GitHub - ParisaMollahoseini/RVO2-3D_Hungarian_Seperated_with_Barrier: Optimal Reciprocal Collision Avoidance in Three Dimensions (C++)

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Python wrapper for the RVO2-3D Library https://github.com/snape/RVO2-3D
=======================================================================

Tested on:
----------

Ubuntu 16.04 LTS x64 (64 bit) machine
    - Python 2.7.12 (default, Nov 19 2016, 06:48:10) [GCC 5.4.0 20160609] on linux2
    - Python 3.5.2 (default, Nov 17 2016, 17:05:23) [GCC 5.4.0 20160609] on linux

Windows 10 Pro, x64 (64 bit) machine, win32
    - Python 2.7.10 (default, Jan 25 2017, 13:14:03) [MSC v.1900 64 bit (AMD64)] (http://p-nand-q.com/python/building-python-27-with-vs2010.html)
    - Python 3.6.1 |Anaconda 4.4.0 (64-bit)| (default, May 11 2017, 13:25:24) [MSC v.1900 64 bit (AMD64)] on win32 (Anaconda3 4.4.0 64 bit)

Wrapper inspired by https://github.com/sybrenstuvel/Python-RVO2


Original Readme
===============

RVO2-3D Library is an easy-to-use C++ implementation of the optimal reciprocal
collision avoidance (ORCA) formulation <http://gamma.cs.unc.edu/ORCA/> for
multi-agent simulation in three dimensions. RVO2 Library automatically uses
parallelism for computing the motion of the agents on machines with multiple
processors and a compiler supporting OpenMP <http://www.openmp.org/>.

Please send all bug reports to <[email protected]>.

The authors may be contacted via:

Jamie Snape, Jur van den Berg, Stephen J. Guy, Ming C. Lin, Dinesh Manocha
Dept. of Computer Science
201 S. Columbia St.
Frederick P. Brooks, Jr. Computer Science Bldg.
Chapel Hill, N.C. 27599-3175
United States of America

<http://gamma.cs.unc.edu/RVO2/>