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minimal Distance Constraint Model.
Hierarchical minimal distance as a performance metric and catastrophic parameters.
where is the minimal distance between two centroids (we choose ).
Hierarchical minimal distance as a performance metric and catastrophic parameters. .
This threshold is the minimal distance at which a subject can discriminate two distinct stimuli.
Also, in contrast to minimal distance, dynamic clearance can respond differently to different avoidance behaviors.
The offset curve shape is iteratively optimized while preserving minimal distance from the surface.
In general, the minimal distance is parametrized by α and so is the error performance.
In the end, the route with the minimal distance was chosen as the final trajectory.
The semi-Lagrangian approach searches through all possible characteristics for the one yielding the minimal distance.
The two main parameters of codes are their minimal distance and covering radius.
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