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Published in 2022 at "International Journal of Geographical Information Science"
DOI: 10.1080/13658816.2022.2158190
Abstract: Abstract Complex traffic scenes are susceptible to the occlusion of moving targets and blurred target images, resulting in incomplete extraction of target trajectories within the field of view (FOV). To address this issue, we proposed…
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Keywords:
complete trajectory;
extraction;
traffic scenes;
moving targets ... See more keywords
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Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3068899
Abstract: Recently a large number of 3D object tracking methods have been extensively investigated and applied in a variety of applications using convolutional neural networks. Although most of them have made great progress in partial occlusion,…
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Keywords:
complex traffic;
object tracking;
traffic scenes;
tracking complex ... See more keywords
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Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2022.3177640
Abstract: Driver attention cues contribute to the following intended maneuver prediction and provide a risk indicator for the advanced driver-assistance systems in complex driving scenarios. The diverse traffic scenes result in a challenging task to predict…
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Keywords:
adaption;
traffic scenes;
driver attention;
prediction ... See more keywords
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Published in 2019 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2019/3679203
Abstract: The performance of convolutional neural network- (CNN-) based object detection has achieved incredible success. Howbeit, existing CNN-based algorithms suffer from a problem that small-scale objects are difficult to detect because it may have lost its…
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Keywords:
object detection;
traffic;
detection;
traffic scenes ... See more keywords