METHOD AND DEVICE FOR DEACTIVATING DRIVING ASSISTANCE SYSTEMS

DE602022018933T2Active Publication Date: 2025-08-06STELLANTIS AUTO SAS
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Patent Information

Application Number
DE602022018933
Authority / Receiving Office
DE · DE
Patent Type
Patents
Current Assignee / Owner
Priority Date
2021-06-07
Filing Date
2022-05-03
Publication Date
2025-08-06
Estimated Expiration
2042-05-03

AI Technical Summary

Technical Problem

Existing methods for deactivating driving assistance systems in autonomous or semi-autonomous vehicles are inadequate as they rely on signaling or mapping, which can be unreliable, especially in detecting areas unsuitable for autonomous driving such as roadworks or toll zones.

Method used

A method and device that utilize sensors to detect vertical road profiles, specifically rumble strips, to deactivate driving assistance systems by comparing the number of detected rumble strips to a threshold, ensuring safe transitions from autonomous to manual control.

Benefits of technology

Enhances safety by accurately identifying road conditions unsuitable for autonomous driving, reducing reliance on signage or mapping, and ensuring timely driver intervention.

✦ Generated by Eureka AI based on patent content.
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Description

[0001] The present invention claims priority from French application 2105945 filed on 07.06.2021. Technical field

[0002] The present invention relates to methods and devices for driving assistance systems. The present invention also relates to a method and device for deactivating at least one driving assistance system of a vehicle, in particular an autonomous vehicle. Technological background

[0003] Road safety is one of the most important issues facing our society. With the increasing number of vehicles on the world's road networks, regardless of traffic conditions, the risk of accidents and incidents caused by traffic conditions has never been greater.

[0004] To improve road safety, some contemporary vehicles are equipped with driver assistance functions or systems, known as ADAS (Advanced Driver-Assistance System). For example, ADAS systems implement processes based on the detection of surrounding obstacles using peripheral sensors onboard a vehicle such as cameras, radars, or even lidars (Light Detection And Ranging).

[0005] ADAS systems can also take into account navigation data indicating in advance the characteristics of a road, including speed limits, hills or even the radius of curvature of bends on the route, in order to optimize the vehicle's driving in advance.

[0006] The increasing automation of vehicle driving is also leading to the design of autonomous vehicles, i.e. vehicles whose driving is, at least in part, managed by one or more automatic systems. The level of autonomy of an autonomous vehicle is, for example, between 0 and 5 (0 for a vehicle with no autonomy and whose driving is under the full supervision of the driver and 5 for a fully autonomous vehicle).

[0007] The 5 levels of autonomy of the classification of the federal agency responsible for road safety are: Level 0: No automation, the vehicle driver has full control over the main vehicle functions (engine, accelerator, steering, brakes); Level 1: Driver assistance, automation is active for some vehicle functions, with the driver retaining overall control over the vehicle's driving; Cruise control is part of this level, as are other aids such as ABS (anti-lock braking system) or ESP (electronic stability program); Level 2: Combined function automation, control of at least two main functions is combined in the automation to replace the driver in certain situations; for example, adaptive cruise control combined with lane centering allows a vehicle to be classified as Level 2, as does automatic parking assistance (from the English "Park assist").level 3: limited autonomous driving, the driver can transfer complete control of the vehicle to the automated system which will then be responsible for critical safety functions; autonomous driving can however only take place in certain determined environmental and traffic conditions (only on motorways for example); level 4: complete autonomous driving under conditions, the vehicle is designed to ensure all critical safety functions alone over a complete journey; the driver provides a destination or navigation instructions but is not required to make himself available to take back control of the vehicle; level 5: completely autonomous driving without driver assistance in all circumstances.

[0008] The International Organization of Motor Vehicle Manufacturers classification is similar to that listed above, except that it has 6 levels, with level 3 in the US classification being divided into 2 levels in the International Organization of Motor Vehicle Manufacturers classification.

[0009] When a vehicle has Level 3 autonomy, automated driving is possible under certain conditions, including the perception of the vehicle's sensors. If one of the conditions is no longer met, the autonomous vehicle returns control to the driver within a sufficient time, who can then regain control of the vehicle.

[0010] Similarly, some features of an ADAS system, for example in a vehicle with Level 1 or 2 autonomy, are only compatible with specific sections of road.

