Classifications

• • B—PERFORMING OPERATIONS; TRANSPORTING
  • B60—VEHICLES IN GENERAL
  • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
  • B60W40/00—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
  • B60W40/02—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to ambient conditions
  • B60W40/06—Road conditions
  • B60W40/064—Degree of grip
• • B—PERFORMING OPERATIONS; TRANSPORTING
  • B60—VEHICLES IN GENERAL
  • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
  • B60W30/00—Purposes of road vehicle drive control systems not related to the control of a particular sub-unit, e.g. of systems using conjoint control of vehicle sub-units
  • B60W30/08—Active safety systems predicting or avoiding probable or impending collision or attempting to minimise its consequences
  • B60W30/095—Predicting travel path or likelihood of collision
  • B60W30/0956—Predicting travel path or likelihood of collision the prediction being responsive to traffic or environmental parameters
• • B—PERFORMING OPERATIONS; TRANSPORTING
  • B60—VEHICLES IN GENERAL
  • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
  • B60W30/00—Purposes of road vehicle drive control systems not related to the control of a particular sub-unit, e.g. of systems using conjoint control of vehicle sub-units
  • B60W30/14—Adaptive cruise control
  • B60W30/143—Speed control
• • B—PERFORMING OPERATIONS; TRANSPORTING
  • B60—VEHICLES IN GENERAL
  • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
  • B60W30/00—Purposes of road vehicle drive control systems not related to the control of a particular sub-unit, e.g. of systems using conjoint control of vehicle sub-units
  • B60W30/14—Adaptive cruise control
  • B60W30/16—Control of distance between vehicles, e.g. keeping a distance to preceding vehicle
• • B—PERFORMING OPERATIONS; TRANSPORTING
  • B60—VEHICLES IN GENERAL
  • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
  • B60W30/00—Purposes of road vehicle drive control systems not related to the control of a particular sub-unit, e.g. of systems using conjoint control of vehicle sub-units
  • B60W30/18—Propelling the vehicle
  • B60W30/18009—Propelling the vehicle related to particular drive situations
  • B60W30/18163—Lane change; Overtaking manoeuvres
• • B—PERFORMING OPERATIONS; TRANSPORTING
  • B60—VEHICLES IN GENERAL
  • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
  • B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
  • B60W50/08—Interaction between the driver and the control system
  • B60W50/12—Limiting control by the driver depending on vehicle state, e.g. interlocking means for the control input for preventing unsafe operation
• • B—PERFORMING OPERATIONS; TRANSPORTING
  • B60—VEHICLES IN GENERAL
  • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
  • B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
  • B60W50/08—Interaction between the driver and the control system
  • B60W50/14—Means for informing the driver, warning the driver or prompting a driver intervention
• • B—PERFORMING OPERATIONS; TRANSPORTING
  • B60—VEHICLES IN GENERAL
  • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
  • B60W60/00—Drive control systems specially adapted for autonomous road vehicles
  • B60W60/005—Handover processes
  • B60W60/0053—Handover processes from vehicle to occupant
• • B—PERFORMING OPERATIONS; TRANSPORTING
  • B60—VEHICLES IN GENERAL
  • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
  • B60W60/00—Drive control systems specially adapted for autonomous road vehicles
  • B60W60/005—Handover processes
  • B60W60/0059—Estimation of the risk associated with autonomous or manual driving, e.g. situation too complex, sensor failure or driver incapacity
• • B—PERFORMING OPERATIONS; TRANSPORTING
  • B60—VEHICLES IN GENERAL
  • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
  • B60W2420/00—Indexing codes relating to the type of sensors based on the principle of their operation
  • B60W2420/40—Photo, light or radio wave sensitive means, e.g. infrared sensors
  • B60W2420/403—Image sensing, e.g. optical camera
• • B—PERFORMING OPERATIONS; TRANSPORTING
  • B60—VEHICLES IN GENERAL
  • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
  • B60W2520/00—Input parameters relating to overall vehicle dynamics
  • B60W2520/26—Wheel slip
• • B—PERFORMING OPERATIONS; TRANSPORTING
  • B60—VEHICLES IN GENERAL
  • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
  • B60W2530/00—Input parameters relating to vehicle conditions or values, not covered by groups B60W2510/00 or B60W2520/00
  • B60W2530/10—Weight
• • B—PERFORMING OPERATIONS; TRANSPORTING
  • B60—VEHICLES IN GENERAL
  • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
  • B60W2530/00—Input parameters relating to vehicle conditions or values, not covered by groups B60W2510/00 or B60W2520/00
  • B60W2530/20—Tyre data
• • B—PERFORMING OPERATIONS; TRANSPORTING
  • B60—VEHICLES IN GENERAL
  • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
  • B60W2552/00—Input parameters relating to infrastructure
  • B60W2552/20—Road profile, i.e. the change in elevation or curvature of a plurality of continuous road segments
• • B—PERFORMING OPERATIONS; TRANSPORTING
  • B60—VEHICLES IN GENERAL
  • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
  • B60W2555/00—Input parameters relating to exterior conditions, not covered by groups B60W2552/00, B60W2554/00
  • B60W2555/20—Ambient conditions, e.g. wind or rain
• • B—PERFORMING OPERATIONS; TRANSPORTING
  • B60—VEHICLES IN GENERAL
  • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
  • B60W2556/00—Input parameters relating to data
  • B60W2556/45—External transmission of data to or from the vehicle
• • B—PERFORMING OPERATIONS; TRANSPORTING
  • B60—VEHICLES IN GENERAL
  • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
  • B60W2556/00—Input parameters relating to data
  • B60W2556/45—External transmission of data to or from the vehicle
  • B60W2556/50—External transmission of data to or from the vehicle of positioning data, e.g. GPS [Global Positioning System] data
• • B—PERFORMING OPERATIONS; TRANSPORTING
  • B60—VEHICLES IN GENERAL
  • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
  • B60W2556/00—Input parameters relating to data
  • B60W2556/45—External transmission of data to or from the vehicle
  • B60W2556/65—Data transmitted between vehicles
• • B—PERFORMING OPERATIONS; TRANSPORTING
  • B60—VEHICLES IN GENERAL
  • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
  • B60W2720/00—Output or target parameters relating to overall vehicle dynamics
  • B60W2720/10—Longitudinal speed
• • B—PERFORMING OPERATIONS; TRANSPORTING
  • B60—VEHICLES IN GENERAL
  • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
  • B60W2754/00—Output or target parameters relating to objects
  • B60W2754/10—Spatial relation or speed relative to objects
  • B60W2754/30—Longitudinal distance

