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A desire path, often referred to as a desire line in transportation planning and also known by various other names, [a] is an unplanned small trail created as a consequence of mechanical erosion caused by human or animal traffic. The path usually represents the shortest or the most easily navigated route between an origin and destination, and ...
A desire line is a synonym to "desire path", a path created by erosion caused by human or animal foot traffic. Desire line or Desire Lines may also refer to:
Goat Path may refer to: Pennsylvania Route 23; Desire path This page was last edited on 17 November 2019, at 05:19 (UTC). Text is available under the Creative Commons ...
Firefox 3.0 menu with shortcuts, highlighted with green and mnemonics highlighted with yellow. Composite of two Macintosh Finder menus with keyboard shortcuts specified in the right column. In computing, a keyboard shortcut (also hotkey/hot key or key binding) [1] is a software-based
How is a desire path different from a path?Autarch 14:37, 3 December 2009 (UTC) Fro what I understand, a desire path is a subset of path where paths can be designed or naturally occurring. Desire paths are the latter. --Jason Yip 01:28, 10 May 2010 (UTC) I think the term desire path refers to the erosion caused by human feet. Hence, an ...
The path of least resistance is the physical or metaphorical pathway that provides the least resistance to forward motion by a given object or entity, among a set of alternative paths. The concept is often used to describe why an object or entity takes a given path. The way in which water flows is often given as an example for the idea.
Anything inside the path will be included after the clipping path is applied; anything outside the path will be omitted from the output. Applying the clipping path results in a hard (aliased) or soft (anti-aliased) edge, depending on the image editor's capabilities. Clipping path. By convention, the inside of the path is defined by its direction.
Real-Time Path Planning is a term used in robotics that consists of motion planning methods that can adapt to real time changes in the environment. This includes everything from primitive algorithms that stop a robot when it approaches an obstacle to more complex algorithms that continuously takes in information from the surroundings and creates a plan to avoid obstacles.