WO2010081200A1 - Système et procédé de surveillance aérienne - Google Patents

Système et procédé de surveillance aérienne Download PDF

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Publication number
WO2010081200A1
WO2010081200A1 PCT/AU2010/000040 AU2010000040W WO2010081200A1 WO 2010081200 A1 WO2010081200 A1 WO 2010081200A1 AU 2010000040 W AU2010000040 W AU 2010000040W WO 2010081200 A1 WO2010081200 A1 WO 2010081200A1
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WO
WIPO (PCT)
Prior art keywords
vehicle
recording
speeding
over
speed
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.)
Ceased
Application number
PCT/AU2010/000040
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English (en)
Inventor
Trevor George Natt
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.)
FLYNEYE Pty Ltd
Original Assignee
FLYNEYE Pty Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Priority claimed from AU2009900158A external-priority patent/AU2009900158A0/en
Application filed by FLYNEYE Pty Ltd filed Critical FLYNEYE Pty Ltd
Priority to AU2010205905A priority Critical patent/AU2010205905C1/en
Publication of WO2010081200A1 publication Critical patent/WO2010081200A1/fr
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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Classifications

    • 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
    • G08G1/052—Detecting movement of traffic to be counted or controlled with provision for determining speed or overspeed
    • G08G1/054—Detecting movement of traffic to be counted or controlled with provision for determining speed or overspeed photographing overspeeding vehicles

