EP1710767B1 - Verfahren und System zur Erfassung des Vorliegens eines hinderlichen Objekts und Aktivierungsmodul für dieses System - Google Patents

Verfahren und System zur Erfassung des Vorliegens eines hinderlichen Objekts und Aktivierungsmodul für dieses System Download PDF

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Publication number
EP1710767B1
EP1710767B1 EP06356036A EP06356036A EP1710767B1 EP 1710767 B1 EP1710767 B1 EP 1710767B1 EP 06356036 A EP06356036 A EP 06356036A EP 06356036 A EP06356036 A EP 06356036A EP 1710767 B1 EP1710767 B1 EP 1710767B1
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EP
European Patent Office
Prior art keywords
module
stretch
activation
image processing
images
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.)
Not-in-force
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EP06356036A
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English (en)
French (fr)
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EP1710767A1 (de
Inventor
Jean-Hubert Wilbrod
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Neavia Technologies
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Neavia Technologies
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Publication of EP1710767B1 publication Critical patent/EP1710767B1/de
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    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/04—Detecting movement of traffic to be counted or controlled using optical or ultrasonic detectors
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/065—Traffic control systems for road vehicles by counting the vehicles in a section of the road or in a parking area, i.e. comparing incoming count with outgoing count
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/16—Anti-collision systems
    • G08G1/164—Centralised systems, e.g. external to vehicles

Definitions

  • the present invention relates to a method and a system for detecting the presence of an annoying object, and an activation module for this system.
  • EP-A-1,414,000 describes a method for detecting bottling on a road section.
  • the image processing step is carried out continuously in order to quickly detect the presence of this possible annoying object.
  • the annoying object may be a stopped vehicle or a damaged vehicle or any other object present on the pavement of the section of road.
  • Image processing requires a lot of computing power and consumes a lot of energy. This significant energy consumption is particularly problematic when the image processing step is performed by a stand-alone road traffic beacon placed at the edge of the road section.
  • the invention aims to remedy this drawback by proposing a method for detecting the presence of an annoying object but consuming less energy or requiring a reduced computing power.
  • the subject of the invention is therefore a detection method according to claim 1.
  • Embodiments of this detection method may include one or more of the features of the dependent claims.
  • the invention also relates to a detection system according to claim 8.
  • Embodiments of this detection system may include one or more of the features of the dependent claims.
  • the invention also relates to an activation unit that can be implemented in the method or the detection system above.
  • the devices 16 and 18 as well as the various acoustic sensors 22 are connected to a local data processing circuit 24.
  • the circuit 24 is housed in an electrical cabinet placed at the foot of the house 14.
  • the platform 48 is a computer server or a set of computer servers adapted to manage the traffic on a road network including route 4.
  • the vehicle detectors of the beacons 10 and 11 respectively carry the references 50 and 52.
  • the beacon 12 calculates, during a step 68, an incident threshold Si based on an average S m of the number of vehicles simultaneously present on the section 8 calculated over several previous ⁇ T time intervals.
  • the threshold S i is equal to at least twice the average S m and at least equal to 1.
  • the beacon 12 calculates a result representative of the increase in the number of vehicles on the section 8.
  • This result is here a probability P i that an annoying object is actually present on the section 8.
  • this probability P i is compared with a threshold S a of activation of the image processing. For example, S a is equal to 0, 5. If the probability P i is lower than the threshold S a , then the process returns to step 60 and the image processing module 30 is not activated or deactivated. .
  • the module 34 controls the activation, during a step 74, of the apparatus 16 and the modules 26 and 30 of the beacon 12.
  • the activation unit 34 also controls the activation of the modules 26 and 30 of the beacon 11 as well as the setting device view of the marker 11 facing the portion 8 'of section 8.
  • the activated cameras take images at regular intervals of the section 8. These images are acquired by the image acquisition modules 26 and transmitted to the respective processing modules of the beacons 11 and 12.
  • the processing modules 30 of the beacons 11 and 12 determine from the analysis of the acquired images, a probability P v that an annoying object is present on the section 8.
  • the beacon 11 transmits, during a step 82, the probability P v that it has determined at the beacon 12 via the radio link 42.
  • the estimator E i is compared, during a step 86, with a predetermined threshold S b of alarm. If the estimator E i is below the threshold S b , then the process returns to step 62.
  • the beacon 12 transmits, during a step 90, an alarm to the platform 48 via link 44 and network 46 and then returns to step 62.
  • the platform 48 receives this alarm and acts accordingly during a step 92. For example, the platform 48 automatically controls the display on a luminous sign of a message indicating that an annoying object is on the section 8 .
  • system 2 switches to a degraded operating mode.
  • the unit 34 automatically and automatically activates the activation, during a step 104, of the apparatus 16, the module 26 and the module 30. the beacon 12 and the apparatus and corresponding modules in the beacon 11, so as to be able to quickly detect the presence of an annoying object on the section 8, by image processing.
  • the image processing is used to compensate for the fact that the detector 20 is unusable or inoperative.
  • FIG. 3 represents a system 110 for detecting an annoying object on the road section 4.
  • the elements already described with reference to FIG. 1 bear the same numerical references.
  • tags 112, 113 and 114 placed respectively at the location of the tags 10, 11 and 12 of Figure 1 are shown.
  • the tags 112 to 114 are identical and only the tag 114 will be described in detail.
  • the tag 114 is identical to the tag 12 except that it has no image processing module 30.
  • the platform 48 includes an image processing module 118 common to all the traffic beacons of the system 110.
  • the module 118 as the module 30 is able to establish a probability P v that an annoying object is present on a section from images acquired by the cameras for shooting beacons 112 to 114.
  • the platform 48 is here able to trigger an alarm if the probability P v combined or not with the probability P i exceeds a predetermined threshold and to act accordingly.
  • acoustic sensors can be replaced by microwave radars, ultrasound, magnetic sensors or other sensors able to detect the passage of a vehicle at a given point of a road.
  • the calculation of the probability P i is carried out locally by the tags.
  • this calculation can be deported in the platform 48, which requires that the numbers S (t) established by each of the beacons are transmitted in real time to the platform 48.
  • the acquisition of the images is permanently activated and only the processing module is activated when necessary by the module 34.
  • the counting module establishes from the data recorded by the detector 20 an average number of vehicles counted accompanied by a standard deviation for this average.