Definitions

• the present invention claims the priority of French application 2101469 filed on 02.16.2021, the content of which (text, drawings and claims) is incorporated herein by reference.
• the present invention relates to methods and systems for assisting the driving of a motor vehicle, and more particularly to estimating the risks of occurrence of a feared event linked to the grip of the motor vehicle.
• An object of the present invention is to anticipate the occurrence of a dreaded event linked to the grip of the motor vehicle. Another object of the present invention is to alert the driver at the appropriate time of the probable occurrence of a deterioration in the grip of the motor vehicle.
• the error rate incorporates a relevance coefficient of said at at least one first datum relative to the driving situation identified when the motor vehicle is at the first distance from said point;
• the method further comprises a step of generating an alert, when the calculated risk of occurrence is greater than a predefined threshold value
• At least one first datum is retrieved from a sensor on board the motor vehicle or from a remote server;
• the device is further configured to generate an alert when the calculated risk of occurrence is greater than a predefined threshold value, this alert comprising a message associated with a refusal to activate an autonomous driving mode , a message associated with an interruption of an autonomous driving mode, or a message for an adaptation of a manual driving mode.
• FIG.1 schematically illustrates a motor vehicle provided with a device for evaluating a risk of occurrence, at a point of a segment of road to be traveled by this motor vehicle, of a feared event linked to the adhesion of the motor vehicle according to various embodiments;
• FIG.2 schematically illustrates the steps of a method for evaluating a risk of occurrence, at a point of a segment of road to be traveled by a motor vehicle, of a feared event linked to the adhesion of the motor vehicle according to various embodiments;
• FIG.3 schematically illustrates an implementation of steps of a method for evaluating a risk of occurrence of a feared event according to various embodiments.
• a motor vehicle 1 comprising a device 2 configured to assess a risk of occurrence, at a point 3 or an area of a segment 4 of road to be traveled by the motor vehicle 1, of a dreaded event linked to the grip of the motor vehicle 1.
• Point 3 is dynamically located at the front of motor vehicle 1 on segment 4 of the road.
• the device 2 is configured to retrieve (step 21 of Figure 2) or collect one or more data made available to it when the motor vehicle 1 is at a distance d from point 3 (or, equivalently, at a duration of time to reach point 3, the distance d being the distance to be traveled by the motor vehicle 1).
• These data relate to the grip of the motor vehicle 1 on the road segment 4.
• These data include any information making it possible to provide information on the level of grip of the motor vehicle 1 on the segment 4 of the road. More generally, these data include any information making it possible to characterize or to have an appreciation of the quality of the contact between the tire of the motor vehicle 1 and the roadway 5 of the segment 4 of the road.
• this data includes weather information, information relating to the road segment 4, information relating to road traffic on the road segment 4, information relating to the motor vehicle 1 (speed, tire, or load per example).
• sensors on board the motor vehicle 1 such as a rain sensor, a thermometer measuring the outside temperature, an anti-lock wheel device (better known as ABS acronym for "Anti-lock Braking System” in English), a trajectory corrector (better known by the acronym ESP for "Electronic Stability Program” in English), an anti-skid system, a wheel speed sensor, a sensor the angle of the steering wheel, a yaw rate sensor, tire parameters (compound, tread depth or shape, shape of the contact area with the roadway 5), the laden weight of the motor vehicle 1, image data provided by an on-board image sensor (a camera mounted in frontal vision for example), information on segment 4 of road (traffic, profile of the roadway, geometry of the road: downhill, bend, sharp bend, successive bends, applicable speed limit for example) provided by an on-board navigation device.
• sensors on board the motor vehicle 1 such as a rain sensor, a thermometer measuring the outside temperature, an anti-lock wheel device (better known as ABS acronym for "Anti-lock Braking System” in English),
• the data retrieved by the device 2 includes data provided by remote servers such as a weather server, a road traffic information server, a server of a manager road infrastructure, a server of a collaborative platform for sharing road information, interactive road signs arranged at the edges of road segment 4, or more generally a vehicular communication system (of the vehicle-with-everything type better known as the English name "Vehicle-to-Everything", or a specific system thereof such as Vehicle-to-Vehicle, Vehicle-to-Device, Vehicle-to-Infrastructure, or Vehicle-to-Network).
