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» A neural approach to a sensor fusion problem
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IROS
2007
IEEE
186views Robotics» more  IROS 2007»
14 years 1 months ago
3D forward sensor modeling and application to occupancy grid based sensor fusion
— This paper presents a new technique for the update of a probabilistic spatial occupancy grid map using a forward sensor model. Unlike currently popular inverse sensor models, f...
Kaustubh Pathak, Andreas Birk 0002, Jann Poppinga,...
IJPRAI
2006
114views more  IJPRAI 2006»
13 years 7 months ago
Selective Voting - Getting More for Less in Sensor Fusion
Many real life problems are characterized by the structure of data derived from multiple sensors. The sensors may be independent, yet their information considers the same entities...
Lior Rokach, Oded Maimon, Reuven Arbel
ACSC
2004
IEEE
13 years 11 months ago
Sensor Fusion Weighting Measures in Audio-Visual Speech Recognition
Audio-Visual Speech Recognition (AVSR) uses vision to enhance speech recognition but also introduces the problem of how to join (or fuse) these two signals together. Mainstream re...
Trent W. Lewis, David M. W. Powers
PRL
2002
101views more  PRL 2002»
13 years 7 months ago
Multifocus image fusion using artificial neural networks
Optical lenses, particularly those with long focal lengths, suffer from the problem of limited depth of field. Consequently, it is often difficult to obtain good focus for all obj...
Shutao Li, James T. Kwok, Yaonan Wang
JCM
2006
118views more  JCM 2006»
13 years 7 months ago
Joint Optimization of Local and Fusion Rules in a Decentralized Sensor Network
Decentralized sensor networks are collections of individual local sensors that observe a common phenomenon, quantize their observations, and send this quantized information to a ce...
Nithya Gnanapandithan, Balasubramaniam Natarajan