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Traffic Control Systems (AREA)
  • Analysing Materials By The Use Of Radiation (AREA)

Claims (10)

  1. Verfahren zum Erfassen des Vorhandenseins eines hinderlichen Objekts auf einem Streckenabschnitt, das Verfahren enthaltend:
    a) einen Bildbearbeitungsschritt zum automatischen Erfassen des Vorhandenseins des hinderlichen Objekts ausgehend von Bildern des Abschnitts,
    dadurch gekennzeichnet, dass das Verfahren enthält:
    b) einen Schritt (66) zum Zählen von gleichzeitig vorhandenen Fahrzeugen auf dem Streckenabschnitt ausgehend von Daten, die von einem ersten bzw. einem zweiten, jeweils an einem Eingang bzw. an einem Ausgang des Abschnitts platzierten Erfasser von Fahrzeugen erhoben werden, und
    c) einen Schritt (74) zum Befehlen der Aktivierung des Schritts der Bildbearbeitung, automatisch ausgelöst als Funktion der Zählung in Schritt b).
  2. Verfahren nach Anspruch 1, dadurch gekennzeichnet, dass es enthält:
    - einen Schritt zum Ermitteln von Bildern, die dazu bestimmt sind, bei dem Bildbearbeitungsschritt behandelt zu werden, und
    - einen Schritt (76) zum Befehlen der Aktivierung des Schritts des Ermittelns der Bilder, automatisch ausgelöst als Funktion der Zählung in Schritt b).
  3. Verfahren nach einem der vorhergehenden Ansprüche, dadurch gekennzeichnet, dass das Verfahren enthält:
    - einen Schritt (70) der Berechnung eines repräsentativen Ergebnisses der Zunahme der Anzahl von gezählten Fahrzeugen, wobei das Ergebnis eine Funktion der Anzahl der gezählten Fahrzeuge in Schritt b) ist, und
    - einen Schritt (72) des Vergleichs des Ergebnisses mit einem vorbestimmten Aktivierungsschwellenwert zum automatischen Auslösen zumindest eines der Befehlsschritte, wenn die Schwelle überschritten ist.
  4. Verfahren nach Anspruch 3, dadurch gekennzeichnet, dass es einen Schritt (68) der Berechnung des Ergebnisses und/oder des vorbestimmten Aktivierungsschwellenwertes als Funktion der mittleren Anzahl von Kraftfahrzeugen, die gleichzeitig auf dem beobachteten Abschnitt, in vorhergehenden Zeitintervallen vorhanden sind, enthält.
  5. Verfahren nach einem der vorhergehenden Ansprüche, dadurch gekennzeichnet, dass es einen Schritt (104) des Befehlens der Aktivierung des Bildbearbeitungsschritts enthält, wenn einer der Erfasser von Fahrzeugen, die am Eingang bzw. am Ausgang des Abschnitts platziert sind, außer Betrieb gelangt.
  6. Verfahren nach Anspruch 5 für Erfasser von Fahrzeugen, die jeweils mindestens einen akustischen Messfühler zum Erfassen des Durchgangs eines Kraftfahrzeugs ausgehend von der Schallwelle, die durch das Kraftfahrzeug erzeugt wird, enthalten, wobei der oder jeder Fühler dazu bestimmt ist, in vorbestimmtem Bereich des Umgebungsschalldrucks zu arbeiten, dadurch gekennzeichnet, dass das Verfahren enthält:
    - einen Schritt (100) zum Messen des Umgebungsschalls mit Hilfe der akustischen Fühler, und
