In this paper, we propose an automatic method for generating roads based on a weighted anisotropic shortest path algorithm. Given an input scene, we automatically create a path connecting an initial and a final point. The trajectory of the road minimizes a cost function that takes into account the different parameters of the scene including the slope of the terrain, natural obstacles such as rivers, lakes, mountains and forests. The road is generated by excavating the terrain along the path and instantiating generic parameterized models.
International audienceAs synchronization preambles represent a great overhead on wireless data packets, it could be interesting to powerful them. Fine synchronization solves this problem by homogenizing clock drift values on network regions. When coupled with any clock bias consensus method (coarse synchronization), fine synchronization allows the setup of time-based medium multiplexing schemes (TDMA, Slotted-ALOHA, ...) . This paper deals with a lightweight method able to perform the computation of local clock drift corrections using simple interaction rules between neighbor nodes. The solution proposed in this work has the main advantage to be robust to measurement noise while having the technologically interesting ability to drive clock drifts towards an average consensus
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