LibSL: Collision Detection of Small-sized Particles with Virtual Objects Based on Depth Buffer

2018 ◽  
Vol 9 (7) ◽  
pp. 305-310
Author(s):  
A. V. Maltsev ◽  
Keyword(s):  
Collision Detection ◽  
Virtual Objects ◽  
Depth Buffer

Collision Detection

2011 ◽  
pp. 36-67
Author(s):  
Gabriel Zachmann
Keyword(s):  
Virtual Reality ◽  
Real Time ◽  
Collision Detection ◽  
Serious Games ◽  
Medical Training ◽  
Virtual Assembly ◽  
Virtual Objects ◽  
Enabling Technologies ◽  
Assembly Simulation ◽  
Physically Based

Collision detection is one of the enabling technologies in many areas, such as virtual assembly simulation, physically-based simulation, serious games, and virtual-reality based medical training. This chapter will provide a number of techniques and algorithms that provide efficient, real-time collision detection for virtual objects. They are applicable to various kinds of objects and are easy to implement.

Collision Detection Based on SIMD Model

2014 ◽  
Vol 519-520 ◽  
pp. 833-837
Author(s):  
Hui Yan Qu ◽  
Wei Zhao
Keyword(s):  
Real Time ◽  
Virtual Environment ◽  
Collision Detection ◽  
Time Complexity ◽  
Reconstruction Algorithm ◽  
Detection Algorithm ◽  
Data Selection ◽  
Iterative Sequence ◽  
The Public ◽  
Virtual Objects

In order to solve the virtual objects intersect problem in virtual environment, real-time fast CD application must be used in virtual environment. Collision detection algorithm based on a SIMD parallel was proposed. For ordered lists we used methods for N processors to search ordered sequence simultaneously, to select a valid range through an iterative, to retain the public segment as an iterative sequence so that to complete the division of the interval and data selection. It can improve the reconstruction of the bounding box of the data selected when these two algorithms applied to the detection of the CD. Experimental results show that compared with the classical reconstruction algorithm, the proposed algorithm has better time complexity and improve the efficiency of the CD.

COLLISION DETECTION ISSUES FOR INTERACTION OF VIRTUAL OBJECTS

2017 ◽  
pp. 39-44
Author(s):  
A. I. Emelyanov ◽  
A. S. Klimenko ◽  
S. V. Klimenko ◽  
S. I. Rotkov
Keyword(s):  
Collision Detection ◽  
Virtual Objects

COLLISION DETECTION ISSUES FOR INTERACTION OF VIRTUAL OBJECTS (Continuation)

2017 ◽  
pp. 25-30
Author(s):  
A. I. Emelyanov ◽  
A. S. Klimenko ◽  
S. V. Klimenko ◽  
S. I. Rotkov
Keyword(s):  
Collision Detection ◽  
Virtual Objects

Optimization of Collision Detection in Surgical Simulations

2014 ◽  
Vol 64 (1) ◽  
pp. 34-39
Author(s):  
Dan Custură-Crăciun ◽  
Daniel Cochior ◽  
Corneliu Neagu
Keyword(s):  
Image Quality ◽  
Collision Detection ◽  
Medical Applications ◽  
Surgical Simulators ◽  
Virtual Objects ◽  
Calculation Process ◽  
Surgical Simulations ◽  
Mathematical Equations

Abstract Just like flight and spaceship simulators already represent a standard, we expect that soon enough, surgical simulators should become a standard in medical applications. A simulations quality is strongly related to the image quality as well as the degree of realism of the simulation. Increased quality requires increased resolution, increased representation speed but more important, a larger amount of mathematical equations. To make it possible, not only that we need more efficient computers, but especially more calculation process optimizations. A simulator executes one of the most complex sets of calculations each time it detects a contact between the virtual objects, therefore optimization of collision detection is fatal for the work-speed of a simulator and hence in its quality

Design of Virtual Objects for Exact Collision Detection in Virtual Reality Modeling of Manufacturing Processes

