EP3625106A1 - Sensor-controlled adjustment of odometric measurement parameters to weather conditions - Google Patents
Sensor-controlled adjustment of odometric measurement parameters to weather conditionsInfo
- Publication number
- EP3625106A1 EP3625106A1 EP18746651.1A EP18746651A EP3625106A1 EP 3625106 A1 EP3625106 A1 EP 3625106A1 EP 18746651 A EP18746651 A EP 18746651A EP 3625106 A1 EP3625106 A1 EP 3625106A1
- Authority
- EP
- European Patent Office
- Prior art keywords
- data
- unit
- weather
- sensor
- rail vehicle
- 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.)
- Granted
Links
- 238000005259 measurement Methods 0.000 title claims abstract description 17
- 238000000034 method Methods 0.000 claims abstract description 31
- 230000004927 fusion Effects 0.000 claims abstract description 16
- 238000011156 evaluation Methods 0.000 claims description 8
- 238000004590 computer program Methods 0.000 claims description 7
- 238000001514 detection method Methods 0.000 claims description 4
- 238000004378 air conditioning Methods 0.000 claims description 2
- 101100495769 Caenorhabditis elegans che-1 gene Proteins 0.000 claims 1
- 230000001404 mediated effect Effects 0.000 claims 1
- 238000012544 monitoring process Methods 0.000 description 5
- 238000010586 diagram Methods 0.000 description 3
- 230000008901 benefit Effects 0.000 description 2
- 230000001419 dependent effect Effects 0.000 description 2
- IJJWOSAXNHWBPR-HUBLWGQQSA-N 5-[(3as,4s,6ar)-2-oxo-1,3,3a,4,6,6a-hexahydrothieno[3,4-d]imidazol-4-yl]-n-(6-hydrazinyl-6-oxohexyl)pentanamide Chemical compound N1C(=O)N[C@@H]2[C@H](CCCCC(=O)NCCCCCC(=O)NN)SC[C@@H]21 IJJWOSAXNHWBPR-HUBLWGQQSA-N 0.000 description 1
- 235000010678 Paulownia tomentosa Nutrition 0.000 description 1
- 240000002834 Paulownia tomentosa Species 0.000 description 1
- 230000002411 adverse Effects 0.000 description 1
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- 238000004364 calculation method Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000018109 developmental process Effects 0.000 description 1
- 230000009977 dual effect Effects 0.000 description 1
- 230000000977 initiatory effect Effects 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 238000001556 precipitation Methods 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 230000001105 regulatory effect Effects 0.000 description 1
- 238000005096 rolling process Methods 0.000 description 1
- 238000009987 spinning Methods 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B61—RAILWAYS
- B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
- B61L25/00—Recording or indicating positions or identities of vehicles or trains or setting of track apparatus
- B61L25/02—Indicating or recording positions or identities of vehicles or trains
- B61L25/025—Absolute localisation, e.g. providing geodetic coordinates
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B61—RAILWAYS
- B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
- B61L15/00—Indicators provided on the vehicle or train for signalling purposes
- B61L15/0072—On-board train data handling
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B61—RAILWAYS
- B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
- B61L25/00—Recording or indicating positions or identities of vehicles or trains or setting of track apparatus
- B61L25/02—Indicating or recording positions or identities of vehicles or trains
- B61L25/021—Measuring and recording of train speed
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B61—RAILWAYS
- B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
- B61L25/00—Recording or indicating positions or identities of vehicles or trains or setting of track apparatus
- B61L25/02—Indicating or recording positions or identities of vehicles or trains
- B61L25/026—Relative localisation, e.g. using odometer
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B61—RAILWAYS
- B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
- B61L23/00—Control, warning or like safety means along the route or between vehicles or trains
- B61L23/04—Control, warning or like safety means along the route or between vehicles or trains for monitoring the mechanical state of the route
- B61L23/041—Obstacle detection
Definitions
- the invention relates to a method for adjusting measurement parameters of an odometry unit of a rail vehicle.
