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» Map Building and Localization for Underwater Navigation
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IJCAI
1997
13 years 8 months ago
Learning Topological Maps with Weak Local Odometric Information
cal maps provide a useful abstraction for robotic navigation and planning. Although stochastic mapscan theoreticallybe learned using the Baum-Welch algorithm,without strong prior ...
Hagit Shatkay, Leslie Pack Kaelbling
AROBOTS
2002
91views more  AROBOTS 2002»
13 years 7 months ago
Fast, On-Line Learning of Globally Consistent Maps
To navigate in unknown environments, mobile robots require the ability to build their own maps. A major problem for robot map building is that odometry-based dead reckoning cannot ...
Tom Duckett, Stephen Marsland, Jonathan Shapiro
ICRA
1993
IEEE
142views Robotics» more  ICRA 1993»
13 years 11 months ago
Avoiding the Past: A Simple but Effective Strategy for Reactive Navigation
An issue central to the navigation problem is memory. Traditional systems build symbolic maps of the world for navigational reference. Reactive methods, in contrast, eliminate or m...
Tucker R. Balch, Ronald C. Arkin
ICRA
2000
IEEE
108views Robotics» more  ICRA 2000»
13 years 11 months ago
High Accuracy Navigation Using Laser Range Sensors in Outdoor Applications
This paper presents the design of a high accuracy outdoor navigation system based on standard dead reckoning sensors and laser range and bearing information. The data validation p...
José E. Guivant, Eduardo Mario Nebot, Stefa...
ETFA
2008
IEEE
14 years 1 months ago
3D-based monocular SLAM for mobile agents navigating in indoor environments
This paper presents a novel algorithm for 3D depth estimation using a particle filter (PFDE - Particle Filter Depth Estimation) in a monocular vSLAM (Visual Simultaneous Localiza...
Dejan Pangercic, Radu Bogdan Rusu, Michael Beetz