This paper explores the possibility of applying multi-sensor information fusion technology to the development of smart aircraft. This technology integrates information from multiple sensors and extracts tactical information to detect, track and identify time critical targets at any time, in any place and under all weather conditions. Such target information will help the war fighter avoid fratr...

For a multi-hop wireless sensor network, the limited sensing and communication resources give rise to distinct challenges to the task of tracking mobile targets, which is traditionally treated primarily from the data fusion perspective. This paper investigates the impact of sensor management on data fusion in a resource-limited network. A localized multi-sensor multi-target tracking framework i...

Nowadays, the use of freeform surfaces in various functional applications has become more widespread. Multi-sensor coordinate measuring machines (CMMs) are becoming popular and are produced by many CMM manufacturers since their measurement ability can be significantly improved with the help of different kinds of sensors. Moreover, the measurement accuracy after data fusion for multiple sensors ...

Due to the falling price and availability of sensors, information capture and processing at a realtime or soft realtime rate is emerging as a dominating application space. This class includes interactive multimedia, robotics, security and surveillance applications and many more. A common denominator of these applications is fusion of data gathered by various sensors and data aggregators. In thi...

The Preventive and Active Safety Applications project (PReVENT), contributes to the safety goals of the European Commission (EC). PReVENT addresses the function fields of Safe Speed and Safe Following, Lateral Support, Intersection Safety and Protection of Vulnerable Road Users and Collision Mitigation in order to cover the field of active safety. The majority of these functions are characteriz...

Embedded sensor networks (ESNs) are one of the prime candidates for widely used ubiquitous computing systems that will bridge the gap between computing and physical worlds. One of the most important generic ESN tasks is multi-modal sensor fusion, where data from sensors of different modalities are combined in order to obtain better information mapping of the physical world. One of the key prere...

Image Fusion, a technique which combines complimentary information from different images of the same scene so that the fused image is more suitable for segmentation, feature extraction, object recognition and Human Visual System. In the proposed thesis work, a fast and efficient algorithm based on wavelet transform for multi-sensor image data has been proposed that could retrieve the prime feat...