We will present case studies in the fusion of di erent sensory types on arm and mobile robots We will rst present a system in which an infrared heat sensor and ultrasonic sensors mounted on a mobile robot are used together to detect human intruders In this case mul tisensor fusion is necessitated by the fact that each sensor by itself is inadequate for the mission The signals from the di erent ...

High-density sensor arrays were prepared with microbead vapor sensors to explore and compare the information coded in sensor response profiles following odor stimulus. The coded information in the sensor-odor response profiles, which is used for odor discrimination purposes, was extracted from the microsensor arrays via two different approaches. In the first approach, the responses from individ...

This work deals with the analysis of a multisensor radar system in the context of maritime border control scenario. The system is composed by a receiver that exploits the signal emitted by two non co-operative transmitters of opportunity: a UMTS base station and a FM radio station. An algorithm for selecting the transmitter for the tracking of a radar target is proposed. This algorithm can prov...

Integrated opto-chemical sensors have promising prospects, for example by having the potential to be realized as very sensitive small monolithic smart multisensor systems with a digital signal output. Here the main accent will be laid on the optical principles underlying chemo-optical waveguiding sensors, focusing on linear evanescent field sensors. Sensing principles and systems based on inter...

We propose a technique of multisensor signal reconstruction based on the assumption, that source signals are spatially sparse, as well as have sparse [wavelet-type] representation in time domain. This leads to a large scale convex optimization problem, which involves l1 norm minimization. The optimization is carried by the Truncated Newton method, using preconditioned Conjugate Gradients in inn...

Remote driving is a difficult task, primarily because operators have problems understanding the remote environment and making control decisions. To make remote driving easier and more productive, we are developing sensor fusion techniques using range sensors to build active, sensor fusion based interfaces. In our work, we use sensor fusion to facilitate human perception and to enable efficient ...