EP3837496A1 - Vorrichtung mit einer sensoreinheit und einer selbstkalibrierungsfunktion - Google Patents
Vorrichtung mit einer sensoreinheit und einer selbstkalibrierungsfunktionInfo
- Publication number
- EP3837496A1 EP3837496A1 EP19733425.3A EP19733425A EP3837496A1 EP 3837496 A1 EP3837496 A1 EP 3837496A1 EP 19733425 A EP19733425 A EP 19733425A EP 3837496 A1 EP3837496 A1 EP 3837496A1
- Authority
- EP
- European Patent Office
- Prior art keywords
- calibration
- measured value
- self
- sensor unit
- function
- 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.)
- Withdrawn
Links
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D18/00—Testing or calibrating apparatus or arrangements provided for in groups G01D1/00 - G01D15/00
- G01D18/002—Automatic recalibration
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R33/00—Arrangements or instruments for measuring magnetic variables
- G01R33/0023—Electronic aspects, e.g. circuits for stimulation, evaluation, control; Treating the measured signals; calibration
- G01R33/0035—Calibration of single magnetic sensors, e.g. integrated calibration
-
- 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
- G08G1/042—Detecting movement of traffic to be counted or controlled using inductive or magnetic detectors
Definitions
- the invention is based on a device with a sensor unit and a processing unit, the sensor unit being set up to record at least one measured value at a predetermined point in time.
- the device can, for example, be designed such that it serves to determine an occupancy state of a parking space in a parking space.
- the sensor unit has, for example, a magnetic field sensor, the processing unit being set up by means of the
- Magnetic field sensor measured magnetic field values to determine the occupancy status of the parking space.
- Measurement conditions can change over time, for example because a
- the invention also relates to a method for self-calibration of a device according to the invention.
- the invention is based on a device with a sensor unit and a processing unit, the sensor unit being set up to record at least one measured value at a predetermined point in time.
- One aspect of the invention is that the processing unit is set up to use one as a function of the measured value acquired
- Self-calibration is understood to mean that the device adapts itself to different measurement conditions in order to be able to continue to make a correspondingly correct conclusion based on a measurement by means of the sensor unit. For this, the
- Ambient parameters are accordingly recorded as a measured value and the device is calibrated as a function thereof.
- a predetermined time is to be understood here to mean that the
- Sensor unit records the measured value, for example, at a predetermined frequency, for example once an hour. However, it is also conceivable that the detection takes place randomly.
- the measured value is recorded when the sensor unit receives an interrupt command, which can be triggered, for example, by a change in measured value that occurs or can be received by a signal from outside the device.
- the sensor unit is set up to record a plurality of measurement values at different times or to record measurement values over a predetermined period of time with a corresponding frequency, wherein the processing unit can be set up to self-calibrate the device as a function of a Large number of these measurements.
- the self-calibration of the device during the use of the device means that no interaction between the user and the device is necessary, as a result of which the use of the device is correspondingly simplified.
- this allows the device to be installed more quickly at any desired location, that is to say the device can deliver plausible results more quickly.
- corresponding measurement results of the device can have an increased quality, which in turn means that the long-term stability of the device can be improved. This is due to the fact that the device can react appropriately to changing environmental parameters or to a drift of the sensor, thereby causing a reliable functioning of the device can be ensured, which in turn means that the determination of the occupancy of the
- Parking space is more likely to be correct than would be the case if the device were not self-calibrated.
- the processing unit is set up to use a mathematical model to determine a calibration value as a function of the recorded measured value and to carry out the self-calibration as a function of the determined calibration value.
- a calibration value is to be understood, for example, to be a value which has taken into account how likely it is that the measured value recorded is due to changing environmental parameters or a drift of the
- the recorded measured value is typically compared with previously recorded measured values in order to be able to conclude its plausibility.
- a calibration magnetic field is determined, which reflects the corresponding external influences or the drift of the sensor unit.
- the calibration magnetic field is then subtracted from a detected magnetic field and the result is then evaluated accordingly in order to be able to conclude from this whether the parking space is occupied or not.
- the calibration value thus represents a type of offset, which is included in a current determination of the occupancy state, in order to be able to determine the determination of the occupancy state by the device as if it were still in the initial state without any changes affecting it, which is a determination could negatively affect.
