EP4165614A1 - System zum testen eines fahrerassistenzsystems eines fahrzeugs - Google Patents
System zum testen eines fahrerassistenzsystems eines fahrzeugsInfo
- Publication number
- EP4165614A1 EP4165614A1 EP21745205.1A EP21745205A EP4165614A1 EP 4165614 A1 EP4165614 A1 EP 4165614A1 EP 21745205 A EP21745205 A EP 21745205A EP 4165614 A1 EP4165614 A1 EP 4165614A1
- Authority
- EP
- European Patent Office
- Prior art keywords
- driver
- sensor
- driver assistance
- assistance system
- interior
- 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
Links
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING SYSTEMS, e.g. PERSONAL CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B29/00—Checking or monitoring of signalling or alarm systems; Prevention or correction of operating errors, e.g. preventing unauthorised operation
- G08B29/18—Prevention or correction of operating errors
- G08B29/20—Calibration, including self-calibrating arrangements
-
- 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
- B60W40/08—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 drivers or passengers
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/16—Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state
- A61B5/18—Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state for vehicle drivers or machine operators
-
- 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
- B60W50/04—Monitoring the functioning of the control system
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M17/00—Testing of vehicles
- G01M17/007—Wheeled or endless-tracked vehicles
-
- 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
- G06V20/59—Context or environment of the image inside of a vehicle, e.g. relating to seat occupancy, driver state or inner lighting conditions
- G06V20/597—Recognising the driver's state or behaviour, e.g. attention or drowsiness
-
- 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
- B60W40/08—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 drivers or passengers
- B60W2040/0818—Inactivity or incapacity of driver
-
- 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
- B60W40/08—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 drivers or passengers
- B60W2040/0818—Inactivity or incapacity of driver
- B60W2040/0827—Inactivity or incapacity of driver due to sleepiness
-
- 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
- B60W40/08—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 drivers or passengers
- B60W2040/0818—Inactivity or incapacity of driver
- B60W2040/0836—Inactivity or incapacity of driver due to alcohol
-
- 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
- B60W40/08—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 drivers or passengers
- B60W2040/0818—Inactivity or incapacity of driver
- B60W2040/0845—Inactivity or incapacity of driver due to drugs
-
- 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
- B60W40/08—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 drivers or passengers
- B60W2040/0872—Driver physiology
-
- 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
- B60W2540/00—Input parameters relating to occupants
- B60W2540/22—Psychological state; Stress level or workload
-
- 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
- B60W2540/00—Input parameters relating to occupants
- B60W2540/221—Physiology, e.g. weight, heartbeat, health or special needs
-
- 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
- B60W2540/00—Input parameters relating to occupants
- B60W2540/223—Posture, e.g. hand, foot, or seat position, turned or inclined
-
- 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
- B60W2540/00—Input parameters relating to occupants
- B60W2540/229—Attention level, e.g. attentive to driving, reading or sleeping
-
- 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
- B60W2540/00—Input parameters relating to occupants
- B60W2540/24—Drug level, e.g. alcohol
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING SYSTEMS, e.g. PERSONAL CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/06—Alarms for ensuring the safety of persons indicating a condition of sleep, e.g. anti-dozing alarms
Definitions
- the invention relates to a system for testing a driver assistance system of a vehicle, the driver assistance system having at least one interior sensor and being set up to process sensor signals from the at least one interior sensor for observing a driver of the vehicle.
- an adaptive distance control system also known as Adaptive Cruise Control (ACC) adjusts a desired speed selected by the driver adaptively to a distance from a vehicle in front.
- driver assistance systems are ACC stop-and-go systems, which, in addition to ACC, automatically keep the vehicle moving in a traffic jam or when the vehicle is stationary, lane keeping or lane assist systems that automatically keep the vehicle in the vehicle's lane , and pre-crash systems that, if a collision is possible, prepare or initiate braking, for example, in order to take the kinetic energy out of the vehicle, and initiate further measures if a collision is unavoidable.
- driver assistance systems require that the driver is in an attentive state, in other words that he is not overtired or is in an inattentive state.
- driver assistance systems are therefore increasingly being equipped with facilities that determine the driver's attention or a physiological state.
- the document EP 2 284 057 relates to a method for adapting one or more parameters of a driver assistance system supporting the driver of a motor vehicle, comprising the following steps:
- Detecting the current direction of view of the driver through a direction of gaze detection determining the period of time during which the driver is not looking at the road from the current direction of gaze, and adapting the parameter (s) of the driver assistance system if the determined period of time exceeds a predetermined critical time value.
- the object of the invention is to enable driver assistance systems to be optimized.
- a first aspect of the invention relates to a system for testing a driver assistance system of a vehicle, the driver assistance system having at least one interior sensor and being set up to process sensor signals from the at least one interior sensor for observing a driver of the vehicle, the system having:
- Simulation means for simulating at least one physical property of the driver which characterizes a physiological state of the driver, in particular attention, activity, fatigue, mood, state of health and / or drug influence, and can be detected by the at least one interior sensor in such a way that this sensor signals depending on the at least one simulated physical property, he can testify; and an interface which interacts with the driver assistance system in such a way that sensor signals are provided by the driver assistance system as a function of the at least one simulated physical property.
- a second aspect of the invention relates to a method for testing a driver assistance system of a vehicle, in particular by means of a system according to one of claims 1 to 14, wherein the driver assistance system has at least one interior sensor and is set up to output sensor signals from the at least one interior sensor for observing a driver Vehicle to process, with at least one physical Property of the driver, which characterizes a physiological state of the driver, in particular attention, activity, fatigue, mood, state of health and / or drugs, and can be detected by the at least one interior sensor in such a way that it simulates sensor signals as a function of the at least one Can generate physical property, is simulated and the sensor signals are provided as a function of the at least one simulated physical property on the driver assistance system.
