A terrain risk assessment method for military surveillance applications for mobile assets

Buyurgan, Nebil; Lehlou, Nabil

doi:10.1016/j.cie.2015.06.025

Cited by 8 publications

(2 citation statements)

References 8 publications

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“…Surveillance systems have been evolving from simple local close-circuit television systems, aeronautical/aerospace systems [1-3], and integrated cities infrastructure systems [4] to complex military systems [5]. With the evolution of technology, the surveillance systems have become more powerful, with complex autonomous tasks delivered by Artificial Intelligence (AI) platforms [6].…”

Section: Introductionmentioning

confidence: 99%

Large Geographical Area Aerial Surveillance Systems Data Network Infrastructure Managed by Artificial Intelligence and Certified over Blockchain: A Review

Batista

Melício

Santos

2021

Network

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This paper proposes an aerial data network infrastructure for Large Geographical Area Surveillance Systems. The work presents a review of previous works from the authors, existing technologies in the market, and other scientific work, with the goal of creating a data network supported by Autonomous Tethered Aerostat Airships used for sensor fixing, a drones deployment base, and meshed data network nodes installation. The proposed approach for data network infrastructure supports several independent and heterogeneous services from independent, private, and public companies. The presented solution employs Edge Artificial Intelligence (AI) systems for autonomous infrastructure management. The Edge AI used in the presented solution enables the AI management solution to work without the need for a permanent connection to cloud services and is constantly fed by the locally generated sensor data. These systems interact with other network AI services to accomplish coordinated tasks. Blockchain technology services are deployed to ensure secure and auditable decisions and operations, which are validated by the different involved ledgers.

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Section: Introductionmentioning

confidence: 99%

Large Geographical Area Aerial Surveillance Systems Data Network Infrastructure Managed by Artificial Intelligence and Certified over Blockchain: A Review

Batista

Melício

Santos

2021

Network

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“…For vehicles travelling in off-road environment, it is influenced by the terrain condition a lot, such as the soil strength [1,2,3]. Especially in some soft soil, the soil strength may be too weak to support the move of vehicle and cause it sink in [4]. To study the overall performance of a vehicle to the terrain, a theory called terramechanics was proposed which is a study of the overall performance of a vehicle in relation to its operating environment-the terrain [5].…”

Section: Introductionmentioning

confidence: 99%

Application of Terramechanics in Off-road Vehicle Performance Prediction

Wang¹,

Zhang²,

Wang³

et al. 2018

dtetr

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This paper is an introduction of terramechanics and its application in off-road vehicle mobility prediction. Firstly the concept of terramechanics is introduced. Terramechanics is an important branch of applied mechanics in which the interaction between the vehicle and its operating terrain is studied. Secondly, many well-known techniques in terramechanics, such as Cone Penetrometer technique, Bevameter technique are introduced. By comparing the RCI of soil with VCI of vehicle, trafficability of Off-road vehicle can be determined which predicts the "go/no go" property of vehicle. Furthermore, to predict the speed behavior of off-road vehicle over trafficable terrain, three types of analyzing methods, empirical, semi-empirical, computer-aided, are presented in detail. It is evident that computeraided method is much more efficient in simulating terrain-vehicle interaction and produces more realistic prediction in vehicle mobility. Therefore, it is meaningful to develop computer-aided method to provide engineers with powerful parametric analysis in vehicle performance and design.

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