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CGVR
2008
15 years 2 months ago
Generating Smooth Virtual Reality Maps Using 3D Building Blocks
- In this paper, we describe a 3D modeling program called RMBL3D, Realistic Maps Built like Legos, which manipulates the architectural repetition in building structures to produce ...
Bradley J. Wimpey, Walter D. Potter
141
Voted
AUTOMATICA
2011
14 years 7 months ago
A frequentist approach to mapping under uncertainty
An asynchronous stochastic approximation based (Frequentist) approach is proposed for mapping using noisy mobile sensors under two different scenarios: 1) perfectly known sensor ...
Suman Chakravorty, R. Saha
84
Voted
FSR
2003
Springer
131views Robotics» more  FSR 2003»
15 years 6 months ago
Automatic 3D Underground Mine Mapping
For several years, our research group has been developing methods for automated modeling of 3D environments. In September, 2002, we were given the opportunity to demonstrate our m...
Daniel F. Huber, Nicolas Vandapel
107
Voted
IJCAI
2003
15 years 2 months ago
Qualitative Map Learning Based on Co-visibility of Objects
This paper proposes a unique map learning method for mobile robots based on the co-visibility infor­ mation of objects i.e., the information on whether two objects are visible at...
Takehisa Yairi, Koichi Hori
93
Voted
ICPR
2002
IEEE
16 years 1 months ago
Scene Classification from Dense Disparity Maps in Indoor Environments
We present our approach for scene classification in dense disparity maps from a binocular stereo system. The classification result is used for tracking and navigation purposes. Th...
Darius Burschka, Gregory D. Hager