- the invention relates to an adjustment device.
- the invention relates to a rail vehicle.
- Speed measurements are indispensable for autonomous driving and assistance systems of vehicles. Speed data can be used for many different purposes ⁇ to. Examples include monitoring regulatory compliance, scheduling trips, initiating braking, and determining positions. Conventionally, a determination of the speed is achieved by the fusion of measurement results of different sensors.
- Sensors used for speed determination can generate erroneous data. This may be the case, for example, due to bad weather conditions such as rain, snow, etc. Snow, fog and rain can affect the performance of Doppler radar sensors. Rain can lead to smooth tracks, which also contributes to the wheels slipping and spinning, which degrades the accuracy of the sensors measuring the rotational frequency of the wheels. Therefore, there is a problem that errors occur in the measurement of odometric data by individual sensors and thus the overall result of the odometric measurement is distorted.
- DE 10 2006 035 597 Al a method for determining the travel path and the speed of a vehicle, in particular for safety-critical ⁇ sondere train control will be ⁇ written.
- Sensor data is fused by different sensors.
- DE 10 2009 006 113 A1 describes a device for representing the surroundings of a vehicle, the existence of objects being determined on the basis of fused sensor data.
- US 2017/0 307 247 A1 describes the detection of weather conditions with the aid of on-board sensors of a motor vehicle.
- weather conditions are detected which may function as a warning system of a rail vehicle striking ⁇ pregnant.
- Rail vehicle using at least one sensor unit which includes an internal image pickup unit detected.
- the acquired sensor data is used to determine weather data.
- the weather data are preferably determined automatically, so that no additional staffing is needed and the evaluation can be done in real time.
- fusion weights for the fusion of odometric data are determined.
- the odometric data itself, for example VELOCITY ⁇ keitschal or position data are based on
- odometric sensor data from different types of odometric sensors by weighted combination or For example, by weighted addition in the
- Odometry unit determined is determined.
- current weather data can be taken into account that affected by the current weather conditions
- Odometric sensors or their odometric data are weighted weaker. This measure improves the accuracy of the odometric data and the robustness of the determination of this data.
- the setting of the fusion weights is preferably also automated in order to allow a real ⁇ time adjustment of the measurement parameters, ie the merger weights.
- Internal image recording units can already be present, for example, as surveillance cameras in rail vehicles in order to improve the personal safety of the passengers.
- surveillance cameras can also take on the task to monitor the weather.
- the surveillance cameras can be temporarily aligned in the direction of the windows of the rail vehicle, so that the outer environment can be ⁇ tion detected and weather data can be determined.
- the inventive alignment device for a rail vehicle has a data input interface for receiving sensor data from a sensor unit, which comprises an internal image acquisition unit, from the interior and / or the surroundings of the rail vehicle. Part of the adjustment device is also a weather determination unit for determining weather data based on the detected sensor data.
- the adjustment device according to the invention also includes a Festle ⁇ tion unit for setting fusion weights for the fusion of odometric data, which based on
- the rail vehicle according to the invention comprises at least one sensor unit which combines an internal image pickup unit to ⁇ , and the adjustment device according to the invention.
- the ER-making modern rail vehicle shares the benefits of OF INVENTION ⁇ to the invention adjustment facility.
- Some components of the adjustment device according to the invention can be formed predominantly in the form of software components. This relates in particular to parts of the weather determination unit and the determination unit. Grundsford ⁇ lich but these components may also partly, particularly when it comes to particularly quick calculations, in the form of software-supported hardware such as FPGAs or the like to be realized. Likewise, the needed
- Interfaces for example, when it comes only to a transfer of data from other software components, be designed as software interfaces. However, they can also be configured as hardware-based interfaces, which are controlled by suitable software.
- a largely software implementation has the advantage that existing computer systems can be retrofitted after a possible addition of additional Liehe hardware elements easily by a software update has been in a rail vehicle to work on the invention shown SSE manner.
