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Automated riving is becoming the focus of various research institutions and companies. In this context, road estimation is one of the most important tasks. Many works propose to realize this task by employing one or multiple of the following orthogonal information sources: road markings from optical lane recognition, leading vehicle, digital map. etc. Each of them has its own strength and drawbacks...
Pedestrian-to-vehicle communication is an effective method to reducing pedestrian accidents, but its performance is greatly degraded when many pedestrians contend to transmit frequently on the same channel. In this paper, we propose to solve this problem from three aspects, (i) defining accident models for intersections and straight roads where pedestrian accidents frequently occur, (ii) estimating...
This work presents an approach to minimize the problem of information overload in the context of the Command and Control. It proposes a strategy to correlate data from heterogeneous sources, considering a set of attributes that make possible to connect these data. Their correct correlation allows to achieve situational awareness and provide secure subsidies for decision making. For reach this goal,...
We aim through this work to investigate the optimal deployment of roadside units, the stationary component in the vehicular network, in order to improve the performance, the reliability and the connectivity of the network. RSUs have a critical role in safety applications but also in infotainment applications. Hence, spreading RSUs should pay attention to cover with its best effort the dark zones and...
In the paper, a vehicle network dynamic trust model will be come true. And a trust value evaluation method, which integrates many factors, is designed. Through the vehicle network, the model could expand road conditions with trust values to vehicle terminals in certain scope. Through this drivers could choose other ways before entering blocked ways. The experiment proved that this model can effectively...
Speed limit information systems solely based on one modality can hardly overcome their respective intrinsic disadvantages: Digital maps lack support for short-term changes brought by variable message signs and road works, while camera based systems cannot recognize implicit speed limits and may fail in adverse lighting scenarios. In this work we show a fusion approach that is able to overcome these...
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