Active safety systems are gradually becoming practical with advances in environmental sensing and vehicle control technologies. Analyses of driver errors leading to road traffic accidents, however, have shown that drivers still make mistakes in their cognition of the external world and in judging between safe/not safe. Research into drivers' behavior and active safety has advanced with improvem...

the complexity of urban systems in our recent world, make it difficult to evaluation and explanation of their changes with traditional and customarily methods. in the past, remote sensing has shown an ability to detect and describe urban growth patterns at different spatial scales. with new remote sensing devices (e.g. ikonos), with innovative image processing techniques and with further develo...

As active microwave instruments become more advanced and the application of radar images more proliŽ c there is an ever present need for a wider audience to appreciate the workings and subtleties of radar remote sensing systems. Many problems associated with the use and interpretation of such data are a consequence of users failing to properly conceptualise the radar system and the manner in wh...

We present a novel approach of active object categorization based on an iterative Bayesian method using capacitive sensing during object manipulation. The approach uses a novel type of capacitive sensor, which can measure internal properties of materials that are inaccessible to vision or tactile sensing. The electrodes of this capacitive sensor are sufficiently flexible and thin to be attached...

Reliable detection of other radio systems is crucial for systems that share the same frequency band. In wireless communication channels, there is uncertainty in the received signal level due to multipath fading and shadowing. Cooperative sensing techniques in which radio stations share their sensing information can improve the detection probability of other systems. In this paper, a new coopera...

In autonomous navigation in intially unknown surroundings, localisation over extended periods requires the discovery and use of enduring landmarks which can be repeatedly referred to. Active vision is well-suited to (re-)finding such landmarks, its wide field of view permitting the same features to be viewed during large robot motions. This paper describes the implementation of a robot system, ...

Active learning deals with developing methods that select examples that may express data characteristics in a compact way. For remote sensing image segmentation, the selected samples are the most informative pixels in the image so that classifiers trained with reduced active datasets become faster and more robust. Strategies for intelligent sampling have been proposed with model-based heuristic...

Image registration is the process by which we determine a transformation that provides the most accurate match between two images. The search for the matching transformation can be automated with the use of a suitable metric, but it can be very time-consuming and tedious. In this paper, we introduce a registration algorithm that combines active contour segmentation together with mutual informat...

At high carriers, enabling low power wireless devices to use opportunistically the available spectrum requires an analog front-end that can sweep different bands quickly, since Nyquist sampling is prohibitively expensive. In this paper we propose a new framework that allows to optimize a sub-Nyquist sampling front-end to combine the benefits of optimum sequential sensing with those of compressi...