- the driver assistance system has at least one interior sensor and is set up to output sensor signals from the at least one interior sensor for observing a driver Vehicle to process, with at least one physical Property of the driver, which characterizes a physiological state of the driver, in particular attention, activity, fatigue, mood, state of health
- FIG. 1 Further aspects of the invention relate to a computer program that includes instructions which, when executed by a computer, cause the computer to carry out the steps of a method according to the second aspect of the invention, and a computer-readable medium on which a such computer program is stored.
- the invention is based on the approach of testing driver assistance systems, which have at least one interior sensor for observing a driver, by means of objectified and reproducible inputs.
- the system according to the invention has simulation means which are set up in such a way that physical properties of a driver, which can be detected by the at least one interior sensor, are simulated.
- Sensor signals from the interior sensors are provided to the driver assistance system via an interface, in particular a stimulation device.
- the stimulation device preferably emulates a driver, so that the at least one interior sensor outputs sensor data as if it were observing a real driver.
- sensor data can also be generated by a so-called injection on a sensor chip of the interior sensor or by injecting simulated sensor data directly on the driver assistance system.
- the functionality of the driver assistance system with regard to the interior sensor can be tested using the simulated data.
- the interior sensor or its sensor chip can also be tested.
- signal disturbances which are generated by a recording unit of physical signals, in particular an optics of a camera, are excluded when testing the driver assistance system and / or the sensor chip.
- artificial signal deterioration or interference can also be simulated here in order to find out how the sensor chip and / or the driver assistance system can deal with it.
- a large number of physiological states of a driver can be reproduced and the driver assistance system can then be tested. It can reproduce both the entire driver, including his gestures, facial expressions, posture and contact with the interior of the vehicle, as well as only parts of the driver, for example only his face or just his position on the steering wheel.
- the simulation means are preferably designed to generate signals, in particular sensor signals, which depict information from the perspective of the interior sensor of the vehicle.
- signals in particular sensor signals
- the perspective of the representation of the physical characteristic of the driver is also important.
- the position of the individual body parts and the proportions of the body and the individual body parts shown are important.
- the interface is a stimulation device which is set up to stimulate the interior sensor on the basis of the at least one simulated physical property.
- the driver assistance system can be tested as a whole in the same way as it is installed in a vehicle. Modifications to the sensor or a data connection between the interior sensor and a data processing unit of the driver assistance system are not necessary.
- the interior sensor can also be arranged outside of a vehicle and stimulated there.
- the driver assistance system as a whole can also be tested by means of the invention without a vehicle.
- the stimulation device is directed to generate a response signal for reception by the at least one interior sensor based on a signal which is sent out by the at least one interior sensor, the response signal being based on the at least one simulated physical property is generated, and wherein the driver when generating the Response signal is preferably emulated.
- driver assistance systems with interior sensors that send out a scanning signal can also be tested. These can be, for example, ultrasonic sensors or photodiodes.
- the stimulation device is selected from the following group of stimulation devices: a screen 6a, 6b, 6e, a loudspeaker, a heart rate stimulator, a flandermulator, a weight emulator.
- the interior sensor or sensors can be optimally stimulated by selecting the appropriate stimulation device or devices.
- the stimulation device is designed as a structural unit, preferably encompassed by a housing, and an interior sensor can be accommodated in the structural unit, the interior sensor, in particular functionally and / or structurally, being associated with the at least one interior sensor corresponds to the driver assistance system to be tested or the interior sensor of the driver assistance system to be tested, and wherein the stimulation device for signal transmission can be connected to the driver assistance system to be tested in order to transmit a sensor signal from the stimulation device to the driver assistance system.
- the interior sensor can be set up together with the stimulation device outside the vehicle, in particular at a location outside the actual test stand. In this way, impairment of the stimulation of the interior sensor (s) caused by operation of the test bench of the vehicle or of the driver assistance system itself can be prevented.
- the at least one interior sensor is arranged and / or installed in a component, in particular a component of the vehicle, preferably a dashboard or a steering wheel of the vehicle, and this component can be picked up by the stimulation device.
- the interior sensor of the driver assistance system does not have to be removed from its surroundings in normal operation, as a result of which possible interactions with the surroundings when testing the driver assistance system can be taken into account.
- the stimulation device is designed to be mounted on a driver's seat and / or a gear selector lever and / or a steering wheel.
- the stimulation of the interior sensor of the driver assistance system can be carried out on a test bench in the real vehicle and thus also in real ferry operation or in Fährbe operation.
- the stimulation means are set up to generate raw sensor data and the interface is set up to couple the raw sensor data to a sensor chip, in particular a perception chip of a camera, of the interior sensor.
- the driver assistance system can be dispensed with without taking into account a pickup of a sensor, ie that part of the sensor which converts measurement signals into electrical, in particular analog, signals, in the case of a camera, the optics.
- a sensor ie that part of the sensor which converts measurement signals into electrical, in particular analog, signals, in the case of a camera, the optics.
- the sensor chip or the interaction between the sensor chip and the driver assistance system can be tested without interfering with the transducer; on the other hand, faults in the transducer can also be simulated and observed how the driver assistance system or the perception chip of the interior sensor processes them .
- the at least one physical property is selected from the following group of properties: biometric property, sitting position, posture, head posture, viewing direction, facial expressions, obscuration in the field of vision, in particular by hat, mask or sunglasses, weight, The driver's blood pressure, heart rate, eye movement, eyelid movement, pupil size or blood alcohol level.
