The problem of linear modulation classification using likelihood based methods is considered. Asymptotic properties of most commonly used classifiers in the literature are derived. These classifiers are based on hybrid likelihood ratio test (HLRT) and average likelihood ratio test (ALRT) respectively. Both a single-sensor setting and a multi-sensor setting that uses a distributed decision fusio...

Sensor data fusion is essential for environmental perception within smart traffic applications. By using multiple sensors cooperatively, the accuracy and probability of are increased, which crucial critical scenarios or under bad weather conditions. In this paper, a modular real-time capable multi-sensor framework presented tested to fuse on object list level from distributed automotive (camera...

A new DS (Dempster-Shafer) combination method is presented in this paper. As data detected by a single sensor are characterized by not only fuzziness, but also partial reliability, the development of multi-sensor information fusion becomes extremely indispensable. The DS evidence theory is an effective means of information fusion, which can not only deal with the uncertainty and inconsistency o...

Abstract: The SLAM problem in static environments with EKF is adapted for multi-rate sensor fusion of encoders and laser rangers. In addition, the formulation is general and can be adapted for any multi-rate sensor fusion application. The proposed algorithm, based on well-known techniques for feature extraction, data association and map building, is validated with some experimental results. Thi...

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 ...

In order for autonomous mobile robots to survive in the real world they have to be aware of the environment. The self-assembling micro robots developed in the European project Replicator are destined for such a task. By using several modalities, these robots must be able to detect and recognize interesting objects in the environment. This thesis presents a biologically inspired cognitive sensor...

Although some papers argued that multi-sensor fusion could improve performances and robustness of fingerprint verification systems, no previous work explicitly dealt with such topic, and no experimental evidence has been reported. In this paper, we show by experiments that a significant performance improvement can be obtained by decision-level fusion of two well-known fingerprint capture device...