Robust sensor fusion in real maritime surveillance scenarios

8 pages, 14 figures.-- Proceedings of: 13th International Conference on Information Fusion (FUSION'2010), Edinburgh, Scotland, UK, Jul 26-29, 2010).This paper presents the design and evaluation of a sensor fusion system for maritime surveillance. The system must exploit the complementary AIS-radar sensing technologies to synthesize a reliable surveillance picture using a highly efficient implementation to operate in dense scenarios. The paper highlights the realistic effects taken into account for robust data combination and system scalability.This work was supported in part by a national project with NUCLEO CC, and research projects CICYT TEC2008-06732-C02-02/TEC, CICYT TIN2008-06742-C02-02/TSI, SINPROB, CAM CONTEXTS S2009/TIC-1485 and DPS2008-07029-C02-02.Publicad

Generating Test Cases for Marine Safety and Security Scenarios: A Composition Framework

In this paper we address the problem of testing complex computer models forinfrastructure protection and emergency response based on detailed and realisticapplication scenarios using advanced computational methods and tools. Specifically,we focus here on testing situation analysis decision support models for marine safety& security operations as a sample application domain. Arguably, methodicalapproaches for analyzing and validating situation analysis methods, decision supportmodels, and information fusion algorithms require realistic vignettes that describe ingreat detail how a situation unfolds over time depending on initial configurations,dynamic environmental conditions and uncertain operational aspects. Meaningfulresults from simulation runs require appropriate test cases, the production of whichis in itself a complex activity. To simplify this task, we introduce here the conceptualdesign of a Vignette Generator that has been developed and tested in an industrialresearch project. We also propose a framework for composing vignettes fromreusable vignette elements together with a formal representation for vignettes usingthe Abstract State Machine method and illustrate the approach by means of variouspractical examples

Arctic Domain Awareness Center DHS Center of Excellence (COE): Project Work Plan

As stated by the DHS Science &Technology Directorate, “The increased and diversified use of maritime spaces in the Arctic - including oil and gas exploration, commercial activities, mineral speculation, and recreational activities (tourism) - is generating new challenges and risks for the U.S. Coast Guard and other DHS maritime missions.” Therefore, DHS will look towards the new ADAC for research to identify better ways to create transparency in the maritime domain along coastal regions and inland waterways, while integrating information and intelligence among stakeholders. DHS expects the ADAC to develop new ideas to address these challenges, provide a scientific basis, and develop new approaches for U.S. Coast Guard and other DHS maritime missions. ADAC will also contribute towards the education of both university students and mid-career professionals engaged in maritime security. The US is an Arctic nation, and the Arctic environment is dynamic. We have less multi-year ice and more open water during the summer causing coastal villages to experience unprecedented storm surges and coastal erosion. Decreasing sea ice is also driving expanded oil exploration, bringing risks of oil spills. Tourism is growing rapidly, and our fishing fleet and commercial shipping activities are increasing as well. There continues to be anticipation of an economic pressure to open up a robust northwest passage for commercial shipping. To add to the stresses of these changes is the fact that these many varied activities are spread over an immense area with little connecting infrastructure. The related maritime security issues are many, and solutions demand increasing maritime situational awareness and improved crisis response capabilities, which are the focuses of our Work Plan. UAA understands the needs and concerns of the Arctic community. It is situated on Alaska’s Southcentral coast with the port facility through which 90% of goods for Alaska arrive. It is one of nineteen US National Strategic Seaports for the US DOD, and its airport is among the top five in the world for cargo throughput. However, maritime security is a national concern and although our focus is on the Arctic environment, we will expand our scope to include other areas in the Lower 48 states. In particular, we will develop sensor systems, decision support tools, ice and oil spill models that include oil in ice, and educational programs that are applicable to the Arctic as well as to the Great Lakes and Northeast. The planned work as detailed in this document addresses the DHS mission as detailed in the National Strategy for Maritime Security, in particular, the mission to Maximize Domain Awareness (pages 16 and 17.) This COE will produce systems to aid in accomplishing two of the objectives of this mission. They are: 1) Sensor Technology developing sensor packages for airborne, underwater, shore-based, and offshore platforms, and 2) Automated fusion and real-time simulation and modeling systems for decision support and planning. An integral part of our efforts will be to develop new methods for sharing of data between platforms, sensors, people, and communities.United States Department of Homeland SecurityCOE ADAC Objective/Purpose / Methodology / Center Management Team and Partners / Evaluation and Transition Plans / USCG Stakeholder Engagement / Workforce Development Strategy / Individual Work Plan by Projects Within a Theme / Appendix A / Appendix B / Appendix

Sustained Observations of Changing Arctic Coastal and Marine Environments and Their Potential Contribution to Arctic Maritime Domain Awareness: A Case Study in Northern Alaska