[0011] Factors that may make a section of road incompatible with autonomous driving or the activation of certain ADAS system features include, for example, the presence of roadworks, road improvements, pedestrian crossings, sharp bends, tolls, or dangerous roundabouts. Such areas are, for example, indicated in advance by road signs or map data.

[0012] The detection of these areas is thus dependent on the ability of a vehicle to detect and identify traffic signs, which can be altered in a variety of ways, including light and traffic conditions, and the quality and maintenance of the infrastructure. The detection of toll zones is particularly complicated by the widening of traffic lanes, limiting the possibilities for locating the signs. Similarly, the recording of these areas in cartographic data, for example within a database in communication with the vehicle, depends on the maintenance of this cartographic data.

[0013] Document US 2019 / 0092338 A1 is further known and discloses a device for controlling a transmitted vibration amount comprising a control state detector, a road surface condition detector and at least one transmitted vibration amount control unit comprising a transmission means which transmits information representing a road surface condition to a driver, and a means for controlling a transmitted vibration amount caused by a road surface unevenness.

[0014] The Applicant therefore submits that the processes and devices enabling the driver to regain control of an autonomous or semi-autonomous vehicle remain largely improvable. Summary of the invention

[0015] It is an object of the present invention to overcome the above limitations.

[0016] Another object of the present invention is to propose a method for deactivating a driving assistance system making it possible to detect areas not suitable for autonomous or semi-autonomous driving without depending on signaling or mapping.

[0017] According to a first aspect, the present invention relates to a method for deactivating at least one driving assistance system of a vehicle, the method being implemented by at least one processor, the method comprising the following steps: receiving first information representative of a vertical road profile from a set of sensors integrated into the vehicle; obtaining second information representative of a presence of rumble strips as a function of the first information; comparing said value with a threshold value; and deactivating the at least one driving assistance system as a function of the second information and said comparison, said second information comprising a value representative of a number of rumble strips (11).

[0018] According to one variant, said at least one driving assistance system is deactivated when said value is greater than said threshold value.

[0019] According to another variant, the method further comprises a step of rendering a request to take control of the vehicle based on the second information, the deactivation step also being triggered based on a response to the request received from a human-machine interface.

[0020] Preferably, the rendering step further comprises controlling the speed of the vehicle.

[0021] According to a further variant, the driver assistance system belongs to a set of systems comprising: an adaptive vehicle speed control system; and an intelligent vehicle speed adaptation system; and a vehicle positioning assistance system in a traffic lane; and an automatic traffic lane change system; and a vehicle autonomous driving mode system.

[0022] According to a further variant, the set of sensors comprises at least one camera associated with a vehicle suspension system.

[0023] According to an additional variant, the method further comprises a step of transmitting the second information to a remote server.

[0024] According to a second aspect, the present invention relates to a device for deactivating a driving assistance system, the device comprising a memory associated with a processor configured to implement the steps of the method according to the first aspect of the present invention.

[0025] According to a third aspect, the present invention relates to a vehicle, for example of the automobile type, comprising a device as described above according to the second aspect of the present invention.

[0026] According to a fourth aspect, the present invention relates to a computer program which comprises instructions adapted for executing the steps of the method according to the first aspect of the present invention, in particular when the computer program is executed by at least one processor.

[0027] Such a computer program may use any programming language, and may be in the form of source code, object code, or intermediate code between source code and object code, such as in a partially compiled form, or in any other desirable form.

[0028] According to a fifth unclaimed aspect, the present invention relates to a computer-readable recording medium on which is recorded a computer program comprising instructions for carrying out the steps of the method according to the first aspect of the present invention.

[0029] On the one hand, the recording medium can be any entity or device capable of storing the program. For example, the medium may include a storage medium, such as a ROM memory, a CD-ROM or a microelectronic circuit type ROM memory, or a magnetic recording medium or a hard disk.

[0030] Furthermore, this recording medium may also be a transmissible medium such as an electrical or optical signal, such a signal being able to be conveyed via an electrical or optical cable, by conventional or hertzian radio or by self-directed laser beam or by other means. The computer program according to the present invention may in particular be downloaded from a network such as the Internet.