- a corresponding computer program product with a Compu ⁇ terprogramm, which is directly loadable into an Speichereinrich- processing of such a computer system, with Programmab cut ⁇ to perform all the steps of the inventive method when the computer program is executed in the computer system
- Such a computer program product in addition to the computer ⁇ program optionally additional components, such as a documentation and / or additional components, also Hardware components, such as hardware keys (dongles, etc.) for using the software include
- a computer-readable medium for example a memory stick, a hard disk or another portable or permanently installed data carrier can be used, on which the computer program readable and executable by a computer unit are stored.
- the computer unit may be for example a purpose or more cooperating micropro ⁇ processors or the like.
- the at least one sensor unit comprises at least one of the following sensor types:
- frost can indicate the occurrence of snow, which in turn makes it difficult to measure the speed with the aid of a Doppler radar.
- Humidity sensors can already be present, for example, for automated operation of windshield wipers in rail vehicles and can be used according to the invention to additionally ⁇ to now to gain weather information for assessing the reliability odometrischer sensors.
- LIDAR sensors for example, the occurrence of fog can be detected. Fog in turn makes it difficult to apply a speed measurement using a Doppler radar.
- a surveil ⁇ monitoring camera is used as an internal image pickup unit.
- a rail vehicle monitoring camera for Wetterbeo ⁇ bach tung is aligned in such a way that can be detected from the external environment of the railway vehicle image data.
- the monitoring camera is aligned for weather observation such that can be recorded from an inner area of the slide ⁇ nenhuss image data.
- Rail vehicle is determined based on the detected by the surveillance camera image data a current weather conditions. Before ⁇ geous the image data can also be used to monitor and to determine the conditions, so no additional hardware for recording weather information is needed.
- Odometry unit of a rail vehicle is used to determine the current weather situation, an image evaluation method on the captured image data, which is based on the machine vision.
- an image evaluation method a comparison of the image data with different image patterns, which are each assigned to a different weather situation, can preferably be carried out.
- the different weather conditions may include, for example, the following weather conditions:
- the mentioned weather conditions influenced the reliability of the odometric sensors.
- ⁇ play some snow may affect the reliability of a Doppier- radar.
- Rain can cause a slippage of the RAE of the rail vehicle and therefore to lower to ⁇ reliability of the rotation frequency sensors.
- current operating data of an air conditioning system of the rail vehicle can be used.
- An ⁇ hand of the operating data can be closed to a current temperature, which in turn provides clues to the current weather conditions.
- FIG. 1 shows a flowchart which illustrates a method for adjusting measurement parameters of an odometry unit of a rail vehicle according to a first exemplary embodiment of the invention
- FIG. 2 is a block diagram illustrating an adjustment device according to an embodiment of the invention.
- FIG. 3 is a block diagram illustrating a rail vehicle according to an embodiment of the invention.
- FIG. 1 illustrates a method for adjusting measurement parameters of an odometry unit of a rail vehicle.
- step 1.1 are sensor data, in this embodiment, image data BD from the vicinity of the rail vehicle, which detected by a surveillance camera ⁇ the, temperature data TD from a temperature sensor which measures outside temperature, humidity sensor data FSD by a humidity sensor and lidar sensor data LSD a lidar
- step l.II On the basis of the detected sensor data BD, TD, FSD, LSD weather data WD are determined in step l.II. For example, with the help of the humidity sensor data to determine if it rains to date and how strong it reg ⁇ net.
- step l.III fusion weights FG for the fusion of odometric data, for example a measured speed or traveled distance, are determined on the basis of the determined weather data WD.
- the odometric data itself is combined to a speed or a distance coveredsammlungge- to ermit ⁇ stuffs determined after the adjustment, for example by means of a rotational frequency sensor and a Doppler Rada and subsequently weighted by means of said Fu ⁇ sion weights FG.
- the adjustment device 20 for a rail vehicle 40 (see FIG. 3) is described.
