Numerically Robust Continuous Collision Detection for Dynamic Explicit Surfaces
نویسندگان
چکیده
We present a new, provably robust method for continuous collision detection for moving triangle meshes. Our method augments the spatial coordinate system by one dimension, representing time. We can then apply numerically robust predicates from computational geometry to detect intersections in space-time. These predicates use only multiplication and addition, so we can determine the maximum numerical error accumulated in their computation. From this forward error analysis, we can identify and handle degenerate geometric configurations without resorting to user-tuned error tolerances.
منابع مشابه
Dynamic explicit surface meshes and applications(DRAFT: July 27, 2012)
Explicit surface tracking encompasses the discretization of moving surfaces in 3D with triangle meshes. This thesis presents key contributions towards making explicit surface tracking tractable. I first deal with the topology change problem (the merging and splitting of mesh surfaces), introducing a framework for guaranteeing intersection-free surfaces while handling these topological changes. ...
متن کاملPiezoelectric Polymer-Based Collision Detection Sensor for Robotic Applications
The authors present a large area collision detection sensor utilizing the piezoelectric effect of polyvinylidene fluoride film. The proposed sensor system provides high dynamic range for touch sensation, as well as robust adaptability to achieve collision detection on complex-shaped surfaces. The design allows for cohabitation of humans and robots in cooperative environments that require advanc...
متن کاملCollision and Self-Collision Detection :Efficient and Robust Solutions for Highly Deformable Surfaces
We present an efficient algorithm for detecting self collisions, as well as some techniques for evaluating collision inside-outside orientation in a robust way. As presented in [VOL 94], we detect collisions using a hierarchical algorithm that takes advantage of curvature properties giving us full power of hierarchical algorithms for self-collision situations. Determining the collision orientat...
متن کاملRobust Fault Detection on Boiler-turbine Unit Actuators Using Dynamic Neural Networks
Due to the important role of the boiler-turbine units in industries and electricity generation, it is important to diagnose different types of faults in different parts of boiler-turbine system. Different parts of a boiler-turbine system like the sensor or actuator or plant can be affected by various types of faults. In this paper, the effects of the occurrence of faults on the actuators are in...
متن کاملContinuous Collision Detection for Composite Quadric Models
A composite quadric model (CQM) is an object modeled by piecewise linear or quadric patches. We study the continuous detection problem of a special type of CQM objects which are commonly used in CAD/CAM, that is, the boundary surfaces of such a CQM intersect only in straight line segments or conic curve segments. We present a framework for continuous collision detection (CCD) of this special ty...
متن کامل