1998 ◽  
Author(s):  
Rade Tesic ◽  
Pat Banerjee
Keyword(s):  
Virtual Reality ◽  
Collision Detection ◽  
Near Miss ◽  
Manufacturing Processes ◽  
Interactive Simulation ◽  
Robotic Welding ◽  
Virtual Objects ◽  
Detection Algorithms ◽  
Surface Patches ◽  
Slow Progress

Abstract Collision detection becomes a key issue when we want to model interactions between general, nonconvex objects in virtual reality applications which arise in manufacturing process domain. Despite significant progress which has been made in developing efficient, exact collision detection algorithms for convex objects, limited and slow progress has been reported in developing collision detection algorithms for general, nonconvex objects. To narrow this gap we introduce a concept of virtual objects which extends applicability of exact collision detection algorithms to nonconvex objects. This paper presents a methodology to encapsulate into virtual objects the surface patches of interest for collision detection as well as the automatic procedures for creation of virtual objects and for partitioning them into convex pieces. The collision detection technique described in this paper is best suited for interactive simulation and animation applications where high accuracy of object contact modeling is required. Examples include virtual assembly; mobile robot simulation; and simulation of manufacturing processes where accurate modeling of near-miss detection is essential, e.g. robotic painting, robotic welding, and NC machining operations.

Application of Collision Detection in Visual Simulation System for Bridge Cranes

2013 ◽  
Vol 433-435 ◽  
pp. 924-927 ◽  
Author(s):  
Ming Xiao Dong ◽  
Meng Meng Lu ◽  
Rui Chuan Li ◽  
Jun Ru Tian ◽  
Ren Yu Luo ◽  
...  
Keyword(s):  
Collision Detection ◽  
Detection Method ◽  
Simulation System ◽  
Visual Simulation ◽  
Vector Method ◽  
Key Technology ◽  
Virtual Objects ◽  
Conditional Statements ◽  
Collision Target ◽  
Detection Principle

Collision detection is the key technology in the visual simulation system for bridge cranes. According to analyse the collision between hook and virtual objects in visual simulation system for bridge cranes, collision detection method of visual simulation system for bridge cranes is determined based on the collision detection principle. First of all, LOS intersection vector method is chosen based on the principle of collision detection in Vega. Hook is designed for the collision target using Isector module in Lynx and the same intersection vector masks in Isector Class are guaranteed. Then, the BUMP collision detection for hook is created by calling vgIsector functions in VC++ and BUMP detection method of hook is bounded with hook. Finally, conditional statements which ensure hook to move without collision are compiled. Therefore, the virtual scene around the hook is detected in real time. The results show that the phenomenon of passing through by mistake for the hook can be avoided applying the BUMP collision detection method in Vega software in visual simulation system for bridge cranes, and the accuracy for BUMP method detecting the goods is improved using LOS collision detection method.

Collision Detection for Virtual Objects in a Haptic Assembly and Disassembly Simulation Environment

2002 ◽  
Author(s):  
Adam S. Coutee ◽  
Bert Bras
Keyword(s):  
Virtual Environment ◽  
Collision Detection ◽  
State Of The Art ◽  
Large Body ◽  
Detection Algorithm ◽  
Simulation Environment ◽  
Virtual Objects ◽  
Haptic Simulation ◽  
Object Interactions ◽  
Assembly Analysis

There exist a large body of work in the field of assembly, sometimes involving the use of a virtual environment to assist the user in assembly analysis. We have developed HIDRA (Haptic Integrated Dis/Re-assembly Analysis), a real-time haptic simulation for the analysis of assembly and disassembly operations. In this paper, we address the state of the art in collision detection and the implications it has on the effectiveness of our simulation. In particular, we focus on the usability of current collision detection libraries and discuss some of their limitations. Also, techniques to improve the robust ness of object interactions, in support of a collision detection algorithm, are presented. Although HIDRA is focused on assembly and disassembly simulations, the techniques described are relevant for the broader development of haptically enabled simulations.

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