EP4288954A1 - Procédé d'aide à l'infrastructure d'un véhicule à moteur - Google Patents

Procédé d'aide à l'infrastructure d'un véhicule à moteur

Info

Publication number
EP4288954A1
EP4288954A1 EP22709189.9A EP22709189A EP4288954A1 EP 4288954 A1 EP4288954 A1 EP 4288954A1 EP 22709189 A EP22709189 A EP 22709189A EP 4288954 A1 EP4288954 A1 EP 4288954A1
Authority
EP
European Patent Office
Prior art keywords
traffic
motor vehicle
infrastructure
determined
signals
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.)
Pending
Application number
EP22709189.9A
Other languages
German (de)
English (en)
Inventor
Stefan Nordbruch
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.)
Robert Bosch GmbH
Original Assignee
Robert Bosch GmbH
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 Robert Bosch GmbH filed Critical Robert Bosch GmbH
Publication of EP4288954A1 publication Critical patent/EP4288954A1/fr
Pending legal-status Critical Current

Links

Classifications

    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0108—Measuring and analyzing of parameters relative to traffic conditions based on the source of data
    • G08G1/0112—Measuring and analyzing of parameters relative to traffic conditions based on the source of data from the vehicle, e.g. floating car data [FCD]
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/07—Controlling traffic signals
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
    • G01S13/86—Combinations of radar systems with non-radar systems, e.g. sonar, direction finder
    • G01S13/865—Combination of radar systems with lidar systems
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
    • G01S13/86—Combinations of radar systems with non-radar systems, e.g. sonar, direction finder
    • G01S13/867—Combination of radar systems with cameras
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
    • G01S13/88—Radar or analogous systems specially adapted for specific applications
    • G01S13/91—Radar or analogous systems specially adapted for specific applications for traffic control
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S17/00—Systems using the reflection or reradiation of electromagnetic waves other than radio waves, e.g. lidar systems
    • G01S17/88—Lidar systems specially adapted for specific applications
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
    • G01S7/003—Transmission of data between radar, sonar or lidar systems and remote stations
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
    • G05D1/02—Control of position or course in two dimensions
    • G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
    • G05D1/0276—Control of position or course in two dimensions specially adapted to land vehicles using signals provided by a source external to the vehicle
    • G05D1/028—Control of position or course in two dimensions specially adapted to land vehicles using signals provided by a source external to the vehicle using a RF signal
    • G05D1/0282—Control of position or course in two dimensions specially adapted to land vehicles using signals provided by a source external to the vehicle using a RF signal generated in a local control room
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
    • G06F21/44—Program or device authentication
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/50—Context or environment of the image
    • G06V20/56—Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0108—Measuring and analyzing of parameters relative to traffic conditions based on the source of data
    • G08G1/0116—Measuring and analyzing of parameters relative to traffic conditions based on the source of data from roadside infrastructure, e.g. beacons
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0125—Traffic data processing
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0125—Traffic data processing
    • G08G1/0129—Traffic data processing for creating historical data or processing based on historical data
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0125—Traffic data processing
    • G08G1/0133—Traffic data processing for classifying traffic situation
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
    • G08G1/0145—Measuring and analyzing of parameters relative to traffic conditions for specific applications for active traffic flow control
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/04—Detecting movement of traffic to be counted or controlled using optical or ultrasonic detectors
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/07—Controlling traffic signals
    • G08G1/08—Controlling traffic signals according to detected number or speed of vehicles
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/09—Arrangements for giving variable traffic instructions
    • G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
    • G08G1/0967—Systems involving transmission of highway information, e.g. weather, speed limits
    • G08G1/096708—Systems involving transmission of highway information, e.g. weather, speed limits where the received information might be used to generate an automatic action on the vehicle control
    • G08G1/096725—Systems involving transmission of highway information, e.g. weather, speed limits where the received information might be used to generate an automatic action on the vehicle control where the received information generates an automatic action on the vehicle control
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/09—Arrangements for giving variable traffic instructions
    • G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
    • G08G1/0967—Systems involving transmission of highway information, e.g. weather, speed limits
    • G08G1/096766—Systems involving transmission of highway information, e.g. weather, speed limits where the system is characterised by the origin of the information transmission
    • G08G1/096783—Systems involving transmission of highway information, e.g. weather, speed limits where the system is characterised by the origin of the information transmission where the origin of the information is a roadside individual element
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
    • G01S13/88—Radar or analogous systems specially adapted for specific applications
    • G01S13/93—Radar or analogous systems specially adapted for specific applications for anti-collision purposes
    • G01S13/931—Radar or analogous systems specially adapted for specific applications for anti-collision purposes of land vehicles
    • G01S2013/9316—Radar or analogous systems specially adapted for specific applications for anti-collision purposes of land vehicles combined with communication equipment with other vehicles or with base stations

