Gaussian Sampling for Probabilistic Roadmap Planners Export

@inproceedings{citeulike:819576, abstract = {this paper we present a new, simple sampling strategy, which we call the Gaussian sampler, that gives a much better coverage of the difficult parts of the free configuration space compared with the standard uniform sampler. This results in much smaller roadmaps that can be computed faster}, author = {Boor, Val\'{e}rie and Overmars, Mark H. and van der Stappen, Frank A.}, booktitle = {IEEE International Conference on Robotics and Automation}, citeulike-article-id = {819576}, citeulike-linkout-0 = {http://citeseer.ist.psu.edu/boor01gaussian.html}, citeulike-linkout-1 = {http://citeseer.lcs.mit.edu/boor01gaussian.html}, citeulike-linkout-2 = {http://citeseer.ifi.unizh.ch/boor01gaussian.html}, citeulike-linkout-3 = {http://citeseer.comp.nus.edu.sg/boor01gaussian.html}, keywords = {prm}, pages = {1018--1023}, posted-at = {2009-09-23 13:41:01}, priority = {2}, title = {Gaussian Sampling for Probabilistic Roadmap Planners}, url = {http://citeseer.ist.psu.edu/boor01gaussian.html}, volume = {2}, year = {1999} }

TY - CONF ID - citeulike:819576 L3 - citeulike-article-id:819576 N2 - this paper we present a new, simple sampling strategy, which we call the Gaussian sampler, that gives a much better coverage of the difficult parts of the free configuration space compared with the standard uniform sampler. This results in much smaller roadmaps that can be computed faster EP - 1023 TI - Gaussian Sampling for Probabilistic Roadmap Planners VL - 2 T2 - IEEE International Conference on Robotics and Automation SP - 1018 KW - prm AU - Boor, Valérie AU - Overmars, Mark AU - van der Stappen, Frank PY - 1999/// UR - http://citeseer.ist.psu.edu/boor01gaussian.html ER -