There is an increasing demand for supporting high-quality real-time audiovisual services for the next generation wired and wireless networks. However, due to variety of bandwidths of different networks, it is a great ...There is an increasing demand for supporting high-quality real-time audiovisual services for the next generation wired and wireless networks. However, due to variety of bandwidths of different networks, it is a great challenge for deployment. In this paper, a novel high-definition (HD) video transmission system was proposed which depends upon reliable compound multicast protocols and QoS control over the various kinds of networks. This system detects client's network condition and assigns it to a proper proxy. Each proxy is capable of detecting network parameters and adaptively tuning such transport parameters as bit rate, video resolution, frame rate and QoS mechanisms to this condition. It also provides FEC error recovery under consideration of characteristics of MPEG4 video codec. Our simulation demonstrates that different network clients such as ADSL, CERNET, and CERNET2 can receive more video reliability with less delay.展开更多
目的探究踝关节跖背屈疲劳任务中高精度经颅直流电刺激(high-definition transcranial direct current stimulation,HD-tDCS)对H-反射和M-波的调控效果,为HD-tDCS减轻神经肌肉疲劳的实际应用提供方向。方法招募20名健康青年男性受试者,...目的探究踝关节跖背屈疲劳任务中高精度经颅直流电刺激(high-definition transcranial direct current stimulation,HD-tDCS)对H-反射和M-波的调控效果,为HD-tDCS减轻神经肌肉疲劳的实际应用提供方向。方法招募20名健康青年男性受试者,随机分为真刺激组和假刺激组各10名。对受试者采取连续5 d的单盲HD-tDCS干预(时间20 min;强度2 mA;靶点Cz),干预前1天采集受试者安静条件下的H-反射和M-波,跖屈肌最大自主收缩(maximal voluntary isometric contraction,MVIC)时的M-波,跖屈肌和背屈肌MVIC力矩,并进行一次踝关节跖背屈运动性疲劳任务,以确定受试者达到该任务疲劳的时间。干预后1天进行与第1次疲劳任务相同的运动时间,并进行后测的数据采集。采用重复测量双因素(刺激方案×疲劳前后)方差分析其自变量对受试者肌肉力学特性、α运动神经元传导特性各指标的影响。结果相较于疲劳前,两组疲劳后的自主激活值(voluntary activation,VA)、H-反射最大值(maximal H-reflex,H_(max))、M-波最大值(maximal M-wave,Mmax)、跖屈肌和背屈肌MVIC力矩均显著降低(P<0.05),但相比于真刺激组,假刺激组的VA和背屈肌MVIC力矩下降更为显著(P<0.05)。结论连续5 d的HD-tDCS干预有助于提高脊髓节段α运动神经元的活性,且能抑制跖背屈疲劳诱发的外周“神经-肌肉”接头处信息传递能力的下降。展开更多
为提高高精度道路地图的制作效率,提出采用融合多源数据的方式构建高精度地图。根据道路特征及类型,选用车载激光雷达(Light Detection and Ranging,LiDAR)、无人机摄影测量以及人工采集3种技术获取数据源,分别进行点云、图像以及矢量...为提高高精度道路地图的制作效率,提出采用融合多源数据的方式构建高精度地图。根据道路特征及类型,选用车载激光雷达(Light Detection and Ranging,LiDAR)、无人机摄影测量以及人工采集3种技术获取数据源,分别进行点云、图像以及矢量数据处理,构建高精度道路地图并进行精度评定。试验结果表明,多源数据可实现不同道路场景下的数据采集,为高精度地图快速构建和更新提供参考。展开更多
自动驾驶对地图提出的高精度、高鲜度、高覆盖等要求,现阶段难以同时满足,本文针对高、低精度数据空间位置差异但特征相似度极高的特点,提出了一种将低精度观测信息转化为高精地图要素置信度的方法,在不改变高精地图更新频率的前提下,...自动驾驶对地图提出的高精度、高鲜度、高覆盖等要求,现阶段难以同时满足,本文针对高、低精度数据空间位置差异但特征相似度极高的特点,提出了一种将低精度观测信息转化为高精地图要素置信度的方法,在不改变高精地图更新频率的前提下,完善地图安全策略。该方法采用矩形邻域二级匹配原理和匹配度测量模型,缩小匹配范围和量化匹配度,从而准确匹配目标;再根据特征向量分析,判断目标要素当前状态;采用计分规则将状态转化为地图要素置信度得分。该方法运用在多省高快速高精地图置信度更新试验中,仅用普通行车记录仪图片提供的观测信息,即可更新HD地图限速标牌存在置信度,还验证了由新的观测触发和由底图更新触发两种置信度更新模式。试验结果表明,观测冗余度和置信度保持率呈正相关,当观测冗余度约为15时,可达到60 d 80%以上目标要素保持高置信,且准确率超过96%。本文方法为高精地图鲜度与安全冲突提供了一种行之有效的解决方案,可促进高精地图安全应用策略进一步深化。展开更多
文摘There is an increasing demand for supporting high-quality real-time audiovisual services for the next generation wired and wireless networks. However, due to variety of bandwidths of different networks, it is a great challenge for deployment. In this paper, a novel high-definition (HD) video transmission system was proposed which depends upon reliable compound multicast protocols and QoS control over the various kinds of networks. This system detects client's network condition and assigns it to a proper proxy. Each proxy is capable of detecting network parameters and adaptively tuning such transport parameters as bit rate, video resolution, frame rate and QoS mechanisms to this condition. It also provides FEC error recovery under consideration of characteristics of MPEG4 video codec. Our simulation demonstrates that different network clients such as ADSL, CERNET, and CERNET2 can receive more video reliability with less delay.
文摘为提高高精度道路地图的制作效率,提出采用融合多源数据的方式构建高精度地图。根据道路特征及类型,选用车载激光雷达(Light Detection and Ranging,LiDAR)、无人机摄影测量以及人工采集3种技术获取数据源,分别进行点云、图像以及矢量数据处理,构建高精度道路地图并进行精度评定。试验结果表明,多源数据可实现不同道路场景下的数据采集,为高精度地图快速构建和更新提供参考。
文摘自动驾驶对地图提出的高精度、高鲜度、高覆盖等要求,现阶段难以同时满足,本文针对高、低精度数据空间位置差异但特征相似度极高的特点,提出了一种将低精度观测信息转化为高精地图要素置信度的方法,在不改变高精地图更新频率的前提下,完善地图安全策略。该方法采用矩形邻域二级匹配原理和匹配度测量模型,缩小匹配范围和量化匹配度,从而准确匹配目标;再根据特征向量分析,判断目标要素当前状态;采用计分规则将状态转化为地图要素置信度得分。该方法运用在多省高快速高精地图置信度更新试验中,仅用普通行车记录仪图片提供的观测信息,即可更新HD地图限速标牌存在置信度,还验证了由新的观测触发和由底图更新触发两种置信度更新模式。试验结果表明,观测冗余度和置信度保持率呈正相关,当观测冗余度约为15时,可达到60 d 80%以上目标要素保持高置信,且准确率超过96%。本文方法为高精地图鲜度与安全冲突提供了一种行之有效的解决方案,可促进高精地图安全应用策略进一步深化。