- the adjustment device 20 comprises a data input interface 21, which is set up to receive sensor data SD from the interior and / or the surroundings of the rail vehicle 40.
- the Sen ⁇ sorrtz SD is a weather-determination unit 22 ⁇ averages, which is used to determine weather data WD based on the erutz- th sensor data SD.
- Part of the adjustment device 20 is also a fixing unit 23, which is set up ⁇ , merger weights FG for the merger of
- odometric data v, P (t) which were determined on the basis of sensor data FD, DRD of different types of sensors 15, 16 (seven he FIG 3) to define, in dependence on the erstoff ⁇ th weather data WD.
- the determined weights FG are output via an output interface 24 and transmitted to an evaluation unit 30 (see FIG. 3).
- FIG. 3 a block diagram illustrating a rail vehicle 40 is shown.
- the rail vehicle 40 includes a plurality of different sensor units 10, 11, 12, 13, with which sensor data BD, TD, FSD, LSD are detected as a basis for the determination of weather data WD.
- the sensor units 10, 11, 12, 13 comprise a Kochwachungska ⁇ ra 10 which receives image data BD from the environment of the railway vehicle 40, a temperature sensor 11 for Ermit ⁇ stuffs of external temperature data TD, a moisture sensor unit 12 for determining wet sensor data FSD, which provide information about the humidity, and a lidar sensor unit 13, which can use Lidar information about the occurrence of precipitation, such as rain or snow, and detect fog.
- the rail vehicle 40 has two odometric sensors 15, 16.
- a first odometric sensor 15 is designed as a rotational frequency meter and a second odometric sensor is designed as a Doppler radar sensor.
- frequency data FD or dual radar data DRD to an evaluation unit 30, also
- Called odometry unit transmitted, which additionally receives from the adjustment device 20 data relating to applied fusion weights FG.
- the evaluation unit 30 determines the first based on the odometric frequency data FD
- Odometric data sets V F , P F (t), v D , P u (t) are weighted using the determined weights FG to be fused
Landscapes
- Engineering & Computer Science (AREA)
- Mechanical Engineering (AREA)
- Traffic Control Systems (AREA)
- Control Of Driving Devices And Active Controlling Of Vehicle (AREA)
- Image Processing (AREA)
- Machines For Laying And Maintaining Railways (AREA)
Abstract
Description
Claims
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
DE102017213991 | 2017-08-10 | ||
PCT/EP2018/069642 WO2019029969A1 (en) | 2017-08-10 | 2018-07-19 | Sensor-controlled adjustment of odometric measurement parameters to weather conditions |
Publications (2)
Publication Number | Publication Date |
---|---|
EP3625106A1 true EP3625106A1 (en) | 2020-03-25 |
EP3625106B1 EP3625106B1 (en) | 2023-03-15 |
Family
ID=63042005
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
EP18746651.1A Active EP3625106B1 (en) | 2017-08-10 | 2018-07-19 | Sensor-controlled adjustment of fusion weights to weather conditions in a odometric unit of a rail vehicle |
Country Status (5)
Country | Link |
---|---|
US (1) | US20200172135A1 (en) |
EP (1) | EP3625106B1 (en) |
CN (1) | CN111032476B (en) |
ES (1) | ES2946763T3 (en) |
WO (1) | WO2019029969A1 (en) |
Families Citing this family (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN114529886B (en) * | 2022-04-24 | 2022-08-02 | 苏州挚途科技有限公司 | Method, device and system for determining obstacle |
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JP2003162795A (en) * | 2001-11-22 | 2003-06-06 | Nec Corp | Sensor selecting method using weather data and road traffic monitoring system using the same |