Definitions

  • the invention relates to a method for infrastructure-supported assistance in a motor vehicle, a device, a computer program and a machine-readable storage medium.
  • Patent specification DE 10 2017220420 B3 discloses a method for generating a collection of traffic information.
  • the publication JP 2020 045090 A discloses a method for assisting automatic control of a vehicle.
  • a method for infrastructure-supported assistance in a motor vehicle comprising the following steps: receiving signals from the surroundings, which represent the surroundings of the motor vehicle,
  • a device in particular an RSU, is provided which is set up to carry out all the steps of the method according to the first aspect.
  • a computer program which comprises instructions which, when the computer program is executed by a computer, for example by the device according to the second aspect, cause it to carry out a method according to the first aspect.
  • a machine-readable storage medium on which the computer program according to the third aspect is stored.
  • the invention is based on and includes the knowledge that the above object is achieved in that a suggestion is made to an operator as to which traffic-guiding traffic measure he could initiate or initiate in order to support the motor vehicle or to assist the motor vehicle.
  • a suggestion is made to an operator as to which traffic-guiding traffic measure he could initiate or initiate in order to support the motor vehicle or to assist the motor vehicle.
  • an operator had to decide for himself which traffic-directing system to use based on video surveillance Traffic measure (best) suited to support a motor vehicle in a given traffic situation.
  • a proposal for such a traffic measure is automatically submitted to the operator, so that the operator can be efficiently supported in his task of supporting the motor vehicle using an infrastructure.
  • the automatic submission of a corresponding suggestion can save time on the part of the operator, since the operator no longer has to plan any time for determining which traffic measure is suitable.
  • the technical advantage is thus brought about that the motor vehicle can be efficiently supported by the infrastructure or that the motor vehicle can be efficiently assisted by the infrastructure.
  • the suggestion is therefore a suggestion for the further procedure or is a recommendation for action to the operator.
  • operator as used in the description includes, for example, a human person and/or an at least partially automated operator system.
  • Infrastructure-supported assistance to a motor vehicle in the sense of the description means in particular that infrastructure assistance data is made available to the motor vehicle.
  • the motor vehicle can, for example, derive instructions for action.
  • the motor vehicle can itself decide what to do.
  • the traffic-controlling traffic measure is an element selected from the following group of traffic-controlling traffic measures: controlling a traffic light system in such a way that it signals a specific signal aspect, opening a lane, closing a lane, diverting traffic to a lane, blocking a road, closing a tunnel, requesting service assistance (e.g. requesting roadside assistance and/or towing service), requesting emergency assistance (e.g. requesting police and/or fire brigade and/or ambulance and/or ambulance and/or rescue helicopter).
  • requesting service assistance e.g. requesting roadside assistance and/or towing service
  • requesting emergency assistance e.g. requesting police and/or fire brigade and/or ambulance and/or ambulance and/or rescue helicopter.
  • traffic measure signals are received which represent a traffic control measure initiated by the operator, infrastructure assistance data for infrastructure-supported assistance of the motor vehicle being determined based on the traffic measure signals, infrastructure assistance data signals being sent to the motor vehicle which represent the determined infrastructure assistance data.
  • the traffic measure initiated by the operator can also be referred to as an operator traffic measure.
  • the operator traffic measure can be, for example, the traffic measure according to the proposal or another traffic-directing traffic measure.
  • a future traffic situation is predicted based on the determined traffic situation, with the proposal for a traffic control measure being determined based on the predicted future traffic situation.
  • a check is made as to whether the operator initiates the determined traffic-controlling traffic measure and/or another traffic-controlling traffic measure, the traffic-controlling traffic measure being initiated automatically based on a result of the check.
  • the traffic control measure can be carried out as a function of a reaction by the operator. If the check reveals that the operator is not carrying out the determined traffic control measure, then this is automatically initiated. If the check shows that the operator has initiated another traffic-controlling traffic measure than the determined traffic-controlling traffic measure, the determined traffic-controlling traffic measure will not be initiated, with the operator being informed that there is a difference between the determined traffic-controlling traffic measure and the one he initiated there are traffic-directing measures, with an optional consequence being determined from this difference, for example, with the operator also being informed about the determined consequence, for example.
  • the technical advantage is brought about that the operator has ultimate responsibility for initiating a traffic control measure. Nevertheless, he is advised that, depending on the consequence, he will initiate something that he himself does not want, because he was wrong, for example.
  • the individual method steps according to this embodiment are documented, for example (see also the explanations regarding the documentation further below).
  • the several motor vehicles are prioritized based on the determined traffic situations in order to assign a priority to the motor vehicles, priority signals being output which represent the priorities assigned to the several motor vehicles, the Proposal for a traffic-directing traffic measure is determined based on the priorities assigned to the several motor vehicles.
  • the motor vehicles which receive infrastructure assistance from the infrastructure assistance data are prioritized, a priority being assigned to the motor vehicles in accordance with the prioritization.
