5 search results - page 1 / 1 » Probabilistic mapping of dynamic obstacles using Markov chai... |
IROS
2008
IEEE
13 years 11 months ago
2008
IEEE
— Robots acting in populated environments must be capable of safe but also time efficient navigation. Trying to completely avoid regions resulting from worst case predictions of...
IROS
2006
IEEE
13 years 10 months ago
2006
IEEE
— This paper presents work on sensor-based motion planning in initially unknown dynamic environments. Motion detection and modeling are combined with a smooth navigation function...
ICRA
2007
IEEE
13 years 11 months ago
2007
IEEE
Abstract— The Rapidly-exploring Random Tree (RRT) algorithm has found widespread use in the field of robot motion planning because it provides a single-shot, probabilistically c...
ICRA
2010
IEEE
13 years 3 months ago
2010
IEEE
— Autonomous vehicle navigation in dynamic urban environments requires localization accuracy exceeding that available from GPS-based inertial guidance systems. We have shown prev...
ECCV
2002
Springer
14 years 6 months ago
2002
Springer
In this paper, we present a stochastic algorithm by effective Markov chain Monte Carlo (MCMC) for segmenting and reconstructing 3D scenes. The objective is to segment a range image...