An Accurate Distance-Calculation Algorithm for Convex Polyhedra

Author(s):  
Eva Dyllong ◽  
Wolfram Luther ◽  
Werner Otten
2018 ◽  
Vol 30 (10) ◽  
pp. 1794
Author(s):  
Dejun Zhang ◽  
Fazhi He ◽  
Long Tian ◽  
Zhuyang Xie ◽  
Lu Zou

2012 ◽  
Vol 499 ◽  
pp. 464-468
Author(s):  
Ke Shan Chen ◽  
Zhi Hong Xu ◽  
Lin Yang Gong

In this paper, we present an algorithm about distance calculation based on RSSI of RF. To calculate value of RSSI according to the classic model of signal attenuation, Radio propagation path loss model and formula of received signal strength, establish the relationship chart between the distance and RSSI value. And through the wireless module CC2430 of ETC system for real-time data collection. Compared with the theoretical data and the measured data. Do the correction through calibration model. Resulting more perfect algorithm about distance calculation.


2011 ◽  
Vol 4 (8) ◽  
pp. 506-517 ◽  
Author(s):  
Sarana Nutanong ◽  
Edwin H. Jacox ◽  
Hanan Samet

Robotica ◽  
1988 ◽  
Vol 6 (1) ◽  
pp. 47-51 ◽  
Author(s):  
G. Hurteau ◽  
N. F. Stewart

SUMMARYMinimum distance algorithms may be used in robotic simulation programs to provide the user with the distances of approach of the manipulator to obstacles in the work environment; this is important for task planning using graphical simulation of configuration maps, and for the implementation of automatic detection of (imminent) collision in robot task development Systems that are based on a graphical simulation facility. In this paper we present algorithms that may be used for the calculation of distances between objects, not necessarily convex, that are made up of unions of convex polyhedra and cylindrically shaped objects (where the cross-section of the cylinder may be ellipsoidal, rather than circular).


2019 ◽  
Vol 25 ◽  
pp. 125
Author(s):  
Mark Christiansen ◽  
Timothy Bailey ◽  
Leslie Klaff ◽  
Ron Brazg ◽  
Anna Chang ◽  
...  

2014 ◽  
Vol 59 (2) ◽  
pp. 553-562 ◽  
Author(s):  
Agnieszka Surowiak ◽  
Marian Brożek

Abstract Settling velocity of particles, which is the main parameter of jig separation, is affected by physical (density) and the geometrical properties (size and shape) of particles. The authors worked out a calculation algorithm of particles settling velocity distribution for irregular particles assuming that the density of particles, their size and shape constitute independent random variables of fixed distributions. Applying theorems of probability, concerning distributions function of random variables, the authors present general formula of probability density function of settling velocity irregular particles for the turbulent motion. The distributions of settling velocity of irregular particles were calculated utilizing industrial sample. The measurements were executed and the histograms of distributions of volume and dynamic shape coefficient, were drawn. The separation accuracy was measured by the change of process imperfection of irregular particles in relation to spherical ones, resulting from the distribution of particles settling velocity.


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