Title :
Conflict Metric as a Measure of Sensing Quality
Author :
Carlson, Jennifer ; Murphy, Robin R. ; Christopher, Svetlana ; Casper, Jennifer
Author_Institution :
Center for Robot-Assisted Search and Rescue University of South Florida Tampa, FL
Abstract :
This paper shows that the Con metric from Dempster-Shafer theory is a good indicator of sensing quality, where an increase in the conflict metric value correlates with a decrease in map quality (at p ≤ 0.05). Two sets of experiments were conducted. In one, sonar data were gathered from a Nomad 200 robot operating in typical indoor hallways. Another used sonars on an RWI Urban robot in a confined, irregular tunnel built from eight different construction materials. For each set, an occupancy grid map was built and evaluated through a quantitative comparison with the ground truth. It is expected that the results of this study will generalize not only to other sensors and multi-sensor fusion, but any application where consistency can be assumed. It also contributes a design for an inexpensive reconfigurable confined space testbed.
Keywords :
Dempster-Shafer theory; evidential reasoning; mobile robotics; sensor uncertainty; unknown environment mapping; Bayesian methods; Degradation; Mobile robots; Orbital robotics; Robot sensing systems; Sensor fusion; Sensor phenomena and characterization; Simultaneous localization and mapping; Sonar detection; Sonar measurements; Dempster-Shafer theory; evidential reasoning; mobile robotics; sensor uncertainty; unknown environment mapping;
Conference_Titel :
Robotics and Automation, 2005. ICRA 2005. Proceedings of the 2005 IEEE International Conference on
Print_ISBN :
0-7803-8914-X
DOI :
10.1109/ROBOT.2005.1570412