Increased maritime activities and rapid environmental change pose significant hazards, both natural and technological, to Arctic maritime operators and coastal communities. Currently, U.S. and foreign research activities account for more than half of the sustained hazard-relevant observations in the U.S. maritime Arctic, but hazard assessment and emergency response are hampered by a lack of dedicated hazard monitoring installations in the Arctic. In the present study, we consider a number of different sustained environmental observations associated with research into atmosphere-ice-ocean processes, and discuss how they can help support the toolkit of emergency responders. Building on a case study at Utqiaġvik (Barrow), Alaska, we investigate potential hazards in the seasonally ice-covered coastal zone. Guided by recent incidents requiring emergency response, we analyze data from coastal radar and other observing assets, such as an ice mass balance site and oceanographic moorings, in order to outline a framework for coastal maritime hazard assessments that builds on diverse observing systems infrastructure. This approach links Arctic system science research to operational information needs in the context of the development of a Common Operational Picture (COP) for Maritime Domain Awareness (MDA) relevant for Arctic coastal and offshore regions. A COP in these regions needs to consider threats not typically part of the classic MDA framework, including sea ice or slow-onset hazards. An environmental security and MDA testbed is proposed for northern Alaska, building on research and community assets to help guide a hybrid research-operational framework that supports effective emergency response in Arctic regions.L’augmentation des activités maritimes et l’évolution rapide de l’environnement présentent des risques naturels et technologiques importants pour les opérateurs maritimes et les collectivités côtières de l’Arctique. Actuellement, les travaux de recherche, tant américains qu’étrangers, représentent plus de la moitié des observations prolongées liées aux dangers dans l’Arctique maritime américain, mais l’évaluation des risques et les interventions d’urgence sont entravées par le manque d’installations consacrées à la surveillance des dangers dans l’Arctique. Dans la présente étude, nous nous penchons sur diverses observations environnementales prolongées en matière de recherche sur les processus atmosphère-glace-océan et nous discutons de la façon dont elles peuvent contribuer aux interventions d’urgence. En nous appuyant sur une étude de cas faite à Utqiaġvik (Barrow), en Alaska, nous étudions les risques potentiels inhérents à la zone côtière couverte de glace saisonnière. Motivés par des incidents récents qui ont nécessité des interventions d’urgence, nous analysons les données provenant des radars côtiers et d’autres ressources d’observation, comme un site de bilan de masse des glaciers et des amarrages océanographiques, afin d’établir un cadre pour évaluer les risques maritimes côtiers, cadre qui s’appuie sur diverses infrastructures de systèmes d’observation. Cette approche relie la recherche scientifique sur le système arctique aux besoins d’information opérationnelle dans le contexte du développement d’une image commune de la situation opérationnelle (ICSO) pour la connaissance du domaine maritime (CDM) pertinente des zones côtières et extracôtières de l’Arctique. Une ICSO dans ces zones doit prendre en compte les menaces ne faisant généralement pas partie du cadre classique de la CDM, y compris la glace de mer ou les dangers à évolution lente. En s’appuyant sur des travaux de recherche et l’apport des collectivités, un banc d’essai en matière de sécurité environnementale et de CDM est proposé pour le nord de l’Alaska afin de guider un cadre hybride de recherche et d’opération qui favoriserait une intervention d’urgence efficace dans les régions arctiques

Cooperative Air and Ground Surveillance

Unmanned aerial vehicles (UAVs) can be used to cover large areas searching for targets. However, sensors on UAVs are typically limited in their accuracy of localization of targets on the ground. On the other hand, unmanned ground vehicles (UGVs) can be deployed to accurately locate ground targets, but they have the disadvantage of not being able to move rapidly or see through such obstacles as buildings or fences. In this article, we describe how we can exploit this synergy by creating a seamless network of UAVs and UGVs. The keys to this are our framework and algorithms for search and localization, which are easily scalable to large numbers of UAVs and UGVs and are transparent to the specificity of individual platforms. We describe our experimental testbed, the framework and algorithms, and some results

INTEROPERABILITY FOR MODELING AND SIMULATION IN MARITIME EXTENDED FRAMEWORK

This thesis reports on the most relevant researches performed during the years of the Ph.D. at the Genova University and within the Simulation Team. The researches have been performed according to M&S well known recognized standards. The studies performed on interoperable simulation cover all the environments of the Extended Maritime Framework, namely Sea Surface, Underwater, Air, Coast & Land, Space and Cyber Space. The applications cover both the civil and defence domain. The aim is to demonstrate the potential of M&S applications for the Extended Maritime Framework, applied to innovative unmanned vehicles as well as to traditional assets, human personnel included. A variety of techniques and methodology have been fruitfully applied in the researches, ranging from interoperable simulation, discrete event simulation, stochastic simulation, artificial intelligence, decision support system and even human behaviour modelling

Cooperative Air and Ground Survaillance

Unmanned aerial vehicles (UAVs) can be used to cover large areas searching for targets. However, sensors on UAVs are typically limited in their accuracy of localization of targets on the ground. On the other hand, unmanned ground vehicles (UGVs) can be deployed to accurately locate ground targets, but they have the disadvantage of not being able to move rapidly or see through such obstacles as buildings or fences. In this article, we describe how we can exploit this synergy by creating a seamless network of UAVs and UGVs. The keys to this are our framework and algorithms for search and localization, which are easily scalable to large numbers of UAVs and UGVs and are transparent to the specificity of individual platforms. We describe our experimental testbed, the framework and algorithms, and some results

WSU Research News, Winter/Spring 2011

A twenty-four page newsletter of the WSU Research News. The WSU Research News was published monthly beginning in June of 1968 and issued by the Office of Research Development. This newsletter was created to provide information to the WSU faculty about the availability of outside funds for research and educational programs, new developments that may affect availability of funds, and general information on research and educational activities at Wright State University.https://corescholar.libraries.wright.edu/wsu_research_news/1202/thumbnail.jp