Echolocating bats can make nocturnal flights in acoustically cluttered environments with the use of echolocation. Their ability to evaluate targets in complete darkness provides mobile robots an opportunity to learn target detection, classification and identification with similar biomimetic platforms. In this work, natural landmark classification with a binaural system, a sequential sensing strategy and a frequency after reconstruction algorithm were developed and tested. The aim of the work is to overcome some inherent shortcomings of airborne sonar and take advantage of bats' perceived properties for mobile robots' navigation in natural environments. Experimental results suggest considerable improvements in classification accuracy can be achieved by the use of this sequential classification method.
@inproceedings{2005_261,
author = {Wang, Maosen and Zell, Andreas},
title = {{Sequential sensing with Biosonar for natural landmark classification}},
booktitle = {Safety, Security and Rescue Robotics, Workshop, 2005 IEEE International},
year = {2005},
pages = {137--142},
address = {Kobe, Japan},
month = jun,
publisher = {IEEE Press},
abstract = {Echolocating bats can make nocturnal flights in acoustically cluttered
environments with the use of echolocation. Their ability to evaluate
targets in complete darkness provides mobile robots an opportunity
to learn target detection, classification and identification with
similar biomimetic platforms. In this work, natural landmark classification
with a binaural system, a sequential sensing strategy and a frequency
after reconstruction algorithm were developed and tested. The aim
of the work is to overcome some inherent shortcomings of airborne
sonar and take advantage of bats' perceived properties for mobile
robots' navigation in natural environments. Experimental results
suggest considerable improvements in classification accuracy can
be achieved by the use of this sequential classification method.},
doi = {10.1109/SSRR.2005.1501230},
isbn = {0-7803-8945-x},
keywords = {mobile robots, mobile robots, navigation, remote sensing, signal reconstruction,
sonar detection},
pdf = {http://www.cogsys.cs.uni-tuebingen.de/publikationen/2005/wang_1006.pdf},
url = {http://dx.doi.org/10.1109/SSRR.2005.1501230}
}