Mapping based on a noisy range-only sensor

Authors:
F. Herranz;M. Ocañ/a;L. M. Bergasa;N. Hern$#225/ndez;A. Llamazares;C. Fern$#225/ndez
Affiliations:
Department of Electronics, University of Alcal$#225/, Madrid, Spain;Department of Electronics, University of Alcal$#225/, Madrid, Spain;Department of Electronics, University of Alcal$#225/, Madrid, Spain;Department of Electronics, University of Alcal$#225/, Madrid, Spain;Department of Electronics, University of Alcal$#225/, Madrid, Spain;Department of Electronics, University of Alcal$#225/, Madrid, Spain
Venue:
EUROCAST'11 Proceedings of the 13th international conference on Computer Aided Systems Theory - Volume Part II
Year:
2011

Citing 10
Cited 0

The active badge location system

ACM Transactions on Information Systems (TOIS)
The Cricket location-support system

MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
Robust Monte Carlo localization for mobile robots

Artificial Intelligence
Robotics-based location sensing using wireless ethernet

Proceedings of the 8th annual international conference on Mobile computing and networking
A Probabilistic Approach to Concurrent Mapping and Localization for Mobile Robots

Autonomous Robots
WLAN Location Determination via Clustering and Probability Distributions

PERCOM '03 Proceedings of the First IEEE International Conference on Pervasive Computing and Communications
Multi-Camera Multi-Person Tracking for EasyLiving

VS '00 Proceedings of the Third IEEE International Workshop on Visual Surveillance (VS'2000)
WiFi localization methods for autonomous robots

Robotica
Low level controller for a POMDP based on WiFi observations

Robotics and Autonomous Systems
Comparison of WiFi map construction methods for WiFi POMDP navigation systems

EUROCAST'07 Proceedings of the 11th international conference on Computer aided systems theory

Quantified Score

Hi-index	0.00

Visualization

Abstract

Mapping techniques based on Wireless Range-Only Sensors (WROS) consist of locating the beacons using measurements of distance only. In this work we use WROS working at 2.4GHz band (same as WiFi, Wireless Fidelity), which has the disadvantage of being affected by a high noise. The goal of this paper is to study a noisy range-only sensor and its application in the development of mapping systems. A particle filter is used in order to map the environment, this technique has been applied successfully with other technologies, like Ultra-Wide Band (UWB), but we demonstrate that even using a noisier sensor this technique can be applied correctly.