    - einen Schritt (102) des Vergleichs des gemessenen Umgebungsschalls, mit dem vorbestimmten Bereich des Umgebungsschalldrucks zum Bestimmen, ob der Erfasser außer Betrieb ist.
  7. Verfahren nach einem der vorhergehenden Ansprüche, dadurch gekennzeichnet, dass das Verfahren einen Schritt (90) zum Erzeugen eines Alarmsignals enthält, das das Vorhandensein eines hinderlichen Objekts auf dem Streckenabschnitt anzeigt, und dadurch, dass der Schritt des Erzeugens automatisch als Funktion von gleichzeitig den anlässlich des Bildbearbeitungsschritts und anlässlich des Zählschritts erhaltenen Ergebnissen ausgelöst wird.
  8. System zum Erfassen des Vorhandenseins eines hinderlichen Objekts auf einem Streckenabschnitt, wobei das System enthält:
    - ein Modul (30) zur Bearbeitung von Bildern, das angepasst ist, automatisch das Vorhandensein des hinderlichen Objekts ausgehend von Bildern von dem Streckenabschnitt zu erfassen,
    dadurch gekennzeichnet, dass das System enthält:
    - zumindest einen ersten und einen zweiten Erfasser (20, 50, 52) von Kraftfahrzeugen, die jeweils an einem Eingang bzw. an einem Ausgang des Abschnitts platziert sind,
    - ein Modul (28) zum Zählen von Kraftfahrzeugen, die gleichzeitig auf dem Abschnitt vorhanden sind, ausgehend von Daten, die durch den ersten bzw. zweiten Erfasser erhoben werden, und
    - ein Modul (34) zum Aktivieren des Bearbeitungsmoduls, das geeignet ist, automatisch die Aktivierung des Bearbeitungsmoduls als Funktion der Zählung, die durch das Modul zum Zählen durchgerührt wird, auszulösen.
  9. System nach Anspruch 8, dadurch gekennzeichnet, dass das System ein Modul (26) zum Ermitteln von Bildern, die dazu bestimmt sind, durch das Bildbearbeitungsmodul behandelt zu werden, enthält, und dass das Modul (34) zum Aktivieren gleichzeitig angepasst ist, automatisch die Aktivierung des Moduls zum Ermitteln als Funktion der Zählung, die durch das Modul zum Zählen durchgeführt wird, auszulösen.
  10. System nach Anspruch 8 oder 9, dadurch gekennzeichnet, dass:
    - die Erfasser von Kraftfahrzeugen jeweils mindestens einen akustischen Messfühler (22) zum Erfassen des Durchgangs eines Kraftfahrzeugs ausgehend von der Schallwelle, die durch das Fahrzeug erzeugt wird, enthalten, wobei der oder jeder Fühler dazu bestimmt ist, in einem vorbestimmten Bereich von Umgebungsschalldruck zu arbeiten,
    - das Systems ein Modul (32) der Bestimmung des Umgebungsschalldrucks enthält, und
    - das Aktivierungsmodul dazu angepasst ist, automatisch das Bildbearbeitungsmodul zu aktivieren, wenn der Umgebungsschalldruck, der erfasst wird, mit dem vorbestimmten Bereich von Umgebungsschalldrücken nicht kompatibel ist.
EP06356036A 2005-03-31 2006-03-31 Verfahren und System zur Erfassung des Vorliegens eines hinderlichen Objekts und Aktivierungsmodul für dieses System Not-in-force EP1710767B1 (de)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
FR0503145A FR2884018A1 (fr) 2005-03-31 2005-03-31 Procede et systeme de detection de la presence d'un objet genant, et module d'activation pour ce systeme

