Landmark weights - an alternative to spatial distances in shortest route algorithms

IF 1.6 4区 心理学 Q3 PSYCHOLOGY, EXPERIMENTAL Spatial Cognition and Computation Pub Date : 2022-10-05 DOI:10.1080/13875868.2022.2130330
Eva Nuhn, S. Timpf
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引用次数: 6

Abstract

ABSTRACT Although numerous studies have shown that landmarks are important for navigation, almost all navigation systems implement a shortest-route algorithm without considering landmarks. Which options do we have to integrate landmarks into a route calculation? How would the resulting routes differ from shortest routes? We propose a weighting method for Dijkstra’s shortest route algorithm to generate “landmark routes” and compare them to their corresponding shortest routes. We show that the extra distance and time needed to walk the landmark routes is acceptable in most of the routes. The main contribution is a thorough discussion of the differences between the two types of routes. Since the results are promising, we discuss variations in computing the weights as well as recommend human subject tests.
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地标权重——最短路径算法中空间距离的替代方案
尽管大量研究表明地标对导航很重要,但几乎所有的导航系统都实现了不考虑地标的最短路径算法。我们有哪些选择将地标整合到路线计算中?由此产生的路线与最短的路线有何不同?我们提出了一种Dijkstra最短路径算法的加权方法来生成“地标路径”,并将它们与相应的最短路径进行比较。我们表明,在大多数路线中,步行标志性路线所需的额外距离和时间是可以接受的。主要的贡献是对两种路线之间的差异进行了深入的讨论。由于结果是有希望的,我们讨论了计算权重的变化以及推荐人体受试者测试。
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来源期刊
Spatial Cognition and Computation
Spatial Cognition and Computation PSYCHOLOGY, EXPERIMENTAL-
CiteScore
4.40
自引率
5.30%
发文量
10
期刊最新文献
In memoriam: Christian Freksa (1950-2020) Treat robots as humans? Perspective choice in human-human and human-robot spatial language interaction Direction information is more influential than distance information in memory for location relative to landmarks Task-dependent sketch maps Evidence for flexible navigation strategies during spatial learning involving path choices
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