Title
Collision detection between point clouds using an efficient k -d tree implementation
Abstract
Context: An important task in civil engineering is the detection of collisions of a 3D model with an environment representation. Existing methods using the structure gauge provide an insufficient measure because the model either rotates or because the trajectory makes tight turns through narrow passages. This is the case in either automotive assembly lines or in narrow train tunnels.
Year
DOI
Venue
2015
10.1016/j.aei.2015.03.007
Advanced Engineering Informatics
Keywords
Field
DocType
Collision detection,Interference detection,k-d tree,Kinematic laser scanning,3D point clouds
Data structure,Data mining,Collision detection,Simulation,k-d tree,Algorithm,Six degrees of freedom,Penetration depth,Engineering,Point cloud,Gauge (firearms),Trajectory
Journal
Volume
Issue
ISSN
29
3
1474-0346
Citations 
PageRank 
References 
4
0.50
17
Authors
2
Name
Order
Citations
PageRank
Johannes Schauer170.98
Andreas Nüchter2134190.03