  • the proposal is determined based on the priorities.
  • the motor vehicles require different traffic management measures, for example. If one motor vehicle is informed of a certain traffic behavior on an electronic display in the vicinity of the motor vehicle, another motor vehicle needs, for example, a lane closure as a traffic control measure.
  • the infrastructure assistance can be carried out more precisely.
  • the traffic management measure for the motor vehicle with the highest priority is determined.
  • One embodiment provides that an individual criticality is determined for each of the several motor vehicles, with the individual criticality indicating an individual accident probability for the respective motor vehicle, that the respective motor vehicle will have an accident, with the motor vehicles being prioritized based on the determined individual criticalities will.
  • an individual criticality is determined for each motor vehicle. i.e. that is, it is determined individually for each motor vehicle how critical a current individual traffic situation is for the motor vehicle. The more critical the current individual traffic situation is for a particular motor vehicle, the higher the priority for this motor vehicle. It is thus possible to efficiently take account of the fact that a motor vehicle which is in a critical individual traffic situation requires more infrastructure assistance than a motor vehicle which is in a less critical individual traffic situation. The suggestion can thus be determined precisely for the motor vehicle or motor vehicles which are in a particularly critical individual traffic situation.
  • the method is a computer-implemented method.
  • the motor vehicle is a motor vehicle that is at least partially automated.
  • the phrase "at least partially automated driving” includes one or more of the following cases: assisted driving, partially automated driving, highly automated driving, fully automated driving.
  • Assisted driving means that a driver of the motor vehicle permanently executes either the lateral or the longitudinal guidance of the motor vehicle.
  • the respective other driving task that is, controlling the longitudinal or lateral guidance of the motor vehicle
  • Partially automated driving means that in a specific situation (for example: driving on a motorway, driving within a parking lot, overtaking an object, driving within a lane defined by lane markings) and/or for a certain period of time, a Longitudinal and lateral guidance of the motor vehicle are controlled automatically.
  • a driver of the motor vehicle does not have to manually control the longitudinal and lateral guidance of the motor vehicle.
  • the driver must constantly monitor the automatic control of the longitudinal and lateral guidance in order to be able to intervene manually if necessary. The driver must be ready to take full control of the vehicle at any time.
  • Highly automated driving means that for a certain period of time in a specific situation (for example: driving on a freeway, driving within a parking lot, overtaking an object, driving within a lane defined by lane markings) a longitudinal and a lateral guidance of the motor vehicle can be controlled automatically.
  • a driver of the motor vehicle does not have to manually adjust the longitudinal and Control lateral guidance of the motor vehicle.
  • the driver does not have to constantly monitor the automatic control of the longitudinal and lateral guidance in order to be able to intervene manually if necessary.
  • a takeover request is automatically issued to the driver to take over control of the longitudinal and lateral guidance, in particular with a sufficient time reserve.
  • the driver must therefore potentially be able to take over control of the longitudinal and lateral guidance.
  • Limits of the automatic control of the lateral and longitudinal guidance are recognized automatically. With highly automated guidance, it is not possible to automatically bring about a risk-minimum state in every initial situation.
  • Fully automated driving means that in a specific situation (for example: driving on a freeway, driving within a parking lot, overtaking an object, driving within a lane defined by lane markings), longitudinal and lateral guidance of the motor vehicle be controlled automatically.
  • a driver of the motor vehicle does not have to manually control the longitudinal and lateral guidance of the motor vehicle.
  • the driver does not have to monitor the automatic control of the longitudinal and lateral guidance in order to be able to intervene manually if necessary.
  • the driver is automatically prompted to take over the driving task (controlling the lateral and longitudinal guidance of the motor vehicle), in particular with a sufficient time reserve. If the driver does not take over the task of driving, the system automatically returns to a risk-minimum state. Limits of the automatic control of the lateral and longitudinal guidance are recognized automatically. In all situations it is possible to automatically return to a risk-minimum system state.
  • One embodiment of the method provides for the motor vehicle to be guided manually by a driver (automation level 0).
  • the surroundings signals include surroundings sensor signals from one or more surroundings sensors.
  • An environment sensor within the meaning of the description is, for example, one of the following environment sensors: radar sensor, lidar sensor, ultrasonic sensor, video sensor, magnetic field sensor and infrared sensor.
  • the environment sensor is, for example, an environment sensor of the motor vehicle, ie an environment sensor of the motor vehicle.
  • the environment sensor is, for example, an environment sensor of the infrastructure, ie an infrastructure environment sensor.
  • at least one surroundings sensor is a motor vehicle surroundings sensor and/or at least one surroundings sensor is an infrastructure surroundings sensor, for example.
  • Infrastructural environment sensors are arranged in a spatially distributed manner, for example.
  • one or more method steps are documented, in particular documented in a blockchain.
  • the documentation in a blockchain has the technical advantage that the documentation is tamper-proof and forgery-proof.
  • a blockchain is in particular a continuously expandable list of data sets, called “blocks”, which are linked together using one or more cryptographic processes.
