EP3782072A1 - Erprobung eines fahrzeugs mit simulierten verkehrsteilnehmern - Google Patents
Erprobung eines fahrzeugs mit simulierten verkehrsteilnehmernInfo
- Publication number
- EP3782072A1 EP3782072A1 EP19717771.0A EP19717771A EP3782072A1 EP 3782072 A1 EP3782072 A1 EP 3782072A1 EP 19717771 A EP19717771 A EP 19717771A EP 3782072 A1 EP3782072 A1 EP 3782072A1
- Authority
- EP
- European Patent Office
- Prior art keywords
- vehicle
- control device
- sensor data
- virtual object
- data interface
- 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.)
- Ceased
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; 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
- G06V20/58—Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads
-
- 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
- G01S13/93—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
- G01S2013/9323—Alternative operation using light waves
-
- 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
- G01S2013/9324—Alternative operation using ultrasonic waves
Definitions
- the invention relates to a system, in particular a system having a data interface and a simulation unit and vehicle control device connected thereto, wherein the simulation unit generates in particular a virtual object and transmits artificially generated sensor data to the data interface, and a vehicle with such a system and a method for Operating a vehicle.
- the object of the invention is to safely test a vehicle in various traffic situations for safety-critical functions.
- a first aspect of the invention relates to a system.
- the system has a vehicle control device of a vehicle and a data interface, wherein the data intersection can be connected to a sensor device for acquiring sensor data about objects in the surroundings of the vehicle and wherein the data interface for transmitting the sensor data to the vehicle control device is executed ,
- the vehicle control device is designed to generate a control signal S for the vehicle based on the sensor data.
- the system has a simulation unit connected to the data interface. The simulation unit is designed to generate a virtual object and to transmit to the data interface artificially generated sensor data based on the virtual object.
- the data interface is arranged on the vehicle control device.
- the simulation unit or the sensor device can be connected to the data interface (per sensor signal) so that the sensor device is preferably removed from the data interface in the operation of the system according to the invention and the simulation unit is instead connected to it.
- the vehicle may be a car, truck, bus, rail vehicle, watercraft, for example, a ship, an underwater vehicle, or an aircraft.
- the virtual object is at least one of:
- the fact that the sensor data is generated "based on the virtual object" means that the sensor data has such content as if a real sensor device had detected a real object rather than a virtual object.
- the vehicle control device is preferably a computing unit, or in other words an "on-board computer" of the vehicle. Furthermore, the vehicle control device is preferably designed to transmit control signals to the vehicle for the (semi-) automatic or furthermore preferably (semi-) autonomous operation of the vehicle. The control signals are intended in particular for drives and actuators of the vehicle.
- the vehicle control device preferably has the function of an "autopilot" in this respect, ie. H. a vehicle subsystem for automatically operating the vehicle within a predetermined route guidance for the vehicle.
- the vehicle control device uses the sensor data detected by the sensor unit or generated by the simulation unit about objects in the surroundings of the vehicle. On the basis of this sensor data, the vehicle control device determines, in particular, a movement path to be taken by the vehicle, and furthermore preferably a trajectory of the vehicle.
- artificially generated sensor data are transferred to the interface, which receives sensor data from the sensor unit during the other operation of the vehicle and transmits it to the vehicle control device.
- These sensor data are in particular designed by the simulation unit in such a way that the algorithms executed on the vehicle control device transmit the sensor data from a virtual reality
- the artificially generated sensor data are preferably designed such that they according to their data structure, their sampling frequency (so-called “sample time” or “sampling rate”) and their information correspond to the sensor data from a physically-real sensor unit.
- the data interface is preferably an interface in a CAN bus system.
- the vehicle control device is designed to transmit a value of a state variable of the vehicle to the simulation unit, wherein the simulation unit is designed to generate the virtual object as a function of the value of the state variable.
- trajectory describes, in particular, a movement path of the traffic participant or the vehicle under consideration, each location of which is considered at a specific point in time.
