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» Modeling Moving Objects for Location Based Services
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IROS
2008
IEEE
142views Robotics» more  IROS 2008»
15 years 10 months ago
Probabilistic mapping of dynamic obstacles using Markov chains for replanning in dynamic environments
— Robots acting in populated environments must be capable of safe but also time efficient navigation. Trying to completely avoid regions resulting from worst case predictions of...
Florian Rohrmüller, Matthias Althoff, Dirk Wo...
IS
2007
15 years 3 months ago
Evaluation of probabilistic queries over imprecise data in constantly-evolving environments
Sensors are often employed to monitor continuously changing entities like locations of moving objects and temperature. The sensor readings are reported to a database system, and a...
Reynold Cheng, Dmitri V. Kalashnikov, Sunil Prabha...
ISMAR
2009
IEEE
15 years 10 months ago
Mobile augmented reality based 3D snapshots
: In this paper, we present a mobile augmented reality application that is based on the acquisition of user-generated content obtained by 3D snapshotting. To take a 3D snapshot of ...
Peter Keitler, Frieder Pankratz, Björn Schwer...
SSIAI
2000
IEEE
15 years 8 months ago
A New Bayesian Relaxation Framework for the Estimation and Segmentation of Multiple Motions
In this paper we propose a new probabilistic relaxation framework to perform robust multiple motion estimation and segmentation from a sequence of images. Our approach uses displa...
Alexander Strehl, Jake K. Aggarwal
CGF
2007
145views more  CGF 2007»
15 years 4 months ago
Data-driven Tetrahedral Mesh Subdivision
Given a tetrahedral mesh immersed in a voxel model, we present a method to refine the mesh to reduce the discrepancy between interpolated values based on either scheme at arbitra...
L. Rodriguez, Isabel Navazo, Alvar Vinacua