Definitions

  • the invention relates to a system and method of aerial surveillance, and more particularly to a system and method of aerial surveillance of motor vehicles to identify S vehicles which are involved in traffic infringements or other criminal activities.
  • Identifying speeding vehicles on a motorway or highway can be difficult,O particularly from ground level where visibility is typically limited to the next selection of vehicles in front or behind a surveillance point.
  • aerial surveillance Due to these disadvantages of ground based vehicle speed surveillance, it is known to have aerial surveillance which can identify speeding vehicles easier, as well as covering greater areas of traffic from a single aerial vehicle. Once a speeding vehicle is identified, the aerial surveillance unit typically notifies a ground vehicle to engage and/or pursue the speed offender. Such aerial vehicles are typically helicopters, due to their flexibility in the air (e.g. being able to remain stationary, or track a vehicle at a slow speed), but fixed wing aeroplanes can also by used. It is a disadvantage of aerial surveillance that it is very costly and required substantial resources, meaning it is often underutilised. Furthermore, aerial traffic units do not sufficiently gather and log proof of a traffic speeding offence, meaning that they are usually only used as a screening mechanism to find potential speeders for ground support to pursue.
  • the system by which the majority of conventional speed camera devices function is by monitoring the position of a vehicle passing a device at two times which are a predetermined period apart, calculating the distance travelled in that time from the position monitoring in order to calculate the speed of the vehicle, comparing the calculated vehicle speed to the speed limit in that portion of the road, and capturing a still image of the rear of the vehicle and hopefully identifying details of infringing vehicle.
  • a system for detecting and recording evidence of a speeding vehicle comprising: an aerial surveillance unit recording a video feed of traffic over a designated thoroughfare; determining whether a vehicle in the video feed is travelling over a designated speed limit; and if a vehicle is found to be travelling over the designated speed limit, recording a continuous video of the speeding vehicle including evidence of the speed of the vehicle and a clear view of an identification means on the vehicle.
  • detecting and recording evidence a speeding vehicle comprising the steps of: recording a video feed of traffic over a designated thoroughfare from an aerial surveillance unit; determining whether a vehicle in the video feed is travelling over a designated speed limit; and if a vehicle is found to be travelling over the designated speed limit, recording a continuous video of the speeding vehicle including evidence of the speed of the vehicle and a clear view of an identification means on the vehicle.
  • the aerial surveillance unit is a gyroplane.
  • the aerial surveillance unit may be a Seabird Aviation SB7L-360A, or other suitable light aircraft that meets Civil Aviation Safety Authority (CASA) requirements for commercial use.
  • the video may be recorded digitally or in analogue, and no limitation is meant thereby. However, preferably the recording will be a digital recording using standard compression algorithms and storage systems.
  • the designated thoroughfare is typically a motorway or highway, and may have markings painted thereon to assist in determining the speed of vehicles from the aerial surveillance unit.
  • the road may have markers painted periodically (e.g. every 100 metres and/or every 1000 metres) and the period of time it takes a vehicle to travel that distance may be measured.
  • markers may be in the visible light spectrum, or may be only detectable by, for example, an infra red camera.
  • the recording means has a built-in timer to accurately time a vehicle over a known distance.
  • the speed of the vehicle may be calculated automatically or manually and may involve other mechanisms other than timing a vehicle over a set distance.
  • the speed of the vehicle may be determined using radars, lasers, trigonometry, or other means, and no limitation is meant thereby.
  • the speed of a vehicle will be calculated automatically.
  • An indicator such as a light, buzzer and/or video warning, may be provided to issue a notification when a speeding vehicle has been found.
  • One manner of calculating the speed of a vehicle is that described above namely to monitor the position of a vehicle at two times which are a predetermined period apart, calculating the distance travelled in that time from the position monitoring in order to calculate the speed of the vehicle. The system can then compare the calculated vehicle speed to the speed limit in that portion of the road designated thoroughfare.
  • the identification means is a vehicle number plate.
  • the identification means could also be any other suitable means including an electronically readable element.
  • the speeding vehicle is recorded and monitored for at least l km of road travel.
  • the camera may automatically track the vehicle, or may be manually tracked.
  • the aerial surveillance unit may also have to track and/or follow the vehicle to ensure an adequate uninterrupted recording of the continuous video.
  • the camera is high resolution so that a numberplate of a vehicle may be clearly read and recorded from the aerial surveillance unit.
  • the camera preferably has an optical and/or digital zoom that can enhance the visibility of the identification means without disrupting the continuous video.
  • the aerial surveillance unit will manoeuvre in a position where a second identification means can be recorded whilst continuously recording.
  • the identification means is a number plate
  • the aerial surveillance can navigate to record the front number plate without disrupting the continuity of the recording.
  • the continuous recording may occur over a set portion of the designated thoroughfare.
  • the recording may be triggered to commence and the recording may continue until the vehicle leaves the set portion of the designated thoroughfare.
  • the system may then either delete the recorded footage or retain the recorded footage depending upon whether the vehicle has infringed the speed limit or not.
  • the continuous video is preferably stored.
  • the continuous video may be utilised as evidence to an offender that their vehicle was found to be speeding in a limited area.
  • the recorded data may be sent to an appropriate law enforcement agency to issue a ticket to the owner of the speeding vehicle.
  • the continuous video may be made available to be ordered by an alleged offender to provide evidence of their vehicle being found speeding. Ordering the continuous video may or may not incur a charge, but preferably a charge is incurred when ordering the video.
  • the continuous video may be distributed digitally, or may be sent on a DVD or video tape. In a 100km/hr speed zone, it is envisaged that the continuous video will cover the vehicle travelling at least lkm of the thoroughfare and last at least 40 seconds.
  • the alleged offender may be provided with the option to pay a fine and/or dispute the allegation. Such actions are preferably conducted by systems already in place for traffic related offences.
  • the aircraft simultaneously records in real-time at least some of the following: a map of the location being recorded, the time, the date, the direction of travel, GPS co-ordinates, and/or the speed at which the vehicle was calculated to be travelling.
  • This may be recorded and added to or embedded into the video recording (e.g. overlaid, or separately to the video feed), or may be recorded and stored as separate data (which may also subsequently be overlaid).
  • Figure I A illustrates a plan view of a road with two vehicles thereon.
  • Figure I B illustrates a plan view of the road with two vehicles thereon illustrated in figure I A a time period later.
  • Figure 2 illustrates a flow chart of a system in accordance with an embodiment of the invention.
  • FIG. 1 A and I B is a plan view of a two lane one-way road with two vehicles 10 and 20 thereon.
  • the plan view is indicative of the view an aerial surveillance unit would have when tracking and monitoring traffic over a designated thoroughfare.
  • markers 30, 40 may be placed on the road designating a set distance. The time a vehicle takes to travel the distance can be measured and an average speed over that distance can consequently be determined. The known distance between the markers is usually far enough apart to be recorded easily, such as I kilometre. At l OOkm/hr, a typical speed limit, it takes a vehicle 36 seconds to travel a kilometre which is considered to be a suitable, and likely maximum, time required - to determine the speed of a vehicle.
  • vehicle 20 is seen at the first marker 30, and the time at which it crosses the first marker 30 is recorded (or, a timer/counter is initiated at this point).
  • Vehicle 10 has already passed the first marker 30, and the speed of this vehicle may be determined separately or simultaneously, in which case the time it crossed marker 30 would have also been recorded.
  • the average speed of the 5 vehicle over that distance would be approximately 120km/hr.
  • vehicle 10 has not moved as far and is approaching the second marker 40.
  • the average speed of vehicle 10 over the distance can be calculated once it has passed the second marker 40.
  • vehicle 10 will have a lower average speed as it is taking longer to traverse the distance between markers 30, 40.
  • the aerial surveillance unit Upon detection of a speeding vehicle, the aerial surveillance unit records a continuous video of the vehicle including evidence of the speed of the vehicle, and at leastJ one view of an identification means, such as a number plate, on the vehicle.
  • an identification means such as a number plate
  • the aerial surveillance unit and/or camera may need to be manoeuvred as appropriate.
  • the aerial surveillance unit and/or camera are manoeuvred to record (continuously) a second number plate, such as the front number plate.
  • a second number plate such as the front number plate.
  • other information is gathered and recorded simultaneously.
  • Such information preferably includes at least a selection of the following: the time, the date, the direction of travel, the name of the thoroughfare, a map, GPS readings, distance travelled, and the calculated speed of the vehicle (e.g. real-time, moving average, or overall average).
  • the system continues looking for speeding vehicles. This is illustrated in figure 2 at point 50.
  • the video(s) are sent to a traffic offence ticket issuing office.
  • the traffic offence ticket issuing office may then review the videos and, if sufficient evidence has been collected, issue a speeding ticket to the owner of the identified vehicle.
  • the owner of the vehicle can then either pay the ticket, request the video.
  • the actions of issuing a ticket and/or disputing a claim are similar actions to, if not the same as, those when a standard fixed photographic speed camera system detects and records a speeding vehicle.
  • the owner of the identified vehicle is not the person driving the vehicle when it was speeding, the same procedures applied for a photographic ticket offence are undertaken.
  • the owner of the identified vehicle may have to prepare and file a statutory declaration saying they were not driving the vehicle and/or include who they believe was driving the vehicle.
  • the owner of an identified vehicle wishes to request a video, it is sent to the owner either electronically (e.g. over the internet) or on DVD. There may be a charge associated with this action which the owner of the identified vehicle or the person subsequently identified as the driver may bear.

