Airborne near-real-time monitoring of assembly and parking areas in case of large-scale public events and natural disasters

Römer, Hannes; Kersten, Jens; Kiefl, Ralph; Plattner, Stefan; Mager, Alexander; Voigt, Stefan

doi:10.1080/13658816.2013.866240

Cited by 15 publications

(17 citation statements)

References 18 publications

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“…The total cost of a flight hour is 1200 EUR for the Cessna and 1600 EUR for the DO 228. Compared to the total turnover and gains during major events, the costs for flight hours might be acceptable, not to mention flight costs versus information gain by additional products, such as maps during a disaster [12]. The lightweight version of the airborne system mentioned above already had its first flight with the DLR BO 105 helicopter in June 2014.…”

Section: Dlr's In-house "3k/3k+" Camera Systemmentioning

confidence: 99%

“…Data are immediately sent to the ground via air-ground microwave radio relay or laser link [11]. The system is also able to send current orthorectified and georeferenced images to the ground that can be used to produce situation maps, which are required by relief forces [12]. The benefits of an airborne remote sensing system for the generation of traffic information are its universal and selective applicability, since it is not limited to major roads, and that it is independent of ground infrastructure.…”

Section: Motivationmentioning

confidence: 99%

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An Operational System for Estimating Road Traffic Information from Aerial Images

et al. 2014

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Given that ground stationary infrastructures for traffic monitoring are barely able to handle everyday traffic volumes, there is a risk that they could fail altogether in situations arising from mass events or disasters. In this work, we present an alternative approach for traffic monitoring during disaster and mass events, which is based on an airborne optical sensor system. With this system, optical image sequences are automatically examined on board an aircraft to estimate road traffic information, such as vehicle positions, velocities and driving directions. The traffic information, estimated in real time on board, is immediately downlinked to a ground station. The airborne sensor system consists of a three-head camera system, a real-time-capable GPS/INS unit, five industrial PCs and a downlink unit. The processing chain for automatic extraction of traffic information contains modules for the synchronization of image and navigation data streams, orthorectification and vehicle detection and tracking modules. The vehicle detector is based on a combination of AdaBoost and support vector machine classifiers. Vehicle tracking relies on shape-based matching operators. The processing chain is evaluated on a large number of image sequences recorded during several campaigns, and the data quality is compared to that obtained from induction loops. In summary, we can conclude that the achieved overall quality of the traffic data extracted by the airborne system is in the range of 68% and 81%. Thus, it is comparable to data obtained from stationary ground sensor networks.

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Section: Dlr's In-house "3k/3k+" Camera Systemmentioning

confidence: 99%

Section: Motivationmentioning

confidence: 99%

An Operational System for Estimating Road Traffic Information from Aerial Images

et al. 2014

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“…The usage of latest satellite data depends on the availability of appropriate satellite imagery services, current weather conditions and obtainable infrastructure for accessing those maps on site (Voigt et al, 2007). In major scenarios helicopter systems are commonly used, although its operation is expensive and relies on existing infrastructure (Römer et al, 2013).…”

Section: Disaster Assessmentmentioning

confidence: 99%

An Integrated Rapid Mapping System for Disaster Management

Hein

Bayer

Berger

et al. 2017

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:Natural disasters as well as major man made incidents are an increasingly serious threat for civil society. Effective, fast and coordinated disaster management crucially depends on the availability of a real-time situation picture of the affected area. However, in situ situation assessment from the ground is usually time-consuming and of limited effect, especially when dealing with large or inaccessible areas. A rapid mapping system based on aerial images can enable fast and effective assessment and analysis of medium to large scale disaster situations. This paper presents an integrated rapid mapping system that is particularly designed for real-time applications, where comparatively large areas have to be recorded in short time. The system includes a lightweight camera system suitable for UAV applications and a software tool for generating aerial maps from recorded sensor data within minutes after landing. The paper describes in particular which sensors are applied and how they are operated. Furthermore it outlines the procedure, how the aerial map is generated from image and additional gathered sensor data.

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“…Another application provided by VABENE++ is the semiautomatic derivation of parking or assembly areas from aerial imagery (Kersten 2014;Römer et al 2014). As a further development of the general workflow described in Römer et al (2014), GIS-server and geodatabase are deployed in a virtual machine, which is locally hosted at the mTDP in order to fulfil the requirement to be independent from any internet connections.…”

Section: Workflow and Data Distributionmentioning

confidence: 99%

“…As a further development of the general workflow described in Römer et al (2014), GIS-server and geodatabase are deployed in a virtual machine, which is locally hosted at the mTDP in order to fulfil the requirement to be independent from any internet connections. Occupancy information is ingested to an ESRI File Geodatabase and is provided as Representational State Transfer (REST) and Open Geospatial Consortium (OGC) -compliant Web Services (WMS/WFS).…”

Section: Workflow and Data Distributionmentioning

confidence: 99%

Airborne Camera System for Real-Time Applications – Support of a National Civil Protection Exercise

Gstaiger

Römer

Rosenbaum

et al. 2015

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:In the VABENE++ project of the German Aerospace Center (DLR), powerful tools are being developed to aid public authorities and organizations with security responsibilities as well as traffic authorities when dealing with disasters and large public events. One focus lies on the acquisition of high resolution aerial imagery, its fully automatic processing, analysis and near real-time provision to decision makers in emergency situations. For this purpose a camera system was developed to be operated from a helicopter with light-weight processing units and microwave link for fast data transfer. In order to meet end-users' requirements DLR works close together with the German Federal Office of Civil Protection and Disaster Assistance (BBK) within this project. One task of BBK is to establish, maintain and train the German Medical Task Force (MTF), which gets deployed nationwide in case of large-scale disasters. In October 2014, several units of the MTF were deployed for the first time in the framework of a national civil protection exercise in Brandenburg. The VABENE++ team joined the exercise and provided near real-time aerial imagery, videos and derived traffic information to support the direction of the MTF and to identify needs for further improvements and developments. In this contribution the authors introduce the new airborne camera system together with its near real-time processing components and share experiences gained during the national civil protection exercise.

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Airborne near-real-time monitoring of assembly and parking areas in case of large-scale public events and natural disasters

Cited by 15 publications

References 18 publications

An Operational System for Estimating Road Traffic Information from Aerial Images

An Operational System for Estimating Road Traffic Information from Aerial Images

An Integrated Rapid Mapping System for Disaster Management

Airborne Camera System for Real-Time Applications – Support of a National Civil Protection Exercise

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