[0031] Alternatively, the recording medium may be an integrated circuit in which the computer program is incorporated, the integrated circuit being adapted to perform or to be used in performing the method in question. Brief description of the figures

[0032] Other characteristics and advantages of the present invention will emerge from the description of the particular and non-limiting exemplary embodiments of the present invention below, with reference to figures 1 to 3 annexed, on which: [ Fig. 1 ] schematically illustrates a vehicle traveling in a road environment, according to a particular and non-limiting exemplary embodiment of the present invention; [ Fig. 2 ] schematically illustrates a device configured to deactivate at least one driving assistance system of the vehicle of the figure 1 , according to a particular and non-limiting exemplary embodiment of the present invention; [ Fig. 3] illustrates a flowchart of the different steps of a method for deactivating at least one driving assistance system of the vehicle of the figure 1 , according to a particular and non-limiting embodiment of the present invention. Description of examples of implementation

[0033] A method and a device for deactivating at least one driving assistance system of a vehicle will now be described in the following with joint reference to figures 1 to 3 The same elements are identified with the same reference signs throughout the description which follows.

[0034] According to a particular and non-limiting example of embodiment of the present invention, a method for deactivating at least one driving assistance system of a vehicle comprises the reception, by an on-board processor of the vehicle, of first information representative of a vertical road profile, that is to say a profile of the elevation of the road, from a set of sensors integrated into the vehicle. The first information comprises for example height values of the vertical road profile in front of the vehicle, collected according to one or more capture angles or even over a given period.

[0035] Based on the first information, the processor obtains second information representative of the presence of rumble strips, i.e. raised transverse strips requiring the vehicle to slow down, for example when approaching a toll booth or any other road structure.

[0036] The processor then deactivates the at least one driving assistance system based on the second information, for example one or more functionalities of an ADAS system of the vehicle, the functionalities being adapted only to driving on predefined road sections, the presence of rumble strips indicating that the upcoming road section is not necessarily compatible with the use of such driving assistance systems, for example with driving in autonomous or semi-autonomous mode.

[0037] The deactivation of driver assistance systems based on the presence of rumble strips thus makes it possible to provide an additional means of detecting changes in road sections and in particular sections of road not suitable for the use of certain driver assistance systems, in addition to other fallible or incomplete means such as the detection of signs and / or the use of map data.

[0038] [ Fig. 1 ] schematically illustrates a road environment 1 in which a vehicle 10 moves, according to a particular and non-limiting exemplary embodiment of the present invention.

[0039] There figure 1 illustrates a vehicle 10, for example a motor vehicle, traveling on a traffic lane 1000. According to other examples, the vehicle 10 corresponds to a coach, a bus, a truck or a motorcycle, that is to say a motorized land-type vehicle.

[0040] In accordance with the underlying concept of the invention, the vehicle 10 has at least one driving assistance system, called ADAS, enabling the vehicle 10 to be driven autonomously or semi-autonomously, in particular according to an autonomous driving level of between 1 and 3. One or more of these ADAS systems are only compatible with specific road sections, for example only on motorways or outside danger zones. The ADAS systems are for example respectively associated with peripheral computers embedded in the vehicle 10 and configured to control the ADAS systems under appropriate conditions, for example according to map data indicating a variety of road sections compatible or not with each ADAS system.

[0041] In a first operation, at least one processor of the vehicle 10, for example a central computer or a set of computers, receives first information representative of a vertical road profile from a set of sensors integrated into the vehicle 10.

[0042] The at least one processor comprises, for example, an intelligent service box or BSI (in English “Built-In Systems Interface”) or a VSM (from the English “Vehicle Supervisor Module” or in French “Module de Supervision de Véhicule”) capable of forming a communication network, for example a multiplexed communication network, in which data is transmitted via a wireless or wired link, for example data received from on-board sensors. The at least one processor or BSI (hereinafter referred to as “BSI”) is thus connected to a plurality of peripheral computers, for example to the peripheral computers associated with the on-board ADAS systems of the vehicle 10 and / or to other on-board system computers of the vehicle 10.

[0043] The BSI thus receives the first information by communication in the multiplexed communication network, making it possible for example to characterize the evolution of the traffic lane 1000 during the journey of the vehicle 10. The first information is for example generated from data representative of the road environment 1, for example data obtained by one or more sensors of the object detection system(s) on board the vehicle 10, this or these systems being for example part of an ADAS system of the vehicle 10.