- the at least one interior sensor is selected from the following group of sensors: camera, in particular stereo camera, preferably infrared camera, capacitive sensor, photodiode, mechanical force sensor or resistive sensor, steering angle sensor, steering torque sensor or microphone.
- the physical property additionally characterizes an identity of the driver. This allows the driver assistance system to be tested individually in relation to a driver. In addition, an identification function of a vehicle system can be tested.
- the stimulation device is exclusively connected to the test stand by means of a connection for signal transmission, preferably by means of a line cable, a bus system, in particular a field bus, and / or by means of a wireless connection.
- a connection for signal transmission preferably by means of a line cable, a bus system, in particular a field bus, and / or by means of a wireless connection.
- the at least one physical property is simulated by means of a driver model.
- a model of the driver A wide variety of physiological states or the associated physical properties of the driver can be simulated.
- the driver model has an animation, in particular a 3D animation, of a driver, which can imitate physiological states.
- the model is preferably trained on the basis of real data.
- the simulation is based on recorded data of a real person, in particular on video data of the person, provided that one or more physiological states present in the data are known.
- This refinement is particularly easy to implement and enables testing without creating or training a driver model.
- the driver model has an animation, in particular a special 3D animation, of a driver, which can imitate physiological states.
- driver assistance systems in particular, which have a camera as an interior sensor, can be tested in a particularly realistic manner.
- the driver model is controlled on the basis of data which are determined, in particular in real time, on a real person.
- physiological states of humans or the physical properties can be simulated in a particularly realistic manner.
- the driver assistance system or the vehicle using the driver assistance system, is operated on the basis of the sensor signals, in particular on a test stand or in a real ferry operation.
- an activity of the driver assistance system is monitored and a function of the driver assistance system is preferably assessed on the basis of the activity.
- a driver assistance system is preferably assessed on the basis of reference data or reference driver or a reference driver assistance system.
- the sensor signals provided for processing the driver assistance system are generated on the basis of at least one simulated physical property, instead of being generated by the at least one interior sensor.
- the driver assistance system can be tested directly.
- the actual interior sensor is bridged.
- signal transmission from the at least one interior sensor of a driver assistance system is prevented.
- raw sensor data are generated on the basis of the at least one physical property and are coupled to a sensor chip of the at least one interior sensor in such a way that it provides the sensor signals.
- the at least one interior space sensor is stimulated on the basis of the at least one simulated physical property so that it provides the sensor signals.
- FIG. 1 shows a first exemplary embodiment of a system for testing a driver assistance system
- FIG. 2 shows a second exemplary embodiment of a system for testing a driver assistance system
- FIG. 3 shows a third exemplary embodiment of a system for testing a driver assistance system
- FIG. 4 shows a fourth exemplary embodiment of a system for testing a driver assistance system
- FIG. 5 shows an exemplary embodiment of a method for testing a driver assistance system.
- FIG. 1 shows a first exemplary embodiment of a system 1 for testing a driver assistance system 2 which is installed in a vehicle 3.
- a simulation means 5 in particular a computing unit of the system 1, simulates physical properties of a driver, which characterize a physiological state of the driver, in particular his attention, activity, tiredness, mood, state of health and / or a drug influence.
- the simulation means 5 using a driver model as a physical property biometric features or properties of the driver, a seating position of the driver, a posture of the driver, a head position of the driver, a line of sight of the driver, a facial expression of the driver, a concealment of the driver, in particular by a flood, a mask or sunglasses, a weight of the driver, an eyelid movement of the driver, a size of the Driver or a blood alcohol concentration of the driver determined.
- a driver model as a physical property biometric features or properties of the driver, a seating position of the driver, a posture of the driver, a head position of the driver, a line of sight of the driver, a facial expression of the driver, a concealment of the driver, in particular by a flood, a mask or sunglasses, a weight of the driver, an eyelid movement of the driver, a size of the Driver or a blood alcohol concentration of the driver determined.
- a physiological state is not characterized by one of the aforementioned physical properties, but by several of these properties.
- Driver assistance systems 2 which monitor the driver, use the information obtained about the physiological condition of a driver, on the one hand, to determine the driver's ability to drive, and, on the other hand, to monitor the driver's reactions to driving the vehicle by means of a driver assistance system.
- One result of the monitoring of the driver by a driver assistance system 2, for example by the lane departure warning system, can be that the driver is requested to turn his attention back to the driving situation in front of the vehicle 3.
- a driver assistance system 2 has various interior sensors. These are, for example, different cameras 4a, 4b, 4e, in particular stereo cameras, for observing different parts of the body. For example, the posture of the head, the direction of gaze or the position of the eyes and the facial expressions of a driver are of interest for the driver's physiological state.
- the driver assistance system preferably has three stereo cameras 4a, 4b, 4e.
- a first stereo camera 4a records the posture of the head
- a second stereo camera 4b records the direction of view
- a third stereo camera 4e records the facial expressions.
- the driver assistance system 2 preferably has a microphone 4c for detecting noises, e.g. B. when the driver speaks, a photodiode 4d for detecting the heart rate, a capacitive sensor 4f for detecting the hand position on the steering wheel, and a mechanical force sensor or resistive sensor 4g for detecting the sitting position.
- the sensor signals generated by the interior sensors 4a, 4b, 4c, 4d, 4e, 4f, 4g are evaluated in the computing unit 10 of the driver assistance system 2 and the driver assistance system controls the corresponding functions of the vehicle 3 or the entire vehicle 3.
- a system 1 for testing the driver assistance system 2 checks the quality of the observation skills of the driver assistance system 2. For this purpose, the individual physical properties, which together result in the physiological state of the driver, are made available to the driver assistance system 2 via suitable interfaces 6a, 6b, 6c, 6d, 6e, 6f, 6g.
