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» Motion planning in urban environments: Part I
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IROS
2009
IEEE
227views Robotics» more  IROS 2009»
14 years 2 months ago
Cell-RRT: Decomposing the environment for better plan
— In order to define an architecture for task and motion planning of a mobile robot, we propose the CellRRT path planner that combines the advantages of planning approaches by d...
Julien Guitton, Jean-Loup Farges, Raja Chatila
MICAI
2005
Springer
14 years 1 months ago
A Framework for Reactive Motion and Sensing Planning: A Critical Events-Based Approach
We propose a framework for reactive motion and sensing planning based on critical events. A critical event amounts to crossing a critical curve, which divides the environment. We h...
Rafael Murrieta-Cid, Alejandro Sarmiento, Teja Mup...
NIPS
1993
13 years 9 months ago
Robust Reinforcement Learning in Motion Planning
While exploring to nd better solutions, an agent performing online reinforcement learning (RL) can perform worse than is acceptable. In some cases, exploration might have unsafe, ...
Satinder P. Singh, Andrew G. Barto, Roderic A. Gru...
GIS
2009
ACM
14 years 8 months ago
Augmenting Cartographic Resources for Autonomous Driving
In this paper we present algorithms for automatically generating a road network description from aerial imagery. The road network inforamtion (RNI) produced by our algorithm inclu...
Young-Woo Seo, Chris Urmson, David Wettergreen Ji...
MVA
1990
170views Computer Vision» more  MVA 1990»
13 years 8 months ago
Automatic Fire Detection by Changing Region Analysis Based on Geographic Information
This paper proposes a new method for automatic fire detection in cities using image processing techniques. Images are obtained successively at regular intervals from monochrome TV...
Hideo Numagami, Akio Okazaki