Anticlimax
发表于 2025-3-25 05:42:25
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阴郁
发表于 2025-3-25 11:03:54
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
发表于 2025-3-25 12:16:40
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
发表于 2025-3-25 16:48:54
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ARM
发表于 2025-3-25 22:59:51
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同义联想法
发表于 2025-3-26 02:41:51
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.
不断的变动
发表于 2025-3-26 04:45:08
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
古文字学
发表于 2025-3-26 09:39:29
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DUST
发表于 2025-3-26 13:53:16
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庄严
发表于 2025-3-26 19:02:26
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.