@inproceedings{a128dd6e738e49cdbe7250878d450c77,
title = "Multi-scale perception and path planning on probabilistic obstacle maps",
abstract = "We present a path-planning algorithm that leverages a multi-scale representation of the environment. The algorithm works in n dimensions. The information of the environment is stored in a tree representing a recursive dyadic partitioning of the search space. The information used by the algorithm is the probability that a node of the tree corresponds to an obstacle in the search space. The complexity of the proposed algorithm is analyzed and its completeness is shown.",
author = "Florian Hauer and Abhijit Kundu and Rehg, {James M.} and Panagiotis Tsiotras",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 2015 IEEE International Conference on Robotics and Automation, ICRA 2015 ; Conference date: 26-05-2015 Through 30-05-2015",
year = "2015",
month = jun,
day = "29",
doi = "10.1109/ICRA.2015.7139779",
language = "English (US)",
series = "Proceedings - IEEE International Conference on Robotics and Automation",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "June",
pages = "4210--4215",
booktitle = "2015 IEEE International Conference on Robotics and Automation, ICRA 2015",
address = "United States",
edition = "June",
}