Query languages for multiple sensor data sources require a technique that allows fusion of the different types of sensor data that may be part of the queries. A method that generally can carry out the fusion process must therefore be developed. Such a process must be able to collect, transform and organize the information subject to fusion. It is of great importance that the uncertainties in th...

With the present thesis a contribution to the increase of the accuracy and reliability of a sensor-supported recognition and tracking of objects in a vehicle’s surroundings should be made. Based on a detection system, consisting of a stereo camera and a laser scanner, novel developed procedures are introduced for the whole processing chain of the sensor data. In addition, a new framework is int...

Sensor data fusion applications generally use networked computational resources to process information. For high sensor data rates, distributed, parallel computing is necessary to keep up with the processing of the incoming signals, and the dynamic management of these geographically dispersed resources is necessary for fault tolerance and efficient use of resources. This research reports on a p...

Ultrasonic sensors are still one of the most widely used sensors in mobile robotics A notorious problem in the use of sonar data is the lack of good spatial resolution which typically results in a high uncertainty in the resulting map of the environment In this paper a triangulation technique is used for ltering of data so as to obtain an improved grid map of the environment The basic technique...

The purpose of data fusion is to produce an improved model or estimate of a system from a set of independent data sources. There are various multisensor data fusion approaches, of which Kalman filtering is one of the most significant. Methods for Kalman filter based data fusion include measurement fusion and state fusion. This paper gives a simple a review of fusion and state fusion, and second...

One of the most critical issues in designing wireless sensor network is to minimize the energy consumption and increase longevity. In Wireless Sensor Network, data fusion can reduce data redundancy among sensed data and optimal sensor routing algorithm can provide strategy for data gathering with as minimum energy as possible. We combined data fusion and clustering method together to reduce the...

A sensor-fused system has been developed for detection of buried land mines. The system uses a ground-penetrating radar, an infrared camera, and an electromagnetic induction sensor. In the current implementation each sensor is used independently, and fusion is performed during post-processing. We briefly describe the sensors and a data collection involving buried mine surrogates. Algorithms for...

Advanced driver assistance systems (ADAS) have increasing demand for several sensor systems. Fusing multi-sensor data enlarges the field of view and increases the certainty and precision of the estimates. A crucial part of a fusion system is the data association, which requires data synchronization. The major synchronization strategies for data fusion are discussed and contrasted with respect t...

When performing post-classification comparison using images of different sensors, change detection is still possible even if images have different resolutions. However, in this case, change pixels are detected in the pixel size of coarser resolution image. This problem can be solved using higher resolution aerial photographs or panchromatic images if available. In multi sensor image fusion, ima...

During the last decades, Wireless Sensor Networks (WSNs) arises as an emerging and future enable technology due to the latest development in the field of wireless communication, computing and storage devices. Cluster based routing is an immense solution to enhance the energy efficiency of nodes in wireless sensor networks. In this paper we propose, simulate and authenticate Mobile Data Collecto...