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Cited by 514

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Robust range estimation using acoustic and multimodal sensing

Girod, L., Estrin, D.·2002·Proceedings 2001 IEEE/RSJ International Conference on Intelligent Robots and Systems. Expanding the Societal Role of Robotics in the the Next Millennium (Cat. No.01CH37180)

Abstract

Many applications of robotics and embedded sensor technology can benefit from fine-grained localization. Fine-grained localization can simplify multi-robot collaboration, enable energy efficient multi-hop routing for low-power radio networks, and enable automatic calibration of distributed sensing systems. We focus on range estimation, a critical prerequisite for fine-grained localization. While many mechanisms for range estimation exist, any individual mode of sensing can be blocked or confused by the environment. We present and analyze an acoustic ranging system that performs well in the presence of many types of interference, but can return incorrect measurements in non-line-of-sight conditions. We then suggest how evidence from an orthogonal sensory channel might be used to detect and eliminate these measurements. The work illustrates the more general research theme of combining multiple modalities to obtain robust results.

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Metadata

Authors
Girod, L., & Estrin, D.
Venue
Proceedings 2001 IEEE/RSJ International Conference on Intelligent Robots and Systems. Expanding the Societal Role of Robotics in the the Next Millennium (Cat. No.01CH37180)
Publisher
IEEE
Published
2002-11-13
Volume
3
Pages
1312-1320
OpenAlex
W1584920463
Cited by
514
References
2
FWCI
34.54
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Robust range estimation using acoustic and multimodal sensing. https://app.cochat.ai/papers/10.1109/iros.2001.977164
The paper
Girod, L., & Estrin, D. (2002). Robust range estimation using acoustic and multimodal sensing. Proceedings 2001 IEEE/RSJ International Conference on Intelligent Robots and Systems. Expanding the Societal Role of Robotics in the the Next Millennium (Cat. No.01CH37180). https://doi.org/10.1109/iros.2001.977164

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