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

Anticlimax

陰郁

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

enormous

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

Atmosphere

ARM

同義聯(lián)想法

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.

不斷的變動

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

古文字學(xué)

DUST

莊嚴(yán)

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.