- the system 1 for testing such a driver assistance system 2, which is shown in FIG. 1, has corresponding stimulation devices 6a, 6b, 6c, 6d, 6e, 6f, 6g in order to activate the interior sensors 4a, 4b, 4c, 4d, 4e, 4f, 4g to stimulate according to the simulated physical properties.
- This stimulation is indicated in FIG. 1 by arrows.
- the interior sensor is a sensor which initially sends a signal in order to be able to detect a physical property of a driver, for example an ultrasonic sensor (not shown) for detecting a distance
- a corresponding stimulation device (not shown) is also required. and the simulation means 5 set up to receive the signal on the one hand, to simulate a response signal on the basis of the physi cal properties and then to stimulate the corresponding interior sensor as if the response signal had arisen through interaction with the driver's body.
- the system 1 has a first screen 6a for stimulating a first camera 4a, the position of the driver's head being displayed on the first screen 4a.
- the viewing direction or eye position of the driver is displayed accordingly, on the third screen 6e his facial expression or his facial expressions.
- two or all three of these optically perceptible physical properties of the driver can also be displayed on a single screen and recorded by a single camera.
- the stimulation devices 6a, 6b, 6c, 6d, 6e, 6f, 6g are preferably set up in such a way that they can be attached to the point in the vehicle 3 at which the interior sensors 4a, 4b, 4c, 4d, 4e, 4f , 4g determine the respective physical characteristics of the driver. It is particularly important that the respective stimulation device 6a, 6b, 6c, 6d, 6e, 6f, 6g is arranged in the field of view of the respective sensor or the physical characteristics of the driver in the correct perspective of the interior sensor 4a, 4b, 4c, 4d , 4e, 4f, 4g and / or in the correct place in the interior of the vehicle. This is particularly important for those physical properties that are recorded with the stereo cameras 4a, 4b, 4e.
- interior sensors which are not shown, but which also detect a physical property of the driver.
- interior sensors are steering angle sensors, which can detect the movement of the driver, and a steering torque sensor, which can detect the force exerted by the driver.
- further stimulation devices can also be present for these interior space sensors.
- the computing unit 10 of the driver assistance system 2 derives a physiological state of the driver from the data collected from the sensor signals.
- the driver assistance system 2 determines the identity of the driver.
- the physiological state determined by the driver assistance system 10 can then be compared with the physiological state simulated by the simulation means 5 of the system 1. On the basis of this comparison, the quality with which the driver assistance system as a whole, i. H. including all interior sensors, is able to recognize a physiological condition of the driver.
- the first embodiment of the system 1 according to FIG. 1 can be used both in the real Fährbe operation of a vehicle 3, in which the vehicle 3 is guided by a driver assistance system 2 or by a driver, in particular remotely controlled. Further preferably, the system 1 according to the first exemplary embodiment can also be used on a test stand on which a ferry operation of the vehicle 2 is simulated.
- test stand is preferably a vehicle test stand, a hardware-in-the-loop test stand for the driver assistance system 2, a vehicle-in-the-loop test stand for the vehicle 3 or also a driving simulator.
- the test stand 8 is preferably set up in such a way that a drive train of a motor vehicle can be operated.
- a vehicle test bench 8 is shown in FIG. 2.
- the test stand 8 preferably has four loading machines 9a, 9b, 9c, 9d with which the wheels or wheel hubs of a vehicle fastened to the test stand 8 can be loaded.
- the second exemplary embodiment of the system 1 shown in FIG. 2 differs in that the interior sensors 4a, 4b, 4c, 4d, 4e, 4f, 4g are not arranged in the vehicle 3, but outside the vehicle 3 Driver assistance system 2, which drives the vehicle, is arranged in the vehicle. Accordingly, the simulation devices 6a, 6b, 6c, 6d, 6e, 6f, 6g are also arranged outside the vehicle 3 in such a way that they communicate with the interior 6 and the sensors 4a, 4b, 4c, 4d, 4e, 4f, 4g in the type described with reference to Figure 1 can interact.
- the entire component can also be taken from the vehicle in the second exemplary embodiment can be removed to stimulate the respective interior sensor 4a, 4b, 4c, 4d, 4e, 4f, 4g.
- the stimulation device 6a, 6b, 6c, 6d, 6e, 6f, 6g can preferably be designed as a structural unit which is encompassed by a housing and in which the respective interior sensor 4a, 4b, 4c, 4d, 4e, 4f, 4g can be included.
- Fig. 2 this is shown in relation to the first screen 6a, which is encompassed by a housing 8, in which the first stereo camera 4a is likewise arranged.
- the interior sensors 4a, 4b, 4c, 4d, 4e, 4f, 4g and the stimulation device 6a, 6b, 6c, 6d, 6e, 6f, 6g at a distance from the test stand, disturbances of the interior sensors 4a, 4b, 4c, 4d , 4e, 4f, 4g detected signals can be minimized. For example, interfering noises from the test stand 8 or from the vehicle 3 with respect to the microphone 4c are not perceived.
- the housing 8 is also used to prevent possible interference with the interior sensors or the interaction of the stimulation devices 6a, 6b, 6c, 6d, 6e, 6f, 6g with the interior sensors 4a, 4b, 4c, 4d, 4e, 4f, 4g.
- the stimulation devices 6a, 6b, 6c, 6d, 6e, 6f, 6g and interior sensors 4a, 4b, 4c, 4d, 4e, 4f, 4g are preferably arranged in another room and connected to the test bench by means of a connection for signal transmission, preferably by means of a line cable of a bus system, in particular a field bus and / or by means of a wireless connection.
- FIG. 3 shows a third exemplary embodiment of the system 1 according to the invention.
