7 May 2010 Human leader and robot follower team: correcting leader's position from follower's heading
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Abstract
In multi-agent scenarios, there can be a disparity in the quality of position estimation amongst the various agents. Here, we consider the case of two agents - a leader and a follower - following the same path, in which the follower has a significantly better estimate of position and heading. This may be applicable to many situations, such as a robotic "mule" following a soldier. Another example is that of a convoy, in which only one vehicle (not necessarily the leading one) is instrumented with precision navigation instruments while all other vehicles use lower-precision instruments. We present an algorithm, called Follower-derived Heading Correction (FDHC), which substantially improves estimates of the leader's heading and, subsequently, position. Specifically, FHDC produces a very accurate estimate of heading errors caused by slow-changing errors (e.g., those caused by drift in gyros) of the leader's navigation system and corrects those errors.
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Johann Borenstein, Johann Borenstein, David Thomas, David Thomas, Brandon Sights, Brandon Sights, Lauro Ojeda, Lauro Ojeda, Peter Bankole, Peter Bankole, Donald Fellars, Donald Fellars, } "Human leader and robot follower team: correcting leader's position from follower's heading", Proc. SPIE 7692, Unmanned Systems Technology XII, 76921E (7 May 2010); doi: 10.1117/12.850422; https://doi.org/10.1117/12.850422
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