- the mathematical model as an adaptive filtering or a
- the processing unit is set up to filter the recorded measured value, in particular as a function of a measured value recorded at an earlier point in time.
- the processing unit is then set up accordingly to carry out a self-calibration of the device as a function of the filtered measured value.
- Self-calibration of the device can be carried out more precisely.
- the invention also relates to a method for self-calibration of a device according to the invention, with at least the following method steps: a. Detecting at least one measured value by means of the sensor unit at a predetermined point in time,
- the self-calibration of the device during the use of the device means that no interaction between the user and the device is necessary, as a result of which the use of the device is correspondingly simplified.
- this allows the device to be installed more quickly at any desired location, that is to say the device can deliver plausible results more quickly.
- corresponding measurement results of the device can have an increased quality, which in turn means that the long-term stability of the device can be improved. This is because the device responds to changing environmental parameters or but can respond accordingly to a drift of the sensor, whereby a reliable functioning of the device can be ensured, which in turn means that the determination of the occupancy of the
- Parking space is more likely to be correct than would be the case if the device were not self-calibrated.
- a calibration value is determined as a function of the acquired measured value by means of a mathematical model and the
- Self-calibration takes place depending on the determined calibration value. It is advantageous here that this offers a particularly effective possibility of carrying out the self-calibration process.
- the mathematical model uses adaptive filtering or an unattended binary classification or a nearest neighbor classification or a k-means algorithm.
- Method step c takes place in which the acquired measured value is filtered, in particular as a function of a measured value acquired at an earlier point in time.
- Self-calibration of the device can be carried out more precisely.
- the invention can also relate to a parking space with at least one parking space, the parking space having a device according to the invention.
- Fig. 1 shows an embodiment of a device according to the invention.
- FIG. 2 shows an exemplary embodiment of a method according to the invention for self-calibration of a device according to the invention.
- Fig. 1 shows an embodiment of a device according to the invention.
- the device 10 has a sensor unit 20 and a processing unit 30.
- the sensor unit 20 is connected to the processing unit 30 in such a way that measured values detected by the sensor unit 20 can be tapped by the processing unit 30.
- the connection can be both wired and wireless.
- the device 10 can, for example, be designed such that it is used to determine an occupancy state of a parking space in a parking space.
- the sensor unit 20 has, for example, a magnetic field sensor, the processing unit 30 being set up to determine the occupancy state of the parking space by means of magnetic field measured values detected by the magnetic field sensor.
- FIG. 2 shows an exemplary embodiment of a method according to the invention for self-calibration of a device according to the invention.
- a method step a at least one measured value 22 is recorded at a predetermined time by means of the sensor unit 20 of the device 10.
- Device 10 is carried out as a function of the at least one recorded measured value 22.
- a calibration value can be determined as a function of the measured value 22 detected using a mathematical model and then the self-calibration takes place depending on the determined calibration value.
- a mathematical model For example, adaptive filtering or an unattended binary classification or a nearest-neighbor classification or a k-means algorithm can be used as the mathematical model.
- Method step b ab a method step c, in which the acquired measured value 22 is filtered.
- the filtering takes place in particular as a function of a measured value 24 recorded at an earlier point in time
- Method step b carried out the self-calibration as a function of the filtered measured value.
- the device 10 can serve, for example, as described in accordance with FIG. 1, to determine an occupancy state of a parking space in a parking space.
- step b one cannot
- Process step shown an occupancy status of the parking space can be determined.
