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Collision detection

term in computer science

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Record originEnglish Wikipedia
Text licenseCC BY-SA 4.0
Source revisionSep 20, 2026
Entity authorityQ1550329
Source-derived summary

Collision detection is the computational problem of detecting an intersection of two or more objects in virtual space. More precisely, it deals with the questions of if, when, and where two or more objects intersect. Collision detection is a classic problem of computational geometry with applications in computer graphics, physical simulation, video games, robotics (including autonomous driving), and computational physics. Collision detection algorithms can be divided into operating on 2D or 3D spatial objects.

Overview

Collision detection is closely linked to calculating the distance between objects, as objects collide when the distance between them is less than or equal to zero. Negative distances indicate that one object has penetrated another. Performing collision detection requires more context than just the distance between the objects.

Accurately identifying the points of contact on both objects' surfaces is also essential for computing a physically accurate collision response. The complexity of this task increases with the level of detail in the objects' representations: the more intricate the model, the greater the computational cost.

Collision detection frequently involves dynamic objects, adding a temporal dimension to distance calculations.

Editorial summary

This brief starts where responsible research should: with the source description of “Collision detection” as term in computer science. Everything that follows is an evidence route, not borrowed authority.

Editorial reviewA dependable orientation record for establishing vocabulary, names and a first evidence trail. The current 181-word lead offers orientation but no explicit four-digit date, so chronology should not be assumed. The selected authority fields contribute no independent date. The account is most persuasive where Collision, detection and term can be independently traced.
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Why this record matters

The subject matters to the general reference register because the source frames it as term in computer science. Its deeper value depends on whether names, dates, institutions and citations support that framing.

Evidence profile

The citation trail is more important than the brevity of the summary: it shows where individual claims can be examined in context. The source revision retrieved here is dated Sep 20, 2026. The linked authority identifier is Q1550329. The Library of Congress control number is sh2005008469. 1 of 1 selected statements include explicit references; 0 carry qualifiers and 0 use preferred rank.

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Source & attribution

This entry incorporates text from Collision detection” on English Wikipedia. Contributors are listed in the page history. Text is available under the Creative Commons Attribution-ShareAlike 4.0 License. Selected authority identifiers and statements are retrieved from Wikidata under CC0; their references and qualifiers remain part of the verification path.