  • Each block contains in particular a cryptographically secure hash (scatter value) of the previous block, in particular a time stamp and in particular transaction data.
  • a man-machine interface is controlled based on the suggestion signals in order to provide the suggested suggestion in human-understandable form.
  • the man-machine interface comprises, for example, a display device, for example a screen.
  • FIG. 4 shows a motor vehicle which is driving within an infrastructure.
  • Analyzing 103 the environment to determine a traffic situation in which the motor vehicle is located
  • Determining 105 a proposal for a traffic control measure for infrastructure-supported assistance of the motor vehicle for an operator based on the determined traffic situation
  • Fig. 2 shows a device 201.
  • the device 201 is set up to carry out all the steps of the method according to the first aspect.
  • device 201 includes the following: a communication device that is set up to receive signals from the surroundings that represent the surroundings of the motor vehicle, and a processor device that is set up to analyze the surroundings in order to determine a traffic situation in which the motor vehicle is located, wherein the processor device is set up to determine a suggestion for a traffic control measure for infrastructure-supported assistance of the motor vehicle for an operator based on the determined traffic situation, wherein the communication device is set up to output suggestion signals, in particular to send them via a communication network, which represent the identified proposal.
  • Fig. 3 shows a machine-readable storage medium 301.
  • a computer program 303 is stored on the machine-readable storage medium 301, which comprises instructions which, when the computer program 303 is executed by a computer, cause the latter to execute a method according to the first aspect.
  • FIG. 4 shows a motor vehicle 401 driving within an infrastructure 403 .
  • the infrastructure 403 includes a road 405 on which the motor vehicle 401 is driving.
  • the infrastructure 403 also includes a video sensor 407, a radar sensor 409 and a lidar sensor 411, these three infrastructure environment sensors being spatially distributed within the infrastructure 403 and detecting an environment of the motor vehicle 401. Environment signals corresponding to the respective acquisition, which represent the environment acquired in each case, are provided to an RSU 413 .
  • the RSU 413 is the Device formed according to the second aspect, so that further explanations are omitted.
  • the RSU 413 receives the environment signals, determines infrastructure assistance data based on the environment signals and sends infrastructure assistance data signals representing the infrastructure assistance data to the motor vehicle 401.
  • the RSU 413 can control a traffic signal system 415, for example.
  • the infrastructure assistance data includes control commands for controlling the light signal system 415 in such a way that it displays a red signal in order to signal the motor vehicle 401 that it should stop. This is advantageous, for example, when RSU 413 has determined, based on an analysis of the surroundings, that there is a critical situation in the direction of travel of the motor vehicle.
  • a cloud database 417 is also optionally provided, which can make historical traffic data available to the RSU 413, for example, on the basis of which the RSU 413 determines the infrastructure assistance data.
  • the motor vehicle 401 includes a roof-side video sensor 419, which detects the surroundings of the motor vehicle 401 and outputs surrounding signals corresponding to the detection. These surroundings signals are sent to the RSU 413 by means of the motor vehicle 401, for example, so that the latter determines the infrastructure assistance data based on these additional surroundings signals.
  • FIG. 4 Five double arrows are also shown in FIG. 4: a first double arrow 421, a second double arrow 423, a third double arrow 425, a fourth double arrow 426 and a fifth double arrow 429. These symbolize a respective communication link between individual elements shown in FIG. 4
  • the first double arrow 421 symbolizes a communication connection between the motor vehicle 401 and the cloud database 417.
  • the motor vehicle 401 can, for example, use the surroundings signals of the video camera 419 in upload to the cloud database 417, where they are further processed and, for example, merged with environment signals from other environment sensors of other motor vehicles in order to determine a merged environment model, which is sent to the RSU 413.
  • the second double-headed arrow 423 symbolizes a communication link between motor vehicle 401 and traffic signal system 415.
  • traffic signal system 415 can send a remaining green time to motor vehicle 401, so that based on this the motor vehicle is guided at least partially automatically, for example by adjusting a speed of the remaining green time .
  • the third double arrow 425 symbolizes a communication connection between the RSU 413 and the cloud database 417.
  • the fourth double arrow 426 symbolizes a communication connection between the motor vehicle 401 and the RSU 413.
  • the fifth double arrow 429 symbolizes a communication connection between the RSU 413 and an operator 431.
  • Lock symbols with the reference number 427 are also drawn in in FIG. 4 in order to make it clear that the individual communication connections or the transmitted information or data are, for example, optionally encrypted. This therefore means that an encrypted communication connection is optionally set up between the individual communication participants or partners. This means that the individual information or data is optionally stored in encrypted form.
  • the RSU 413 performs an embodiment of the method of the first aspect. Accordingly, it outputs the suggestion signals. For example, these are sent to the operator 431, for example via a communication network.
  • the operator 431 is thus able to plan and/or initiate and/or control actions based on the suggestion, symbolically represented by squares with the reference numbers 433, 435, 437, which is symbolically represented by an arrow with the reference number 439 is.
  • the operator 431 can accept, reject, or modify the suggestion.
  • the RSU 413 can determine infrastructure assistance data for the motor vehicle 401 based on the actions 433 , 435 , 437 .

