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INDOOR NAVIGATION PERFORMANCE ANALYSIS 1. Context of indoor navigation The objective of this research is to define and to implement a dedicated data model for indoor applications. Based on this specific model, route guidance and navigation algorithms ca ...
A displacement of a pedestrian is determined from his or her accelerations by detecting accelerations which is substantially non vertical, determining a characteristic feature in the detected accelerations correlated with a step frequency, determining the ...
We study spatial learning and navigation for autonomous agents. A state space representation is constructed by unsupervised Hebbian learning during exploration. As a result of learning, a representation of the continuous two-dimensional (2-D) manifold in t ...
Institute of Electrical and Electronics Engineers2004
In this paper, we present the development and the implementation of algorithms to access map databases by a user equipped with a pedestrian navigation system. ...
Speech-based command interfaces are becoming more and more common in cars. Applications include automatic dialog systems for hands-free phone calls as well as more advanced features such as navigation systems. However, interferences, such as speech from th ...
Several studies in rats support the idea of multiple neural systems competing to select the best action for reaching a goal or food location. Locale navigation strategies, necessary for reaching invisible goals, seem to be mediated by the hippocampus and t ...
In this paper we present a navigation method for mobile robots in partially known indoor environments based on integration of graph based search algorithms and dynamic window local obstacle avoidance method. With the attention on a dynamic environment thre ...
Context of indoor navigation The objective of this research is to define and to implement a dedicated data model for indoor applications. Based on this specific model, route guidance and navigation algorithms can be integrated in order to develop applic ...
Many algorithms related to localization need good pose prediction in order to produce accurate results. This is especially the case for data association algorithms, where false feature matches can lead to the localization system failure. In rough terrain, ...
The E-star algorithm is a path planning method capable of dynamic replanning and user-configurable path cost interpolation. It calculates a navigation function as a sampling of an underlying smooth goal distance that takes into account a continuous notion ...