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Condensed Matter Physics & Semiconductors (AREA)
- Traffic Control Systems (AREA)
Abstract
Description
Claims
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
DE102018213940.7A DE102018213940A1 (de) | 2018-08-17 | 2018-08-17 | Vorrichtung mit einer Sensoreinheit und einer Selbstkalibrierungsfunktion |
PCT/EP2019/065772 WO2020035191A1 (de) | 2018-08-17 | 2019-06-14 | Vorrichtung mit einer sensoreinheit und einer selbstkalibrierungsfunktion |
Publications (1)
Publication Number | Publication Date |
---|---|
EP3837496A1 true EP3837496A1 (de) | 2021-06-23 |
Family
ID=67060377
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
EP19733425.3A Withdrawn EP3837496A1 (de) | 2018-08-17 | 2019-06-14 | Vorrichtung mit einer sensoreinheit und einer selbstkalibrierungsfunktion |
Country Status (5)
Country | Link |
---|---|
US (1) | US11619685B2 (de) |
EP (1) | EP3837496A1 (de) |
CN (1) | CN112567207A (de) |
DE (1) | DE102018213940A1 (de) |
WO (1) | WO2020035191A1 (de) |
Families Citing this family (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP4263418A1 (de) | 2020-12-19 | 2023-10-25 | Pepsico Inc | Berührungslose fusspaddelbetriebene spender |
Family Cites Families (13)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
DE19821439A1 (de) * | 1998-05-13 | 1999-11-18 | Bsh Bosch Siemens Hausgeraete | Sensorgesteuerte Garungseinheit mit Selbstkalibrierung |
DE19962997B4 (de) * | 1999-12-24 | 2010-06-02 | Robert Bosch Gmbh | Verfahren zur Kalibrierung eines Sensorsystems |
NL2001994C (nl) * | 2008-09-19 | 2010-03-22 | Nedap Nv | Parkeerinrichting met een automatisch voertuigdetectiesysteem, alsmede werkwijze voor het in bedrijf stellen en beheren van een parkeerinrichting. |
US8543320B2 (en) * | 2011-05-19 | 2013-09-24 | Microsoft Corporation | Inferring a behavioral state of a vehicle |
AU2012325362B2 (en) * | 2011-10-19 | 2014-08-07 | Balu Subramanya | Directional speed and distance sensor |
US9255799B2 (en) * | 2012-06-14 | 2016-02-09 | Yost Labs Inc. | Determining and correcting error of positional vector-valued sensors using a fixed angle calibration process |
CN103117003B (zh) * | 2013-01-17 | 2015-04-01 | 杭州快泊信息技术有限公司 | 一种自校准的阈值自调整停车位检测方法 |
DE102013222316B4 (de) * | 2013-11-04 | 2023-07-27 | Robert Bosch Gmbh | Sensorsystem mit Selbstkalibrierung |
DE102015202784A1 (de) * | 2015-02-17 | 2016-08-18 | Robert Bosch Gmbh | Verfahren zum Betreiben einer Sensorvorrichtung und Sensorvorrichtung |
CN104794933B (zh) * | 2015-05-04 | 2017-05-31 | 中设设计集团股份有限公司 | 一种提高地磁车位检测器准确性的方法 |
CN106960580B (zh) * | 2017-05-02 | 2019-04-26 | 成都蓉易停科技有限公司 | 一种基于地磁传感器的车位检测方法 |
DE102017213806A1 (de) * | 2017-08-08 | 2019-02-14 | Siemens Aktiengesellschaft | Kalibration von Fahrzeugsensoren |
WO2019191002A1 (en) * | 2018-03-26 | 2019-10-03 | Nvidia Corporation | Object movement behavior learning |
-
2018
- 2018-08-17 DE DE102018213940.7A patent/DE102018213940A1/de active Pending
-
2019
- 2019-06-14 US US17/262,030 patent/US11619685B2/en active Active
- 2019-06-14 WO PCT/EP2019/065772 patent/WO2020035191A1/de unknown
- 2019-06-14 EP EP19733425.3A patent/EP3837496A1/de not_active Withdrawn
- 2019-06-14 CN CN201980053997.8A patent/CN112567207A/zh active Pending
Also Published As
Publication number | Publication date |
---|---|
US20220043075A1 (en) | 2022-02-10 |
WO2020035191A1 (de) | 2020-02-20 |
US11619685B2 (en) | 2023-04-04 |
CN112567207A (zh) | 2021-03-26 |
DE102018213940A1 (de) | 2020-02-20 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
DE102013225563A1 (de) | Verfahren zur Überwachung eines Sensors eines Fahrzeugs | |
DE102021202134A1 (de) | Verfahren zur Bestimmung, Messung und/oder Überwachung von Eigenschaften eines Sensorsystems | |
