repeats sendings of geographic coordinates of the motor vehicle, for example to a server, to enable the location of the motor vehicle to be known over time, for example.

[0025] According to one embodiment, the detection of the attack on the motor vehicle is a detection of a break-in of the motor vehicle or a detection of an intrusion into the motor vehicle.

[0026] Detection of a break-in of a motor vehicle and detection of an intrusion in a motor vehicle are well known to those skilled in the art, and may implement various types of first sensor. For example; - The first sensor is an accelerometer, and in a known manner, the step of detecting a break-in of the motor vehicle detects a breakage of one of the windows of the motor vehicle from data received from the accelerometer (characteristics of a breakage of the window), and / or - The first sensor is a presence detector (for example ultrasonic), and in a known manner, the step of detecting an intrusion into the motor vehicle detects a presence in the motor vehicle from data received from the presence detector.

[0027] Alternatively, the detection of damage to the motor vehicle detects movement of the motor vehicle or an impact. The first sensor is, for example, in this case, an accelerometer.

[0028] The detection of damage to the motor vehicle may in particular be a detection of a lifting of the motor vehicle. The first sensor is, for example, in this case, a tilt sensor.

[0029] According to another variant, the detection of damage to the motor vehicle detects vandalism on the vehicle, for example: - A fire starts in the motor vehicle. The first sensor is, for example, a thermal sensor of the motor vehicle or a thermal camera in the motor vehicle, or - A fire in the immediate vicinity of the vehicle. The first sensor is, for example, in this case, an image sensor of the motor vehicle, for example a thermal camera, filming the exterior of the motor vehicle (and in this case, the first data are images).

[0030] Alternatively, the first sensor is a microphone and the first data is a sound from inside or outside the motor vehicle.

[0031] According to one embodiment, the first sensor and the second sensor are identical and an implementation of the step of detecting an attack on the motor vehicle produces the security information.

[0032] Alternatively, the step of detecting an attack on the motor vehicle does not produce the security information.

[0033] According to one embodiment, the second sensor is different from the first sensor.

[0034] For example, the second sensor is an image sensor, for example a sensor video image sensor (i.e., a camera) or a radar image sensor, and in this case, the first data is images. Alternatively, the second sensor is a laser remote sensor (also called "LiDAR") or a microphone.

[0035] For example, the security information indicates the presence of people, for example in the case where the second sensor is an image sensor of the motor vehicle, for example from images of an interior of the motor vehicle and / or an exterior of the motor vehicle.

[0036] According to a variant, the safety information indicates that the motor vehicle is in a street (or not), for example in the case where the second sensor is an image sensor (of an exterior) of the motor vehicle.

[0037] According to a variant, the second sensor is a microphone.

[0038] The invention also relates to a computer program comprising instructions executable by a microprocessor or a microcontroller or a computer, to implement the steps of the method according to the invention, when it is executed by the microprocessor or the microcontroller or the computer.

[0039] The method according to the invention can be implemented by an electronic device (or a motor vehicle). The invention therefore also relates to an electronic device (or a motor vehicle) configured to implement the steps of the method according to the invention, as well as a motor vehicle comprising the electronic device.

[0040] The characteristics and advantages of the computer program, the electronic device, and the vehicle are identical to those of the method according to the invention (without it being necessary to repeat them here).

[0041] When the electronic device, motor vehicle, projection device (or other element) is "configured to" (or "capable of") performing or implementing a step or operation, this implies, for example, that the element comprises means for performing the step or operation. The means preferably comprise electronic means, for example a computer program, data in memory, specialized electronic circuits, wired or wireless connections, a microprocessor and / or a microcontroller.

[0042] Other characteristics and advantages of the present invention will appear more clearly on reading the detailed description which follows, comprising embodiments of the invention given as non-limiting examples and illustrated by the appended drawings, in which: • [Fig.l] represents an electronic device and a motor vehicle according to an embodiment of the invention, • [Fig.2] represents an implementation of the method according to the invention, according to a example of embodiment, by the electronic device and the motor vehicle of [Fig.l].

[0043] Detailed description of an exemplary embodiment of the invention, with reference to figures 1 and 2.

[0044] [Fig.l] represents, in a vehicle 100 which is a motor vehicle.

[0045] The vehicle 100 comprises a microprocessor 110 to which the following electronic components of the motor vehicle 100 are connected (for example by a data bus): - A 120 satellite geolocation module, - A camera 132, capable of filming the exterior of the vehicle 100, - A 140 accelerometer, - A radio frequency communication module 160 (capable of communicating with the mobile telephone network 500), and - A 170 vehicle tracker.

[0046] With reference to step S00, while an individual 300 breaks the window 150 of the vehicle 100, the microprocessor 110 detects that a window is broken, in a manner known to those skilled in the art, from data from the accelerometer 140 showing a particular motion signature. The vehicle 100 is parked on a street and is locked.

[0047] In step S10, the microprocessor 110 sends an alert message to a mobile telephone of the owner of the motor vehicle, via the radiofrequency communication module 160 and the mobile telephone network 500, to warn him of a malicious act in progress on this vehicle. The alert message may be of the so-called “SMS” type and include the following text: “A malicious act has been detected on your vehicle. The police are being called immediately.”

[0048] In step S20, the microprocessor 110 activates the vehicle tracker 170.

[0049] In step S30, the microprocessor 110 initiates a telephone call by via the radio frequency communication module 160 and a mobile telephone network 500, with the (human) operator 210 of the police call center 200 (for example by dialing an emergency number).

