Building a Sonar Map in a Specular Environment Using a Single Mobile Sensor
IEEE Transactions on Pattern Analysis and Machine Intelligence
Mobile robot sonar for target localization and classification
International Journal of Robotics Research
Sensor Influence in the Performance of Simultaneous Mobile Robot Localization and Map Building
The Sixth International Symposium on Experimental Robotics VI
An Experimental and Theoretical Investigation into Simultaneous Localisation and Map Building
The Sixth International Symposium on Experimental Robotics VI
MonoSLAM: Real-Time Single Camera SLAM
IEEE Transactions on Pattern Analysis and Machine Intelligence
Single-anchor indoor localization using a switched-beam antenna
IEEE Communications Letters
Cognitive Radio Networks
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This paper presents a radio environment mapping method developed for use with ad-hoc wireless networks. Variations of the mapping algorithm were implemented in environment visualization office simulation platform developed in Matlab as a result of cooperation between Faculty of Electrical Engineering and Computing, University of Zagreb, Croatia, and Center for TeleInfrastruktur, University of Aalborg, Denmark. Mapping algorithm, theoretical background and variations, as well as the cooperative mapping scheme are described. Simulation results for environment mapping are given for several algorithm variations on the sample scenario with and without cooperative mapping protocols in order to optimize the algorithm. Mapping algorithm shows accurate results with 0.15 dB mean error and as low as 2.3 dB standard deviation. Cooperative mapping is shown to provide a clear advantage in both mapping speed and accuracy.