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- ArticleJune 2012
Multi-Cue Based Place Learning for Mobile Robot Navigation
Place recognition is important navigation ability for autonomous navigation of mobile robots. Visual cues extracted from images provide a way to represent and recognize visited places. In this article, a multi-cue based place learning algorithm is ...
- research-articleJune 2011
FindingMiMo: tracing a missing mobile phone using daily observations
MobiSys '11: Proceedings of the 9th international conference on Mobile systems, applications, and servicesPages 29–42https://doi.org/10.1145/1999995.1999999With the widespread use of smartphones, the loss of a device is critical, both in disrupting daily communications, and in losing valuable property. When a mobile device is missing, localization techniques may assist in finding the device. Current ...
- research-articleSeptember 2009
Discovering semantically meaningful places from pervasive RF-beacons
UbiComp '09: Proceedings of the 11th international conference on Ubiquitous computingPages 21–30https://doi.org/10.1145/1620545.1620549Detecting visits to semantically meaningful places is important for many emerging mobile applications. We present PlaceSense, a place discovery algorithm suitable for mobile devices that exploits pervasive RF-beacons. By relying on separate mechanisms ...
- articleMay 2001
Place learning in humans: The role of distance and direction information
Spatial Cognition and Computation (KLU-SCAN), Volume 2, Issue 4Pages 333–354https://doi.org/10.1023/A:1015514424931Although the process of establishing a memory of a location is necessary for navigation, relatively little is known about the information that humans use when forming place memories. We examined the relative importance of distance and angular information ...
- articleJuly 1999
Navigating with a Focus-Directed Mapping Network
This paper considers the problem of environment-mapping for autonomous mobile agents. Central to this problem is how the structure of the external environment can be captured and represented so that an agent is able to autonomously navigate in a robust ...