[0050] At step S40, the operator 210 responds: “Police emergency, I'm listening, what is the reason for your call”, and the microprocessor 110 receives this response via the radiofrequency communication module 160 and the mobile telephone network 500.

[0051] In step S50, the microprocessor 110 receives geographic coordinates of the vehicle 100, from a satellite geolocation module 120 of the vehicle 100.

[0052] In step S60, the microprocessor 110 determines the postal address where the vehicle 100 is parked from a road map in memory of the microprocessor 110 and the geographical coordinates of the vehicle 100. This is 3 Route de Paris in Versailles.

[0053] At step S70, the microprocessor 110 determines the following response: “Hello, I am the artificial intelligence present in the Peugeot e3008 vehicle registration XX-999-ZZ belonging to Mr or Mrs Jean Doe whose telephone number is 06 99 99 99 99. I inform you that an act of malice is in progress. course. The vehicle is located at 3 route de paris in Versailles.

[0054] This message, except for the address at the end of the message, is fixed.

[0055] In step S80, the microprocessor 110 transmits this response via the radiofrequency communication module 160 and the mobile telephone network 500.

[0056] In step S90, the operator 210 asks the following question: “very good, are the criminals still near the vehicle in question?”, and the microprocessor 110 receives this question via the radio frequency communication module 160 and the mobile telephone network 500.

[0057] In step S100, the microprocessor 110 determines from images received from the camera 132 that the individual 300 is in proximity to the vehicle 100.

[0058] In step SI 10, the microprocessor 110 then determines the following response: “Yes, an individual is present”.

[0059] In step S120, the microprocessor 110 transmits this response via the radiofrequency communication module 160 and the mobile telephone network 500.

[0060] In step S130, the operator 210 asks the following question: "is the vehicle parked on the street", and the microprocessor 110 receives this question via the radio frequency communication module 160 and the mobile telephone network 500.

[0061] In step S140, the microprocessor 110 determines from images received from the camera 132 that the vehicle 100 is parked on a street.

[0062] In step S150, the microprocessor 110 then determines the following response: “Yes, it is parked on the street”.

[0063] In step S160, the microprocessor 110 transmits this response via the radio frequency communication module 160 and the mobile telephone network 500.

[0064] In step S170, the operator 210 asks the following question: “Is an individual present in the vehicle”, and the microprocessor 110 receives this question via the radio frequency communication module 160 and the mobile telephone network 500.

[0065] In step S180, the microprocessor 110 determines, from data received from the ultrasonic detector 131 of the vehicle 100, that no person is present in the vehicle 100. The implementation of such a step is of course conventional in the automotive field.

[0066] In step S190, the microprocessor 110 then determines the following response: “No, no one is present in the vehicle”.

[0067] At step S200, operator 210 concludes the telephone call with the following sentence: “We are immediately sending a police vehicle to the scene.”

[0068] In step S210, the operator 210 then ends the telephone call initiated in step S30.

[0069] Steps Steps S100 and S140 may be implemented by networks of Artificial neurons trained from images. Such neural networks, for performing various recognition and detection tasks, are now well known and mastered in the automotive field.

[0070] According to a variant, in step S00, the microprocessor 110 detects an intrusion into the vehicle 100 from data received from the ultrasonic detector 131.

[0071] Steps S00 to S210 may be implemented by a computer program when executed by the microprocessor 210, for example.

[0072] Alternatively, steps S00 to S210 may be implemented by a set of electronic circuits, comprising for example integrated circuits specific to an application.

Claims

Claims

1. Communication method, implemented in a motor vehicle (100) characterized in that it comprises the following first steps: - Detection (S00) of an attack on the motor vehicle (100) from first data received from a first sensor (140) of the motor vehicle (100), and - Determination of security information (S 100, S140) from second data received from a second sensor (131, 132) of the motor vehicle (100), - Upon detection (S00) of the attack on the motor vehicle (100), initiation of a voice communication session with a human operator (210) of a security center (200), then - Reception (S90, S130) of a voice question pronounced by the human operator (210), in the voice communication session, - Determination of a voice response (S10, S150) to the voice question from the security information, then - Issue of the voice response (S 120,S160) in the voice communication session.,

2. Communication method according to claim 1, comprising the following steps, upon detection (S00) of the attack on the motor vehicle (100): - Determination of a geographical location (S60) of the motor vehicle (100), - Determination of a voice message (S70) from the geographical location, - Transmission of the voice message (S80) in the voice communication session.

3. Communication method according to any one of the preceding claims comprising, upon detection (S00) of the attack on the motor vehicle (100), a step of transmitting an alert text message (S10), via a radiofrequency network (500).

4. Communication method according to any one of the preceding claims comprising upon detection (S00) of the attack on the vehicle au- motor vehicle (100), a step of activating (S20) a location tracker (170) of the motor vehicle (100).

5. Communication method according to any one of the preceding claims in which the detection (S00) of the attack on the motor vehicle (100) is a detection of a break-in of the motor vehicle (100) or a detection of an intrusion into the motor vehicle (100).

6. Communication method according to any one of the preceding claims in which the first sensor (140) and the second sensor (131, 132) are identical and in which the detection (S00) of the attack on the motor vehicle (100) produces the security information.

7. Communication method according to one of claims 1 to 6 wherein the second sensor (132) is an image sensor.

8. Computer program comprising instructions, executable by a microprocessor or a microcontroller, for implementing the method according to any one of claims 1 to 7, when executed by the microprocessor or the microcontroller.

9. Electronic device (110) configured to implement the steps of the method according to any one of claims 1 to 7.

10. Motor vehicle (100) comprising the electronic device (110) according to the preceding claim.

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