New Findings in Visual Communication Described from Hunan University (Structure-prior Deep Neural Network for Lane Detection)

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New Findings in Visual Communication Described from Hunan University (Structure-prior Deep Neural Network for Lane Detection)

机译：新发现的视觉传达从湖南大学(Structure-prior深神经网络用于车道检测)

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By a News Reporter-Staff News Editor at Network Daily News – Research findings on Visual Communication are discussed in a new report. According to news reporting originating in Changsha, People’s Republic of China, by NewsRx journalists, research stated, “Lane detection is an important task of road environment perception for autonomous driving. Deep learning methods based on semantic segmentation have been successfully applied to lane detection, but they require considerable computational cost for high complexity.”

机译：由一个新闻记者在网络新闻编辑每日新闻,视觉上的研究成果在一份新的报告中讨论沟通。根据新闻报道源自长沙,中华人民共和国NewsRx记者,研究指出,“车道检测道路环境知觉的一个重要任务自主驾驶。基于语义分割成功应用于车道检测,但他们需要相当大的计算成本高复杂性。”

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《Network Daily News》 |2022年第4期|52-53|共2页
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正文语种英语
中图分类 TP-778;
关键词
Visual communication; Neural network; ChinanewsLanesNetworkAsia;

机译：视觉传达;神经;

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New Findings in Visual Communication Described from Hunan University (Structure-prior Deep Neural Network for Lane Detection)

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