- the virtual object is a virtual other road user and the dependence is determined by the value of the state variable from a driver model of the road user.
- the driver model is in particular configured and designed such that it contains typified behaviors of a human driver.
- the driver model has the possibility and - preferably to - the respective behavior on lane changes, when overtaking, in the case of congestion, dense driving, as well as different and special driving styles when driving in the city and when driving overland.
- this special type of dependency generates further virtual road users interacting with their own physically-real vehicle.
- a real traffic situation with high simulation quality is advantageously mapped by virtual objects and interacting road users in a self-organizing traffic scenario.
- the vehicle control device is designed to apply an analysis method for detecting a dangerous situation to the sensor data and to generate an emergency control signal S Not when recognizing a dangerous situation, wherein the simulation unit is designed to generate the virtual object in this way in that the artificially generated sensor data based on the virtual object lead to the recognition of a dangerous situation in the vehicle inspection device.
- the emergency control signal S Not leads in particular to an emergency braking, which has a high material load and which would apply, especially in road traffic, a human driver only in dangerous situations, since this causes an uncomfortable acceleration on the body of the driver and In addition, an insensitive driver may incur a rear-end collision with an unobservant driver. Further preferably, the emergency control signal S Not leads to an aggressive avoidance maneuver, which likewise in particular high (transverse) acceleration forces on the driver of the Vehicle causes.
- the virtual unit (s) are generated by the simulation unit in such a way that a collision between the own vehicle and the virtual object threatens, so that sensor data created in this way are generated based on the virtual object, provoking a virtual collision and thus by the vehicle control device after application of the analysis procedure, a dangerous situation is detected on the sensor data and then the emergency control signal S is generated need.
- the above-mentioned extreme driving maneuvers and an imminent collision can be simulated without actually threatening a physical collision and the associated damage.
- the state variable has at least one of the following components:
- control signal S and the emergency control signal S Not each have a steering signal for setting a steering angle of at least one rotatable wheel of the vehicle and / or a brake signal for driving a brake device of the vehicle.
- the sensor device has at least one of the following elements:
- Another aspect of the invention relates to a vehicle having a system as described above and below.
- Another aspect of the invention relates to a method for operating a vehicle, wherein the vehicle has a vehicle control device and a data interface.
- the data interface can be connected to a sensor device for detecting sensor data about objects in the surroundings of the vehicle, the data interface being designed to transmit the sensor data to the vehicle control device.
- the method comprises the following steps:
- a virtual object is generated by a simulation unit, wherein the simulation unit is connected to the data interface.
- transmission of artificially generated sensor data based on the virtual object to the data interface takes place by the simulation unit, and in the following step generation of a control signal S for the vehicle based on the artificially generated sensor data by the vehicle control device.
- the method further comprises the following steps: Applying an analysis method for detecting a dangerous situation to the sensor data by the vehicle control device, and generating an emergency control signal S Not when detecting a dangerous situation by the vehicle control device, wherein the simulation unit generates the virtual object in such a way that the artificially generated sensor data based on the virtual object lead to the recognition of a dangerous situation in the vehicle control device.
- Show it: 1 shows a vehicle with a system according to an embodiment of the invention
- Fig. 2 shows an application of a system according to another embodiment of the invention.
- FIG 3 shows a method for operating a vehicle with a system according to a further exemplary embodiment of the invention.
- the 1 shows a vehicle 1 with a system 100.
- the system 100 has a vehicle control device 3, which is arranged in the vehicle 1 itself.
- the vehicle control device 3 is an on-board computer of the vehicle 1, which is set up and designed to execute driver assistance systems.
- a data interface 5 is arranged on the vehicle control device 3, wherein the data interface 5 can be connected to a sensor device 7 for detecting sensor data about objects in the surroundings of the vehicle 1.
