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This paper presents a model-driven approach to developing pervasive computing applications that exploits design time information to support the engineering of planning and optimisation algorithms that reflect the presence of uncertainty, dynamism and complexity in the application domain. In particular the task of generating code to implement planning and optimisation algorithms in pervasive computing...
The linguistic description of a physical phenomenon is a summary of the available information where certain relevant aspects are remarked while other irrelevant aspects remain hidden. This paper deals with the development of computational systems capable to generate linguistic descriptions from images captured by a video camera. The problem of linguistically labeling images in a database is a challenge...
This paper describes hybrid fusion module used in a strong localization context (POMA) for embedded vehicle applications. This work has been developed in order to give an answer to the POMA (Positioning, Maps and local referencing) sub project objectives. These objectives are to provide, for a set of high level applications, a positioning service included a service quality, a metric accuracy (lane)...
In-sensor computing is a newly developing technology that has tremendous promises. If sensed events can be intelligently processed by software, a further leap in computing can be expected. Such technology can be used to create intelligent systems to solve many problems. In this paper we envision one such system, which is capable of detecting illegal drag races on public highways. It is simulated by...
A testbed for evaluation of online distributed simulations of transportation system infrastructures is described that includes a modest portion of an urban road network in the midtown region of Atlanta, Georgia. The testbed includes sensors, servers, wireless communications, and mobile transportation simulations configured to model the testbed region. The system architecture for this testbed is described...
The most common cause of traffic accidents is arguably the driver error due to lack of attention. And it is very unlikely this is going to change soon thanks to increasingly cell-phone usage, in-car entertainment systems, and naturally the more frequent traffic jams in highly populated areas. Autonomous vehicles, such as driverless cars, are a promising approach to decrease traffic accidents, as well...
This paper presents the problematic of outdoor vehicle localization under the IMM (interacting multiple model) approach. The IMM is now a well known modular approach, which is based on the discretization of the vehicle evolution space into simple maneuvers, represented each by a simple dynamic model such as constant velocity or constant turning etc. This allows the method to be optimized for highly...
Driving through streets of an inner city such as a downtown area sometimes can be frustrating. One might have to wait for a traffic light to turn green at an intersection where there is no car on the cross street. Or, there may be a lot of cars on the cross street that must be cleared in order to make the traffic flowing. The objective of this project is to develop an intelligent traffic controller...
Todaypsilas vehicles include a complex network of programmable electronic control units with software components. A vehiclepsilas electric and electronic (EE) architecture has to be modeled in an early design phase to evaluate design alternatives. The tool PREEvision offers possibilities to model EE-architectures considering feature function networks, function networks, component networks as well...
Creating fault detection software for complex mechatronic systems (e.g. modern vehicles) is costly both in terms of engineer time and hardware resources. With the availability of wireless communication in vehicles, information can be transmitted from vehicles to allow historical or fleet comparisons. New networked applications can be created that, e.g., monitor if the behavior of a certain system...
This paper proposes a framework of the dynamic data driven multi-agent simulation system (Gary M. Pereira, 2007) in maritime traffic domain. It presents a survey on the current developments of maritime traffic simulation. Multi-agent templates have been devised to capture the knowledge of how the individual agents interaction in pursuit of the shared goals to solve the complex problems of port maritime...
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