Connectivity Modeling and Analysis for Internet of Vehicles in Urban Road Scene
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DOI: 10.1109/access.2017.2784845
Abstract: The connectivity of a large-scale heterogeneous Internet of Vehicles (IoV) is an important challenge for the environment of urban road scenes, which feature crossroads, buildings, and communication devices. The uneven density and wide distribution of… read more here.
Keywords: urban road; connectivity; road scene; internet vehicles ... See more keywords
Road Scene Segmentation Based on Deep Learning
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DOI: 10.1109/access.2020.3009782
Abstract: Recently, autonomous driving becomes a hot topic in research and industry area. Autonomous driving technology needs to perceive the semantic information of road scenes in the all-day and open environment. In this article, the semantic… read more here.
Keywords: road scene; road; deep learning; road scenes ... See more keywords
NIGAN: A Framework for Mountain Road Extraction Integrating Remote Sensing Road-Scene Neighborhood Probability Enhancements and Improved Conditional Generative Adversarial Network
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3188908
Abstract: Mountain roads are a source of important basic geographic data used in various fields. The automatic extraction of road images through high-resolution remote sensing imagery using deep learning has attracted considerable attention. But the interference… read more here.
Keywords: road; road scene; remote sensing; mountain road ... See more keywords
Nighttime Road Scene Parsing by Unsupervised Domain Adaptation
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DOI: 10.1109/tits.2020.3033569
Abstract: Due to recent advances in learning-based semantic segmentation, road scene parsing can usually achieve satisfactory results under normal illumination conditions. However, training a robust model for parsing nighttime road scenes is still very challenging, especially… read more here.
Keywords: segmentation; scene parsing; nighttime road; road ... See more keywords
FRNet: Factorized and Regular Blocks Network for Semantic Segmentation in Road Scene
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DOI: 10.1109/tits.2020.3037727
Abstract: Nowadays, semantic segmentation methods for systems in road scene have a great demand. Most existing methods focus on high accuracy with low inference speed. And some approaches emphasize on speed, significantly sacrificing model accuracy. To… read more here.
Keywords: network; road scene; network semantic; factorized regular ... See more keywords
Detection of Targets in Road Scene Images Enhanced Using Conditional GAN-Based Dehazing Model
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DOI: 10.3390/app13095326
Abstract: Object detection is a classic image processing problem. For instance, in autonomous driving applications, targets such as cars and pedestrians are detected in the road scene video. Many image-based object detection methods utilizing hand-crafted features… read more here.
Keywords: dehazing model; road scene; detection; images enhanced ... See more keywords