- the sensor device 7 has a radar unit, a lidar unit and a stereo camera whose individual data can be fused in sensor data fusion to form an overall image of the environment and in particular of the objects located therein.
- the configuration of the data interface sections 5 permanently connected to the sensor device 7 is used during normal operation of the vehicle 1.
- the data interface 5 is basically designed to transmit the sensor data to the vehicle control device 3.
- the vehicle control device 3 is also basically designed to generate a control signal S for the vehicle 1 based on the sensor data.
- a simulation unit 9 is connected to the data interface 5, the simulation unit 9 being designed to generate a virtual object 11 and to transmit artificially generated sensor data based on the virtual object 11 to the data interface 5 ,
- FIG. 2 shows a system 100, as shown in FIG. 1, in use, wherein the system 100 is completely integrated in a vehicle 1.
- the vehicle control device 3 transmits a respective value of two state variables of the vehicle 1 to the simulation unit 9.
- the first of the state variables of the vehicle 1 is a position of the vehicle 1, which
- the simulation unit 9 generates a multiplicity of virtual objects 11, with some of the virtual objects 11 being generated as a function of the value of the respective state variable.
- other road users 11 are simulated by the simulation unit 9, and sensor data formed in this way are artificially generated and transferred to the data interface 5 in such a way that the sensor data received by the vehicle control device 3 by means of the data interface 5 are output in the vehicle control device 3 and there Algorithms and driver assistance systems capture these virtual road users 1 1 and other objects 11 as if they were real. Furthermore, a dependency on the value of the respective state variable from a driver model of the traffic participant is determined by the simulation unit 9. This serves to create an interaction between a model of the virtual road user 11 and the real vehicle 1.
- the model is preferably a driver model of a motorized road user 11 or a behavioral model of a virtual pedestrian 1 1, which is in position and speed and in general Behavior of the own vehicle 1 reacts.
- a traffic sign (“advance gesture" sign) is represented as a further virtual object 11.
- a virtual oncoming vehicle 11 generates a hypothetical dangerous situation by driving over the middle marking of the road shown, upon detection of such a driver assistance system implemented on the vehicle control device 3, a corresponding avoidance maneuver for preventing a collision with the virtual vehicle 1 1 executes. This corresponds to an intended procedure of the simulation unit 9 in order to provoke precisely this behavior of the driver assistance systems of the vehicle 1.
- the vehicle control device 3 is in fact designed to apply an analysis method for detecting a dangerous situation to the sensor data and to generate an emergency control signal S Not when a dangerous situation is detected.
- the simulation unit 9 generates the virtual oncoming vehicle 1 1 in such a way that the artificially generated sensor data based on the virtual object 11 leads to recognition of a dangerous situation in the vehicle control device 3.
- the evasive maneuver of the vehicle 1 triggered thereby is triggered by the corresponding emergency control signal S Not , which has a steering signal for setting a steering angle of the steerable front wheels of the vehicle 1 and a brake signal for driving a braking device of the vehicle 1.
- the driver assistance system is designed so that the located at the edge of the road virtual pedestrian 1 1 be taken into account in the evasive maneuver so that they, as the most vulnerable road users, are not harmed by the avoidance maneuver.
- the vehicle 3 shows a method for operating a vehicle 1, the vehicle 1 having a vehicle control device 3 and a data interface 5, wherein the data interface 5 can be connected to a sensor device 7 for acquiring sensor data about objects in the surroundings of the vehicle 1 and wherein the data interface 5 is designed to transmit the sensor data to the vehicle control device 3.
- the generation S1 of a virtual object 11 is carried out by a simulation unit 9.
- the virtual object 11 is another virtual vehicle.
- the simulation unit 9 is connected to the data interface 5.
- S2 transmits the simulation unit 9 based on the virtual object 11 artificially generated sensor data to the data interface 5, wherein the artificially generated sensor data to those of a physically-real sensor unit 7 are structurally and content compatible.
