The Robotics Institute

Carnegie Mellon Robotics Institute

Copyright notice: This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.

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.

Notes

Text Reference

Ian Davis and Anthony (Tony) Stentz, "Sensor fusion for autonomous outdoor navigation using neural networks," Proceedings 1995 IEEE/RSJ International Conference On Intelligent Robotic Systems (IROS '95), August, 1995, pp. 338 - 343.

BibTeX Reference

@inproceedings{Davis_1995_3619,
   author = "Ian Davis and Anthony (Tony) Stentz",
   title = "Sensor fusion for autonomous outdoor navigation using neural networks",
   booktitle = "Proceedings 1995 IEEE/RSJ International Conference On Intelligent Robotic Systems (IROS '95)",
   pages = "338 - 343",
   month = "August",
   year = "1995",
   volume = "3",
}

The Robotics Institute

Menu