Efficient Distance Computation Algorithm between Nearly Intersected Objects Using Dynamic Pivot Point in Virtual Environment Application
Hamzah Asyrani Sulaiman, Abdullah Bade, Mohd Harun Abdullah

TL;DR
This paper introduces a dynamic pivot point method to efficiently compute distances between nearly intersecting 3D objects, improving collision detection speed in virtual simulations.
Contribution
The paper presents a novel approach using dynamic pivot points and axis-aligned bounding boxes to reduce search complexity in narrow phase collision detection.
Findings
Faster distance computation compared to previous methods
Reduces unnecessary calculations in collision detection
Enhances real-time collision handling in virtual environments
Abstract
Finding nearly accurate distance between two or more nearly intersecting three-dimensional (3D) objects is vital especially for collision determination such as in virtual surgeon simulation and real-time car crash simulation. Instead of performing broad phase collision detection, we need to check for accuracy of detection by running narrow phase collision detection. One of the important elements for narrow phase collision detection is to determine the precise distance between two or more nearly intersecting objects or polygons in order to prepare the area for potential colliding. Distance computation plays important roles in determine the exact point of contact between two or more nearly intersecting polygons where the preparation for collision detection is determined at the earlier stage. In this paper, we describes our current works of determining the distance between objects using…
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Taxonomy
TopicsRobotic Path Planning Algorithms · Robotics and Sensor-Based Localization · Autonomous Vehicle Technology and Safety