[0044] For example, the sensor(s) associated with these object detection systems correspond to one or more of the following sensors: one or more millimeter wave radars arranged on the vehicle 10, for example at the front, at the rear, on each front / rear corner of the vehicle 10; each radar being adapted to emit electromagnetic waves and to receive the echoes of these waves returned by one or more objects, for the purpose of detecting obstacles and their distances from the vehicle 10; and / or one or more LIDAR(s), a LIDAR sensor corresponding to an optoelectronic system composed of a laser emitting device, a receiving device comprising a light collector (to collect the part of the light radiation emitted by the emitter and reflected by any object located in the path of the light rays emitted by the emitter) and a photodetector which transforms the collected light into an electrical signal; a LIDAR sensor thus makes it possible to detect the presence of objects located in the emitted light beam and to measure the distance between the sensor and each detected object;and / or one or more cameras (associated or not with a depth sensor) for the acquisition of one or more images of the environment around the vehicle 10 located in the field of vision of the camera(s).;

[0045] According to a particular variant, the set of sensors comprises at least one camera associated with a suspension system of the vehicle 10, so as to facilitate the characterization of the vertical road profile. Such a camera is for example integrated into a controlled suspension system, also called adaptive suspension, using for example the first information or the road environment data 1 to adapt the damping of the vehicle 10 to the vertical road profile. This camera has for example a capture angle sized according to safety distances on a traffic lane 1000 compatible with ADAS systems, for example on a motorway, so as to ensure the capture of the vertical road profile during smooth traffic. This camera is for example arranged at the height of the suspension system of the vehicle 10.

[0046] The data obtained from this or these sensors vary depending on the type of sensor. When it is a radar or a LIDAR, the road environment data 1 corresponds for example to distance data between points of the detected object and the sensor. Each detected object is thus represented by a point cloud (each point corresponding to a point of the object receiving the radiation emitted by the sensor and reflecting at least part of this radiation), the point cloud representing the envelope (or part of the envelope) of the detected object as seen by the sensor and ultimately by the vehicle 10 carrying the sensor. When it is a video camera, the road environment data 1 corresponds to data associated with each pixel of the acquired image(s), for example gray level values coded on for example 8, 10, 12 or more bits for each color channel, for example RGB (from the English “Red, Green, Blue” or in French “Rouge, vert, bleu”).

[0047] The first information received by these sensors indicates for example the position and the height of the elements present on the traffic lane 1000, making it possible to constitute the vertical road profile of the traffic lane 1000, that is to say a value or a set of values of height or amplitude measured at a given distance from the vehicle 10, for example in front of each of the front wheels of the vehicle 10.

[0048] Depending on the first information, the vehicle 10 obtains in a second operation second information representative of a presence of rumble strips 11. The rumble strips 11 are for example detected individually by a variation in height of the vertical road profile over a given distance, this variation being for example between two threshold values making it possible to differentiate it from irregularities of the traffic lane 1000 or larger obstacles, and corresponding for example to an “impulse” on the vertical road profile. According to another design, the rumble strips 11 are detected by a variation in height of the vertical road profile at a given distance from the vehicle 10 as a function of time, for example in a manner related to a speed of the vehicle 10.

[0049] The BSI then deactivates in a third operation at least one driving assistance system of the vehicle 10 according to the second information. The BSI transmits for example a deactivation data to one or more peripheral computers, for example peripheral computers of ADAS systems of the vehicle, each peripheral computer being associated with at least one driving assistance system to be deactivated. The ADAS systems to be deactivated according to the second information, and the associated computers, are for example recorded in a memory of the BSI as ADAS systems not compatible with certain road sections and belong for example to a set of systems comprising: an adaptive speed regulation system for the vehicle 10, called ACC (from the English "Adaptive Cruise Control" also called "distance regulation radar"); and an intelligent speed adaptation system, called ISA (from the English "Intelligent Speed Assistance" or "Intelligent Speed Adaptation"); and a system for assisting in positioning the vehicle 10 in a traffic lane, called LPA (from the English "Lane Positioning Assist"); and an automatic lane change system, called SALC (from the English "Semi-Automatic Lane Change"); and a system for driving the vehicle 10 in autonomous mode, for example according to a level 3 autonomy, or a plurality of systems allowing, through their cooperation, driving the vehicle 10 in autonomous mode.