- the interfaces 6a, 6b, 6c, 6d, 6e, 6f, 6g are not stimulation devices, but data interfaces, Which raw sensor data can be fed or coupled into the respective sensor chips 7a, 7b, 7c, 7d, 7e, 7f, 7g of the individual interior sensors 4a, 4b, 4c, 4d, 4e, 4f, 4g.
- the respective symbols of the interior sensors 4a, 4b, 4c, 4d, 4e, 4f, 4g in FIG. 3 are only surrounded by a dashed border.
- FIG. 4 shows a fourth exemplary embodiment of the system 1.
- the system 1 outputs the sensor signals directly to the computing unit 10 of the driver assistance system 2, which the vehicle 3 guides on the basis of these sensor signals and any further information.
- FIG. 5 shows an exemplary embodiment of a method 100 for testing a driver assistance system 2 of a vehicle 3.
- this method is carried out by means of a system 1, as described with reference to the exemplary embodiments in FIGS.
- the process essentially has three work steps:
- At least one physical property of the driver which is a physiological state of the driver, in particular attention, activity, tiredness, mood, state of health and / or drug influence, is characterized and from the at least one interior sensor 4a, 4b, 4c, 4d, 4e, 4f, 4g can be detected in such a way that it can generate sensor signals as a function of the at least one simulated physical property, simulated 101.
- the simulation 101 is preferably based on recorded data of a real person, in particular on video data of the person for which one or more data are available and physiological states are known.
- the at least one physical property is simulated by means of a driver model, which is preferably trained on the basis of real data.
- the driver model also preferably has an animation which can imitate physiological states.
- the driver model is preferably controlled on the basis of data which, in particular, are determined in real time on a real person.
- the sensor signals are provided by the driver assistance system 2 as a function of the at least one simulated physical property.
- the driver assistance system 2 or the vehicle is operated using the driver assistance system 2 on a test stand 8 or in real ferry operation.
- the activity of the driver assistance system 2 is monitored 103; in particular, it is monitored which physiological states of the driver the driver assistance system 2 detects.
- An evaluation of the function of the driver assistance system 2 is preferably carried out on the basis of this monitoring.
- the sensor signals provided for processing by the driver assistance system can be generated on the basis of the at least one simulated physical property, instead of being generated by the at least one interior sensor 4a, 4b, 4c, 4d, 4e, 4f, 4g. In this case, there is no need for animation or the like. In particular, signal transmission from the at least one interior sensor of a driver assistance system is prevented in this case.
- raw sensor data can be generated on the basis of at least one simulated physical property during the simulation and can be sent directly to the sensor chips 7a, 7b, 7c, 7d, 7e, 7f, 7g of the at least one interior sensor 4a, 4b, 4c, 4d, 4e, 4f, 4g are coupled so that it provides the sensor signals.
- the at least one interior space sensor 4a, 4b, 4c, 4d, 4e, 4f, 4g can be stimulated on the basis of the at least one simulated physical property in such a way that it provides the sensor signals.
- the method 100 is preferably carried out in a computer-implemented manner.
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| ATA50515/2020A AT523641B1 (de) | 2020-06-16 | 2020-06-16 | System zum Testen eines Fahrerassistenzsystems eines Fahrzeugs |
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| WO2021075089A1 (ja) * | 2019-10-15 | 2021-04-22 | 本田技研工業株式会社 | 車両検査システムおよび位置合わせ方法 |
| AT524822B1 (de) | 2021-03-01 | 2024-08-15 | Avl List Gmbh | Verfahren zum Testen eines Fahrerassistenzsystems eines Fahrzeugs |
| AT525938B1 (de) * | 2022-02-24 | 2024-08-15 | Avl List Gmbh | Prüfstandsystem zum Testen eines Fahrerassistenzsystems mit einem Hörschall-Sensor |
Family Cites Families (91)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE4200694B4 (de) | 1992-01-14 | 2004-04-29 | Robert Bosch Gmbh | Verfahren zur Geschwindigkeits- und Abstandsregelung eines Fahrzeugs |
| JP3470453B2 (ja) | 1995-04-06 | 2003-11-25 | 株式会社デンソー | 車間距離制御装置 |
| JP3329367B2 (ja) | 1996-10-21 | 2002-09-30 | セイコーエプソン株式会社 | インクジェット式記録装置 |
