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» Robust Autonomous Model Learning from 2D and 3D Data Sets
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AIPR
2003
IEEE
15 years 7 months ago
Sensor and Classifier Fusion for Outdoor Obstacle Detection: an Application of Data Fusion To Autonomous Off-Road Navigation
This paper describes an approach for using several levels of data fusion in the domain of autonomous off-road navigation. We are focusing on outdoor obstacle detection, and we pre...
Cristian Dima, Nicolas Vandapel, Martial Hebert
ECCV
2002
Springer
16 years 6 months ago
Nonlinear Shape Statistics in Mumford-Shah Based Segmentation
We present a variational integration of nonlinear shape statistics into a Mumford?Shah based segmentation process. The nonlinear statistics are derived from a set of training silho...
Christoph Schnörr, Daniel Cremers, Timo Kohlb...
AROBOTS
2008
158views more  AROBOTS 2008»
15 years 4 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...
CRV
2007
IEEE
138views Robotics» more  CRV 2007»
15 years 10 months ago
Terrain Modelling for Planetary Exploration
The success of NASA’s Mars Exploration Rovers has demonstrated the important benefits that mobility adds to planetary exploration. Very soon, mission requirements will impose t...
Ioannis M. Rekleitis, Jean-Luc Bedwani, Sebastien ...
3DIM
2003
IEEE
15 years 9 months ago
Reliable and Rapidly-Converging ICP Algorithm Using Multiresolution Smoothing
Autonomous range acquisition for 3D modeling requires reliable range registration, for both the precise localization of the sensor and combining the data from multiple scans for v...
Kok-Lim Low, Anselmo Lastra