- the generation S3 of a control signal S for the vehicle 1 is performed based on the artificially generated sensor data by the vehicle control device 3.
- S4 of an analysis method for detecting a hazardous situation to the sensor data by the vehicle control device 3
- An emergency control signal S Not generates S5 by the vehicle control device 3, wherein the simulation unit 9 generates the virtual object 11 so that the artificially generated sensor data based on the virtual object 11 lead to the recognition of a dangerous situation in the vehicle control device 3.
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Theoretical Computer Science (AREA)
- Traffic Control Systems (AREA)
Abstract
Description
Claims
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| DE102018003130.7A DE102018003130A1 (de) | 2018-04-17 | 2018-04-17 | Erprobung eines Fahrzeugs mit simulierten Verkehrsteilnehmern |
| PCT/EP2019/058197 WO2019201580A1 (de) | 2018-04-17 | 2019-04-01 | Erprobung eines fahrzeugs mit simulierten verkehrsteilnehmern |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| EP3782072A1 true EP3782072A1 (de) | 2021-02-24 |
Family
ID=66182489
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| EP19717771.0A Ceased EP3782072A1 (de) | 2018-04-17 | 2019-04-01 | Erprobung eines fahrzeugs mit simulierten verkehrsteilnehmern |
Country Status (4)
| Country | Link |
|---|---|
| EP (1) | EP3782072A1 (de) |
| DE (1) | DE102018003130A1 (de) |
| MA (1) | MA52283A (de) |
| WO (1) | WO2019201580A1 (de) |
Families Citing this family (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| SE544204C2 (en) * | 2020-04-15 | 2022-03-01 | Scania Cv Ab | Method and control arrangement for vehicle self-diagnosis |
| DE102021200452A1 (de) * | 2021-01-19 | 2022-07-21 | Psa Automobiles Sa | Verfahren und Trainingssystem zum Trainieren eines kamerabasierten Steuerungssystems |
| DE102022118631A1 (de) * | 2022-07-26 | 2024-02-01 | Dr. Ing. H.C. F. Porsche Aktiengesellschaft | Verfahren, System und Computerprogrammprodukt zur Validierung eines Fahrerassistenzsystems (ADAS) und/oder eines automatisierten Fahrsystems (ADS) |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE102004057947A1 (de) * | 2004-11-30 | 2006-06-08 | Audi Ag | Verfahren zur Funktionsprüfung eines kraftfahrzeugseitig integrierten Fahrerassistenzsystems |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE102013207546A1 (de) * | 2013-04-25 | 2014-10-30 | Bayerische Motoren Werke Aktiengesellschaft | System zum Testen einer Abstandsregelvorrichtung |
| US9950619B1 (en) * | 2015-09-30 | 2018-04-24 | Waymo Llc | Occupant facing vehicle display |
| US9740944B2 (en) * | 2015-12-18 | 2017-08-22 | Ford Global Technologies, Llc | Virtual sensor data generation for wheel stop detection |
| US10323952B2 (en) * | 2016-04-26 | 2019-06-18 | Baidu Usa Llc | System and method for presenting media contents in autonomous vehicles |
-
2018
- 2018-04-17 DE DE102018003130.7A patent/DE102018003130A1/de not_active Withdrawn
-
2019
- 2019-04-01 EP EP19717771.0A patent/EP3782072A1/de not_active Ceased
- 2019-04-01 MA MA052283A patent/MA52283A/fr unknown
- 2019-04-01 WO PCT/EP2019/058197 patent/WO2019201580A1/de not_active Ceased
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE102004057947A1 (de) * | 2004-11-30 | 2006-06-08 | Audi Ag | Verfahren zur Funktionsprüfung eines kraftfahrzeugseitig integrierten Fahrerassistenzsystems |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2019201580A1 (de) | 2019-10-24 |
| DE102018003130A1 (de) | 2019-10-17 |
| MA52283A (fr) | 2021-02-24 |
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