Landscapes

  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Traffic Control Systems (AREA)

Abstract

L'invention concerne un procédé et un système de surveillance aérienne, et consiste en particulier à détecter et enregistrer des preuves de véhicules en excès de vitesse. Une unité de surveillance aérienne, telle qu'un gyrocoptère, est utilisée pour enregistrer un flux vidéo de trafic sur une voie de circulation désignée. La vitesse d'au moins certains des véhicules est déterminée, et si l'on constate qu'un véhicule se déplace à une vitesse supérieure à une limite de vitesse désignée, une vidéo continue du véhicule en excès de vitesse est enregistrée, cette vidéo comprenant des preuves de la vitesse du véhicule et une vue claire d'un moyen d'identification du véhicule.
PCT/AU2010/000040 2009-01-15 2010-01-14 Système et procédé de surveillance aérienne Ceased WO2010081200A1 (fr)

Priority Applications (1)

Application Number Priority Date Filing Date Title
AU2010205905A AU2010205905C1 (en) 2009-01-15 2010-01-14 System and method of aerial surveillance

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
AU20099000158 2009-01-15
AU2009900158A AU2009900158A0 (en) 2009-01-15 System and Method of Aerial Surveillance

Publications (1)

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WO2010081200A1 true WO2010081200A1 (fr) 2010-07-22

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Cited By (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20150009331A1 (en) * 2012-02-17 2015-01-08 Balaji Venkatraman Real time railway disaster vulnerability assessment and rescue guidance system using multi-layered video computational analytics
WO2015089600A1 (fr) * 2013-12-20 2015-06-25 Perkons S.A. Système et procédé pour surveillance et contrôle de trafic et enregistrement d'infractions de circulation, et véhicule aérien sans équipage correspondant
DE102017208333A1 (de) * 2017-05-17 2018-11-22 Jenoptik Robot Gmbh Verfahren zum Überwachen eines Fahrzeugs mittels zumindest eines unbemannten Luftfahrzeugs, Steuergerät und unbemanntes Luftfahrzeug
CN108877241A (zh) * 2018-08-29 2018-11-23 深圳市旭发智能科技有限公司 一种用于超速车辆跟踪监控的无人机及存储介质
RU2739067C1 (ru) * 2020-06-30 2020-12-21 Федеральное государственное бюджетное учреждение "16 Центральный научно-исследовательский испытательный ордена Красной Звезды институт имени маршала войск связи А.И. Белова" Министерства обороны Российской Федерации Мобильный комплекс связи и управления
US12112553B2 (en) 2020-11-09 2024-10-08 Hayden Ai Technologies, Inc. Lane violation detection using convolutional neural networks
US12142001B1 (en) 2023-12-28 2024-11-12 Hayden Ai Technologies, Inc. Systems and methods for determining a pose and motion of a carrier vehicle
US12223733B2 (en) 2022-11-14 2025-02-11 Hayden Ai Technologies, Inc. System and methods for automatically validating evidence of traffic violations using automatically detected context features
US12266261B2 (en) 2021-01-28 2025-04-01 Hayden Ai Technologies, Inc. Systems and methods for managing traffic rules using multiple mapping layers with traffic management semantics
US12283117B2 (en) 2023-08-30 2025-04-22 Hayden Ai Technologies, Inc. Systems and methods for automated license plate recognition
US12316927B2 (en) 2022-11-16 2025-05-27 Hayden Ai Technologies, Inc. Behind the windshield camera-based perception system for autonomous traffic violation detection
US12333821B2 (en) 2021-04-28 2025-06-17 Hayden Ai Technologies, Inc. Systems and methods for enforcing traffic congestion pricing

