Para compreender a fluidez: os grandes sistemas de movimento viário em Natal/RN

The speed and fluidity are basic requirements for reproduction of big capitalism. Thus, the objects and their actions seek to meet these aspirations of hegemony. And among these objects, there is emphasis on the road systems of movement, made up of bridges, viaducts and tunnels, engineering works that cater to this nee increasingly evident in the current period technical-scientific-informational. So on this premise, it becomes apparent that these objects reflect the technical So on this premise, it becomes apparent that these objects reflect the technical space constitution of Natal, capital of Rio Grande do Norte, where the road systems of movement help to understand the process of fragmentation and and spatial segregation of Natal, accelerated in the late twentieth century. Using the analysis as a tool for urban legislation developed in the capital of RN by the municipal administration, this paper seeks to understand, through a matrix of periodization, as these systems move natalense shaped space and which exists for the hegemonic logic limit the formation and location of each of these systems move road, particularly as it concerns the relationship between these and the expansion of opportunities for certain fluidity between the road systems of movement (fixed), their flow

Odometria visual baseada em técnicas de structure from motion

Visual Odometry is the process that estimates camera position and orientation based solely on images and in features (projections of visual landmarks present in the scene) extraced from them. With the increasing advance of Computer Vision algorithms and computer processing power, the subarea known as Structure from Motion (SFM) started to supply mathematical tools composing localization systems for robotics and Augmented Reality applications, in contrast with its initial purpose of being used in inherently offline solutions aiming 3D reconstruction and image based modelling. In that way, this work proposes a pipeline to obtain relative position featuring a previously calibrated camera as positional sensor and based entirely on models and algorithms from SFM. Techniques usually applied in camera localization systems such as Kalman filters and particle filters are not used, making unnecessary additional information like probabilistic models for camera state transition. Experiments assessing both 3D reconstruction quality and camera position estimated by the system were performed, in which image sequences captured in reallistic scenarios were processed and compared to localization data gathered from a mobile robotic platform