| DE10254423A1 (de) | 2002-11-21 | 2004-06-03 | Lucas Automotive Gmbh | System zur Beeinflussung der Geschwindigkeit eines Kraftfahrzeuges |
| JP3902543B2 (ja) * | 2002-12-17 | 2007-04-11 | 本田技研工業株式会社 | 道路交通シミュレーション装置 |
| DE10322458A1 (de) | 2003-05-16 | 2004-12-02 | Daimlerchrysler Ag | Verfahren und Vorrichtung zur Beeinflussung der Beanspruchung eines Fahrers in einem Kraftfahrzeug |
| US7394393B2 (en) | 2005-08-02 | 2008-07-01 | Gm Global Technology Operations, Inc. | Adaptive driver workload estimator |
| DE602005017144D1 (de) * | 2005-08-18 | 2009-11-26 | Honda Res Inst Europe Gmbh | Fahrerassistenzsystem |
| US7388475B2 (en) | 2006-01-19 | 2008-06-17 | Gm Global Technology Operations, Inc. | Lane departure warning and avoidance system with warning modification criteria |
| JP4371137B2 (ja) | 2006-11-10 | 2009-11-25 | トヨタ自動車株式会社 | 自動運転制御装置 |
| JP4876880B2 (ja) | 2006-12-08 | 2012-02-15 | マツダ株式会社 | 車両用運転支援評価システム |
| DE102007031040B4 (de) * | 2007-07-04 | 2015-06-03 | Edag Gmbh & Co. Kgaa | Prüfvorrichtung und -verfahren für ein Fahrerassistenzsystem eines Fahrzeugs |
| DE102007043910A1 (de) | 2007-09-14 | 2009-03-26 | Robert Bosch Gmbh | Verfahren für die Steuerung eines Fahrerssistenzsystems |
| DE102008002699A1 (de) | 2008-06-27 | 2009-12-31 | Robert Bosch Gmbh | Vorrichtung und Verfahren zum Steuern einer automatischen Lenkung eines Fahrzeugs und Vorrichtung und Verfahren zum Überprüfen einer Ausführbarkeit einer vorgegebenen Soll-Fahrtrichtungsgröße für ein Fahrzeug |
| CN101530329B (zh) * | 2009-03-06 | 2011-04-06 | 北京理工大学 | 半实物驾驶疲劳视景仿真系统平台 |
| US20120135382A1 (en) | 2009-05-12 | 2012-05-31 | The Children's Hospital Of Philadelphia | Individualized mastery-based driver training |
| DE102009041187A1 (de) | 2009-08-13 | 2011-02-17 | Volkswagen Ag | Verfahren und Vorrichtung zur Adaption von Parametern eines Fahrerassistenzsystems |
| DE102009028767A1 (de) | 2009-08-21 | 2011-02-24 | Robert Bosch Gmbh | Fahrerassistenzsystem für Kraftfahrzeuge |
| DE102010029922A1 (de) | 2010-06-10 | 2011-12-15 | Robert Bosch Gmbh | Verfahren zur Einstellung eines den Fahrzustand beeinflussenden Aggregats in einem Fahrzeug |
| JP5585229B2 (ja) * | 2010-06-16 | 2014-09-10 | 富士通株式会社 | 車両の挙動推定装置、プログラム、及び、方法 |
| JP5689471B2 (ja) | 2010-09-21 | 2015-03-25 | 本田技研工業株式会社 | 車両用走行制御装置 |
| WO2012088635A1 (zh) | 2010-12-30 | 2012-07-05 | 中国科学院自动化研究所 | 车辆自适应巡航控制系统及方法 |
| DE102011000409A1 (de) | 2011-01-31 | 2012-08-02 | Dr. Ing. H.C. F. Porsche Aktiengesellschaft | Verfahren zum Bewerten der fahrdynamischen Ausprägung eines mit einem Kraftfahrzeug realisierten Fahrprofils |
| DE102011085325A1 (de) | 2011-10-27 | 2013-05-02 | Robert Bosch Gmbh | Verfahren zum Führen eines Fahrzeugs und Fahrerassistenzsystem |
| DE102011087781A1 (de) | 2011-12-06 | 2013-06-06 | Robert Bosch Gmbh | Verfahren und System zur Verminderung von Unfallschäden bei einer Kollision zwischen zwei Fahrzeugen |
| DE102011088807A1 (de) | 2011-12-16 | 2013-06-20 | Bayerische Motoren Werke Aktiengesellschaft | Verfahren zum Entwickeln und/oder Testen eines Fahrerassistenzsystems |
| DE102011121537A1 (de) | 2011-12-17 | 2013-06-20 | Volkswagen Aktiengesellschaft | Kraftfahrzeug-Assistenzsystem und Verfahren zum Erzeugen, Steuern und Auslösen einer Pausenempfehlung sowie Kraftfahrzeug |
| DE102012001666A1 (de) | 2012-01-28 | 2013-08-01 | Audi Ag | Verfahren zum Lenken eines Fahrzeugs mittels eines Lenkassistenzsystems |
| DE102012002333A1 (de) | 2012-02-07 | 2013-08-08 | Daimler Ag | Verfahren zur Steuerung einer Fahrlichtverteilung |
| DE102012201896A1 (de) | 2012-02-09 | 2013-08-14 | Robert Bosch Gmbh | Fahrerassistenzverfahren und Fahrerassistenzsystem für verschneite Straßen |
| DE102012004650A1 (de) | 2012-03-07 | 2013-09-12 | Audi Ag | Verfahren zum Testen der Funktionsfähigkeit eines in einem Testfahrzeug verbauten Fahrerassistenzsystems |
| US8457827B1 (en) | 2012-03-15 | 2013-06-04 | Google Inc. | Modifying behavior of autonomous vehicle based on predicted behavior of other vehicles |
| AT511131B1 (de) | 2012-05-25 | 2013-09-15 | Avl List Gmbh | Verfahren zum Testen eines Fahrzeugs oder einer Komponente eines Fahrzeugs |
| KR101357596B1 (ko) * | 2012-09-06 | 2014-02-06 | 자동차부품연구원 | 충돌예방시스템 시험 평가 장치 |
| DE102013200116A1 (de) | 2013-01-08 | 2014-07-10 | Bayerische Motoren Werke Aktiengesellschaft | Verfahren zum Entwickeln und/oder Testen eines Fahrerassistenzsystems |
| AT512717B1 (de) * | 2013-07-26 | 2015-02-15 | Avl List Gmbh | Verfahren zur Durchführung eines Prüflaufs auf einem Prüfstand |