[0050] According to the invention, the second information comprises a value representative of a number of rumble strips 11, i.e. the vehicle 10 detects and counts, for example during a period, a plurality of detected rumble strips 11. The representative value is then compared to a threshold value, the third operation being further carried out as a function of this comparison, for example when the counted value is greater than a threshold value defined and recorded in a memory of the BSI, i.e. after detection of a given number of rumble strips 11. This design makes it possible in particular to limit the impact of false positives during the second operation, for example the false detection of a rumble strip from an irregularity of the traffic lane 1000 and / or limitations of the sensors returning the first information and / or an imprecise setting of the threshold values used during the second operation.

[0051] According to yet another variant, the BSI receives the second information and generates a request to take control of the vehicle 10, so as to alert the driver of the vehicle 10 and allow him to validate its availability. The BSI communicates for example, within the multiplexed network, with an on-board HMI (Human-Machine Interface) system or an IVI (In-Vehicle Infotainment) system, the BSI communicating for example to a supervisor of the HMI system controlling one or more interfaces of the vehicle 10 including a handset and / or a central display of the vehicle 10.

[0052] In this example, the BSI transmits information representative of the second information to the supervisor of the HMI system, which renders based on the representative information. Depending on the HMI system, the rendering corresponds to a visual, audible or haptic signal prompting the driver to confirm or deny taking control and / or the presence of the rumble strips 11 and / or a traffic lane 1000 not suitable for the driving assistance systems. According to another example, the BSI communicates with another human-machine interface embedded in the vehicle 10, for example a connected device embedded in the vehicle 10.

[0053] The BSI then receives information from the human-machine interface representing a response to the takeover request, the third operation also being carried out based on this response. This design thus makes it possible to maintain the operation of the ADAS systems as much as possible while waiting for the driver of the vehicle 10 and to avoid any loss of control of the vehicle 10.

[0054] Optionally, the rendering of the takeover request is accompanied by a control of the speed of the vehicle 10, for example a slowing down or maintaining of speed associated with the detection of rumble strips 11 or even a stabilization of the behavior of the vehicle 10 before the deactivation of ADAS systems. The BSI transmits for example a command within the multiplexed network to an ACC, ISA system, or even another on-board system, making it possible to limit the speed of the vehicle 10 for its approach to a potentially dangerous or slowing down zone.

[0055] According to another variant, the BSI transmits the second information to a remote server 110, for example a map data server associated with a community database or a road manager. The BSI transmits for example this second information following the third operation, for example after confirmation and / or takeover of the vehicle 10 by the driver. This operation makes it possible for example to confirm the presence of a slowdown in the absence of appropriate traffic signs or to signal an irregularity between the traffic lane 1000 and the map representing it.

[0056] According to an exemplary embodiment, the vehicle 10 advantageously communicates with the remote server 110 using a V2X communication system, for example based on the 3GPP LTE-V (Long-Term Evolution) or IEEE 802.11p ITS G5 standards. In such a V2X communication system, each vehicle carries a node to enable vehicle-to-vehicle (V2V), vehicle-to-infrastructure (V21) and / or vehicle-to-pedestrian (V2P) communication, the pedestrians being equipped with mobile devices (for example a smartphone) configured to communicate with the vehicles.

[0057] The network infrastructure comprises, for example, a communication device 101, corresponding, for example, to an antenna of a cellular network of the LTE 4G or 5G type or to a UBR (“Roadside Unit”), each corresponding to a node of the network, in addition to the nodes equipping vehicles or pedestrians.

[0058] According to a particular embodiment, all of the nodes (i.e., the communications devices associated with the vehicle 10 and the antenna or UBR 101) of the network form, for example, an ad hoc wireless network (also called WANET (from the English “Wireless Ad Hoc Network”) or MANET (from the English “Mobile Ad Hoc Network”)), corresponding to a decentralized wireless network. The ad hoc wireless network advantageously corresponds to an ad hoc vehicular network (or VANET, from the English “Vehicular Ad hoc NETwork”) or to an intelligent ad hoc vehicular network (or InVANET, from the English “Intelligent Vehicular Ad hoc NETwork”), also called a “GeoNetworking” network.In such a network, 2 or more vehicles, each carrying a node, can communicate with each other in the context of vehicle-to-vehicle (V2V) communication; each vehicle can communicate with the infrastructure set up in the context of vehicle-to-infrastructure (V21) communication; each vehicle can communicate with one or more pedestrians equipped with mobile devices (for example, a smartphone) in the context of vehicle-to-pedestrian (V2P) communication.

