Traffic signal controlTraffic predictionTraffic world modelReinforcement learningTraffic signal control is shifting from passive control to proactive control, which enables the controller to direct current traffic flow to reach its expected destinations. To this end, an effective prediction model is needed ...
Automated Vehicle Identification System based on Discrete Curvelet Transform for Visual Surveillance and Traffic Monitoring System Signal & Image Processing : An International Journal (SIPIJ) Vol.6, No.5, October 2015 NG Chitaliya,AI Trivedi - 《International Journal of Computer Applications》 被引量...
Nowadays traffic congestion is a serious issue associated with transportation, the backbone of the economy of a city. Because of the rise in population and... A Mohanty,SK Mohanty,J Kumar - Advances in Electrical Control & Signal System 被引量: 0发表: 2019年 加载更多研究点推荐 Traffic Densit...
Nowadays traffic problem are increasing because of the increasing number of vehicles and the limited resources provided by the current infrastructures. Due to this, there is a need to wait long time in front of the signals. This leads to wastage of time. The basic mode of transportation for ...
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The images of outdoor scenes obtained in haze, fog and other weather days are usually have poor contrast and color fidelity. In this paper, in order to effectively improve the degraded image in haze quality, reduce the effect of the haze to outdoor traffic video monitoring systems, we analyz...
网络交通图像 网络释义 1. 交通图像 交通标志图像,traffic sign... ... ) traffic sign image 交通标志图像 )traffic image交通图像) traffic signs 交通标志牌 ... www.dictall.com|基于2个网页 释义: 全部,交通图像
the kind of deformation to be enhanced.;SOLUTION: An image processing circuit outputs deformed image data obtained by deforming an inputted image data, where each pixel data of the deformed image data are identical to some of the pixel data of the inputted image data, from an image memory 3...
The increasing attacks on traffic signals worldwide indicate the importance of intrusion detection. The existing traffic signal Intrusion Detection Systems... A Chowdhury,G Karmakar,RNSHS Kamruzzaman - 《Sensors》 被引量: 0发表: 2023年 Robust and Discriminative Feature Learning via Mutual Information...
Due to excellent self-learning ability, deep convolutional neural networks (CNNs) are successfully employed in the field of single image super-resolution (... Z Fu,N Cai,G Cen,... - 《Signal Processing Image Communication》 被引量: 4发表: 2018年 A multi-scale multi-model deep neural netw...