• remote servers such as a weather server, a road traffic information server, a server of a manager road infrastructure, a server of a collaborative platform for sharing road information, interactive road signs arranged at the edges of road segment 4, or more generally a vehicular communication system (of the vehicle-with-everything type better known as the English name "Vehicle-to-Everything", or a specific system thereof such as Vehicle-to-Vehicle,
• the data retrieved are, for example, information concerning the pavement (hydric state such as a wet pavement or the thickness of a film of water on the pavement, texture or structure of the coating such as porous asphalt, geometry of the road for example), meteorological data (temperature, rain, wind, snow, ice, recent rainy episode, volume of precipitation, fog, freezing fog, snow cover, ice for example), information on the state of road traffic (traffic , slowing down, a vehicle stopped on the road, an accident, or an object on the road for example).
• information concerning the pavement hydro state such as a wet pavement or the thickness of a film of water on the pavement, texture or structure of the coating such as porous asphalt, geometry of the road for example
• meteorological data temperature, rain, wind, snow, ice, recent rainy episode, volume of precipitation, fog, freezing fog, snow cover, ice for example
• information on the state of road traffic traffic , slowing down, a vehicle stopped on the road, an accident, or an object on the road for example.
• the device 2 is configured to identify (step 22 in Figure 2) at least one driving situation 31 of the motor vehicle 1 from a list of predefined driving situations 31 -33 considered likely to lead to a degradation of the grip (compared to a level of grip on dry pavement 5) of the motor vehicle 1.
• the list of predefined driving situations 31 -33 includes any context or phenomenon capable of altering the quality of contact between the tire of the motor vehicle 1 and the roadway 5 so as to cause at least a partial loss of grip.
• This list includes, for example, driving on a snowy road, driving on an icy road, driving on a wet road, driving on a flooded road, driving on a slippery road (hail, oil puddles, fuel or mud, or dead leaves on the roadway, for example).
• the list of driving situations 31 -33 covers in particular driving in difficult weather conditions (snow, rain, fog for example) where particular attention to the grip of the motor vehicle 1 is required, whether in autonomous or manual driving .
• a negative temperature measured by an on-board thermometer and/or provided by a meteorological server, and/or an image representing a bright road makes it possible to determine the driving situation 31 on a snow-covered road.
• data indicating a rainy episode fifteen minutes previously and an outside temperature within a predefined range (for example, between 3 and 12 degrees)
• the device 2 determines that the current driving situation 32 is a driving on a wet road.
• the device 2 comprises, in one embodiment, an automatic learning module (a convolutional neural network for example) able to determine a driving situation 31 from observations represented by the collected data.
• an automatic learning module a convolutional neural network for example
• Predefined feared events 41 -43 (or risks) linked to the grip of the motor vehicle 1 are associated with each of the predefined driving situations 31 -33 (for reasons of clarity, only feared events associated with the driving situation 31 are shown in Figure 3).
• a dreaded event 41 is any event caused by an at least partial loss of grip and considered outside the envisaged operation of the motor vehicle 1, in particular likely to lead or leading to a dangerous state.
• Feared events 41-43 include, for example, loss of control, collision, leaving the road, wheel skidding, or a combination thereof.
• the feared events 41 - 43 are, in one embodiment, dependent on the data retrieved (in particular, those relating to road traffic, the geometry of the road segment 4, the roadway 5, and/or the motor vehicle 1).
• the device 2 is configured to determine (step 23 of FIG. 2) the probabilities of occurrence of each of the feared events 41 -43 associated with the driving situation 31 of the motor vehicle 1 at different levels of anticipation. Probabilities of occurrence of a feared event 41 -43 are associated with different distances between motor vehicle 1 and point 3, or more generally with different levels 51 -54 of anticipation. Probabilities of occurrence are assigned beforehand to each of the feared events 41 -43 at levels 51 -54 of anticipation (that is to say, at distances between motor vehicle 1 and point 3 or the corresponding duration) different. The probability of occurrence of a feared event 41 may be different from one driving situation 31 to another and/or from one level 51 of anticipation to another.
