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Titlebook: Computer Aided Systems Theory – EUROCAST 2019; 17th International C Roberto Moreno-Díaz,Franz Pichler,Alexis Quesada-A Conference proceedin

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Convolutional Gated Recurrent Units for Obstacle Segmentation in Bird-Eye-Viewobstacles all the points that lie outside this model according to a threshold. Manually setting this threshold and adapting the model to the various scenarios is not ideal, whereas a machine learning approach is more suitable for this kind of task. In this work we present an application of Convoluti
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Lane Detection and Classification Using Cascaded CNNsside the street, or to integrate GPS-based localization. As many other computer vision based tasks, convolutional neural networks (CNNs) represent the state-of-the-art technology to indentify lane boundaries. However, the position of the lane boundaries w.r.t. the vehicle may not suffice for a relia
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Analysis on Pedestrian Green Time Period: Preliminary Findings from a Case Studymulation based study that is calibrated with the field data collected. We propose a frame for the signal controllers in an adaptive fashion. Result from micro-simulation strengthens the finding that a trade-off between the pedestrian travel times and vehicles’ delays has to be made.
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Intelligent Longitudinal Merging Maneuver at Roundabouts Based on Hybrid Planning Approachal problems related to its entrance. In this way, the article presents a method to solve the roundabout merging combining a nominal trajectory generated with Bézier curves with a Model Predictive Control (MPC) to assure safe maneuvers. Simulation results using Dynacar are shown and the good performa
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Enhanced Transform-Domain LMS Based Self-interference Cancellation in LTE Carrier Aggregation Transcon (LTE) signals. This work derives and analyzes a new form of the Least-Mean-Squares (LMS) algorithm that incorporates knowledge of the signal statistics. Simulations show that the presented algorithm can effectively improve the cancellation and adaptation performance for real world interference scenarios.
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