| AT514754B1 (de) | 2013-09-05 | 2018-06-15 | Avl List Gmbh | Verfahren und Vorrichtung zur Optimierung von Fahrassistenzsystemen |
| AT513370B1 (de) | 2013-11-05 | 2015-11-15 | Avl List Gmbh | Virtuelle Testoptimierung für Fahrerassistenzsysteme |
| DE102014118625A1 (de) | 2014-12-15 | 2016-06-16 | Valeo Schalter Und Sensoren Gmbh | Sensoranordnung für einen Prüfstand eines Fahrerassistenzsystems eines Kraftfahrzeugs, Prüfstand sowie dazugehöriges Verfahren |
| US20160210382A1 (en) | 2015-01-21 | 2016-07-21 | Ford Global Technologies, Llc | Autonomous driving refined in virtual environments |
| DE102015104890A1 (de) | 2015-03-30 | 2016-10-06 | Gpi Gesellschaft Für Prüfstanduntersuchungen Und Ingenieurdienstleistungen Mbh | Testsystem und Testverfahren zum Test einer fahrzeug- und/oder fahrzeugführerspezifischen Signalwahrnehmung und -reaktion sowie Konfigurationssystem und Konfigurationsverfahren zur fahrzeug- und/oder fahrzeugführerspezifischen Konfiguration wenigstens einer Fahrzeugführer-System-Schnittstelle |
| US9767386B2 (en) | 2015-06-23 | 2017-09-19 | Adobe Systems Incorporated | Training a classifier algorithm used for automatically generating tags to be applied to images |
| DE102016220913A1 (de) | 2015-11-06 | 2017-05-11 | Ford Global Technologies, Llc | Verfahren und Vorrichtung zur Generierung von Testfällen für autonome Fahrzeuge |
| DE102015224558A1 (de) | 2015-12-08 | 2017-06-08 | Robert Bosch Gmbh | Verfahren zum Validieren einer Fahrassistenzfunktion eines Kraftfahrzeugs |
| CN105718065B (zh) | 2016-01-27 | 2018-08-21 | 北京交通大学 | 车路协同环境下的交互式视景仿真系统 |
| US10552573B2 (en) | 2016-03-18 | 2020-02-04 | Toyota Jidosha Kabushiki Kaisha | Vehicle simulation device for crowd-sourced vehicle simulation data |
| US9792821B1 (en) | 2016-03-25 | 2017-10-17 | Toyota Jidosha Kabushiki Kaisha | Understanding road scene situation and semantic representation of road scene situation for reliable sharing |
| DE102016205153A1 (de) | 2016-03-29 | 2017-10-05 | Avl List Gmbh | Verfahren zum Erzeugen von Steuerdaten für ein regelbasiertes Unterstützen eines Fahrers |
| US10346564B2 (en) * | 2016-03-30 | 2019-07-09 | Toyota Jidosha Kabushiki Kaisha | Dynamic virtual object generation for testing autonomous vehicles in simulated driving scenarios |
| WO2017210222A1 (en) | 2016-05-30 | 2017-12-07 | Faraday&Future Inc. | Generating and fusing traffic scenarios for automated driving systems |
| US9956963B2 (en) * | 2016-06-08 | 2018-05-01 | GM Global Technology Operations LLC | Apparatus for assessing, predicting, and responding to driver fatigue and drowsiness levels |
| WO2018002910A1 (en) * | 2016-06-28 | 2018-01-04 | Cognata Ltd. | Realistic 3d virtual world creation and simulation for training automated driving systems |
| DE102016008218A1 (de) | 2016-07-06 | 2018-01-11 | Audi Ag | Verfahren zum verbesserten Erkennen von Objekten durch ein Fahrerassistenzsystem |
| DE102016116135A1 (de) | 2016-08-30 | 2018-03-01 | Dspace Digital Signal Processing And Control Engineering Gmbh | Verfahren zur Simulation einer Kollisionssituation |
| AT518792B1 (de) | 2016-09-12 | 2018-01-15 | Avl List Gmbh | Modularer Prüfstand für fahrbereite Gesamtfahrzeuge |
| DE102016218277B4 (de) | 2016-09-22 | 2021-08-12 | Benjamin May | Verfahren zur Funktionsprüfung eines Fahrassistenzsystems sowie Kontrolleinheit und Referenzeinrichtung für ein Fahrassistenzsystem |
| US10228693B2 (en) | 2017-01-13 | 2019-03-12 | Ford Global Technologies, Llc | Generating simulated sensor data for training and validation of detection models |
| WO2018176000A1 (en) | 2017-03-23 | 2018-09-27 | DeepScale, Inc. | Data synthesis for autonomous control systems |
| US10442433B2 (en) * | 2017-05-24 | 2019-10-15 | GM Global Technology Operations LLC | Systems and methods for overriding vehicle limitation system |
| DE102017213217A1 (de) | 2017-08-01 | 2019-02-07 | Ford Global Technologies, Llc | Testfahrtszenario-Datenbanksystem für realitätsnahe virtuelle Testfahrtszenarien |
| CN207029275U (zh) * | 2017-08-02 | 2018-02-23 | 沈阳东康智能科技有限公司 | 能实时监测人体健康状况的汽车方向盘系统 |
| JP6950346B2 (ja) * | 2017-08-10 | 2021-10-13 | オムロン株式会社 | 運転者状態把握装置、運転者状態把握システム、及び運転者状態把握方法 |
| DE102017214542A1 (de) * | 2017-08-21 | 2019-02-21 | Bayerische Motoren Werke Aktiengesellschaft | Verfahren, Vorrichtung, Computerprogramm und Computerprogrammprodukt zur Verifikation eines Fahrerassistenzsystems |
| US10877476B2 (en) | 2017-11-30 | 2020-12-29 | Tusimple, Inc. | Autonomous vehicle simulation system for analyzing motion planners |
