Today due to the importance and necessity of implementing security systems in homes and other buildings, systems with higher certainty, lower cost and with sensor fusion methods are more attractive, as an applicable and high performance methods for the researchers. In this paper, the application of Dempster-Shafer evidential theory and also the newer, more general one Dezert-Smarandache theory ...

Many conventional methods for multisensor fusion have been based on the prede ned selection such as \which sensor is used for which situation," and mainly they have seemed to concentrated on the reconstruction of a 3-D geometric model of the environment supposing such a model would be generally useful. However, optimality of a priori selection by the programmer is not guaranteed, nor is such a ...

Despite its popularity, the development of an embedded real-time multisensor kinematic positioning and navigation system discourages many researchers and developers due to its complicated hardware environment setup and time consuming device driver development. To address these issues, this paper proposed a multisensor kinematic positioning and navigation system built on Linux with Real Time App...

In a typical multitarget tracking (MTT) scenario, the sensor state is either assumed known, or tracking is performed based on the sensor’s (relative) coordinate frame. This assumption becomes violated when the MTT sensor, such as a vehicular radar, is mounted on a vehicle, and the target state should be represented in a global (absolute) coordinate frame. Then it is important to consider the un...

This paper proposes the application of structured neural networks to classification of multisensor remote-sensing images. The purpose of our approach is to allow the interpretation of the “network behavior,” as it can be utilized by photointerpreters for the validation of the neural classifier. In addition, our approach gives a criterion for defining the network architecture, so avoiding the cl...

The latest developments in Markov models’ theory and their corresponding computational techniques have opened new rooms for image and signal modeling. In particular, the use of Dempster–Shafer theory of evidence within Markov models has brought some keys to several challenging difficulties that the conventional hidden Markov models cannot handle. These difficulties are concerned mainly with two...

The complementary nature of LADAR, FLIR and color data for ATR is being exploited by new algorithms in a three stage recognition system. The stages are initial detection, target class and pose hypothesis generation, and precise model to multisensor coregistra-tion matching. Coregistration globally aligns 3D target models with range, IR and color imagery while simultaneously reening registration...

Lucy Y. Pao Northwestern University Evanston, IL 60208 Abstract There have been several algorithms proposed for multisensor tracking of multiple objects using a centralized processing architecture, but because of considerations such as reliability, survivability, and communication bandwidth, distributed processing architectures are often the only alternative. The distributed fusion problem is m...

Almost all robot navigation systems work indoors. Outdoor robot navigation systems offer the potential for new application areas. The biggest single obstacle to building effective robot navigation systems is the lack of accurate wide-area sensors for trackers that report the locations and orientations of objects in an environment. Active (sensoremitter) tracking technologies require powered-dev...