EP1710767A1 - 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
EP1710767A1
EP1710767A1 EP06356036A EP06356036A EP1710767A1 EP 1710767 A1 EP1710767 A1 EP 1710767A1 EP 06356036 A EP06356036 A EP 06356036A EP 06356036 A EP06356036 A EP 06356036A EP 1710767 A1 EP1710767 A1 EP 1710767A1
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EP
European Patent Office
Prior art keywords
module
activation
section
image processing
ambient noise
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
Application number
EP06356036A
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English (en)
French (fr)
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EP1710767B1 (de
Inventor
Jean-Hubert Wilbrod
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Neavia Technologies
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Neavia Technologies
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Publication of EP1710767A1 publication Critical patent/EP1710767A1/de
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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.
  • 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 invention also relates to an activation unit that can be implemented in the method or the detection system above.
  • FIG. 1 represents a system 2 for detecting the presence of an annoying object on a road 4.
  • sections 6 and 8 of the road 4 are illustrated.
  • system 2 will be made only in relation to these two sections.
  • sections 6 and 8 are each divided into two portions 6 'and 6 "respectively, and 8' and 8".
  • the system 2 comprises a road traffic beacon placed at the entrance and exit of each section of road.
  • the system 2 comprises a beacon 10 at the entrance of the section 6, a beacon 11 common at the exit of the section 6 and the entrance of the section 8 and a beacon 12 at the exit of the section 8.
  • the beacons 10 to 12 are, for example, all identical and only the tag 12 will be described here in detail.
  • the beacon 12 comprises a vertical mas 14 at the upper end of which are fixed two cameras 16 and 18 for taking pictures.
  • the apparatus 16 is turned towards the section 8 to take images of the portion 8 "of the section 8 while the apparatus 18 is turned towards the next section of the road 4.
  • the beacon 12 also comprises a detector 20 of vehicles capable of detecting the passage of a vehicle nearby on the road 4 to count the number of vehicles leaving the section 8.
  • This detector is, for example, made using An acoustic sensor array 22. In FIG. 1, only three acoustic sensors 22 are shown for each detector.
  • 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 circuit 24 also comprises a memory 36 in which a predetermined operating range 38 for the acoustic sensors 22 is recorded.
  • the range 38 defines in particular a maximum threshold of ambient noise power beyond which the detector 20 is unusable for detecting the passage of noise. 'a vehicle.
  • the circuit 24 also comprises a radio module 40 able to exchange information via a radio link with the road traffic beacons placed upstream and downstream along the road 4.
  • a radio module 40 able to exchange information via a radio link with the road traffic beacons placed upstream and downstream along the road 4.
  • the radio links 41 and 42 between, respectively, beacons 10 and 11, and 11 and 12 are shown.
  • the radio module 40 is also able to establish a radio link 44 with an information transmission network 46, so as to be able to communicate with a platform 48 for monitoring road traffic on the road 4 .
  • the network 46 is, for example, a telephone network.
  • 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 vehicle detectors operate continuously, during a step 60, to detect the passage of a vehicle near one of the beacons 10 to 12.
  • the passage of a vehicle near one of the detectors is detected by measuring with the sensors 22 the power of the sound wave generated by this vehicle.
  • the power of the measured sound wave is compared to a threshold and if this threshold is exceeded then a vehicle is detected.
  • each detector determines the direction of movement of the detected vehicle so as to distinguish incoming vehicles or vehicles leaving the section, if the route 4 is two-way.
  • the module 28 of each beacon counts, during a step 62, the number of vehicles that passed during this interval ⁇ T near this beacon from the data recorded by the detector 20.
  • the number of incoming vehicles on the section 8 counted by the beacon 11 is transmitted, during a step 64, to the beacon 12 via the radio link 42.
  • 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 Si 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.
  • the probability P i is established according to the data recorded by the detectors 20 and 52 and more precisely according to the number of vehicles enumerated during the step 66.
  • 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 below 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 .
  • the sensors 22 of the beacon 12 are also used, during a step 100, to measure the power of the ambient noise when no motor vehicle is present near the beacon.
  • the power thus measured is then compared, in a step 102, with the operating range 38. If the measured ambient noise power is within the operating range, then the process returns to step 100.
  • 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.
  • the operation of the system 110 is deduced from the operation of the system 2.
  • the main difference lies in the fact that the images acquired by the module 26 are only transmitted to the module 118 when the probability P i established by a beacon is greater than the threshold S a .
  • the activation unit 34 makes it possible to limit the bandwidth required to transmit images of a tag to the platform 48.
  • the presence of the activation module 34 also makes it possible to limit the computation power necessary to execute the image processing, since it is very unlikely that the module 118 will have to process in parallel the images acquired by the assembly. 110 system traffic beacons.
  • 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.
  • Each beacon may have a single camera or more than two cameras.
  • 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.
  • the activation threshold S a is a function of the mean S m .

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Traffic Control Systems (AREA)
  • Analysing Materials By The Use Of Radiation (AREA)
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 true EP1710767A1 (de) 2006-10-11
EP1710767B1 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)

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

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP2096611A1 (de) 2008-02-28 2009-09-02 Neavia Technologies Verfahren und Vorrichtung zur Multitechnologie-Erkennung in einem Fahrzeug
BE1018764A3 (nl) * 2009-05-27 2011-08-02 Traficon Nv Toestel en systeem voor tunneldetectie.

Families Citing this family (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0396432A2 (de) * 1989-05-05 1990-11-07 Golden River Limited Überwachungsvorrichtung
EP0856826A2 (de) * 1997-02-04 1998-08-05 Neil James Stevenson Sicherheitssystem
DE19727895A1 (de) * 1997-07-01 1999-02-11 Bosch Gmbh Robert Anordnung zur Verkehrserfassung auf einem Streckenabschnitt einer Straße
EP1414000A1 (de) * 2002-10-22 2004-04-28 Olindo Regazzo Verkehrsüberwachungssystem zur frühzeitigen Anzeige von Behinderungen auf der Strasse

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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
DE102004036565B4 (de) * 2004-07-28 2008-12-18 Robert Bosch Gmbh Vorrichtung und Verfahren zum Stabilisieren eines Fahrzeugs

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0396432A2 (de) * 1989-05-05 1990-11-07 Golden River Limited Überwachungsvorrichtung
EP0856826A2 (de) * 1997-02-04 1998-08-05 Neil James Stevenson Sicherheitssystem
DE19727895A1 (de) * 1997-07-01 1999-02-11 Bosch Gmbh Robert Anordnung zur Verkehrserfassung auf einem Streckenabschnitt einer Straße
EP1414000A1 (de) * 2002-10-22 2004-04-28 Olindo Regazzo Verkehrsüberwachungssystem zur frühzeitigen Anzeige von Behinderungen auf der Strasse

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP2096611A1 (de) 2008-02-28 2009-09-02 Neavia Technologies Verfahren und Vorrichtung zur Multitechnologie-Erkennung in einem Fahrzeug
BE1018764A3 (nl) * 2009-05-27 2011-08-02 Traficon Nv Toestel en systeem voor tunneldetectie.

Also Published As

Publication number Publication date
FR2884018A1 (fr) 2006-10-06
US7460949B2 (en) 2008-12-02
DE602006000189D1 (de) 2007-12-13
EP1710767B1 (de) 2007-10-31
ATE377234T1 (de) 2007-11-15
ES2294775T3 (es) 2008-04-01
DE602006000189T2 (de) 2008-08-14
US20060235612A1 (en) 2006-10-19

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