[0059] The node corresponding to the antenna (or UBR) 101 is advantageously connected to the remote server 110 or to the “cloud” 100 via a wired and / or wireless connection. The antenna or UBR 101 can thus act as a relay between the remote server 110 and / or the “cloud” 100 and the vehicle 10.

[0060] According to another exemplary embodiment, the vehicle 10 carries an autonomous telematics box, called BTA, in communication with the BSI inside the multiplexed network and making it possible to communicate with the remote server 110 outside the V2X communication network, for example a 3G or 4G BTA allowing wireless communication inside a cellular network of the LTE 4G type. The vehicle 10 communicates for example with the remote server 110 and / or the cloud 100 via the antenna or UBR 101, via another antenna of the cellular network of the LTE 4G type in communication with the remote server 110, or even directly with the remote server 110.

[0061] The compatibility of the traffic lane 1000 with the operation of ADAS systems of the vehicle 10 is thus verified in an additional manner with respect to known solutions, making it possible to supplement and / or confirm the information received from cartographic data and / or from a TSR (Traffic Sign Recognition) or ETSR (Extended Traffic Sign Recognition) system, by exploiting as much as possible the data from on-board sensors of the vehicle 10.

[0062] [ Fig. 2] schematically illustrates a device 2 configured to deactivate at least one driving assistance system of a vehicle, according to a particular and non-limiting exemplary embodiment of the present invention. The device 2 corresponds for example to a device on board the vehicle 10, for example a computer. The device 2 is for example configured to transmit and receive data within a multiplexed communication network.

[0063] Device 2 is for example configured to implement the operations described with regard to the figure 1 and / or steps of the method described with regard to the figure 3. Examples of such a device 2 include, but are not limited to, on-board electronic equipment such as a vehicle on-board computer, an electronic calculator such as an ECU (“Electronic Control Unit”), a smartphone, a tablet, a laptop. The elements of the device 2, individually or in combination, may be integrated into a single integrated circuit, into several integrated circuits, and / or into discrete components. The device 2 may be implemented in the form of electronic circuits or software (or computer) modules or even a combination of electronic circuits and software modules.

[0064] The device 2 comprises one (or more) processor(s) 20 configured to execute instructions for carrying out the steps of the method and / or for executing the instructions of the software(s) embedded in the device 2. The processor 20 may include integrated memory, an input / output interface, and various circuits known to those skilled in the art. The device 2 further comprises at least one memory 21 corresponding for example to a volatile and / or non-volatile memory and / or comprises a memory storage device which may comprise volatile and / or non-volatile memory, such as EEPROM, ROM, PROM, RAM, DRAM, SRAM, flash, magnetic or optical disk.

[0065] The computer code of the embedded software(s) including the instructions to be loaded and executed by the processor is for example stored in the memory 21.

[0066] According to various particular and non-limiting embodiments, the device 2 is coupled in communication with other similar devices or systems and / or with communication devices, for example a TCU (from the English “Telematic Control Unit” or in French “Telematic Control Unit”), for example via a communication bus or through dedicated input / output ports.

[0067] According to a particular and non-limiting exemplary embodiment, the device 2 comprises a block 22 of interface elements for communicating with external devices, for example a remote server or the “cloud”, other nodes of the ad hoc network. The interface elements of the block 22 comprise one or more of the following interfaces: RF radio frequency interface, for example Wi-Fi ®< type (according to IEEE 802.11), for example in the 2.4 or 5 GHz frequency bands, or Bluetooth ®< type (according to IEEE 802.15.1), in the 2.4 GHz frequency band, or Sigfox type using UBN (Ultra Narrow Band) radio technology, or LoRa in the 868 MHz frequency band, LTE (Long-Term Evolution), LTE-Advanced; USB interface (Universal Serial Bus); HDMI interface (High Definition Multimedia Interface); LIN interface (Local Interconnect Network).

