2018
DOI: 10.1109/thms.2018.2834871
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Effects of Preview Time in Manual Tracking Tasks

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Cited by 22 publications
(28 citation statements)
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References 26 publications
(83 reference statements)
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“…The following prefilter dynamics are consistent with the estimated FRFs in Fig. 5, and are identical to the preview model of [29], [30]: (10) with K f the scaling gain, T l,f the low-pass (smoothing) filter time-constant, 1 and τ f the look-ahead time.…”
Section: ) Preview Response Dynamicssupporting
confidence: 70%
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“…The following prefilter dynamics are consistent with the estimated FRFs in Fig. 5, and are identical to the preview model of [29], [30]: (10) with K f the scaling gain, T l,f the low-pass (smoothing) filter time-constant, 1 and τ f the look-ahead time.…”
Section: ) Preview Response Dynamicssupporting
confidence: 70%
“…For example, the response time delay τ e is between 0.3 and 0.4 s for all participants, while values between 0.25 and 0.6 s are typically reported in the literature [18], [26]. The farthest point of the previewed centerline trajectory that is used for control in winding road tasks, characterized by τ f , is on average positioned around 0.9 s ahead, comparable to preview tracking tasks [30], and almost identical to the position of the "far point" (0.93 s) measured 1 Alternatively, the observed high-frequency smoothing behavior can be modeled by taking the (weighed) average of two viewpoints, much like in recent two-point driver models [2], [22]. However, here, a low-pass filter is chosen because this captures the centerline smoothing behavior with a single parameter (T l,f ) and because the shape of the FRF phase in Fig.…”
Section: B Control-theoretic Model 1) Model Synthesismentioning
confidence: 69%
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