Sensor fusion for autonomous outdoor navigation using neural networks
Conference Paper, Proceedings of (IROS) IEEE/RSJ International Conference on Intelligent Robots and Systems, Vol. 3, pp. 338 - 343, August, 1995
Abstract
For many navigation tasks, a single sensing modality is sufficiently rich to accomplish the desired motion control goals; for practical autonomous outdoor navigation, a single sensing modality is a crippling limitation on what tasks can be undertaken. Using a neural network paradigm particularly well suited to sensor fusion the authors have successfully performed simulated and real-world navigation tasks that required the use of multiple sensing modalities.
BibTeX
@conference{Davis-1995-13960,author = {Ian Davis and Anthony (Tony) Stentz},
title = {Sensor fusion for autonomous outdoor navigation using neural networks},
booktitle = {Proceedings of (IROS) IEEE/RSJ International Conference on Intelligent Robots and Systems},
year = {1995},
month = {August},
volume = {3},
pages = {338 - 343},
}
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