Publications (2)

Publication Number Publication Date
EP1710767A1 EP1710767A1 (de) 2006-10-11
EP1710767B1 true EP1710767B1 (de) 2007-10-31

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EP06356036A Not-in-force EP1710767B1 (de) 2005-03-31 2006-03-31 Verfahren und System zur Erfassung des Vorliegens eines hinderlichen Objekts und Aktivierungsmodul für dieses System

Country Status (6)

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US (1) US7460949B2 (de)
EP (1) EP1710767B1 (de)
AT (1) ATE377234T1 (de)
DE (1) DE602006000189T2 (de)
ES (1) ES2294775T3 (de)
FR (1) FR2884018A1 (de)

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Publication number Priority date Publication date Assignee Title
FR2928221B1 (fr) 2008-02-28 2013-10-18 Neavia Technologies Procede et dispositif de detection multi-technologie de vehicule.
BE1018764A3 (nl) * 2009-05-27 2011-08-02 Traficon Nv Toestel en systeem voor tunneldetectie.
CN103063222B (zh) * 2011-10-24 2017-08-04 泰为信息科技公司 具有转向限制机制的导航系统及其操作方法
GB2518662B (en) * 2013-09-27 2015-12-16 Thales Holdings Uk Plc Apparatus and method for managing traffic
US9615023B2 (en) * 2015-03-13 2017-04-04 Center For Integrated Smart Sensors Foundation Front-end event detector and low-power camera system using thereof
US10177598B1 (en) * 2015-08-26 2019-01-08 Mehdi Mozafari Energy storage system
ITUB20159226A1 (it) * 2015-12-17 2017-06-17 Francesco Porzio Sistema di rilevazione e segnalazione di ostacoli su un percorso
US11151874B2 (en) * 2020-01-23 2021-10-19 Frogparking Limited Vehicle flow monitoring system

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GB2231753A (en) * 1989-05-05 1990-11-21 Golden River Ltd Traffic incident monitoring with vido cameras
EP0856826A3 (de) * 1997-02-04 1999-11-24 Neil James Stevenson Sicherheitssystem
DE19727895A1 (de) * 1997-07-01 1999-02-11 Bosch Gmbh Robert Anordnung zur Verkehrserfassung auf einem Streckenabschnitt einer Straße
JP2002123894A (ja) * 2000-10-16 2002-04-26 Hitachi Ltd プローブカー制御方法及び装置並びにプローブカーを用いた交通制御システム
JP3849505B2 (ja) * 2001-11-26 2006-11-22 株式会社デンソー 障害物監視装置及びプログラム
JP3895238B2 (ja) * 2002-08-28 2007-03-22 株式会社東芝 障害物検出装置及びその方法
EP1414000A1 (de) * 2002-10-22 2004-04-28 Olindo Regazzo Verkehrsüberwachungssystem zur frühzeitigen Anzeige von Behinderungen auf der Strasse
DE102004036565B4 (de) * 2004-07-28 2008-12-18 Robert Bosch Gmbh Vorrichtung und Verfahren zum Stabilisieren eines Fahrzeugs

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EP1710767A1 (de) 2006-10-11
DE602006000189T2 (de) 2008-08-14
FR2884018A1 (fr) 2006-10-06
US7460949B2 (en) 2008-12-02
US20060235612A1 (en) 2006-10-19
ATE377234T1 (de) 2007-11-15
ES2294775T3 (es) 2008-04-01
DE602006000189D1 (de) 2007-12-13

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