[0068] Data is for example loaded to the device 2 via the interface of the block 22 using a Wi-Fi ®< network such as according to IEEE 802.11, an ITS G5 network based on IEEE 802.11p or a mobile network such as a 4G (or 5G) network based on the LTE (Long Term Evolution) standard defined by the 3GPP consortium, in particular an LTE-V2X network.

[0069] According to another particular and non-limiting exemplary embodiment, the device 2 comprises a communication interface 23 which makes it possible to establish communication with other devices (such as other computers of the on-board system) via a communication channel 24. The communication interface 23 corresponds for example to a transmitter configured to transmit and receive information and / or data via the communication channel 24. The communication interface 23 corresponds for example to a wired network of the CAN (Controller Area Network) type, CAN FD (Controller Area Network Flexible Data-Rate), FlexRay (standardized by the ISO 17458 standard) or Ethernet (standardized by the ISO / IEC 802-3 standard).

[0070] According to a particular and non-limiting exemplary embodiment, the device 2 can provide output signals to one or more external devices, such as a display screen 25, touch-sensitive or not, one or more speakers 26 and / or other peripherals 27 (projection system) via output interfaces 28, 29 and 30 respectively. According to a variant, one or other of the external devices is integrated into the device 2.

[0071] [ Fig. 3 ] illustrates a flowchart of the different steps of a method for deactivating at least one driving assistance system of a vehicle, according to a particular and non-limiting exemplary embodiment of the present invention. The method is for example implemented by a device on board the vehicle 10 or by the device 2 of the figure 2 .

[0072] In a first step 31, first information representative of a vertical road profile is received by a processor, from a set of sensors integrated into the vehicle.

[0073] In a second step 32, second information representative of a presence of rough bands is obtained as a function of the first information.

[0074] In a third step 33, at least one driving assistance system is deactivated based on the second information.

[0075] According to a variant, the variants and examples of the operations described in relation to the figure 1 apply to the process steps of the figure 3 .

[0076] Of course, the present invention is not limited to the exemplary embodiments described above but extends to a method of deactivating at least one driving assistance system which would include secondary steps in accordance with the subject of the present invention, defined by the attached claims. The same would apply to a device configured for the implementation of such a method.

[0077] The present invention also relates to a vehicle, for example an automobile or more generally an autonomous land-based motor vehicle, comprising the device 2 of the figure 2 .

Claims

1. Method for deactivating at least one vehicle driver assistance system (10), said method being implemented by at least one processor, said method comprising the following steps: - receipt (31) of first information representative of a vertical road profile from a set of sensors integrated into said vehicle (10); - obtaining (32) second information representative of a presence of rough strips (11) according to said first information; - comparison of that value with a threshold value; and - deactivation (33) of said at least one driving aid system as a function of said second information and said comparison; wherein said second information comprises a value representative of a quantity of rough strips (11).

2. Method according to claim 1, wherein said at least one driving aid system is deactivated when said value is greater than said threshold value.

3. Method according to claim 1 or 2, which further comprises a step of rendering a request for restart in the hand of said vehicle (10) as a function of said second information, said deactivation step (33) also being triggered as a function of a response to said request received from a man-machine interface.

4. Method according to claim 3, wherein said rendering step further comprises a speed control of said vehicle (10).

5. Method according to one of claims 1 to 4, in which the said driving aid system belongs to a set of systems comprising: - an adaptive speed control system of said vehicle (10); and - a system for intelligent speed adaptation of the said vehicle (10); and - a system for aiding the positioning of the said vehicle (10) in a lane of circulation; and - an automatic lane change system; and an autonomous driving system of said vehicle (10).

6. Method according to one of claims 1 to 5, in which said set of sensors comprises at least one camera associated with a suspension system of said vehicle (10).

7. Method according to one of claims 1 to 6, which further comprises a step of transmission of said second information to a remote server (110).

8. A computer plan containing instructions for implementing the method according to any one of the previous claims, when these instructions are executed by a processor.

9. Device (2) for deactivating a driving aid system, said device (2) comprising a memory (21) associated with at least one processor (20) configured for implementing the steps of the method according to any one of claims 1 to 7.

10. Vehicle (10) comprising the device according to claim 9.