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DE10304703B4 (en) * | 2003-02-06 | 2023-03-16 | Bayerische Motoren Werke Aktiengesellschaft | Method and device for visualizing the environment of a vehicle with environment-dependent fusion of an infrared and a visual image |
CN1687709A (en) * | 2005-05-12 | 2005-10-26 | 吉林大学 | System for measuring motion state of automobile |
DE102006035597A1 (en) | 2006-07-27 | 2008-01-31 | Siemens Ag | Method for determining the travel path and the speed of a vehicle, in particular for safety-critical train control systems |
DE102007063508A1 (en) * | 2007-12-28 | 2009-07-09 | Siemens Ag | Movement parameter e.g. speed, detecting method for rail vehicle, involves evaluating individual images that partially overlap and are subsequent to each other, and limiting images on narrow band such that overlapping is minimized |
DE102009006113B4 (en) | 2008-03-03 | 2019-03-28 | Volkswagen Ag | Device and method for sensor fusion with dynamic objects |
CN101907714B (en) * | 2010-06-25 | 2013-04-03 | 陶洋 | GPS aided positioning system and method based on multi-sensor data fusion |
CN101934805B (en) * | 2010-09-07 | 2012-07-25 | 中国人民解放军国防科学技术大学 | Periodical cogging structure based speed-measuring positioning system of medium-low-speed levitated magnet train |
US8655588B2 (en) * | 2011-05-26 | 2014-02-18 | Crown Equipment Limited | Method and apparatus for providing accurate localization for an industrial vehicle |
FR2976355B1 (en) * | 2011-06-09 | 2013-06-21 | Jean Luc Desbordes | DEVICE FOR MEASURING SPEED AND POSITION OF A VEHICLE MOVING ALONG A GUIDE PATH, METHOD AND CORRESPONDING COMPUTER PROGRAM PRODUCT. |
CN105593875B (en) * | 2011-06-17 | 2020-02-07 | 罗伯特·博世有限公司 | Method and control device for detecting weather conditions in the surroundings of a vehicle |
KR101339354B1 (en) * | 2012-03-26 | 2013-12-09 | 한국철도기술연구원 | System for detecting position of the railway vehicle using images and the method of the same |
CN102759742A (en) * | 2012-07-06 | 2012-10-31 | 长春轨道客车股份有限公司 | Combined railway vehicle speed testing system and control method |
DE102013209659A1 (en) * | 2013-05-24 | 2014-11-27 | Siemens Aktiengesellschaft | Method for operating a device unit of a rail vehicle |
CN105636853B (en) * | 2013-07-31 | 2018-04-24 | 铁路视像有限公司 | For obstacle recognition and the system and method avoided |
WO2015025497A1 (en) * | 2013-08-23 | 2015-02-26 | パナソニックIpマネジメント株式会社 | Distance measurement system and signal generation device |
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CN106199570B (en) * | 2016-07-20 | 2018-05-04 | 上海电气泰雷兹交通自动化系统有限公司 | A kind of track train displacement and speed detection system |
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US9855894B1 (en) * | 2016-09-16 | 2018-01-02 | Volkswagen Aktiengesellschaft | Apparatus, system and methods for providing real-time sensor feedback and graphically translating sensor confidence data |
CN106627673A (en) * | 2016-10-27 | 2017-05-10 | 交控科技股份有限公司 | Multi-sensor fusion train positioning method and system |
-
2018
- 2018-07-19 WO PCT/EP2018/069642 patent/WO2019029969A1/en unknown
- 2018-07-19 US US16/637,835 patent/US20200172135A1/en active Pending
- 2018-07-19 CN CN201880051104.1A patent/CN111032476B/en active Active
- 2018-07-19 ES ES18746651T patent/ES2946763T3/en active Active
- 2018-07-19 EP EP18746651.1A patent/EP3625106B1/en active Active
Also Published As
Publication number | Publication date |
---|---|
CN111032476A (en) | 2020-04-17 |
US20200172135A1 (en) | 2020-06-04 |
EP3625106B1 (en) | 2023-03-15 |
WO2019029969A1 (en) | 2019-02-14 |
CN111032476B (en) | 2022-04-08 |
ES2946763T3 (en) | 2023-07-25 |
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