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Sensor fusion for autonomous outdoor navigation using neural networks

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2 Author(s)
I. L. Davis ; Robotics Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA ; A. Stentz

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

Published in:

Intelligent Robots and Systems 95. 'Human Robot Interaction and Cooperative Robots', Proceedings. 1995 IEEE/RSJ International Conference on  (Volume:3 )

Date of Conference:

5-9 Aug 1995