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» Image deblurring using inertial measurement sensors
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CVPR
2010
IEEE
15 years 5 months ago
Super-Resolution of Range Data in Dynamic Environments Using a Gaussian Framework
We present a flexible method for fusing information from optical and range sensors based on an accelerated highdimensional filtering approach. Our system takes as input a sequen...
Jennifer Dolson, Jongmin Baek, Christian Plagemann...
IJCV
2008
157views more  IJCV 2008»
14 years 9 months ago
A General Method for Sensor Planning in Multi-Sensor Systems: Extension to Random Occlusion
Systems utilizing multiple sensors are required in many domains. In this paper, we specifically concern ourselves with applications where dynamic objects appear randomly and the s...
Anurag Mittal, Larry S. Davis
RSS
2007
192views Robotics» more  RSS 2007»
14 years 11 months ago
Map-Based Precision Vehicle Localization in Urban Environments
Abstract— Many urban navigation applications (e.g., autonomous navigation, driver assistance systems) can benefit greatly from localization with centimeter accuracy. Yet such ac...
Jesse Levinson, Michael Montemerlo, Sebastian Thru...
CVPR
2007
IEEE
15 years 11 months ago
Sensor noise modeling using the Skellam distribution: Application to the color edge detection
In this paper, we introduce the Skellam distribution as a sensor noise model for CCD or CMOS cameras. This is derived from the Poisson distribution of photons that determine the s...
Youngbae Hwang, Jun-Sik Kim, In-So Kweon
3DIM
1999
IEEE
15 years 2 months ago
Bayesian Estimation of Distance and Surface Normal with a Time-of-Flight Laser Rangefinder
We describe a Bayesian estimation method for measurement of both range and surface orientation using a laser range finder. The method not only provides more accurate estimates of ...
Jochen Lang, Dinesh K. Pai