DE102017006260A1 (de) | Verfahren zum Bestimmen von Detektionseigenschaften wenigstens eines Umgebungssensors in einem Fahrzeug und Fahrzeug, eingerichtet zur Durchführung eines solchen Verfahrens | |
EP2849979B1 (de) | Verfahren und vorrichtung zum ermitteln des umfanges eines an einem fahrzeug verbauten reifens | |
EP3768558B1 (de) | Sensoranordnung für ein fahrzeug und verfahren zur überwachung eines sensors | |
EP3837496A1 (de) | Vorrichtung mit einer sensoreinheit und einer selbstkalibrierungsfunktion | |
DE102008002722A1 (de) | Verfahren und Anordnung zum Ermitteln der Änderung einer Profiltiefe eines Reifens | |
EP3350609A1 (de) | Verfahren zur detektion eines internen kurzschlusses in einer batterie | |
DE102013224512A1 (de) | System und Verfahren zur Ermittlung eines Berührungsschwellwerts | |
DE102010002680A1 (de) | Verfahren und Vorrichtung zur Erkennung einer Abweichung eines Drehratensignals eines Drehratensensors | |
DE102006030593B4 (de) | Verfahren zur Ruhelagenbestimmung eines Fahrzeugs | |
EP3707690A1 (de) | Verfahren und vorrichtung zur bestimmung eines belegungszustands eines stellplatzes eines parkraums | |
EP2581890B1 (de) | Verfahren zur Erhöhung der Fehlalarmsicherheit eines Brandmelders | |
DE102016225645A1 (de) | Vorrichtung und Verfahren zum Erfassen von Fahrzeugbewegung in einem Reifendrucküberwachungssystem | |
EP1376286B1 (de) | Vorrichtung und Verfahren zum Überwachen eines ablaufenden Prozesses | |
DE102010016426A1 (de) | Vorrichtung und Verfahren zur Sensorkalibrierung | |
DE102015213599A1 (de) | Verfahren und Vorrichtung zur Signaluntersuchung | |
WO2020074417A1 (de) | Verfahren zur bestimmung der wertigkeit von radarmesswerten zur bestimmung eines belegungszustands eines stellplatzes | |
WO2020259982A1 (de) | Verfahren zum bestimmen und angeben der reststandzeit eines filters | |
EP2154529B1 (de) | Verfahren zur Auswertung von Gassensorsignalen | |
DE102016215635A1 (de) | Vorrichtung und Verfahren zur Bestimmung einer Drehzahl eines rotierenden Walzenkörpers | |
DE102015016169B4 (de) | Verfahren und Vorrichtung zur kontinuierlichen Überprüfung des Dynamikverhaltens eines Sensors einer Sensoranordnung | |
WO2022156987A1 (de) | Verfahren und vorrichtung zum ermitteln eines umgebungsdrucks | |
DE102020007442A1 (de) | Verfahren und Anordnung | |
DE102015200949A1 (de) | Verfahren zur Berechnung der Orientierung eines Sensorsystems und Sensorsystem |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
STAA | Information on the status of an ep patent application or granted ep patent |
Free format text: STATUS: UNKNOWN |
|
STAA | Information on the status of an ep patent application or granted ep patent |
Free format text: STATUS: THE INTERNATIONAL PUBLICATION HAS BEEN MADE |
|
STAA | Information on the status of an ep patent application or granted ep patent |
Free format text: STATUS: THE INTERNATIONAL PUBLICATION HAS BEEN MADE |
|
PUAI | Public reference made under article 153(3) epc to a published international application that has entered the european phase |
Free format text: ORIGINAL CODE: 0009012 |
|
STAA | Information on the status of an ep patent application or granted ep patent |
Free format text: STATUS: REQUEST FOR EXAMINATION WAS MADE |
|
17P | Request for examination filed |
Effective date: 20210317 |
|
AK | Designated contracting states |
Kind code of ref document: A1 Designated state(s): AL AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LI LT LU LV MC MK MT NL NO PL PT RO RS SE SI SK SM TR |
|
DAV | Request for validation of the european patent (deleted) | ||
DAX | Request for extension of the european patent (deleted) | ||
STAA | Information on the status of an ep patent application or granted ep patent |
Free format text: STATUS: THE APPLICATION IS DEEMED TO BE WITHDRAWN |
|
18D | Application deemed to be withdrawn |
Effective date: 20211006 |