| EP3493178B1 (de) * | 2017-12-01 | 2024-03-06 | Veoneer Sweden AB | Verfahren und vorrichtung zur erkennung der aufmerksamkeit eines fahrers |
| AT520802B1 (de) * | 2017-12-21 | 2022-09-15 | Avl List Gmbh | Verfahren zur Analyse eines Automatisierungssystems einer Anlage, Emulator zum zumindest teilweise virtuellen Betreiben eines Automatisierungssystems einer Anlage und System zur Analyse eines Automatisierungssystems einer Anlage |
| WO2019133696A1 (en) * | 2017-12-27 | 2019-07-04 | Horiba Europe Gmbh | Apparatus and method for testing using dynamometer |
| DE102018200011A1 (de) | 2018-01-02 | 2019-07-04 | Ford Global Technologies, Llc | Testsystem und Verfahren zum Testen einer Steuerung eines zumindest teilweise autonom fahrenden Fahrzeugs in einer virtuellen Umgebung |
| CN108646586A (zh) | 2018-03-20 | 2018-10-12 | 重庆邮电大学 | 一种智能网联汽车在环仿真、测试验证系统与方法 |
| US11086318B1 (en) | 2018-03-21 | 2021-08-10 | Uatc, Llc | Systems and methods for a scenario tagger for autonomous vehicles |
| DE102018205804A1 (de) | 2018-04-17 | 2019-10-17 | Conti Temic Microelectronic Gmbh | Steuergerätetesteinrichtung zum Testen, Absichern und Entwickeln von Funktionen |
| WO2019220436A2 (en) * | 2018-05-14 | 2019-11-21 | BrainVu Ltd. | Driver predictive mental response profile and application to automated vehicle brain interface control |
| JP2021530069A (ja) * | 2018-06-26 | 2021-11-04 | カッツ,イテイ | 状況的ドライバ監視システム |
| CN108694815A (zh) * | 2018-07-25 | 2018-10-23 | 合肥市智信汽车科技有限公司 | 一种疲劳驾驶辅助装置及疲劳驾驶检测方法 |
| CN108681264A (zh) | 2018-08-10 | 2018-10-19 | 成都合纵连横数字科技有限公司 | 一种智能车辆数字化仿真测试装置 |
| AT521607B1 (de) | 2018-10-24 | 2020-03-15 | Avl List Gmbh | Verfahren und Vorrichtung zum Testen eines Fahrerassistenzsystem |
| US10482003B1 (en) | 2018-11-09 | 2019-11-19 | Aimotive Kft. | Method and system for modifying a control unit of an autonomous car |
| CN109410524B (zh) * | 2018-12-06 | 2021-07-09 | 四川大学锦城学院 | 一种驾驶员疲劳监测系统及其监测方法 |
| US20200209874A1 (en) | 2018-12-31 | 2020-07-02 | Chongqing Jinkang New Energy Vehicle, Ltd. | Combined virtual and real environment for autonomous vehicle planning and control testing |
| US10636295B1 (en) | 2019-01-30 | 2020-04-28 | StradVision, Inc. | Method and device for creating traffic scenario with domain adaptation on virtual driving environment for testing, validating, and training autonomous vehicle |
| DE102019105389B4 (de) | 2019-02-09 | 2025-03-20 | Elmos Semiconductor Se | Sicherheitsvorrichtung für ein selbstlernendes Messsystem im Fahrzeug zur Erkennung und Klassifizierung von Objekten im Umfeld des Fahrzeugs mit Hilfe eines Deep-Learning Verfahrens |
| DE102019206052A1 (de) | 2019-04-26 | 2020-10-29 | Robert Bosch Gmbh | Situationsadaptives Trainieren eines trainierbaren Moduls mit aktivem Lernen |
| DE102019206049A1 (de) | 2019-04-26 | 2020-10-29 | Robert Bosch Gmbh | Erkennung und Behebung von Rauschen in Labels von Lern-Daten für trainierbare Module |
| EP3745382B1 (de) | 2019-05-27 | 2026-02-11 | Zenuity AB | Verfahren und server zur unterstützung der erzeugung von szenarien zum testen von autonomem fahr- und/oder erweiterten fahrerassistenzsystemfunktionen |
| EP3745381B1 (de) | 2019-05-27 | 2026-01-14 | Zenuity AB | Verfahren und vorrichtung zur unterstützung der erzeugung von szenarien zum testen der funktionalität eines system zum autonomen fahren und/oder für erweiterte fahrerassistenz |
| CN110949396B (zh) * | 2019-11-21 | 2021-11-23 | 西安芯海微电子科技有限公司 | 疲劳驾驶的监测方法、系统、方向盘、装置、设备和介质 |
| DE112020006855T5 (de) * | 2020-03-09 | 2022-12-22 | Mitsubishi Electric Corporation | Simulationsvorrichtung und verarbeitungslast-einstelleinrichtung |
| US11738763B2 (en) * | 2020-03-18 | 2023-08-29 | Waymo Llc | Fatigue monitoring system for drivers tasked with monitoring a vehicle operating in an autonomous driving mode |
| CN212579772U (zh) * | 2020-04-15 | 2021-02-23 | 北京汽车股份有限公司 | 方向盘 |
| JP7534545B2 (ja) * | 2021-06-07 | 2024-08-14 | 株式会社Subaru | 車両開発支援システム |
| US20230214712A1 (en) * | 2022-01-04 | 2023-07-06 | Capital One Services, Llc | Machine learning model for predicting driver-vehicle compatibility |
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| Publication number | Publication date |
|---|---|
| US20230219584A1 (en) | 2023-07-13 |
| WO2021253063A1 (de) | 2021-12-23 |
| CN115699123A (zh) | 2023-02-03 |
| AT523641A4 (de) | 2021-10-15 |
| JP7813247B2 (ja) | 2026-02-12 |
| JP2023529949A (ja) | 2023-07-12 |
| AT523641B1 (de) | 2021-10-15 |
| US12304510B2 (en) | 2025-05-20 |
| KR20230024346A (ko) | 2023-02-20 |
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