Show me the way to Monte Carlo: density-based trajectory navigation
Show me the way to Monte Carlo: density-based trajectory navigation
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告诉我通往蒙特卡罗的路：基于密度的轨迹导航
DOI：
10.1145/1240624.1240812
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发表时间：
2007
期刊：
影响因子：
--
通讯作者：
R. Murray
中科院分区：
文献类型：
--
作者：
Steven Strachan;John Williamson;R. Murray
我们演示了在行人导航系统中使用不确定预测，该系统结合了全球定位系统数据、音乐播放器、惯性传感、磁方位数据和蒙特卡罗采样，用于密度跟踪任务，其中听众的音乐根据用户位置相对于目标密度的变化预测进行调制，在这种情况下是轨迹或路径。我们表明，该系统可以围绕用户不熟悉的设置轨迹或路径进行无眼导航，并证明该系统可以有效地用于不同的轨迹宽度和环境。
We demonstrate the use of uncertain prediction in asystem for pedestrian navigation via audio with a combination ofGlobal Positioning System data, a music player, inertial sensing,magnetic bearing data and Monte Carlo sampling for a densityfollowing task, where a listener's music is modulated according tothe changing predictions of user position with respect to a targetdensity, in this case a trajectory or path. We show that this system enables eyes-free navigation around set trajectories or paths unfamiliar to the user and demonstrate that the system may be used effectively for varying trajectory width and context.