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» Path planning on a compressed terrain
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AROBOTS
2008
158views more  AROBOTS 2008»
14 years 9 months ago
Learning traversability models for autonomous mobile vehicles
Autonomous mobile robots need to adapt their behavior to the terrain over which they drive, and to predict the traversability of the terrain so that they can effectively plan thei...
Michael Shneier, Tommy Chang, Tsai Hong, William P...
75
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IJRR
2006
96views more  IJRR 2006»
14 years 9 months ago
Unmanned Ground Vehicle Navigation Using Aerial Ladar Data
In this paper, we investigate the use of overhead high-resolution three-dimensional (3-D) data for enhancing the performances of an Unmanned Ground Vehicle (UGV) in vegetated terra...
Nicolas Vandapel, Raghavendra Donamukkala, Martial...
3DPVT
2006
IEEE
145views Visualization» more  3DPVT 2006»
15 years 3 months ago
The Recursive Multi-Frame Planar Parallax Algorithm
This paper presents a method for obtaining accurate dense elevation and appearance models of terrain using a single camera on-board an aerial platform. Applications of this method...
Christopher Geyer, Todd Templeton, Marci Meingast,...
AR
2010
159views more  AR 2010»
14 years 9 months ago
Odometry Correction Using Visual Slip Angle Estimation for Planetary Exploration Rovers
This paper introduces a novel method for slip angle estimation based on visually observing the traces produced by the wheels of a robot on soft, deformable terrain. The proposed a...
Giulio Reina, Genya Ishigami, Keiji Nagatani, Kazu...
RSS
2007
136views Robotics» more  RSS 2007»
14 years 11 months ago
The Stochastic Motion Roadmap: A Sampling Framework for Planning with Markov Motion Uncertainty
— We present a new motion planning framework that explicitly considers uncertainty in robot motion to maximize the probability of avoiding collisions and successfully reaching a ...
Ron Alterovitz, Thierry Siméon, Kenneth Y. ...