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US5589901A (en) * 1995-05-15 1996-12-31 Means; Kevin P. Apparatus and method for synchronizing search and surveillance devices

Patent Citations (1)

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US5589901A (en) * 1995-05-15 1996-12-31 Means; Kevin P. Apparatus and method for synchronizing search and surveillance devices

Non-Patent Citations (2)

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MARK HARRIS: "Nicked by PC Drone, robot spy in the sky", THE SUNDAY TIMES, 20 April 2008 (2008-04-20), Retrieved from the Internet <URL:http://www.timesonline.co.uk/tol/driving/features/article3768694.ece> [retrieved on 20100218] *

Cited By (17)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20150009331A1 (en) * 2012-02-17 2015-01-08 Balaji Venkatraman Real time railway disaster vulnerability assessment and rescue guidance system using multi-layered video computational analytics
WO2015089600A1 (fr) * 2013-12-20 2015-06-25 Perkons S.A. Système et procédé pour surveillance et contrôle de trafic et enregistrement d'infractions de circulation, et véhicule aérien sans équipage correspondant
CN106030666A (zh) * 2013-12-20 2016-10-12 珀肯斯公司 交通监控和监视系统和方法，以及对应的交通违规记录系统和无人机
EP3086294A4 (fr) * 2013-12-20 2017-10-25 Perkons S.A. Système et procédé pour surveillance et contrôle de trafic et enregistrement d'infractions de circulation, et véhicule aérien sans équipage correspondant
CN106030666B (zh) * 2013-12-20 2019-07-23 珀肯斯公司 交通监控和监视系统和方法，以及对应的交通违规记录系统和无人机
US10677917B2 (en) 2013-12-20 2020-06-09 Perkons S.A. Traffic monitoring and surveillance system and method, and corresponding traffic infraction recording system and unmanned air vehicle
DE102017208333A1 (de) * 2017-05-17 2018-11-22 Jenoptik Robot Gmbh Verfahren zum Überwachen eines Fahrzeugs mittels zumindest eines unbemannten Luftfahrzeugs, Steuergerät und unbemanntes Luftfahrzeug
CN108877241A (zh) * 2018-08-29 2018-11-23 深圳市旭发智能科技有限公司 一种用于超速车辆跟踪监控的无人机及存储介质
RU2739067C1 (ru) * 2020-06-30 2020-12-21 Федеральное государственное бюджетное учреждение "16 Центральный научно-исследовательский испытательный ордена Красной Звезды институт имени маршала войск связи А.И. Белова" Министерства обороны Российской Федерации Мобильный комплекс связи и управления
US12112553B2 (en) 2020-11-09 2024-10-08 Hayden Ai Technologies, Inc. Lane violation detection using convolutional neural networks
US12387505B2 (en) 2020-11-09 2025-08-12 Hayden Ai Technologies, Inc. Lane violation detection using convolutional neural networks
US12266261B2 (en) 2021-01-28 2025-04-01 Hayden Ai Technologies, Inc. Systems and methods for managing traffic rules using multiple mapping layers with traffic management semantics
US12333821B2 (en) 2021-04-28 2025-06-17 Hayden Ai Technologies, Inc. Systems and methods for enforcing traffic congestion pricing
US12223733B2 (en) 2022-11-14 2025-02-11 Hayden Ai Technologies, Inc. System and methods for automatically validating evidence of traffic violations using automatically detected context features
US12316927B2 (en) 2022-11-16 2025-05-27 Hayden Ai Technologies, Inc. Behind the windshield camera-based perception system for autonomous traffic violation detection
US12283117B2 (en) 2023-08-30 2025-04-22 Hayden Ai Technologies, Inc. Systems and methods for automated license plate recognition
US12142001B1 (en) 2023-12-28 2024-11-12 Hayden Ai Technologies, Inc. Systems and methods for determining a pose and motion of a carrier vehicle

Also Published As

Publication number Publication date
AU2010205905C1 (en) 2018-06-14
AU2010205905B2 (en) 2011-12-08
AU2010205905A1 (en) 2010-07-22

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