How to Accurately Determine the Position on a Known Course in Road Cycling
How to Accurately Determine the Position on a Known Course in Road Cycling
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如何准确确定公路自行车已知路线上的位置
DOI：
10.1007/978-3-319-67846-7_11
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发表时间：
2017
期刊：
影响因子：
--
通讯作者：
Artiga Gonzalez
中科院分区：
文献类型：
--
作者：
Dobiasch;Artiga Gonzalez
有了现代的自行车电脑，就有可能在骑行过程中为骑行者提供复杂的反馈。如果反馈是依赖于路线的，则需要知道骑手在路线上的当前位置。比较了从普通GPS和速度传感器估计路线上位置的不同方法：从车轮的旋转次数得出的直接距离测量，投影到路线轨迹上的GPS坐标，以及将速度和GPS测量值结合在一起的卡尔曼滤波器。为了量化不同方法的准确性，在赛道上进行了一项实验，在骑行过程中标记了赛道上的固定点。卡尔曼滤波方法能够克服其他两种方法的某些缺点，并实现了平均误差和均方根误差。
With modern cycling computers it is possible to provide cyclists with complex feedback during rides. If the feedback is course-dependent, it is necessary to know the riders current position on the course. Different approaches to estimate the position on the course from common GPS and speed sensors were compared: the direct distance measure derived from the number of rotations of the wheel, GPS coordinates projected onto the course trajectory, and a Kalman filter incorporating speed as well as GPS measurements. To quantify the accuracy of the different methods, an experiment was conducted on a race track where a fixed point on the course was tagged during the ride. The Kalman filter approach was able to overcome certain shortcomings of the other two approaches and achieved a mean error ofand a root mean square error of.
DOI：
--
发表时间：
1994
期刊：
--
影响因子：
--
作者：
G. Welch;G. Bishop
通讯作者：
G. Welch;G. Bishop
影响因子：
1.5
作者：
T. Yoshimura;H. Hasegawa
通讯作者：
H. Hasegawa