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Remote Sensing (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Analytical Chemistry (AREA)
  • Chemical & Material Sciences (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Electromagnetism (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Security & Cryptography (AREA)
  • Atmospheric Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • General Engineering & Computer Science (AREA)
  • Software Systems (AREA)
  • Computer Hardware Design (AREA)
  • Multimedia (AREA)
  • Aviation & Aerospace Engineering (AREA)
  • Automation & Control Theory (AREA)
  • Traffic Control Systems (AREA)

Abstract

La présente invention concerne un procédé d'aide à l'infrastructure d'un véhicule à moteur, comprenant les étapes suivantes consistant à : recevoir des signaux d'environnement qui sont représentatifs d'un environnement du véhicule à moteur ; analyser l'environnement afin de déterminer une situation de circulation dans laquelle se trouve le véhicule à moteur ; déterminer une suggestion pour une mesure de commande de trafic de direction de trafic pour l'aide à l'infrastructure du véhicule à moteur pour un opérateur sur la base de la situation de trafic déterminée ; délivrer en sortie des signaux de suggestion qui sont représentatifs de la suggestion déterminée. L'invention concerne en outre dispositif, un programme informatique et un support de stockage lisible par machine.
EP22709189.9A 2021-02-08 2022-01-27 Procédé d'aide à l'infrastructure d'un véhicule à moteur Pending EP4288954A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
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