• levels 51 -54 of anticipation associated with the dreaded event 41 are displayed in FIG. 3.
• a first probability of occurrence at a first level 51 of anticipation for example, 1 km from point 3
• a second probability of occurrence at a second level 52 of anticipation for example, 500 m from point 3
• a third probability of occurrence at a third level 53 of anticipation for example, 200 m from point 3
• a fourth probability of occurrence at a fourth level 54 of anticipation for example, 50 m from point 3
• a plurality of levels 51 -54 of anticipation can be envisaged.
• These levels 51 -54 of anticipation include, for example, levels extremes, namely very anticipated (motor vehicle 1 being sufficiently far from point 3) on the one hand and the total absence of anticipation on the other (motor vehicle 1 being substantially at point 3). Between these two levels, several other intermediate levels of anticipation can be envisaged.
• a first probability of occurrence associated with the distance d i.e. with a first level 51 of anticipation
• at least a second probability of occurrence associated with a distance less than the distance d ie at a second level 52-54 of anticipation
• forty probabilities of occurrence are therefore to be determined by the device 2.
• a probability of occurrence of the dreaded event 41 is determined at four different levels 51 -54 of anticipation
• the device 2 is configured to determine (step 24 in Figure 2) a rate 61 -64 of error in identifying the situation 31 of conduct at each level 51 - 54 of anticipation. In other words, the device 2 determines a reliability (or performance) coefficient or a rate of correct classification of the driving situation 31 of the motor vehicle 1 taking into account the data collected at a predefined distance from the point 3. This rate error is determined for each driving situation and for each level of anticipation. For example, if there are five driving situations and four levels of anticipation, the device 2 calculates twenty error rates.
• the device 2 calculates (step 25 of Figure 2) a risk of occurrence of each of the dreaded events 41 -43 associated with a driving situation 31 .
• this calculation integrates (or takes into account) the probabilities of occurrence of each dreaded event 41 at several levels 51 -54 of anticipation and the error rate in determining the driving situation 31 at which this dreaded event 41 is associated.
• the risk of occurrence of a feared event 41 is, in one embodiment, an accumulation of the probabilities of occurrence of this feared event 41 at several levels 51 -54 of anticipation taking into account an error rate in determining the driving situation 31 .
• the risk of occurrence of a feared event is, for example, equal to the sum of the products of its probability of occurrence at each of the levels 51 -54 of anticipation by one minus the error rate in determining the driving situation with which this feared event 41 is associated.
• the data retrieved by the device 2 are, for each driving situation 31 and for each level 51 -54 of anticipation, weighted or evaluated according to two criteria:
• the device 2 comprises data acquisition means, calculation means, and alert means for, respectively, the acquisition of data, the processing of the acquired data, and generating, if necessary, an alert.
• the device 2 can be embedded in the motor vehicle 1 (a computer of the motor vehicle 1) or at least partially distant. In the latter case, the device 2 comprises communication means able to communicate with the motor vehicle 1 or to a server to which this motor vehicle 1 is connected to retrieve measurements made by sensors on board this motor vehicle 1 or to communicate a alert to the attention of the driver of this motor vehicle 1.

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• Engineering & Computer Science (AREA)
• Automation & Control Theory (AREA)
• Transportation (AREA)
• Mechanical Engineering (AREA)
• Human Computer Interaction (AREA)
• Physics & Mathematics (AREA)
• Mathematical Physics (AREA)
• Traffic Control Systems (AREA)

Applications Claiming Priority (2)

Publications (1)

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ID=75339926

Family Applications (1)

Country Status (3)

Family Cites Families (5)

• 2021
  • 2021-02-16 FR FR2101469A patent/FR3119819B1/fr active Active
• 2022
  • 2022-01-11 EP EP22702760.4A patent/EP4294691A1/de active Pending
  • 2022-01-11 WO PCT/FR2022/050061 patent/WO2022175608A1/fr active Application Filing

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