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—Disruptive technologies have the potential to change markets dramatically. The switch from internal combustion engines to electrical engines is such a change. But electric engines for vehicles are only the catalyst for the real change. Most significantly, the architecture and role of information and communication technology (ICT) will change for the(More)
This paper describes a robust approach which improves the precision of vehicle localization in complex urban environments by fusing data from GPS, gyroscope and velocity sensors. In this method, we apply Kalman filter to estimate the position of the vehicle. Compared with other fusion based localization approaches, we process the data in a public coordinate(More)
Odometry is important for autonomous vehicle in scenarios where GPS is either unavailable or only intermittently available. However, in a large scale environment, it often generalizes unbounded cumulative error when the vehicle unconsciously moves. This paper analyzes how the cumulative error grows according to the noisy relative measurements. An unbounded(More)
Recent developments in centralized ICT architectures have realized the abstraction of hardware and communications functionality into software within for of highly assisted and autonomous vehicles. This development requires a data-centric approach to the integration and fusion of sensory information within the vehicle. We address this requirement through(More)
Methods of monitoring of estrogenicity in water were gathered, compared, and tested within the context of their practical use as measurement and design tools, in the development of a process of degradation of estrogenic endocrine disruptors. In this work, the focus was put on in vitro assays, with the use of analytical techniques as additional analysis when(More)
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